[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M78ZVC7E41CATEYA2AY4RGKG":3,"skill-same:01M78ZVC7E41CATEYA2AY4RGKG":70},{"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":26,"commitSha":27,"skillDirectory":28,"forksCount":29,"repositoryHtmlUrl":30,"repositoryHomepageUrl":6,"ownerHtmlUrl":31,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":32,"install":33,"resources":45},"01M78ZVC7E41CATEYA2AY4RGKG","core-conversion",null,"Convert files, streams, paths, URIs, and HTTP responses to Markdown with the MarkItDown Python API and CLI.","VectorSpaceLab\u002FAREX-Skill","VectorSpaceLab","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F180637102?v=4","01M7538C5WPSJGWF7KHR4EFZ9F","01M7538C6R2GFP53NPXTCZNBRT",351,"MIT","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: core-conversion\ndescription: \"Convert files, streams, paths, URIs, and HTTP responses to\n  Markdown with the MarkItDown Python API and CLI.\"\ndisable-model-invocation: true\nmetadata:\n  disco-role: operating\nlicense: MIT\n---\n\n# Core Conversion\n\nUse this sub-skill when a task needs offline MarkItDown conversion through the Python API or `markitdown` CLI: local files, `Path` objects, binary streams, `file:`, `data:`, `http:` or `https:` URIs, and `requests.Response` objects.\n\n## Start Here\n\n- For Python entry points, result objects, stream hints, URI handling, and exception handling, read [references\u002Fapi-reference.md](references\u002Fapi-reference.md).\n- For shell usage, stdin conversion, output files, stream hints, plugin listing, and data URI preservation, read [references\u002Fcli-reference.md](references\u002Fcli-reference.md).\n- For built-in converter coverage and optional dependency extras, read [references\u002Fformats-and-dependencies.md](references\u002Fformats-and-dependencies.md).\n- For unsupported formats, missing extras, failing converters, I\u002FO boundaries, stream buffering, audio tool warnings, and large embedded data, read [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md).\n- To smoke-test the installed package safely from any directory, run `python scripts\u002Fconvert_smoke.py --check-import` or `python scripts\u002Fconvert_smoke.py` from this sub-skill directory.\n\n## Routing Boundaries\n\n- Use this sub-skill for `MarkItDown`, `StreamInfo`, `DocumentConverterResult`, `DocumentConverter`, `convert`, `convert_local`, `convert_stream`, `convert_uri`, `convert_response`, the `markitdown` CLI, built-in converters, local fixtures, and conversion errors.\n- Route Azure Document Intelligence or Azure Content Understanding conversion to `..\u002Fcloud-integrations\u002FSKILL.md`.\n- Route OCR plugin usage to `..\u002Focr-plugin\u002FSKILL.md`.\n- Route custom converter or plugin authoring to `..\u002Fplugin-development\u002FSKILL.md`.\n- Route MCP serving to `..\u002Fmcp-server\u002FSKILL.md`.\n- Do not make real LLM, cloud, or external API calls from this sub-skill; document required kwargs only.\n\n## Safe Conversion Pattern\n\n1. Choose the narrowest API: `convert_local` for trusted local paths, `convert_stream` for caller-owned bytes, `convert_uri` only when URI fetching or URI decoding is intended, and `convert_response` when an HTTP client already fetched the response.\n2. Add `StreamInfo(extension=..., mimetype=..., charset=...)` when bytes have no reliable filename, content type, or charset.\n3. Capture `result.markdown`; use `result.title` when a converter provides a title, and `result.text_content` only for compatibility with older code.\n4. Preserve embedded data URIs only when explicitly needed with `keep_data_uris=True` or CLI `--keep-data-uris`.\n5. Catch `MissingDependencyException`, `UnsupportedFormatException`, and `FileConversionException` separately so users know whether to install an extra, choose another tool, or inspect converter-specific failures.\n","# Core Conversion\n\nUse this sub-skill when a task needs offline MarkItDown conversion through the Python API or `markitdown` CLI: local files, `Path` objects, binary streams, `file:`, `data:`, `http:` or `https:` URIs, and `requests.Response` objects.\n\n## Start Here\n\n- For Python entry points, result objects, stream hints, URI handling, and exception handling, read [references\u002Fapi-reference.md](references\u002Fapi-reference.md).\n- For shell usage, stdin conversion, output files, stream hints, plugin listing, and data URI preservation, read [references\u002Fcli-reference.md](references\u002Fcli-reference.md).\n- For built-in converter coverage and optional dependency extras, read [references\u002Fformats-and-dependencies.md](references\u002Fformats-and-dependencies.md).\n- For unsupported formats, missing extras, failing converters, I\u002FO boundaries, stream buffering, audio tool warnings, and large embedded data, read [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md).\n- To smoke-test the installed package safely from any directory, run `python scripts\u002Fconvert_smoke.py --check-import` or `python scripts\u002Fconvert_smoke.py` from this sub-skill directory.\n\n## Routing Boundaries\n\n- Use this sub-skill for `MarkItDown`, `StreamInfo`, `DocumentConverterResult`, `DocumentConverter`, `convert`, `convert_local`, `convert_stream`, `convert_uri`, `convert_response`, the `markitdown` CLI, built-in converters, local fixtures, and conversion errors.\n- Route Azure Document Intelligence or Azure Content Understanding conversion to `..\u002Fcloud-integrations\u002FSKILL.md`.\n- Route OCR plugin usage to `..\u002Focr-plugin\u002FSKILL.md`.\n- Route custom converter or plugin authoring to `..\u002Fplugin-development\u002FSKILL.md`.\n- Route MCP serving to `..\u002Fmcp-server\u002FSKILL.md`.\n- Do not make real LLM, cloud, or external API calls from this sub-skill; document required kwargs only.\n\n## Safe Conversion Pattern\n\n1. Choose the narrowest API: `convert_local` for trusted local paths, `convert_stream` for caller-owned bytes, `convert_uri` only when URI fetching or URI decoding is intended, and `convert_response` when an HTTP client already fetched the response.\n2. Add `StreamInfo(extension=..., mimetype=..., charset=...)` when bytes have no reliable filename, content type, or charset.\n3. Capture `result.markdown`; use `result.title` when a converter provides a title, and `result.text_content` only for compatibility with older code.\n4. Preserve embedded data URIs only when explicitly needed with `keep_data_uris=True` or CLI `--keep-data-uris`.\n5. Catch `MissingDependencyException`, `UnsupportedFormatException`, and `FileConversionException` separately so users know whether to install an extra, choose another tool, or inspect converter-specific failures.\n",{"name":5,"license":14,"metadata":23,"description":7,"disable-model-invocation":25},{"disco-role":24},"operating",true,"main","ac3fe1afa80fb9a09775ecfb2b6cc3ba850a2db6","skills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion",27,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab","2026-09-03 10:25:21",{"source":8,"skillName":5,"commands":34,"prompt":44,"zipAvailable":25},[35,38,41],{"tool":36,"command":37},"npx","npx skills add VectorSpaceLab\u002FAREX-Skill --skill core-conversion",{"tool":39,"command":40},"bunx","bunx skills add VectorSpaceLab\u002FAREX-Skill --skill core-conversion",{"tool":42,"command":43},"pnpm","pnpm dlx skills add VectorSpaceLab\u002FAREX-Skill --skill core-conversion","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002FSKILL.md",[46,52,56,60,64],{"path":47,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":50,"sourceHtmlUrl":51},"references\u002Fapi-reference.md","REFERENCE","参考文档",6436,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002Freferences\u002Fapi-reference.md",{"path":53,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":54,"sourceHtmlUrl":55},"references\u002Fcli-reference.md",3370,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002Freferences\u002Fcli-reference.md",{"path":57,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":58,"sourceHtmlUrl":59},"references\u002Fformats-and-dependencies.md",3762,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002Freferences\u002Fformats-and-dependencies.md",{"path":61,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":62,"sourceHtmlUrl":63},"references\u002Ftroubleshooting.md",4145,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002Freferences\u002Ftroubleshooting.md",{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"scripts\u002Fconvert_smoke.py","SCRIPT","脚本",5611,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fmarkitdown\u002Fsub-skills\u002Fcore-conversion\u002Fscripts\u002Fconvert_smoke.py",[71,79,86,93,100,107],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":75,"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.","Apache-2.0","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":75,"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":75,"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":75,"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":75,"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":75,"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",[],[]]