[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MAVH5SE7DN7KP8ESVA4H2R":3,"skill-same:01M6MAVH5SE7DN7KP8ESVA4H2R":151},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":54,"linkOnly":55,"markdownContent":56,"markdownBody":57,"frontMatter":58,"refName":67,"commitSha":68,"skillDirectory":69,"forksCount":70,"repositoryHtmlUrl":71,"repositoryHomepageUrl":72,"ownerHtmlUrl":73,"ownerBlogUrl":74,"ownerDescription":75,"updatedAt":76,"install":77,"resources":90},"01M6MAVH5SE7DN7KP8ESVA4H2R","pymatgen",null,"Analyzes, validates, converts, and transforms crystal structures and molecules with pymatgen. It covers CIF\u002FPOSCAR\u002FXYZ\u002FJSON conversion, symmetry-tolerance sweeps, local phase diagrams from computed entries, VASP and Q-Chem I\u002FO, band structure and DOS parsing, and bounded Materials Project (mp-api) queries. Use when validating a CIF or checking disorder and oxidation states. Use when assigning space groups and testing symprec sensitivity. Use when converting structure files and checking for representation loss. Use when building a convex hull from total energies. Use when querying Materials Project with explicit fields and limits. Not for general molecular dynamics or non-materials cheminformatics.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1571,"MIT","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FKalarisLabs\u002Fresearch-agent-skills\u002Fskills\u002Fpymatgen\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"files","2026","phase","limits","for","verified","tolerance","states","scientific","dynamics","computational","molecular dynamics","project","physics","local","structure","testing","diagrams","uv","conversion","only","snapshot","write","read","access","Bash","api","library","mp","packages","2026-11-10 10:12:30",false,"---\nname: pymatgen\ndescription: Analyzes, validates, converts, and transforms crystal structures and molecules with pymatgen. It covers CIF\u002FPOSCAR\u002FXYZ\u002FJSON conversion, symmetry-tolerance sweeps, local phase diagrams from computed entries, VASP and Q-Chem I\u002FO, band structure and DOS parsing, and bounded Materials Project (mp-api) queries. Use when validating a CIF or checking disorder and oxidation states. Use when assigning space groups and testing symprec sensitivity. Use when converting structure files and checking for representation loss. Use when building a convex hull from total energies. Use when querying Materials Project with explicit fields and limits. Not for general molecular dynamics or non-materials cheminformatics.\nlicense: MIT\ncompatibility: Python 3.11+ with uv. The verified snapshot uses pymatgen 2026.5.4, pymatgen-core 2026.7.16, and mp-api 0.46.4. Bundled help and planning CLIs use only the standard library; local scientific execution lazily requires the pinned pymatgen packages. Materials Project access additionally requires explicit network approval and the single named secret MP_API_KEY.\nallowed-tools: Read Write Bash Glob Python\nmetadata:\n  version: '1.3'\n  category: physical-sciences\n  maintainer: Kalaris Labs\n  last-reviewed: '2026-07-23'\n  tags: materials science, crystal structures, computational materials, VASP, physics\n---\n\n# pymatgen\n\nUse pymatgen for explicit, provenance-preserving work with compositions,\nmolecules, periodic structures, computed entries, symmetry, phase diagrams,\nelectronic structures, and electronic-structure-code files. Treat every parse,\nconversion, symmetry assignment, transformation, and database result as\nmethod- and parameter-dependent.\n\nThe MIT frontmatter license covers this skill. `pymatgen` and\n`pymatgen-core` are MIT; `mp-api` declares BSD-3-Clause-LBNL. Materials Project\ndata is generally CC BY 4.0, while contributed data remains owned by its\ncontributors. Check the exact artifact and data terms before redistribution.\n\n## Verified snapshot (2026-07-23)\n\n- `pymatgen==2026.5.4` is the latest stable wrapper release (2026-05-04).\n  Package metadata requires Python 3.11+ and directly requires\n  `pymatgen-core>=2026.4.16`.\n- `pymatgen-core==2026.7.16` is the latest stable core release (2026-07-16).\n  It now contains core objects, symmetry\u002Flattice operations, and the I\u002FO layer,\n  all under the existing `pymatgen.*` namespace.\n- `mp-api==0.46.4` is the latest stable Materials Project client\n  (2026-06-15), requires Python 3.11+, and depends on\n  `pymatgen>2024.2.20`.\n- The current API site is built from 2026.7.16 core documentation. Pinning both\n  distributions prevents `pymatgen==2026.5.4` from silently resolving to a\n  different future core.\n- Pymatgen uses date-based versions. PyPI renders the date with dots; do not\n  infer semantic-version compatibility from the numbers.\n\nCreate a project lock for reproducibility:\n\n```bash\nuv init --python 3.11\nuv add \"pymatgen==2026.5.4\" \"pymatgen-core==2026.7.16\" \"mp-api==0.46.4\"\nuv lock\nuv sync --frozen\n```\n\nFor a disposable reviewed environment:\n\n```bash\nuv venv --python 3.11 .venv-pymatgen\nuv pip install --python .venv-pymatgen\u002Fbin\u002Fpython \\\n  \"pymatgen==2026.5.4\" \"pymatgen-core==2026.7.16\" \"mp-api==0.46.4\"\n```\n\nDirect pins do not freeze all transitive wheels. Preserve `uv.lock`, platform,\nPython version, package versions, and artifact hashes.\n\n## Required workflow\n\n1. State whether the object is a non-periodic `Molecule` or periodic\n   `Structure`; record lattice and periodic boundary conditions.\n2. State units. Pymatgen commonly uses Å, degrees, eV, eV\u002Fatom, amu, and\n   g\u002Fcm³, but each API's documented contract is authoritative.\n3. State coordinate mode. `Structure` coordinates are fractional unless\n   `coords_are_cartesian=True`; `Molecule` coordinates are Cartesian.\n4. Inspect every parser warning. For CIF, preserve occupancy, site-merging,\n   stoichiometry, and correction warnings; do not silently accept fixes.\n5. Report disorder\u002Fpartial occupancies and oxidation-state decoration. Never\n   guess oxidation states implicitly.\n6. Run validation before symmetry, neighbor, transformation, conversion, or\n   thermodynamic analysis.\n7. Sweep symmetry tolerances and report `symprec` in Å and\n   `angle_tolerance` in degrees with every assignment.\n8. Treat transformations as new artifacts. Preserve the input, parameters,\n   software versions, warnings, and parent\u002Fchild checksums.\n9. Before conversion, identify representation loss. Write only to a new path\n   and round-trip-check scientifically relevant properties.\n10. Build phase diagrams only from compatible total energies and correction\n    schemes. A computed hull is conditional on the supplied entry set.\n11. Keep all database access off by default. Disclose endpoint, filters,\n    fields, result limit, cache behavior, output, license, and citation before\n    an explicit execution step.\n12. Preserve an artifact manifest. Never use pickle or load an untrusted\n    general object graph; use schema-validated JSON and explicit constructors.\n\n## Core objects\n\nUse the public convenience imports:\n\n```python\nfrom pymatgen.core import Composition, Element, Lattice, Molecule, Structure\n\ncomposition = Composition(\"LiFePO4\", strict=True)\niron = Element(\"Fe\")\n\nlattice = Lattice.cubic(5.64)  # Å\nstructure = Structure(\n    lattice,\n    [\"Na\", \"Cl\"],\n    [[0, 0, 0], [0.5, 0.5, 0.5]],\n    coords_are_cartesian=False,\n    validate_proximity=True,\n)\n\nmolecule = Molecule(\n    [\"O\", \"H\", \"H\"],\n    [[0.0, 0.0, 0.0], [0.758, 0.0, 0.504], [-0.758, 0.0, 0.504]],\n    charge=0,\n    spin_multiplicity=1,\n)\n```\n\n`Structure` and `Molecule` are mutable; use `IStructure`\u002F`IMolecule` or an\nexplicit copy when mutation would compromise provenance. See\n[core classes](references\u002Fcore_classes.md).\n\n## Safe local structure intake\n\nPrefer the bundled validator, which captures CIF and Python warnings and\nreports units, occupancy, disorder, oxidation states, periodicity, coordinate\nmode, and minimum distances:\n\n```bash\npython scripts\u002Fcomposition_structure_validator.py composition \"Fe2O3\"\npython scripts\u002Fcomposition_structure_validator.py structure structure.cif\npython scripts\u002Fstructure_analyzer.py structure.cif --symmetry\n```\n\nFor direct CIF work, use the current parser method and inspect both warning\nchannels:\n\n```python\nimport warnings\nfrom pymatgen.io.cif import CifParser\n\nwith warnings.catch_warnings(record=True) as caught:\n    warnings.simplefilter(\"always\")\n    parser = CifParser(\"input.cif\", check_cif=True)\n    structures = parser.parse_structures(\n        primitive=False,\n        check_occu=True,\n        on_error=\"raise\",\n    )\n\nparser_messages = list(parser.warnings)\npython_messages = [str(item.message) for item in caught]\n```\n\nDo not parse untrusted files in a privileged process. A critical malicious-CIF\ncode-execution flaw affected pymatgen through 2024.2.8 and was fixed in\n2024.2.20; the pinned release is newer, but parsers still process attacker\ncontrolled input. Use isolation and CPU\u002FRAM\u002Fdisk\u002Ftime limits.\n\n## Symmetry\n\nSpace-group assignment depends on tolerances and structure quality:\n\n```python\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n\nanalyzer = SpacegroupAnalyzer(\n    structure,\n    symprec=0.01,          # Å\n    angle_tolerance=5.0,   # degrees\n)\nsymbol = analyzer.get_space_group_symbol()\nnumber = analyzer.get_space_group_number()\n```\n\nThe Materials Project pipeline commonly uses `symprec=0.1 Å`, while pymatgen's\ndocumented default is `0.01 Å`; these can produce different assignments.\nGenerate a sensitivity report instead of changing tolerance until a preferred\nanswer appears:\n\n```bash\npython scripts\u002Fsymmetry_sensitivity_report.py structure.cif \\\n  --symprec 0.001,0.01,0.1 --angle-tolerance 1,5\n```\n\nSee [analysis modules](references\u002Fanalysis_modules.md).\n\n## Conversion and parser\u002Fwriter I\u002FO\n\nPlan first; the planner does not open files or import pymatgen:\n\n```bash\npython scripts\u002Fio_conversion_plan.py \\\n  --input input.cif --input-format cif \\\n  --output POSCAR.new --output-format poscar \\\n  --periodic --coordinate-mode direct\n```\n\nThen convert to a new path with explicit loss acknowledgement:\n\n```bash\npython scripts\u002Fstructure_converter.py input.cif POSCAR.new \\\n  --output-format poscar --coordinate-mode direct --allow-lossy \\\n  --acknowledge-parser-warnings\n```\n\nCIF, POSCAR, XYZ, and JSON do not preserve the same semantics. Check lattice,\nperiodicity, coordinate mode, species ordering, selective dynamics, site\nproperties, oxidation states, labels, and disorder after every conversion.\nSee [I\u002FO formats](references\u002Fio_formats.md).\n\n## Transformations and provenance\n\nTransform a copy and preserve history:\n\n```python\nfrom pymatgen.alchemy.materials import TransformedStructure\nfrom pymatgen.transformations.standard_transformations import (\n    SubstitutionTransformation,\n    SupercellTransformation,\n)\n\ntracked = TransformedStructure(structure.copy(), [])\ntracked.append_transformation(SupercellTransformation([2, 2, 2]))\ntracked.append_transformation(SubstitutionTransformation({\"Na\": \"K\"}))\nderived = tracked.final_structure\nhistory = tracked.history\n```\n\nOne-to-many ordering, doping, slab, and magnetic transformations can expand\ncombinatorially or invoke optional executables. Bound candidates, sites,\nsupercell size, runtime, and output count. See\n[transformations and workflows](references\u002Ftransformations_workflows.md).\n\n## Local phase diagrams\n\nThe bundled generator is offline and accepts only a strict JSON schema with\ntotal eV per entry and provenance:\n\n```json\n{\n  \"schema_version\": \"1.0\",\n  \"energy_unit\": \"eV\",\n  \"energy_basis\": \"total_per_entry\",\n  \"provenance\": {\n    \"source\": \"reviewed local calculations\",\n    \"method\": \"one compatible energy\u002Fcorrection scheme\"\n  },\n  \"entries\": [\n    {\n      \"entry_id\": \"local-Li\",\n      \"composition\": \"Li\",\n      \"energy_eV\": -1.0,\n      \"provenance\": {\"source\": \"calculation manifest sha256:...\"}\n    }\n  ]\n}\n```\n\n```bash\npython scripts\u002Fphase_diagram_generator.py entries.json --analyze Li2O\n```\n\nElemental endpoints and all competing phases must be present. Do not mix raw\nenergies from different functionals, pseudopotentials, magnetic states, or\ncorrection conventions. Computed on-hull status is not experimental stability.\n\n## Band structures, DOS, VASP, and Q-Chem\n\nParse only the data needed:\n\n```python\nfrom pymatgen.io.vasp import Vasprun\n\nrun = Vasprun(\n    \"vasprun.xml\",\n    parse_dos=True,\n    parse_eigen=True,\n    parse_projected_eigen=False,\n    parse_potcar_file=False,\n)\nband_structure = run.get_band_structure(line_mode=True)\nband_gap = band_structure.get_band_gap()\ncomplete_dos = run.complete_dos\n```\n\nProjected eigenvalues can require extreme memory. Verify convergence, k-path,\nspin\u002FSOC settings, Fermi-level conventions, smearing, and projection basis\nbefore interpreting gaps or DOS. A parser success is not a converged\ncalculation.\n\nCurrent Q-Chem interfaces are `pymatgen.io.qchem.inputs.QCInput` and\n`pymatgen.io.qchem.outputs.QCOutput`:\n\n```python\nfrom pymatgen.io.qchem.inputs import QCInput\n\njob = QCInput(\n    molecule,\n    rem={\"job_type\": \"sp\", \"method\": \"wb97x-v\", \"basis\": \"def2-svpd\"},\n)\ntext = str(job)\n```\n\nPymatgen writes inputs and parses outputs; it does not grant a VASP or Q-Chem\nlicense or establish method validity. POTCAR files are VASP-licensed and are\nnot distributed by pymatgen. Never redistribute them or scan unrelated\ndirectories for them. Optional tools such as enumlib, Bader, packmol, ffmpeg,\nand Zeo++ are native\u002Fexternal executables: review provenance, licenses, argv,\nworking directory, and resource limits before a separate explicit invocation.\n\n## Materials Project: plan before network\n\nUse only:\n\n```python\nfrom mp_api.client import MPRester\n```\n\nThe client reads `MP_API_KEY` when constructed. Supply only that named\nenvironment variable through the user's shell or secret manager. Do not accept\nthe key as a CLI argument, traverse `.env` files, dump environment variables,\nor print exception data without redaction.\n\nDry-run planning is the default:\n\n```bash\npython scripts\u002Fmp_query.py \\\n  --chemsys Li-Fe-O \\\n  --energy-above-hull 0 0.05 \\\n  --fields formula_pretty,energy_above_hull,band_gap,origins \\\n  --limit 25\n```\n\nOnly `--execute` permits one bounded summary query and requires a new output:\n\n```bash\npython scripts\u002Fmp_query.py \\\n  --material-id mp-149 \\\n  --fields formula_pretty,structure,origins,last_updated \\\n  --limit 1 --output mp-149.json --execute\n```\n\nThe CLI sets `num_chunks=1`, requires explicit fields and filters, caps results,\ndoes not implement an implicit result cache, and never overwrites output.\n`MPRester` initialization also performs compatibility\u002Fheartbeat metadata\nrequests; the plan discloses these, disables the platform-detail user agent and\nlocal database-version notification log, and records the returned database\nversion. The summary workflow does not request full-dataset cache downloads.\n`mp-api` 0.46.4 retries HTTP 429\u002F502\u002F504 according to its own configured policy\nand respects `Retry-After`; do not invent a numeric service quota or add an\nunbounded retry loop.\n\nMaterials Project core values are computed, method-dependent data—not\nexperimental truth. PBE commonly overestimates lattice parameters and\nsystematically underestimates band gaps; aggregated values can change across\ndatabase releases. Preserve retrieval time, query, fields, material\u002Ftask\norigins, database release when available, client versions, CC BY attribution,\nand the canonical plus property-specific citations. See\n[Materials Project API](references\u002Fmaterials_project_api.md).\n\n## Bundled CLIs\n\nAll CLIs have dependency-free `--help`, lazy scientific imports, bounded JSON,\nand no implicit network:\n\n- `scripts\u002Fcomposition_structure_validator.py` — strict composition\u002Fstructure\n  checks; optional oxidation-state guessing is explicit and bounded.\n- `scripts\u002Fstructure_analyzer.py` — bounded lattice, sites, symmetry, distance,\n  and optional CrystalNN report.\n- `scripts\u002Fsymmetry_sensitivity_report.py` — tolerance-grid space groups.\n- `scripts\u002Fio_conversion_plan.py` — dependency-free representation-loss plan.\n- `scripts\u002Fstructure_converter.py` — one-file conversion to a new path.\n- `scripts\u002Fphase_diagram_generator.py` — strict local computed-entry hull.\n- `scripts\u002Fmp_query.py` — dry-run MP query plan and opt-in bounded client.\n- `scripts\u002Fartifact_manifest.py` — checksums, versions, sources, and provenance.\n\nUse:\n\n```bash\npython scripts\u002Fartifact_manifest.py \\\n  --artifact input.cif --artifact analysis.json \\\n  --workflow \"local symmetry sensitivity\" --output manifest.json\n```\n\n## References\n\n- [Core classes](references\u002Fcore_classes.md)\n- [I\u002FO formats, VASP, and Q-Chem](references\u002Fio_formats.md)\n- [Analysis, symmetry, phase diagrams, bands, and DOS](references\u002Fanalysis_modules.md)\n- [Transformations and workflows](references\u002Ftransformations_workflows.md)\n- [Materials Project API, provenance, license, and limits](references\u002Fmaterials_project_api.md)\n\n## Sources (verified 2026-07-23)\n\n- [pymatgen 2026.5.4 on PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpymatgen\u002F)\n- [pymatgen-core 2026.7.16 on PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpymatgen-core\u002F)\n- [pymatgen API documentation](https:\u002F\u002Fpymatgen.org\u002F)\n- [pymatgen changelog](https:\u002F\u002Fpymatgen.org\u002FCHANGES.html)\n- [mp-api 0.46.4 on PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmp-api\u002F)\n- [Materials Project API getting started](https:\u002F\u002Fdocs.materialsproject.org\u002Fdownloading-data\u002Fusing-the-api\u002Fgetting-started)\n- [Materials Project query guide](https:\u002F\u002Fdocs.materialsproject.org\u002Fdownloading-data\u002Fusing-the-api\u002Fquerying-data)\n- [Materials Project FAQ and computed-data caveats](https:\u002F\u002Fdocs.materialsproject.org\u002Ffrequently-asked-questions)\n- [Materials Project citation page](https:\u002F\u002Fmaterialsproject.org\u002Fabout\u002Fcite)\n- [Official tutorial series endorsed by pymatgen](https:\u002F\u002Fgithub.com\u002Fcomputron\u002Fpymatgen_tutorials)\n\n## Agent operating procedure\n\n1. **Check the environment.** Confirm library versions, units, coordinate systems and data formats (FITS, CIF, HDF5, netCDF).\n2. **Pin down the inputs.** Confirm formats, identifiers and parameters from the data or the user. Ask rather than guess any value that changes the result.\n3. **Run a small version first.** Run on a small grid, region or subset and check physical plausibility.\n4. **Execute the full task** using the instructions and references above.\n5. **Validate the result.** Check units and dimensional consistency, conservation laws or known limits, and numerical convergence.\n6. **Report.** State what was run (versions, commands, parameters), what was checked, and what is still uncertain.\n\n| If this happens | Do this |\n|---|---|\n| Results violate known physical limits | Check units, boundary conditions and solver tolerances before reporting. |\n| A function, flag or endpoint in these instructions is missing in the installed version | Check the installed version's own documentation (`help()`, `--help`, official docs), adapt, and tell the user. Never invent an API. |\n| A required input, identifier or parameter is ambiguous | Ask the user, or state the assumption explicitly before running. |\n\n**Integrity rules**\n\n- Never fabricate results, parameters, identifiers, citations or statistics. If something cannot be run or verified, say so plainly.\n- Report uncertainties and numerical tolerances with every quantitative result.\n- Treat version-specific details here as possibly outdated: confirm them against the official documentation for the installed version.\n- Ask before actions that cost money, consume shared GPUs or cloud quota, touch personal or patient data, or cannot be undone.\n\n## Related skills\n\n- `molfeat`: Converts SMILES strings or RDKit\u002Fdatamol molecules into numerical features using molfeat (0.11.0), which provides calculators, scikit-learn…\n- `protocolsio-integration`: Reads, validates, and exports protocols.io data using the documented REST v3\u002Fv4 endpoints and the official MCP endpoint, and builds non-exe…\n","# pymatgen\n\nUse pymatgen for explicit, provenance-preserving work with compositions,\nmolecules, periodic structures, computed entries, symmetry, phase diagrams,\nelectronic structures, and electronic-structure-code files. Treat every parse,\nconversion, symmetry assignment, transformation, and database result as\nmethod- and parameter-dependent.\n\nThe MIT frontmatter license covers this skill. `pymatgen` and\n`pymatgen-core` are MIT; `mp-api` declares BSD-3-Clause-LBNL. Materials Project\ndata is generally CC BY 4.0, while contributed data remains owned by its\ncontributors. Check the exact artifact and data terms before redistribution.\n\n## Verified snapshot (2026-07-23)\n\n- `pymatgen==2026.5.4` is the latest stable wrapper release (2026-05-04).\n  Package metadata requires Python 3.11+ and directly requires\n  `pymatgen-core>=2026.4.16`.\n- `pymatgen-core==2026.7.16` is the latest stable core release (2026-07-16).\n  It now contains core objects, symmetry\u002Flattice operations, and the I\u002FO layer,\n  all under the existing `pymatgen.*` namespace.\n- `mp-api==0.46.4` is the latest stable Materials Project client\n  (2026-06-15), requires Python 3.11+, and depends on\n  `pymatgen>2024.2.20`.\n- The current API site is built from 2026.7.16 core documentation. Pinning both\n  distributions prevents `pymatgen==2026.5.4` from silently resolving to a\n  different future core.\n- Pymatgen uses date-based versions. PyPI renders the date with dots; do not\n  infer semantic-version compatibility from the numbers.\n\nCreate a project lock for reproducibility:\n\n```bash\nuv init --python 3.11\nuv add \"pymatgen==2026.5.4\" \"pymatgen-core==2026.7.16\" \"mp-api==0.46.4\"\nuv lock\nuv sync --frozen\n```\n\nFor a disposable reviewed environment:\n\n```bash\nuv venv --python 3.11 .venv-pymatgen\nuv pip install --python .venv-pymatgen\u002Fbin\u002Fpython \\\n  \"pymatgen==2026.5.4\" \"pymatgen-core==2026.7.16\" \"mp-api==0.46.4\"\n```\n\nDirect pins do not freeze all transitive wheels. Preserve `uv.lock`, platform,\nPython version, package versions, and artifact hashes.\n\n## Required workflow\n\n1. State whether the object is a non-periodic `Molecule` or periodic\n   `Structure`; record lattice and periodic boundary conditions.\n2. State units. Pymatgen commonly uses Å, degrees, eV, eV\u002Fatom, amu, and\n   g\u002Fcm³, but each API's documented contract is authoritative.\n3. State coordinate mode. `Structure` coordinates are fractional unless\n   `coords_are_cartesian=True`; `Molecule` coordinates are Cartesian.\n4. Inspect every parser warning. For CIF, preserve occupancy, site-merging,\n   stoichiometry, and correction warnings; do not silently accept fixes.\n5. Report disorder\u002Fpartial occupancies and oxidation-state decoration. Never\n   guess oxidation states implicitly.\n6. Run validation before symmetry, neighbor, transformation, conversion, or\n   thermodynamic analysis.\n7. Sweep symmetry tolerances and report `symprec` in Å and\n   `angle_tolerance` in degrees with every assignment.\n8. Treat transformations as new artifacts. Preserve the input, parameters,\n   software versions, warnings, and parent\u002Fchild checksums.\n9. Before conversion, identify representation loss. Write only to a new path\n   and round-trip-check scientifically relevant properties.\n10. Build phase diagrams only from compatible total energies and correction\n    schemes. A computed hull is conditional on the supplied entry set.\n11. Keep all database access off by default. Disclose endpoint, filters,\n    fields, result limit, cache behavior, output, license, and citation before\n    an explicit execution step.\n12. Preserve an artifact manifest. Never use pickle or load an untrusted\n    general object graph; use schema-validated JSON and explicit constructors.\n\n## Core objects\n\nUse the public convenience imports:\n\n```python\nfrom pymatgen.core import Composition, Element, Lattice, Molecule, Structure\n\ncomposition = Composition(\"LiFePO4\", strict=True)\niron = Element(\"Fe\")\n\nlattice = Lattice.cubic(5.64)  # Å\nstructure = Structure(\n    lattice,\n    [\"Na\", \"Cl\"],\n    [[0, 0, 0], [0.5, 0.5, 0.5]],\n    coords_are_cartesian=False,\n    validate_proximity=True,\n)\n\nmolecule = Molecule(\n    [\"O\", \"H\", \"H\"],\n    [[0.0, 0.0, 0.0], [0.758, 0.0, 0.504], [-0.758, 0.0, 0.504]],\n    charge=0,\n    spin_multiplicity=1,\n)\n```\n\n`Structure` and `Molecule` are mutable; use `IStructure`\u002F`IMolecule` or an\nexplicit copy when mutation would compromise provenance. See\n[core classes](references\u002Fcore_classes.md).\n\n## Safe local structure intake\n\nPrefer the bundled validator, which captures CIF and Python warnings and\nreports units, occupancy, disorder, oxidation states, periodicity, coordinate\nmode, and minimum distances:\n\n```bash\npython scripts\u002Fcomposition_structure_validator.py composition \"Fe2O3\"\npython scripts\u002Fcomposition_structure_validator.py structure structure.cif\npython scripts\u002Fstructure_analyzer.py structure.cif --symmetry\n```\n\nFor direct CIF work, use the current parser method and inspect both warning\nchannels:\n\n```python\nimport warnings\nfrom pymatgen.io.cif import CifParser\n\nwith warnings.catch_warnings(record=True) as caught:\n    warnings.simplefilter(\"always\")\n    parser = CifParser(\"input.cif\", check_cif=True)\n    structures = parser.parse_structures(\n        primitive=False,\n        check_occu=True,\n        on_error=\"raise\",\n    )\n\nparser_messages = list(parser.warnings)\npython_messages = [str(item.message) for item in caught]\n```\n\nDo not parse untrusted files in a privileged process. A critical malicious-CIF\ncode-execution flaw affected pymatgen through 2024.2.8 and was fixed in\n2024.2.20; the pinned release is newer, but parsers still process attacker\ncontrolled input. Use isolation and CPU\u002FRAM\u002Fdisk\u002Ftime limits.\n\n## Symmetry\n\nSpace-group assignment depends on tolerances and structure quality:\n\n```python\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n\nanalyzer = SpacegroupAnalyzer(\n    structure,\n    symprec=0.01,          # Å\n    angle_tolerance=5.0,   # degrees\n)\nsymbol = analyzer.get_space_group_symbol()\nnumber = analyzer.get_space_group_number()\n```\n\nThe Materials Project pipeline commonly uses `symprec=0.1 Å`, while pymatgen's\ndocumented default is `0.01 Å`; these can produce different assignments.\nGenerate a sensitivity report instead of changing tolerance until a preferred\nanswer appears:\n\n```bash\npython scripts\u002Fsymmetry_sensitivity_report.py structure.cif \\\n  --symprec 0.001,0.01,0.1 --angle-tolerance 1,5\n```\n\nSee [analysis modules](references\u002Fanalysis_modules.md).\n\n## Conversion and parser\u002Fwriter I\u002FO\n\nPlan first; the planner does not open files or import pymatgen:\n\n```bash\npython scripts\u002Fio_conversion_plan.py \\\n  --input input.cif --input-format cif \\\n  --output POSCAR.new --output-format poscar \\\n  --periodic --coordinate-mode direct\n```\n\nThen convert to a new path with explicit loss acknowledgement:\n\n```bash\npython scripts\u002Fstructure_converter.py input.cif POSCAR.new \\\n  --output-format poscar --coordinate-mode direct --allow-lossy \\\n  --acknowledge-parser-warnings\n```\n\nCIF, POSCAR, XYZ, and JSON do not preserve the same semantics. Check lattice,\nperiodicity, coordinate mode, species ordering, selective dynamics, site\nproperties, oxidation states, labels, and disorder after every conversion.\nSee [I\u002FO formats](references\u002Fio_formats.md).\n\n## Transformations and provenance\n\nTransform a copy and preserve history:\n\n```python\nfrom pymatgen.alchemy.materials import TransformedStructure\nfrom pymatgen.transformations.standard_transformations import (\n    SubstitutionTransformation,\n    SupercellTransformation,\n)\n\ntracked = TransformedStructure(structure.copy(), [])\ntracked.append_transformation(SupercellTransformation([2, 2, 2]))\ntracked.append_transformation(SubstitutionTransformation({\"Na\": \"K\"}))\nderived = tracked.final_structure\nhistory = tracked.history\n```\n\nOne-to-many ordering, doping, slab, and magnetic transformations can expand\ncombinatorially or invoke optional executables. Bound candidates, sites,\nsupercell size, runtime, and output count. See\n[transformations and workflows](references\u002Ftransformations_workflows.md).\n\n## Local phase diagrams\n\nThe bundled generator is offline and accepts only a strict JSON schema with\ntotal eV per entry and provenance:\n\n```json\n{\n  \"schema_version\": \"1.0\",\n  \"energy_unit\": \"eV\",\n  \"energy_basis\": \"total_per_entry\",\n  \"provenance\": {\n    \"source\": \"reviewed local calculations\",\n    \"method\": \"one compatible energy\u002Fcorrection scheme\"\n  },\n  \"entries\": [\n    {\n      \"entry_id\": \"local-Li\",\n      \"composition\": \"Li\",\n      \"energy_eV\": -1.0,\n      \"provenance\": {\"source\": \"calculation manifest sha256:...\"}\n    }\n  ]\n}\n```\n\n```bash\npython scripts\u002Fphase_diagram_generator.py entries.json --analyze Li2O\n```\n\nElemental endpoints and all competing phases must be present. Do not mix raw\nenergies from different functionals, pseudopotentials, magnetic states, or\ncorrection conventions. Computed on-hull status is not experimental stability.\n\n## Band structures, DOS, VASP, and Q-Chem\n\nParse only the data needed:\n\n```python\nfrom pymatgen.io.vasp import Vasprun\n\nrun = Vasprun(\n    \"vasprun.xml\",\n    parse_dos=True,\n    parse_eigen=True,\n    parse_projected_eigen=False,\n    parse_potcar_file=False,\n)\nband_structure = run.get_band_structure(line_mode=True)\nband_gap = band_structure.get_band_gap()\ncomplete_dos = run.complete_dos\n```\n\nProjected eigenvalues can require extreme memory. Verify convergence, k-path,\nspin\u002FSOC settings, Fermi-level conventions, smearing, and projection basis\nbefore interpreting gaps or DOS. A parser success is not a converged\ncalculation.\n\nCurrent Q-Chem interfaces are `pymatgen.io.qchem.inputs.QCInput` and\n`pymatgen.io.qchem.outputs.QCOutput`:\n\n```python\nfrom pymatgen.io.qchem.inputs import QCInput\n\njob = QCInput(\n    molecule,\n    rem={\"job_type\": \"sp\", \"method\": \"wb97x-v\", \"basis\": \"def2-svpd\"},\n)\ntext = str(job)\n```\n\nPymatgen writes inputs and parses outputs; it does not grant a VASP or Q-Chem\nlicense or establish method validity. POTCAR files are VASP-licensed and are\nnot distributed by pymatgen. Never redistribute them or scan unrelated\ndirectories for them. Optional tools such as enumlib, Bader, packmol, ffmpeg,\nand Zeo++ are native\u002Fexternal executables: review provenance, licenses, argv,\nworking directory, and resource limits before a separate explicit invocation.\n\n## Materials Project: plan before network\n\nUse only:\n\n```python\nfrom mp_api.client import MPRester\n```\n\nThe client reads `MP_API_KEY` when constructed. Supply only that named\nenvironment variable through the user's shell or secret manager. Do not accept\nthe key as a CLI argument, traverse `.env` files, dump environment variables,\nor print exception data without redaction.\n\nDry-run planning is the default:\n\n```bash\npython scripts\u002Fmp_query.py \\\n  --chemsys Li-Fe-O \\\n  --energy-above-hull 0 0.05 \\\n  --fields formula_pretty,energy_above_hull,band_gap,origins \\\n  --limit 25\n```\n\nOnly `--execute` permits one bounded summary query and requires a new output:\n\n```bash\npython scripts\u002Fmp_query.py \\\n  --material-id mp-149 \\\n  --fields formula_pretty,structure,origins,last_updated \\\n  --limit 1 --output mp-149.json --execute\n```\n\nThe CLI sets `num_chunks=1`, requires explicit fields and filters, caps results,\ndoes not implement an implicit result cache, and never overwrites output.\n`MPRester` initialization also performs compatibility\u002Fheartbeat metadata\nrequests; the plan discloses these, disables the platform-detail user agent and\nlocal database-version notification log, and records the returned database\nversion. The summary workflow does not request full-dataset cache downloads.\n`mp-api` 0.46.4 retries HTTP 429\u002F502\u002F504 according to its own configured policy\nand respects `Retry-After`; do not invent a numeric service quota or add an\nunbounded retry loop.\n\nMaterials Project core values are computed, method-dependent data—not\nexperimental truth. PBE commonly overestimates lattice parameters and\nsystematically underestimates band gaps; aggregated values can change across\ndatabase releases. Preserve retrieval time, query, fields, material\u002Ftask\norigins, database release when available, client versions, CC BY attribution,\nand the canonical plus property-specific citations. See\n[Materials Project API](references\u002Fmaterials_project_api.md).\n\n## Bundled CLIs\n\nAll CLIs have dependency-free `--help`, lazy scientific imports, bounded JSON,\nand no implicit network:\n\n- `scripts\u002Fcomposition_structure_validator.py` — strict composition\u002Fstructure\n  checks; optional oxidation-state guessing is explicit and bounded.\n- `scripts\u002Fstructure_analyzer.py` — bounded lattice, sites, symmetry, distance,\n  and optional CrystalNN report.\n- `scripts\u002Fsymmetry_sensitivity_report.py` — tolerance-grid space groups.\n- `scripts\u002Fio_conversion_plan.py` — dependency-free representation-loss plan.\n- `scripts\u002Fstructure_converter.py` — one-file conversion to a new path.\n- `scripts\u002Fphase_diagram_generator.py` — strict local computed-entry hull.\n- `scripts\u002Fmp_query.py` — dry-run MP query plan and opt-in bounded client.\n- `scripts\u002Fartifact_manifest.py` — checksums, versions, sources, and provenance.\n\nUse:\n\n```bash\npython scripts\u002Fartifact_manifest.py \\\n  --artifact input.cif --artifact analysis.json \\\n  --workflow \"local symmetry sensitivity\" --output manifest.json\n```\n\n## References\n\n- [Core classes](references\u002Fcore_classes.md)\n- [I\u002FO formats, VASP, and Q-Chem](references\u002Fio_formats.md)\n- [Analysis, symmetry, phase diagrams, bands, and DOS](references\u002Fanalysis_modules.md)\n- [Transformations and workflows](references\u002Ftransformations_workflows.md)\n- [Materials Project API, provenance, license, and limits](references\u002Fmaterials_project_api.md)\n\n## Sources (verified 2026-07-23)\n\n- [pymatgen 2026.5.4 on PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpymatgen\u002F)\n- [pymatgen-core 2026.7.16 on PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fpymatgen-core\u002F)\n- [pymatgen API documentation](https:\u002F\u002Fpymatgen.org\u002F)\n- [pymatgen changelog](https:\u002F\u002Fpymatgen.org\u002FCHANGES.html)\n- [mp-api 0.46.4 on PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmp-api\u002F)\n- [Materials Project API getting started](https:\u002F\u002Fdocs.materialsproject.org\u002Fdownloading-data\u002Fusing-the-api\u002Fgetting-started)\n- [Materials Project query guide](https:\u002F\u002Fdocs.materialsproject.org\u002Fdownloading-data\u002Fusing-the-api\u002Fquerying-data)\n- [Materials Project FAQ and computed-data caveats](https:\u002F\u002Fdocs.materialsproject.org\u002Ffrequently-asked-questions)\n- [Materials Project citation page](https:\u002F\u002Fmaterialsproject.org\u002Fabout\u002Fcite)\n- [Official tutorial series endorsed by pymatgen](https:\u002F\u002Fgithub.com\u002Fcomputron\u002Fpymatgen_tutorials)\n\n## Agent operating procedure\n\n1. **Check the environment.** Confirm library versions, units, coordinate systems and data formats (FITS, CIF, HDF5, netCDF).\n2. **Pin down the inputs.** Confirm formats, identifiers and parameters from the data or the user. Ask rather than guess any value that changes the result.\n3. **Run a small version first.** Run on a small grid, region or subset and check physical plausibility.\n4. **Execute the full task** using the instructions and references above.\n5. **Validate the result.** Check units and dimensional consistency, conservation laws or known limits, and numerical convergence.\n6. **Report.** State what was run (versions, commands, parameters), what was checked, and what is still uncertain.\n\n| If this happens | Do this |\n|---|---|\n| Results violate known physical limits | Check units, boundary conditions and solver tolerances before reporting. |\n| A function, flag or endpoint in these instructions is missing in the installed version | Check the installed version's own documentation (`help()`, `--help`, official docs), adapt, and tell the user. Never invent an API. |\n| A required input, identifier or parameter is ambiguous | Ask the user, or state the assumption explicitly before running. |\n\n**Integrity rules**\n\n- Never fabricate results, parameters, identifiers, citations or statistics. If something cannot be run or verified, say so plainly.\n- Report uncertainties and numerical tolerances with every quantitative result.\n- Treat version-specific details here as possibly outdated: confirm them against the official documentation for the installed version.\n- Ask before actions that cost money, consume shared GPUs or cloud quota, touch personal or patient data, or cannot be undone.\n\n## Related skills\n\n- `molfeat`: Converts SMILES strings or RDKit\u002Fdatamol molecules into numerical features using molfeat (0.11.0), which provides calculators, scikit-learn…\n- `protocolsio-integration`: Reads, validates, and exports protocols.io data using the documented REST v3\u002Fv4 endpoints and the official MCP endpoint, and builds non-exe…\n",{"name":5,"license":15,"metadata":59,"description":7,"allowed-tools":65,"compatibility":66},{"tags":60,"version":61,"category":62,"maintainer":63,"last-reviewed":64},"materials science, crystal structures, computational materials, VASP, physics","1.3","physical-sciences","Kalaris Labs","2026-07-23","Read Write Bash Glob Python","Python 3.11+ with uv. The verified snapshot uses pymatgen 2026.5.4, pymatgen-core 2026.7.16, and mp-api 0.46.4. Bundled help and planning CLIs use only the standard library; local scientific execution lazily requires the pinned pymatgen packages. Materials Project access additionally requires explicit network approval and the single named secret MP_API_KEY.","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FKalarisLabs\u002Fresearch-agent-skills\u002Fskills\u002Fpymatgen",490,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-14 02:12:02",{"source":8,"skillName":5,"commands":78,"prompt":88,"zipAvailable":89},[79,82,85],{"tool":80,"command":81},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill pymatgen",{"tool":83,"command":84},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill pymatgen",{"tool":86,"command":87},"pnpm","pnpm dlx skills add 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an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for \u002Fmigrate-to-e2e, \"migrate our tests to e2e\", \"port these Maestro flows\", \"move our TesterArmy tests\", or when a project has an e2e config and an older suite still running.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fmigrate-to-e2e\u002FSKILL.md",[],[],"2026-11-11 15:11:14",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":167,"publishedAt":160},"01M746ZPTAX1Q0FBKAB1CYND7E","e2e","Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fe2e\u002FSKILL.md",[],[],{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":174,"publishedAt":160},"01M746ZJN784HVHMDP9MQGCSGG","create-verification-skill","Generate a project-local verify-\u003Capp> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for \u002Fcreate-verification-skill, \"make a verification skill for this repo\", or when a project has no scripted way to prove UI behavior.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fcreate-verification-skill\u002FSKILL.md",[],[],{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":181,"publishedAt":54},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-search\u002FSKILL.md",[],[182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","when","you","done","reviewer","io","change","cli","merge","past",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":208,"publishedAt":54},"01M716A3J2W5SENSE9VGMXB375","deja-reflect","End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[209,210,211,197,212,213,214,215,216,217,218,219,220,221,187,222,36,223,224,225],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","session","end","reflection",{"skillNo":227,"name":228,"nameZh":6,"description":229,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":230,"categories":231,"keywords":239,"publishedAt":54},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[232,235,238],{"categoryNo":233,"categoryName":234,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":236,"categoryName":237,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[228,240,241,242,243,244,245,36,246,188,247,248,249,250,193,251,252,253,50,254],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","publish"]