[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6QF96FSBR1D45GF8H4AX9BR":3,"skill-same:01M6QF96FSBR1D45GF8H4AX9BR":99},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":14,"repositoryHtmlUrl":63,"repositoryHomepageUrl":64,"ownerHtmlUrl":65,"ownerBlogUrl":66,"ownerDescription":67,"updatedAt":68,"install":69,"resources":82},"01M6QF96FSBR1D45GF8H4AX9BR","ncats-arax",null,"Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.","Tashima-Tarsh\u002FDisha6.6","Tashima-Tarsh","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F269906498?v=4","01M6PBH98X03XERH0HFT4PFB1P","NITISH KUMAR","01M6PBH9DA0M6KM3Z12P848F0K",0,"MIT","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-ncats-arax\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"ncats arax","databases","pathfinding","scientific","ranking","submit","io","patient","clinical","outbound","knowledge graph","only","never","translator","access","knowledge","Bash","open","api","knowledge-graph","2026-11-10 10:12:30",false,"---\nname: ncats-arax\ndescription: Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.\nlicense: MIT\ncompatibility: Requires Python 3.10+ and outbound HTTPS access to arax.transltr.io. The client uses only the Python standard library and needs no API key. Queries and caller metadata may be publicly visible; never submit sensitive or patient-specific content.\nallowed-tools: Read Bash\nmetadata:\n  version: '1.0'\n  category: scientific-databases\n  maintainer: Kalaris Labs\n  contributor: neuroepithelial\n  tags: biomedical knowledge graph, NCATS Translator, drug repurposing, biomedical research\n---\n\n# NCATS ARAX\n\nUse ARAX as a constrained knowledge-graph lookup service. Submit reviewed CURIEs and explicit\nBiolink types, preserve the exact TRAPI exchange, inspect query-edge bindings and provenance, and\ntreat every returned path as a candidate for subsequent verification.\n\nRead [query-contract.md](references\u002Fquery-contract.md) before constructing a query. Read\n[output-schema.md](references\u002Foutput-schema.md) when interpreting saved artifacts, warnings,\nprovenance, or partial results.\n\n## Safety boundary\n\n- Use only public, nonsensitive research questions. ARAX status facilities may expose query and\n  caller metadata even when `store=false` is requested.\n- Do not submit patient information, confidential research questions, unpublished compound\n  programs, or proprietary target hypotheses.\n- Do not present a returned path as a validated mechanism or clinical recommendation.\n- Report a zero as \"not returned under these constraints,\" never as evidence that no relationship\n  exists.\n- Describe position as unscored response order, never rank.\n- Verify important candidates with literature and authoritative databases separately.\n\n## Workflow\n\n1. Normalize free text separately, then review and report the proposed CURIE and category.\n2. Choose a typed one-hop query or an exactly two-hop query with both endpoints pinned.\n3. Use default RTX-KG2 lookup unless the user explicitly names two to five providers.\n4. Acknowledge that the biomedical query is public and choose a new or empty output directory.\n5. Run the client once. Do not silently change provider selection or expansion order after a\n   failure or empty result.\n6. Inspect `summary.json` for bounded bindings and provenance and `response.json` for the exact\n   TRAPI payload.\n7. Verify scientifically important paths outside ARAX.\n\n## Preflight\n\nCheck the production OpenAPI without making a biomedical query:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py preflight\n```\n\nThe client verifies that the service identifies itself as ARAX, exposes `\u002Fquery`, and reports a\nsupported TRAPI version. A nonproduction endpoint or untested TRAPI series requires an explicit\noverride; neither override changes the fixed query shapes or operations.\n\n## Normalize an entity\n\nNormalization is review-only and never triggers a graph query:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py normalize \"primary myelofibrosis\" \\\n  --expected-category biolink:Disease \\\n  --max-synonyms 10 \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Fnormalize-myelofibrosis\n```\n\nReview the canonical identifier, name, category, and synonym preview before using a CURIE. Report\nall CURIEs and categories regardless of query outcome. A category warning or zero result is a\nreason to curate the identifier, not to chain automatically to `\u002Fquery`.\n\n## One-hop lookup\n\nPin at least one endpoint and type both nodes:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py one-hop \\\n  --subject-id CHEBI:31690 \\\n  --subject-category biolink:SmallMolecule \\\n  --predicate biolink:affects \\\n  --object-id NCBIGene:25 \\\n  --object-category biolink:Gene \\\n  --qualifier biolink:object_aspect_qualifier=activity_or_abundance \\\n  --qualifier biolink:object_direction_qualifier=decreased \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Fimatinib-abl1\n```\n\nLookup mode is the default and fixes expansion to `infores:rtx-kg2`. It defaults to 20 results.\nUse `--result-limit N` to request 1-50 results; 50 is the hard cap in either mode.\n\n## Endpoint-pinned two-hop lookup\n\nUse exactly one typed, unpinned intermediate node:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py two-hop \\\n  --subject-id CHEBI:66901 \\\n  --subject-category biolink:SmallMolecule \\\n  --predicate-1 biolink:affects \\\n  --intermediate-category biolink:Gene \\\n  --predicate-2 biolink:associated_with \\\n  --object-id MONDO:0009061 \\\n  --object-category biolink:Disease \\\n  --qualifier-1 biolink:object_aspect_qualifier=activity_or_abundance \\\n  --qualifier-1 biolink:object_direction_qualifier=increased \\\n  --expand-order right-first \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Fivacaftor-cystic-fibrosis\n```\n\nRight-first expansion is the default. If an empty result merits another attempt, run a new query\nexplicitly with `--expand-order left-first` and keep the runs separate.\n\n## Selected-provider federation\n\nFederation is explicit and accepts two to five named providers:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py one-hop \\\n  --subject-id CHEBI:31690 \\\n  --subject-category biolink:SmallMolecule \\\n  --predicate biolink:affects \\\n  --object-id NCBIGene:25 \\\n  --object-category biolink:Gene \\\n  --mode federated \\\n  --kp infores:rtx-kg2 \\\n  --kp infores:molepro \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Ffederated-imatinib-abl1\n```\n\nFederation defaults to the hard maximum of 50 results. Provider errors may coexist with useful\nresults; such a run exits 7 after retaining its artifacts and is marked partial.\n\n## Inspect saved provenance\n\nRebuild a bounded summary without network access:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py summarize \\\n  --request outputs\u002Fivacaftor-cystic-fibrosis\u002Frequest.json \\\n  --response outputs\u002Fivacaftor-cystic-fibrosis\u002Fresponse.json \\\n  --format text\n```\n\nThe inspector accepts only the same constrained request shapes and fixed operations that the live\ncommands generate. Use `--format json` for the normalized view on standard output.\n\n## Interpret results\n\n- Follow each analysis's query-edge bindings; do not summarize every knowledge-graph edge.\n- Preserve the physical edge subject, predicate, object, and qualifier values returned by ARAX.\n  Returned predicates or qualifier aspects may be more specific than the query constraint.\n- Inspect all source objects, including primary, aggregator, supporting-data, upstream-resource,\n  and source-record URL fields.\n- Treat `publication_availability: not_returned` as missing metadata, not evidence that no\n  publications exist.\n- Treat missing auxiliary-graph references and provider failures as explicit warnings.\n- Consult the raw response whenever the bounded summary omits detail or the service response is\n  partial, unfamiliar, or scientifically surprising.\n\n## Deliberate exclusions\n\nThe client has no raw-query, workflow, operation, overlay, ranking, inference, link-prediction,\nPathfinder, ARS, batch, all-provider, three-hop, cache, daemon, SDK, MCP, or\nnatural-language-to-TRAPI surface. Do not work around those limits with direct HTTP calls under\nthis skill.\n\n## Official references\n\n- [ARAX documentation](https:\u002F\u002Fncatstranslator.github.io\u002FTranslatorTechnicalDocumentation\u002Farchitecture\u002Fara\u002Farax\u002F)\n- [ARAX production OpenAPI](https:\u002F\u002Farax.transltr.io\u002Fapi\u002Farax\u002Fv1.4\u002Fopenapi.json)\n- [ARAXi operation documentation](https:\u002F\u002Fgithub.com\u002FRTXteam\u002FRTX\u002Fblob\u002Fmaster\u002Fcode\u002FARAX\u002FDocumentation\u002FDSL_Documentation.md)\n- [Translator Reasoner API](https:\u002F\u002Fgithub.com\u002FNCATSTranslator\u002FReasonerAPI)\n- [Biolink Model](https:\u002F\u002Fbiolink.github.io\u002Fbiolink-model\u002F)\n\n## Agent operating procedure\n\n1. **Check the environment.** Confirm network access, API keys (if required) and the database's current API documentation and rate limits.\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.** Fetch a single known record and check the response format before bulk queries.\n4. **Execute the full task** using the instructions and references above.\n5. **Validate the result.** Identifiers resolve, record counts are reported, and the database version or access date is recorded.\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| HTTP 429 or 5xx errors | Respect rate limits with backoff, batch requests, and report partial results honestly. |\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- Never invent accession numbers, IDs or records; report 'not found' instead.\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","# NCATS ARAX\n\nUse ARAX as a constrained knowledge-graph lookup service. Submit reviewed CURIEs and explicit\nBiolink types, preserve the exact TRAPI exchange, inspect query-edge bindings and provenance, and\ntreat every returned path as a candidate for subsequent verification.\n\nRead [query-contract.md](references\u002Fquery-contract.md) before constructing a query. Read\n[output-schema.md](references\u002Foutput-schema.md) when interpreting saved artifacts, warnings,\nprovenance, or partial results.\n\n## Safety boundary\n\n- Use only public, nonsensitive research questions. ARAX status facilities may expose query and\n  caller metadata even when `store=false` is requested.\n- Do not submit patient information, confidential research questions, unpublished compound\n  programs, or proprietary target hypotheses.\n- Do not present a returned path as a validated mechanism or clinical recommendation.\n- Report a zero as \"not returned under these constraints,\" never as evidence that no relationship\n  exists.\n- Describe position as unscored response order, never rank.\n- Verify important candidates with literature and authoritative databases separately.\n\n## Workflow\n\n1. Normalize free text separately, then review and report the proposed CURIE and category.\n2. Choose a typed one-hop query or an exactly two-hop query with both endpoints pinned.\n3. Use default RTX-KG2 lookup unless the user explicitly names two to five providers.\n4. Acknowledge that the biomedical query is public and choose a new or empty output directory.\n5. Run the client once. Do not silently change provider selection or expansion order after a\n   failure or empty result.\n6. Inspect `summary.json` for bounded bindings and provenance and `response.json` for the exact\n   TRAPI payload.\n7. Verify scientifically important paths outside ARAX.\n\n## Preflight\n\nCheck the production OpenAPI without making a biomedical query:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py preflight\n```\n\nThe client verifies that the service identifies itself as ARAX, exposes `\u002Fquery`, and reports a\nsupported TRAPI version. A nonproduction endpoint or untested TRAPI series requires an explicit\noverride; neither override changes the fixed query shapes or operations.\n\n## Normalize an entity\n\nNormalization is review-only and never triggers a graph query:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py normalize \"primary myelofibrosis\" \\\n  --expected-category biolink:Disease \\\n  --max-synonyms 10 \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Fnormalize-myelofibrosis\n```\n\nReview the canonical identifier, name, category, and synonym preview before using a CURIE. Report\nall CURIEs and categories regardless of query outcome. A category warning or zero result is a\nreason to curate the identifier, not to chain automatically to `\u002Fquery`.\n\n## One-hop lookup\n\nPin at least one endpoint and type both nodes:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py one-hop \\\n  --subject-id CHEBI:31690 \\\n  --subject-category biolink:SmallMolecule \\\n  --predicate biolink:affects \\\n  --object-id NCBIGene:25 \\\n  --object-category biolink:Gene \\\n  --qualifier biolink:object_aspect_qualifier=activity_or_abundance \\\n  --qualifier biolink:object_direction_qualifier=decreased \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Fimatinib-abl1\n```\n\nLookup mode is the default and fixes expansion to `infores:rtx-kg2`. It defaults to 20 results.\nUse `--result-limit N` to request 1-50 results; 50 is the hard cap in either mode.\n\n## Endpoint-pinned two-hop lookup\n\nUse exactly one typed, unpinned intermediate node:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py two-hop \\\n  --subject-id CHEBI:66901 \\\n  --subject-category biolink:SmallMolecule \\\n  --predicate-1 biolink:affects \\\n  --intermediate-category biolink:Gene \\\n  --predicate-2 biolink:associated_with \\\n  --object-id MONDO:0009061 \\\n  --object-category biolink:Disease \\\n  --qualifier-1 biolink:object_aspect_qualifier=activity_or_abundance \\\n  --qualifier-1 biolink:object_direction_qualifier=increased \\\n  --expand-order right-first \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Fivacaftor-cystic-fibrosis\n```\n\nRight-first expansion is the default. If an empty result merits another attempt, run a new query\nexplicitly with `--expand-order left-first` and keep the runs separate.\n\n## Selected-provider federation\n\nFederation is explicit and accepts two to five named providers:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py one-hop \\\n  --subject-id CHEBI:31690 \\\n  --subject-category biolink:SmallMolecule \\\n  --predicate biolink:affects \\\n  --object-id NCBIGene:25 \\\n  --object-category biolink:Gene \\\n  --mode federated \\\n  --kp infores:rtx-kg2 \\\n  --kp infores:molepro \\\n  --acknowledge-public-query \\\n  --output-dir outputs\u002Ffederated-imatinib-abl1\n```\n\nFederation defaults to the hard maximum of 50 results. Provider errors may coexist with useful\nresults; such a run exits 7 after retaining its artifacts and is marked partial.\n\n## Inspect saved provenance\n\nRebuild a bounded summary without network access:\n\n```bash\npython skills\u002Fncats-arax\u002Fscripts\u002Farax_client.py summarize \\\n  --request outputs\u002Fivacaftor-cystic-fibrosis\u002Frequest.json \\\n  --response outputs\u002Fivacaftor-cystic-fibrosis\u002Fresponse.json \\\n  --format text\n```\n\nThe inspector accepts only the same constrained request shapes and fixed operations that the live\ncommands generate. Use `--format json` for the normalized view on standard output.\n\n## Interpret results\n\n- Follow each analysis's query-edge bindings; do not summarize every knowledge-graph edge.\n- Preserve the physical edge subject, predicate, object, and qualifier values returned by ARAX.\n  Returned predicates or qualifier aspects may be more specific than the query constraint.\n- Inspect all source objects, including primary, aggregator, supporting-data, upstream-resource,\n  and source-record URL fields.\n- Treat `publication_availability: not_returned` as missing metadata, not evidence that no\n  publications exist.\n- Treat missing auxiliary-graph references and provider failures as explicit warnings.\n- Consult the raw response whenever the bounded summary omits detail or the service response is\n  partial, unfamiliar, or scientifically surprising.\n\n## Deliberate exclusions\n\nThe client has no raw-query, workflow, operation, overlay, ranking, inference, link-prediction,\nPathfinder, ARS, batch, all-provider, three-hop, cache, daemon, SDK, MCP, or\nnatural-language-to-TRAPI surface. Do not work around those limits with direct HTTP calls under\nthis skill.\n\n## Official references\n\n- [ARAX documentation](https:\u002F\u002Fncatstranslator.github.io\u002FTranslatorTechnicalDocumentation\u002Farchitecture\u002Fara\u002Farax\u002F)\n- [ARAX production OpenAPI](https:\u002F\u002Farax.transltr.io\u002Fapi\u002Farax\u002Fv1.4\u002Fopenapi.json)\n- [ARAXi operation documentation](https:\u002F\u002Fgithub.com\u002FRTXteam\u002FRTX\u002Fblob\u002Fmaster\u002Fcode\u002FARAX\u002FDocumentation\u002FDSL_Documentation.md)\n- [Translator Reasoner API](https:\u002F\u002Fgithub.com\u002FNCATSTranslator\u002FReasonerAPI)\n- [Biolink Model](https:\u002F\u002Fbiolink.github.io\u002Fbiolink-model\u002F)\n\n## Agent operating procedure\n\n1. **Check the environment.** Confirm network access, API keys (if required) and the database's current API documentation and rate limits.\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.** Fetch a single known record and check the response format before bulk queries.\n4. **Execute the full task** using the instructions and references above.\n5. **Validate the result.** Identifiers resolve, record counts are reported, and the database version or access date is recorded.\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| HTTP 429 or 5xx errors | Respect rate limits with backoff, batch requests, and report partial results honestly. |\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- Never invent accession numbers, IDs or records; report 'not found' instead.\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",{"name":5,"license":15,"metadata":52,"description":7,"allowed-tools":58,"compatibility":59},{"tags":53,"version":54,"category":55,"maintainer":56,"contributor":57},"biomedical knowledge graph, NCATS Translator, drug repurposing, biomedical research","1.0","scientific-databases","Kalaris Labs","neuroepithelial","Read Bash","Requires Python 3.10+ and outbound HTTPS access to arax.transltr.io. The client uses only the Python standard library and needs no API key. Queries and caller metadata may be publicly visible; never submit sensitive or patient-specific content.","main","0da4485785ee599388900be50db1635489d53056",".agents\u002Fskills\u002Fkal-ncats-arax","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6","https:\u002F\u002Fdisha6.6.thenitishkr.in\u002F","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh","www.thenitishkr","thenitishkr | AI • Cyber-security • Research\r\n","2026-11-08 03:33:25",{"source":8,"skillName":5,"commands":70,"prompt":80,"zipAvailable":81},[71,74,77],{"tool":72,"command":73},"npx","npx skills add Tashima-Tarsh\u002FDisha6.6 --skill ncats-arax",{"tool":75,"command":76},"bunx","bunx skills add Tashima-Tarsh\u002FDisha6.6 --skill ncats-arax",{"tool":78,"command":79},"pnpm","pnpm dlx skills add Tashima-Tarsh\u002FDisha6.6 --skill ncats-arax","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-ncats-arax\u002FSKILL.md",true,[83,89,93],{"path":84,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":87,"sourceHtmlUrl":88},"references\u002Foutput-schema.md","REFERENCE","参考文档",7268,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-ncats-arax\u002Freferences\u002Foutput-schema.md",{"path":90,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":91,"sourceHtmlUrl":92},"references\u002Fquery-contract.md",5349,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-ncats-arax\u002Freferences\u002Fquery-contract.md",{"path":94,"resourceType":95,"resourceTypeDesc":96,"sizeBytes":97,"sourceHtmlUrl":98},"scripts\u002Farax_client.py","SCRIPT","脚本",84552,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-ncats-arax\u002Fscripts\u002Farax_client.py",[100,130,155,182,207,231],{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":109,"publishedAt":47},"01M6QRD07D4TGNDK6VJ4EHF8BV","youtube-full","Use when the user needs YouTube transcripts, video search, channel browsing, playlist extraction, or content monitoring. Trigger phrases: 'get the transcript for', 'search YouTube for', 'what are the latest videos on', 'list this playlist', 'monitor this channel', or any request involving a YouTube URL, video ID, or @handle. Do NOT use for downloading video or audio files, YouTube engagement data (likes, comments), or private\u002Fage-restricted videos.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fyoutube-full\u002FSKILL.md",[106],{"categoryNo":107,"categoryName":108,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",[110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129],"youtube full","youtube","full","transcript","search","monitoring","data","Video","Audio","list","files","do","get","age","trigger","URL","for","browsing","request","youtube transcripts",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":47},"01M6QRCJ3112VYPA97YG7KGMC2","x-twitter-growth","X\u002FTwitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X\u002FTwitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fx-twitter-growth\u002FSKILL.md",[],[137,138,139,140,114,141,142,143,144,145,146,147,148,149,150,151,152,153,154,126],"twitter","x twitter growth","growth","research","content","engineering","plan","web search","competitors","analyze","engine","write","strategy","use","platform","grow","posting","competitive",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":164,"publishedAt":47},"01M6QRBN3EHQNJY42RERP7A149","write-a-skill","Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwrite-a-skill\u002FSKILL.md",[161],{"categoryNo":162,"categoryName":163,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[165,148,166,167,168,169,170,171,150,172,173,60,174,175,176,177,178,179,180,181],"write a skill","github","create","https","productivity","matt pocock","direct","example","build","new skill","structure","new agent","resources","with","tree","progressive disclosure","author",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":47},"01M6QRB6G8P33PNGAF9Y69EJ9T","wrap-up","Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the next 1-2 upgrades. Use when the user says \"wrap up\", \"close this out\", \"what do I own now\", \"give me the summary\", \"recap the agent\", or when the orchestrator routes phase=wrap-up. primitives_inventory.py tables everything owned (agent, environment, session, memory, outcome, deployment); overview_page.py regenerates a self-contained .\u002Fmy-agent\u002Fagent-overview.html; upgrade_suggester.py ranks the next moves from recorded deferrals plus standing hardening steps. Companion to run-without-you; the last stop before phase=done.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwrap-up\u002FSKILL.md",[],[189,190,191,192,193,194,195,196,197,150,198,121,199,200,201,202,203,204,205,206],"wrap up","up","wrap","gemini","deployment","run","file","hardening","closeout","stop","upgrade","founder","close","companion","you","tables","directions","phase",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":211,"categories":212,"keywords":214,"publishedAt":47},"01M6QRA5AYC1RBFZ39GTWGS3N8","workflow-builder","Design and write deterministic multi-agent workflow scripts (.js files in .claude\u002Fworkflows\u002F) for Claude Code's Workflow tool. Use when a user wants to build, create, author, scaffold, or run a custom Claude Code workflow, orchestrate sub-agents (fan-out, pipeline, loop, judge-panel), or automate a repeatable multi-step task across fresh-context agents.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fworkflow-builder\u002FSKILL.md",[213],{"categoryNo":162,"categoryName":163,"taxonomyType":21,"taxonomyTypeDesc":22},[215,216,217,218,219,167,194,220,221,222,223,224,148,225,120,226,227,228,229,230],"workflow","workflow builder","builder","design","workflows","code","orchestrate","pipeline","loop","multi-agent","context","across","fresh","scripts","judge","claude code workflow",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":235,"categories":236,"keywords":237,"publishedAt":47},"01M6QR7QMCZESKQA0ERW1E657M","weekly-review","Use when someone wants to run a weekly review, close open loops, audit stalled projects and commitments, get their system back to trusted, restart a lapsed review habit, or says \"\u002Fcs:weekly-review\". Walks David Allen's three-phase loop — GET CLEAR, GET CURRENT, GET CREATIVE — with deterministic scripts that inventory open loops, gate the checklist with named gaps, and score commitment health 0-100.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fweekly-review\u002FSKILL.md",[],[238,239,240,241,242,243,244,44,245,223,246,247,248,249,250,251,122,252,253,206],"review","weekly review","weekly","deterministic scripts","reflect","feeds","inventory","team","projects","project-management","scanner","conversation","back","project","sprint","cadence"]