[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DAVG6BXRSJS5PX41C8QJRB":3,"skill-same:01M6DAVG6BXRSJS5PX41C8QJRB":67},{"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":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":14,"repositoryHtmlUrl":40,"repositoryHomepageUrl":6,"ownerHtmlUrl":41,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":42,"install":43,"resources":56},"01M6DAVG6BXRSJS5PX41C8QJRB","tooluniverse-plant-genomics",null,"Research plant genes, pathways, and species using PlantReactome, Ensembl Plants, POWO, UniProt, KEGG, and literature tools. Covers plant pathway analysis, gene function annotation, species identification, crop genomics, and comparative plant biology. Use when asked about plant genes, Arabidopsis, crop improvement, plant pathways, plant metabolism, photosynthesis, plant development, or plant species identification.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-plant-genomics\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31],"genomics","tooluniverse plant genomics","research","development","Tools","analysis","use","metabolism","2026-11-10 10:12:30",false,"---\nname: tooluniverse-plant-genomics\ndescription: Research plant genes, pathways, and species using PlantReactome, Ensembl Plants, POWO, UniProt, KEGG, and literature tools. Covers plant pathway analysis, gene function annotation, species identification, crop genomics, and comparative plant biology. Use when asked about plant genes, Arabidopsis, crop improvement, plant pathways, plant metabolism, photosynthesis, plant development, or plant species identification.\n---\n\n# Plant Genomics & Biology\n\nPipeline for investigating plant genes, metabolic pathways, species taxonomy, and comparative plant biology using ToolUniverse tools.\n\n## Reasoning Strategy\n\nPlant genomes are large (wheat is ~17 Gb, vs. 3 Gb for human) and often polyploid — wheat is hexaploid (AABBDD), meaning there are three homeologous copies of most genes. When comparing plant genes to Arabidopsis, always account for whole-genome duplications: a single Arabidopsis gene may have 2–4 paralogs in a crop species, all potentially with diverged functions. Gene families are massively expanded in plants relative to animals (e.g., receptor-like kinases, cytochrome P450s, transcription factors) — a BLAST hit does not mean functional equivalence. Arabidopsis thaliana is the primary model, but its small genome and rapid life cycle mean some features (wood formation, nitrogen fixation symbiosis, C4 photosynthesis) are absent and must be studied in other species.\n\n**LOOK UP DON'T GUESS**: Do not assume gene function by sequence similarity alone in polyploid species; look up functional validation evidence via UniProt (reviewed entries) or PlantReactome. Do not assume KEGG organism codes — use the table or query `kegg_search_pathway` with the species name to confirm availability.\n\n**Key principles**:\n1. **Plant-specific pathways** — photosynthesis, secondary metabolism, hormone signaling are unique to plants\n2. **PlantReactome as foundation** — curated plant pathway database with cross-species coverage (Oryza, Arabidopsis, Zea mays, etc.)\n3. **Ensembl Plants for genomics** — use Ensembl with plant species names for gene lookup and annotation\n4. **KEGG for metabolism** — KEGG has plant-specific organism codes (ath=Arabidopsis, osa=rice, zma=maize)\n5. **Evidence grading** — T1: functional validation (mutant phenotype), T2: expression\u002Flocalization data, T3: ortholog-based prediction, T4: computational annotation only\n\n---\n\n## When to Use\n\n- \"What pathway is [plant gene] involved in?\"\n- \"Find genes in the flavonoid biosynthesis pathway\"\n- \"Compare [gene] across Arabidopsis and rice\"\n- \"What species is [plant name]?\"\n- \"Plant hormone signaling pathways\"\n- \"Photosynthesis gene annotation\"\n\n**Not this skill**: For general pathway analysis (human\u002Fmouse), use `tooluniverse-systems-biology`. For phylogenetics, use `tooluniverse-phylogenetics`.\n\n---\n\n## Core Tools\n\n| Tool | Use For |\n|------|---------|\n| `PlantReactome_search_pathways` | Search plant-specific pathways by keyword |\n| `PlantReactome_get_pathway` | Get pathway details (genes, reactions, species) |\n| `PlantReactome_list_species` | List all species covered by PlantReactome |\n| `POWO_search_plants` | Search Plants of the World Online (taxonomy, distribution) |\n| `ensembl_lookup_gene` | Gene lookup — use with plant species (e.g., `species=\"arabidopsis_thaliana\"`) |\n| `kegg_search_pathway` | Search KEGG pathways (use plant organism codes: ath, osa, zma) |\n| `KEGG_get_pathway_genes` | Get genes in a plant pathway (e.g., `pathway_id=\"ath00941\"` for flavonoid in Arabidopsis) |\n| `UniProt_search` | Search plant protein sequences (add `taxonomy_id:3702` for Arabidopsis) |\n| `UniProt_get_function_by_accession` | Get protein function annotation |\n| `PubMed_search_articles` | Plant biology literature |\n| `EnsemblCompara_get_orthologues` | Cross-species plant gene comparison |\n\n---\n\n## Workflow\n\n```\nPhase 0: Species & Gene Identification\n  Species name → POWO taxonomy; Gene symbol → Ensembl\u002FUniProt IDs\n    |\nPhase 1: Gene Function & Annotation\n  UniProt function, Ensembl annotation, InterPro domains\n    |\nPhase 2: Pathway Analysis\n  PlantReactome → plant-specific pathways; KEGG → metabolism\n    |\nPhase 3: Cross-Species Comparison\n  Ensembl Compara → orthologs in other plant species\n    |\nPhase 4: Literature & Report\n  PubMed → published studies; synthesis\n```\n\n### Phase 1: Gene Function\n\n```python\n# Look up an Arabidopsis gene\nensembl_lookup_gene(gene_symbol=\"CHS\", species=\"arabidopsis_thaliana\")\n# Get protein function\nUniProt_search(query=\"CHS AND taxonomy_id:3702 AND reviewed:true\")\n```\n\n### Phase 2: Plant Pathway Analysis\n\n**Key plant-specific KEGG pathways**:\n\n| Pathway | KEGG ID (Arabidopsis) | Biological Significance |\n|---------|----------------------|------------------------|\n| Photosynthesis | ath00195 | Light reactions, electron transport |\n| Carbon fixation (Calvin cycle) | ath00710 | CO2 → sugar |\n| Flavonoid biosynthesis | ath00941 | UV protection, pigmentation, defense |\n| Carotenoid biosynthesis | ath00906 | Photoprotection, vitamin A precursors |\n| Auxin signaling | ath04075 | Growth, tropisms |\n| Brassinosteroid signaling | ath04712 | Cell elongation, stress response |\n| Circadian rhythm (plant) | ath04712 | Photoperiod, flowering time |\n| Terpenoid backbone | ath00900 | Secondary metabolite precursors |\n| Starch\u002Fsucrose metabolism | ath00500 | Carbon partitioning |\n| Nitrogen metabolism | ath00910 | Nitrogen assimilation |\n\n```python\n# Search PlantReactome for flavonoid pathway\nPlantReactome_search_pathways(query=\"flavonoid\")\n# Get genes in Arabidopsis flavonoid biosynthesis\nKEGG_get_pathway_genes(pathway_id=\"ath00941\")\n```\n\n### Phase 3: Species Comparison\n\n**KEGG organism codes for major crops**:\n\n| Species | Code | Common Name |\n|---------|------|-------------|\n| Arabidopsis thaliana | ath | Thale cress (model plant) |\n| Oryza sativa | osa | Rice |\n| Zea mays | zma | Maize\u002Fcorn |\n| Triticum aestivum | tae | Wheat |\n| Glycine max | gmx | Soybean |\n| Solanum lycopersicum | sly | Tomato |\n| Nicotiana tabacum | nta | Tobacco |\n| Medicago truncatula | mtr | Barrel medic (legume model) |\n\n### Phase 4: Interpretation Framework\n\n**Evidence grading**: T1 = mutant phenotype confirms function; T2 = expression\u002Flocalization data; T3 = ortholog has validated function in model species; T4 = computational annotation only (domain\u002FGO term). Prioritize T1\u002FT2 evidence; treat T3\u002FT4 as hypotheses requiring further validation.\n\n### Synthesis Questions\n\n1. **Is the gene plant-specific or conserved?** (Plant-specific genes often in secondary metabolism; conserved genes in primary metabolism)\n2. **Which tissues\u002Fdevelopmental stages express it?** (Root vs shoot vs flower vs seed)\n3. **Is there a crop improvement application?** (Yield, stress tolerance, nutritional quality)\n4. **What regulatory mechanisms control it?** (Hormone-responsive, light-regulated, circadian)\n5. **Are there natural variants with known phenotypes?** (Accession diversity in Arabidopsis 1001 Genomes)\n\n---\n\n## Limitations\n\n- **No TAIR tool** — The Arabidopsis Information Resource has no public REST API. Use Ensembl Plants and UniProt as alternatives for Arabidopsis gene data.\n- **PlantReactome coverage** — Focused on Oryza sativa (rice) with cross-references to Arabidopsis. Not all plant species equally covered.\n- **No crop breeding tools** — This skill covers gene\u002Fpathway analysis, not marker-assisted selection or breeding simulation.\n- **POWO is taxonomy-focused** — Plants of the World Online provides species identification and distribution, not genomics data.\n","# Plant Genomics & Biology\n\nPipeline for investigating plant genes, metabolic pathways, species taxonomy, and comparative plant biology using ToolUniverse tools.\n\n## Reasoning Strategy\n\nPlant genomes are large (wheat is ~17 Gb, vs. 3 Gb for human) and often polyploid — wheat is hexaploid (AABBDD), meaning there are three homeologous copies of most genes. When comparing plant genes to Arabidopsis, always account for whole-genome duplications: a single Arabidopsis gene may have 2–4 paralogs in a crop species, all potentially with diverged functions. Gene families are massively expanded in plants relative to animals (e.g., receptor-like kinases, cytochrome P450s, transcription factors) — a BLAST hit does not mean functional equivalence. Arabidopsis thaliana is the primary model, but its small genome and rapid life cycle mean some features (wood formation, nitrogen fixation symbiosis, C4 photosynthesis) are absent and must be studied in other species.\n\n**LOOK UP DON'T GUESS**: Do not assume gene function by sequence similarity alone in polyploid species; look up functional validation evidence via UniProt (reviewed entries) or PlantReactome. Do not assume KEGG organism codes — use the table or query `kegg_search_pathway` with the species name to confirm availability.\n\n**Key principles**:\n1. **Plant-specific pathways** — photosynthesis, secondary metabolism, hormone signaling are unique to plants\n2. **PlantReactome as foundation** — curated plant pathway database with cross-species coverage (Oryza, Arabidopsis, Zea mays, etc.)\n3. **Ensembl Plants for genomics** — use Ensembl with plant species names for gene lookup and annotation\n4. **KEGG for metabolism** — KEGG has plant-specific organism codes (ath=Arabidopsis, osa=rice, zma=maize)\n5. **Evidence grading** — T1: functional validation (mutant phenotype), T2: expression\u002Flocalization data, T3: ortholog-based prediction, T4: computational annotation only\n\n---\n\n## When to Use\n\n- \"What pathway is [plant gene] involved in?\"\n- \"Find genes in the flavonoid biosynthesis pathway\"\n- \"Compare [gene] across Arabidopsis and rice\"\n- \"What species is [plant name]?\"\n- \"Plant hormone signaling pathways\"\n- \"Photosynthesis gene annotation\"\n\n**Not this skill**: For general pathway analysis (human\u002Fmouse), use `tooluniverse-systems-biology`. For phylogenetics, use `tooluniverse-phylogenetics`.\n\n---\n\n## Core Tools\n\n| Tool | Use For |\n|------|---------|\n| `PlantReactome_search_pathways` | Search plant-specific pathways by keyword |\n| `PlantReactome_get_pathway` | Get pathway details (genes, reactions, species) |\n| `PlantReactome_list_species` | List all species covered by PlantReactome |\n| `POWO_search_plants` | Search Plants of the World Online (taxonomy, distribution) |\n| `ensembl_lookup_gene` | Gene lookup — use with plant species (e.g., `species=\"arabidopsis_thaliana\"`) |\n| `kegg_search_pathway` | Search KEGG pathways (use plant organism codes: ath, osa, zma) |\n| `KEGG_get_pathway_genes` | Get genes in a plant pathway (e.g., `pathway_id=\"ath00941\"` for flavonoid in Arabidopsis) |\n| `UniProt_search` | Search plant protein sequences (add `taxonomy_id:3702` for Arabidopsis) |\n| `UniProt_get_function_by_accession` | Get protein function annotation |\n| `PubMed_search_articles` | Plant biology literature |\n| `EnsemblCompara_get_orthologues` | Cross-species plant gene comparison |\n\n---\n\n## Workflow\n\n```\nPhase 0: Species & Gene Identification\n  Species name → POWO taxonomy; Gene symbol → Ensembl\u002FUniProt IDs\n    |\nPhase 1: Gene Function & Annotation\n  UniProt function, Ensembl annotation, InterPro domains\n    |\nPhase 2: Pathway Analysis\n  PlantReactome → plant-specific pathways; KEGG → metabolism\n    |\nPhase 3: Cross-Species Comparison\n  Ensembl Compara → orthologs in other plant species\n    |\nPhase 4: Literature & Report\n  PubMed → published studies; synthesis\n```\n\n### Phase 1: Gene Function\n\n```python\n# Look up an Arabidopsis gene\nensembl_lookup_gene(gene_symbol=\"CHS\", species=\"arabidopsis_thaliana\")\n# Get protein function\nUniProt_search(query=\"CHS AND taxonomy_id:3702 AND reviewed:true\")\n```\n\n### Phase 2: Plant Pathway Analysis\n\n**Key plant-specific KEGG pathways**:\n\n| Pathway | KEGG ID (Arabidopsis) | Biological Significance |\n|---------|----------------------|------------------------|\n| Photosynthesis | ath00195 | Light reactions, electron transport |\n| Carbon fixation (Calvin cycle) | ath00710 | CO2 → sugar |\n| Flavonoid biosynthesis | ath00941 | UV protection, pigmentation, defense |\n| Carotenoid biosynthesis | ath00906 | Photoprotection, vitamin A precursors |\n| Auxin signaling | ath04075 | Growth, tropisms |\n| Brassinosteroid signaling | ath04712 | Cell elongation, stress response |\n| Circadian rhythm (plant) | ath04712 | Photoperiod, flowering time |\n| Terpenoid backbone | ath00900 | Secondary metabolite precursors |\n| Starch\u002Fsucrose metabolism | ath00500 | Carbon partitioning |\n| Nitrogen metabolism | ath00910 | Nitrogen assimilation |\n\n```python\n# Search PlantReactome for flavonoid pathway\nPlantReactome_search_pathways(query=\"flavonoid\")\n# Get genes in Arabidopsis flavonoid biosynthesis\nKEGG_get_pathway_genes(pathway_id=\"ath00941\")\n```\n\n### Phase 3: Species Comparison\n\n**KEGG organism codes for major crops**:\n\n| Species | Code | Common Name |\n|---------|------|-------------|\n| Arabidopsis thaliana | ath | Thale cress (model plant) |\n| Oryza sativa | osa | Rice |\n| Zea mays | zma | Maize\u002Fcorn |\n| Triticum aestivum | tae | Wheat |\n| Glycine max | gmx | Soybean |\n| Solanum lycopersicum | sly | Tomato |\n| Nicotiana tabacum | nta | Tobacco |\n| Medicago truncatula | mtr | Barrel medic (legume model) |\n\n### Phase 4: Interpretation Framework\n\n**Evidence grading**: T1 = mutant phenotype confirms function; T2 = expression\u002Flocalization data; T3 = ortholog has validated function in model species; T4 = computational annotation only (domain\u002FGO term). Prioritize T1\u002FT2 evidence; treat T3\u002FT4 as hypotheses requiring further validation.\n\n### Synthesis Questions\n\n1. **Is the gene plant-specific or conserved?** (Plant-specific genes often in secondary metabolism; conserved genes in primary metabolism)\n2. **Which tissues\u002Fdevelopmental stages express it?** (Root vs shoot vs flower vs seed)\n3. **Is there a crop improvement application?** (Yield, stress tolerance, nutritional quality)\n4. **What regulatory mechanisms control it?** (Hormone-responsive, light-regulated, circadian)\n5. **Are there natural variants with known phenotypes?** (Accession diversity in Arabidopsis 1001 Genomes)\n\n---\n\n## Limitations\n\n- **No TAIR tool** — The Arabidopsis Information Resource has no public REST API. Use Ensembl Plants and UniProt as alternatives for Arabidopsis gene data.\n- **PlantReactome coverage** — Focused on Oryza sativa (rice) with cross-references to Arabidopsis. Not all plant species equally covered.\n- **No crop breeding tools** — This skill covers gene\u002Fpathway analysis, not marker-assisted selection or breeding simulation.\n- **POWO is taxonomy-focused** — Plants of the World Online provides species identification and distribution, not genomics data.\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Flibrary\u002Fskills\u002Ftooluniverse-plant-genomics","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":44,"prompt":54,"zipAvailable":55},[45,48,51],{"tool":46,"command":47},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill tooluniverse-plant-genomics",{"tool":49,"command":50},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill tooluniverse-plant-genomics",{"tool":52,"command":53},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill tooluniverse-plant-genomics","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-plant-genomics\u002FSKILL.md",true,[57,63],{"path":58,"resourceType":59,"resourceTypeDesc":60,"sizeBytes":61,"sourceHtmlUrl":62},"metadata.json","REFERENCE","参考文档",661,"https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002FCopia de angular-state-management\u002Fmetadata.json",{"path":64,"resourceType":59,"resourceTypeDesc":60,"sizeBytes":65,"sourceHtmlUrl":66},"README.md",1433,"https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002FCopia de angular-state-management\u002FREADME.md",[68,89,118,145,159,174],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":74,"publishedAt":32},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[75,76,77,78,79,80,81,82,83,30,84,85,86,87,88],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":98,"publishedAt":32},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[95],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[99,100,101,102,103,104,105,106,107,108,109,110,111,112,30,113,114,115,116,117],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":130,"publishedAt":32},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[124,127],{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":128,"categoryName":129,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[131,132,133,134,135,136,137,138,139,140,100,141,142,143,144],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":32},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[147,152,153,154,155,156,157,158],"setup","report","project","installation","project setup","issues","state",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":166,"publishedAt":32},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[165],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},[161,167,80,168,169,170,30,171,172,173,27],"start issue","issue","ready","work on issue","user","work","work on",{"skillNo":175,"name":152,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":32},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[152,154,115,180,156,181],"files","interactive"]