[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M792F8C9NHVSWRVBTQJMHA6G":3,"skill-same:01M792F8C9NHVSWRVBTQJMHA6G":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":30,"repositoryHtmlUrl":31,"repositoryHomepageUrl":6,"ownerHtmlUrl":32,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":33,"install":34,"resources":46},"01M792F8C9NHVSWRVBTQJMHA6G","cli-and-indexing",null,"Operate the PaperQA pqa CLI and local full-text index workflows safely.","VectorSpaceLab\u002FAREX-Skill","VectorSpaceLab","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F180637102?v=4","01M7538C5WPSJGWF7KHR4EFZ9F","01M7538C6R2GFP53NPXTCZNBRT",351,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: cli-and-indexing\ndescription: \"Operate the PaperQA pqa CLI and local full-text index workflows safely.\"\ndisable-model-invocation: true\nmetadata:\n  disco-role: operating\nlicense: Apache 2.0\n---\n\n# PaperQA CLI and Indexing\n\nUse this sub-skill when the task is about the `pqa` command-line interface or\nPaperQA's local search indexes: `pqa ask`, `pqa search`, `pqa index`, `pqa view`,\n`pqa save`, `--settings`, `--index`, `PQA_HOME`, manifest CSVs, named indexes,\nautogenerated indexes, answer history search, and index reuse or invalidation.\n\nDo not use this sub-skill for Python `Docs`\u002F`ask`\u002F`agent_query` RAG code,\nparser internals, metadata-provider APIs, or deep model\u002Fprovider settings. Route\nthose to the sibling sub-skills for agentic RAG, docs\u002Fparsing, metadata\u002Fsources,\nand settings\u002Fconfiguration.\n\n## Operating rules\n\n1. For CLI syntax and safe examples, read\n   [references\u002Fcli-reference.md](references\u002Fcli-reference.md).\n2. For index names, directories, manifests, reuse, answer indexes, recursive\n   scanning, and invalidation, read\n   [references\u002Findexing-workflows.md](references\u002Findexing-workflows.md).\n3. For failures or surprising behavior, read\n   [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md).\n4. Use [scripts\u002Finspect_cli.py](scripts\u002Finspect_cli.py) before relying on a\n   user's environment-specific `pqa` entry point or parser behavior. It only\n   inspects help text and does not run queries, embeddings, or metadata lookups.\n5. Use [scripts\u002Fvalidate_manifest.py](scripts\u002Fvalidate_manifest.py) before an\n   index build that depends on a manifest CSV.\n\n## Safety boundary\n\n`pqa ask` and `pqa index` can call LLM, embedding, and paper-metadata providers\nwhile parsing, indexing, searching, or answering unless the user configured\nlocal\u002Ffake\u002Foffline-compatible settings. Before running those commands, make the\nprovider, credential, network, cost, and rate-limit implications explicit.\nPrefer `pqa view`, `pqa search` on an existing index, `inspect_cli.py`, and\n`validate_manifest.py` for dry-run or diagnostic steps.\n\n## Quick routing map\n\n- Need to view or save named CLI settings: use `pqa view` \u002F `pqa save`, then\n  cross-route provider details to `..\u002Fsettings-and-configuration\u002FSKILL.md`.\n- Need to build or reuse a local paper index: use this sub-skill's indexing\n  workflows and keep document paths user-owned.\n- Need full-text search over a prebuilt paper index or previous answers: use\n  `pqa search` with the correct `--index` and `--agent.index.index_directory`.\n- Need generated answers with citations from local documents: this sub-skill\n  covers the CLI command shape; route answer behavior and Python API details to\n  `..\u002Fagentic-rag\u002FSKILL.md`.\n- Need file-format parsing or custom file filtering beyond CLI flags: route to\n  `..\u002Fdocs-and-parsing\u002FSKILL.md`.\n","# PaperQA CLI and Indexing\n\nUse this sub-skill when the task is about the `pqa` command-line interface or\nPaperQA's local search indexes: `pqa ask`, `pqa search`, `pqa index`, `pqa view`,\n`pqa save`, `--settings`, `--index`, `PQA_HOME`, manifest CSVs, named indexes,\nautogenerated indexes, answer history search, and index reuse or invalidation.\n\nDo not use this sub-skill for Python `Docs`\u002F`ask`\u002F`agent_query` RAG code,\nparser internals, metadata-provider APIs, or deep model\u002Fprovider settings. Route\nthose to the sibling sub-skills for agentic RAG, docs\u002Fparsing, metadata\u002Fsources,\nand settings\u002Fconfiguration.\n\n## Operating rules\n\n1. For CLI syntax and safe examples, read\n   [references\u002Fcli-reference.md](references\u002Fcli-reference.md).\n2. For index names, directories, manifests, reuse, answer indexes, recursive\n   scanning, and invalidation, read\n   [references\u002Findexing-workflows.md](references\u002Findexing-workflows.md).\n3. For failures or surprising behavior, read\n   [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md).\n4. Use [scripts\u002Finspect_cli.py](scripts\u002Finspect_cli.py) before relying on a\n   user's environment-specific `pqa` entry point or parser behavior. It only\n   inspects help text and does not run queries, embeddings, or metadata lookups.\n5. Use [scripts\u002Fvalidate_manifest.py](scripts\u002Fvalidate_manifest.py) before an\n   index build that depends on a manifest CSV.\n\n## Safety boundary\n\n`pqa ask` and `pqa index` can call LLM, embedding, and paper-metadata providers\nwhile parsing, indexing, searching, or answering unless the user configured\nlocal\u002Ffake\u002Foffline-compatible settings. Before running those commands, make the\nprovider, credential, network, cost, and rate-limit implications explicit.\nPrefer `pqa view`, `pqa search` on an existing index, `inspect_cli.py`, and\n`validate_manifest.py` for dry-run or diagnostic steps.\n\n## Quick routing map\n\n- Need to view or save named CLI settings: use `pqa view` \u002F `pqa save`, then\n  cross-route provider details to `..\u002Fsettings-and-configuration\u002FSKILL.md`.\n- Need to build or reuse a local paper index: use this sub-skill's indexing\n  workflows and keep document paths user-owned.\n- Need full-text search over a prebuilt paper index or previous answers: use\n  `pqa search` with the correct `--index` and `--agent.index.index_directory`.\n- Need generated answers with citations from local documents: this sub-skill\n  covers the CLI command shape; route answer behavior and Python API details to\n  `..\u002Fagentic-rag\u002FSKILL.md`.\n- Need file-format parsing or custom file filtering beyond CLI flags: route to\n  `..\u002Fdocs-and-parsing\u002FSKILL.md`.\n",{"name":5,"license":23,"metadata":24,"description":7,"disable-model-invocation":26},"Apache 2.0",{"disco-role":25},"operating",true,"main","ac3fe1afa80fb9a09775ecfb2b6cc3ba850a2db6","skills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing",27,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab","2026-09-03 10:25:21",{"source":8,"skillName":5,"commands":35,"prompt":45,"zipAvailable":26},[36,39,42],{"tool":37,"command":38},"npx","npx skills add VectorSpaceLab\u002FAREX-Skill --skill cli-and-indexing",{"tool":40,"command":41},"bunx","bunx skills add VectorSpaceLab\u002FAREX-Skill --skill cli-and-indexing",{"tool":43,"command":44},"pnpm","pnpm dlx skills add VectorSpaceLab\u002FAREX-Skill --skill cli-and-indexing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002FSKILL.md",[47,53,57,61,67],{"path":48,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":51,"sourceHtmlUrl":52},"references\u002Fcli-reference.md","REFERENCE","参考文档",6488,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002Freferences\u002Fcli-reference.md",{"path":54,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":55,"sourceHtmlUrl":56},"references\u002Findexing-workflows.md",7569,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002Freferences\u002Findexing-workflows.md",{"path":58,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":59,"sourceHtmlUrl":60},"references\u002Ftroubleshooting.md",7540,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002Freferences\u002Ftroubleshooting.md",{"path":62,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":65,"sourceHtmlUrl":66},"scripts\u002Finspect_cli.py","SCRIPT","脚本",6149,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002Fscripts\u002Finspect_cli.py",{"path":68,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":69,"sourceHtmlUrl":70},"scripts\u002Fvalidate_manifest.py",9287,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fpaper-qa\u002Fsub-skills\u002Fcli-and-indexing\u002Fscripts\u002Fvalidate_manifest.py",[72,79,86,93,100,107],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":18},"01M799NYSH1R3RVAHSM2D88Y84","passnet-triton-opt","Make a single PassNet Triton kernel fast AND numerically faithful: performance model (when a replacement can win at all), block\u002Fgrid\u002Fwarp tuning, autotune policy, launch overhead, and per-op numeric recipes to pass the dtype baseline tolerances. Use when a pass matches and is correct but speedup below expected, or when correctness fails by small numeric margins.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-triton-opt\u002FSKILL.md",[],[],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":18},"01M799NS5APEC0N1FZ7XZVW6BN","passnet-solve","END-TO-END playbook for solving one PassNet sample: analyze the computation graphs, decide the optimization strategy (what to fuse, what to replace, what to leave alone), drive the iteration loop, and maximize the sample score. This is the ENTRY skill — invoke it first for any PassNet optimization task; it tells you when to use passnet-pattern-fusion, passnet-triton-opt and passnet-feedback.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-solve\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":18},"01M799NNY9BKSM21V5R7QVTBJX","passnet-skill","PassNet GPU kernel optimization via compiler passes. Design and implement Triton-based optimization passes, create pass files under .\u002Fpass_dir\u002F, self-evaluate with pass_evaluator, and iterate to maximize GPU speedup.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-skill\u002FSKILL.md",[],[],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":18},"01M799NHH6NP7Z1RK77KGXAN6S","passnet-pattern-fusion","Author PassNet pass files: write patterns that actually MATCH the FX graph, pick fusion regions (which ops to absorb into one Triton kernel), and structure multi-pass submissions with the mandatory shared-dispatch architecture. Use when creating or fixing pattern()\u002Freplacement_args()\u002Freplacement_func() files, when a pass \"failed to match\", or when deciding how to fuse multiple kernels\u002Fops.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-pattern-fusion\u002FSKILL.md",[],[],{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":18},"01M799ND2J4WNC2PGAZ0A06NDF","passnet-orchestrate","Round\u002Fbatch planning and decision support for PassNet graph optimization. Use for multi-sample triage, worker allocation, eval-budget policy, and post-eval keep\u002Frevert decisions. For solving one concrete sample end to end, use passnet-solve as the entry skill; consult this skill only when you need broader planning or a specific decision gate.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-orchestrate\u002FSKILL.md",[],[],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":18},"01M799N8SBTMY02ZDG2AZF5ZWE","passnet-feedback","Fast, deterministic feedback for PassNet work: pre-flight pattern\u002Fmatch verification WITHOUT burning a GPU evaluation, per-node bottleneck analysis of a sample's graphs, and eval-log parsing into per-variant status + estimated score + failure classification. Use BEFORE every GPU evaluation (check_pattern), at the START of a sample (analyze_graph), and AFTER every evaluation (parse_eval_log).","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-feedback\u002FSKILL.md",[],[]]