[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6QGPSX4QHFES18ATXM0AS6M":3,"skill-same:01M6QGPSX4QHFES18ATXM0AS6M":105},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":63,"commitSha":64,"skillDirectory":65,"forksCount":14,"repositoryHtmlUrl":66,"repositoryHomepageUrl":67,"ownerHtmlUrl":68,"ownerBlogUrl":69,"ownerDescription":70,"updatedAt":71,"install":72,"resources":84},"01M6QGPSX4QHFES18ATXM0AS6M","exa-search",null,"Searches scientific and technical web content with Exa and extracts page or PDF text from URLs in batches. Supports scholarly discovery with the publication category and academic domain filters. Applies to requests to search the web, look up current research, fetch a page, or extract an article using Exa.","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\u002Fkd-exa-search\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"search","exa search","exa","up","current research","true","internet","web content","scientific","article","domain","filters","PDF","fetch","page","text","access","discovery","api","python","2026-11-10 10:12:30",false,"---\nname: exa-search\ndescription: \"Searches scientific and technical web content with Exa and extracts page or PDF text from URLs in batches. Supports scholarly discovery with the publication category and academic domain filters. Applies to requests to search the web, look up current research, fetch a page, or extract an article using Exa.\"\ncompatibility: Requires Python 3.11+, exa-py>=2.23.0,\u003C3, an EXA_API_KEY, and internet access.\nlicense: MIT\nmetadata:\n  version: \"1.4\"\n  last-reviewed: \"2026-09-30\"\n  skill-author: Exa\n  website: https:\u002F\u002Fexa.ai\n  docs: https:\u002F\u002Fexa.ai\u002Fdocs\n  openclaw:\n    primaryEnv: EXA_API_KEY\n    envVars:\n    - name: EXA_API_KEY\n      required: true\n      description: Exa search API key.\ncategory: \"scientific-computing\"\n---\n\n# Exa Web Toolkit\n\nA skill for web-powered research tasks backed by [Exa](https:\u002F\u002Fexa.ai): web search and URL extraction. Exa's index combines high-quality keyword and semantic retrieval, which makes it well-suited to scientific, technical, and conceptual queries.\n\n## Routing — pick the right capability\n\nRead the user's request and match it to one of the capabilities below. Read the corresponding reference file for detailed instructions before running commands.\n\n| User wants to... | Capability | Where |\n|---|---|---|\n| Look something up, research a topic, find current info | **Web Search** | `references\u002Fweb-search.md` |\n| Fetch content from a specific URL (webpage, article, PDF) | **Web Extract** | `references\u002Fweb-extract.md` |\n| Install or authenticate | **Setup** | Below |\n\n### Decision guide\n\n- **Default to Web Search** for topic lookups, research questions, or \"what is X?\" queries. When the topic is scientific or technical, pass `--category publication` to bias toward scholarly sources, and\u002For an academic `--include-domains` allowlist. See `references\u002Fweb-search.md` for the two-pass academic strategy.\n- **Use Web Extract** when the user provides a URL or asks you to read\u002Ffetch a specific page. Prefer this over the built-in WebFetch for batch extraction (multiple URLs in one call) and for academic PDFs.\n\n### Academic source priority\n\nFor technical or scientific queries, prefer academic and scientific sources:\n- Peer-reviewed journal articles and conference proceedings over blog posts or news\n- Preprints (arXiv, bioRxiv, medRxiv) when peer-reviewed versions aren't available\n- Institutional and government sources (NIH, WHO, NASA, NIST) over commercial sites\n- Primary research over secondary summaries\n\nTwo levers to steer Exa toward scholarly content:\n1. `--category publication` biases retrieval toward scholarly sources.\n2. `--include-domains` with a scholarly allowlist (arxiv.org, nature.com, pubmed.ncbi.nlm.nih.gov, etc.) restricts the domain pool.\n\nCombine both to narrow the source pool; verify publication type and peer-review status on each source. See `references\u002Fweb-search.md` for the full pattern.\n\nWhen citing academic sources, include author names and publication year where available (e.g., [Smith et al., 2025](url)) in addition to the standard citation format. If a DOI is present, prefer the DOI link.\n\n---\n\n## Setup\n\nThis skill uses the [`exa-py`](https:\u002F\u002Fgithub.com\u002Fexa-labs\u002Fexa-py) Python SDK. The scripts in `scripts\u002F` declare their dependencies via PEP 723 inline metadata, so you can run them directly with `uv run` without a separate install step:\n\n```bash\nuv run \"$SKILL_PATH\u002Fscripts\u002Fexa_search.py\" --help\n```\n\nIf you prefer a persistent install:\n\n```bash\nuv pip install \"exa-py>=2.23.0,\u003C3\"\n```\n\n### Authentication\n\nAll commands read the API key from the `EXA_API_KEY` environment variable. Get your Exa API key at [dashboard.exa.ai\u002Fapi-keys](https:\u002F\u002Fdashboard.exa.ai\u002Fapi-keys).\n\nFirst, check if a `.env` file exists in the project root and contains `EXA_API_KEY`. If so, load it:\n\n```bash\ndotenv -f .env run -- uv run \"$SKILL_PATH\u002Fscripts\u002Fexa_search.py\" \"your query\"\n```\n\nIf `dotenv` isn't available, install it: `uv pip install 'python-dotenv[cli]'`.\n\nIf there's no `.env`, export the key for the session:\n\n```bash\nexport EXA_API_KEY=\"your-key\"\n```\n\nUse `--help` to verify installation and CLI parsing; it does not require an API key or validate authentication. Authentication is checked only when a real query is made.\n\n### Extraction limits and freshness\n\nThe extractor accepts 1–100 URLs per `POST https:\u002F\u002Fapi.exa.ai\u002Fcontents` call\nand exports each SDK status (`id`, `status`, `source`). It rejects larger batches.\nUse `--max-age-hours 0` to request fresh content, `-1` for cache only, or a\npositive age up to 720 hours. Omission uses Exa's cache\u002Ffallback policy.\n`published_date` is estimated publication metadata, not retrieval time.\nThe tested SDK drops per-URL error details, so report failures without inventing\na cause. See [URL Extraction](references\u002Fweb-extract.md).\n\n### Verified API and SDK scope\n\nReviewed the [Search API](https:\u002F\u002Fexa.ai\u002Fdocs\u002Freference\u002Fsearch),\n[Contents API](https:\u002F\u002Fexa.ai\u002Fdocs\u002Freference\u002Fget-contents), and\n[Exa changelog](https:\u002F\u002Fexa.ai\u002Fdocs\u002Fchangelog) on 2026-09-30. Both routes use\nJSON POST requests and `x-api-key` authentication (the SDK sets this header).\nSearch is `POST https:\u002F\u002Fapi.exa.ai\u002Fsearch`; its SDK kwargs use snake_case and\nare serialized to camelCase. The current scholarly category is `publication`;\n`research paper` is a compatibility alias in this wrapper. No offset or cursor\npagination is documented for these endpoints.\n\nHelpers are tested with `exa-py==2.23.0`, including mocked HTTP transport through\nthe real SDK. Search content flags are explicit: no flags means metadata only;\n`--highlights` does not implicitly fetch text. Authenticated search\u002Fextraction\nexamples below and in the references are illustrative; no paid live calls were\nmade during this review.\n\n### Tracking header\n\nEvery script in this skill sets the `x-exa-integration` request header to `k-dense-ai--scientific-agent-skills` so Exa can attribute usage from the K-Dense AI scientific-agent-skills repo to this integration. Do not remove or rename this header when adapting the scripts.\n\n---\n\n## Files in this skill\n\n- `SKILL.md` — this file (routing and setup)\n- `references\u002Fweb-search.md` — detailed web search reference with academic strategy\n- `references\u002Fweb-extract.md` — URL content extraction reference\n- `scripts\u002Fexa_search.py` — CLI wrapper around `client.search`\n- `scripts\u002Fexa_extract.py` — CLI wrapper around `client.get_contents`\n","# Exa Web Toolkit\n\nA skill for web-powered research tasks backed by [Exa](https:\u002F\u002Fexa.ai): web search and URL extraction. Exa's index combines high-quality keyword and semantic retrieval, which makes it well-suited to scientific, technical, and conceptual queries.\n\n## Routing — pick the right capability\n\nRead the user's request and match it to one of the capabilities below. Read the corresponding reference file for detailed instructions before running commands.\n\n| User wants to... | Capability | Where |\n|---|---|---|\n| Look something up, research a topic, find current info | **Web Search** | `references\u002Fweb-search.md` |\n| Fetch content from a specific URL (webpage, article, PDF) | **Web Extract** | `references\u002Fweb-extract.md` |\n| Install or authenticate | **Setup** | Below |\n\n### Decision guide\n\n- **Default to Web Search** for topic lookups, research questions, or \"what is X?\" queries. When the topic is scientific or technical, pass `--category publication` to bias toward scholarly sources, and\u002For an academic `--include-domains` allowlist. See `references\u002Fweb-search.md` for the two-pass academic strategy.\n- **Use Web Extract** when the user provides a URL or asks you to read\u002Ffetch a specific page. Prefer this over the built-in WebFetch for batch extraction (multiple URLs in one call) and for academic PDFs.\n\n### Academic source priority\n\nFor technical or scientific queries, prefer academic and scientific sources:\n- Peer-reviewed journal articles and conference proceedings over blog posts or news\n- Preprints (arXiv, bioRxiv, medRxiv) when peer-reviewed versions aren't available\n- Institutional and government sources (NIH, WHO, NASA, NIST) over commercial sites\n- Primary research over secondary summaries\n\nTwo levers to steer Exa toward scholarly content:\n1. `--category publication` biases retrieval toward scholarly sources.\n2. `--include-domains` with a scholarly allowlist (arxiv.org, nature.com, pubmed.ncbi.nlm.nih.gov, etc.) restricts the domain pool.\n\nCombine both to narrow the source pool; verify publication type and peer-review status on each source. See `references\u002Fweb-search.md` for the full pattern.\n\nWhen citing academic sources, include author names and publication year where available (e.g., [Smith et al., 2025](url)) in addition to the standard citation format. If a DOI is present, prefer the DOI link.\n\n---\n\n## Setup\n\nThis skill uses the [`exa-py`](https:\u002F\u002Fgithub.com\u002Fexa-labs\u002Fexa-py) Python SDK. The scripts in `scripts\u002F` declare their dependencies via PEP 723 inline metadata, so you can run them directly with `uv run` without a separate install step:\n\n```bash\nuv run \"$SKILL_PATH\u002Fscripts\u002Fexa_search.py\" --help\n```\n\nIf you prefer a persistent install:\n\n```bash\nuv pip install \"exa-py>=2.23.0,\u003C3\"\n```\n\n### Authentication\n\nAll commands read the API key from the `EXA_API_KEY` environment variable. Get your Exa API key at [dashboard.exa.ai\u002Fapi-keys](https:\u002F\u002Fdashboard.exa.ai\u002Fapi-keys).\n\nFirst, check if a `.env` file exists in the project root and contains `EXA_API_KEY`. If so, load it:\n\n```bash\ndotenv -f .env run -- uv run \"$SKILL_PATH\u002Fscripts\u002Fexa_search.py\" \"your query\"\n```\n\nIf `dotenv` isn't available, install it: `uv pip install 'python-dotenv[cli]'`.\n\nIf there's no `.env`, export the key for the session:\n\n```bash\nexport EXA_API_KEY=\"your-key\"\n```\n\nUse `--help` to verify installation and CLI parsing; it does not require an API key or validate authentication. Authentication is checked only when a real query is made.\n\n### Extraction limits and freshness\n\nThe extractor accepts 1–100 URLs per `POST https:\u002F\u002Fapi.exa.ai\u002Fcontents` call\nand exports each SDK status (`id`, `status`, `source`). It rejects larger batches.\nUse `--max-age-hours 0` to request fresh content, `-1` for cache only, or a\npositive age up to 720 hours. Omission uses Exa's cache\u002Ffallback policy.\n`published_date` is estimated publication metadata, not retrieval time.\nThe tested SDK drops per-URL error details, so report failures without inventing\na cause. See [URL Extraction](references\u002Fweb-extract.md).\n\n### Verified API and SDK scope\n\nReviewed the [Search API](https:\u002F\u002Fexa.ai\u002Fdocs\u002Freference\u002Fsearch),\n[Contents API](https:\u002F\u002Fexa.ai\u002Fdocs\u002Freference\u002Fget-contents), and\n[Exa changelog](https:\u002F\u002Fexa.ai\u002Fdocs\u002Fchangelog) on 2026-09-30. Both routes use\nJSON POST requests and `x-api-key` authentication (the SDK sets this header).\nSearch is `POST https:\u002F\u002Fapi.exa.ai\u002Fsearch`; its SDK kwargs use snake_case and\nare serialized to camelCase. The current scholarly category is `publication`;\n`research paper` is a compatibility alias in this wrapper. No offset or cursor\npagination is documented for these endpoints.\n\nHelpers are tested with `exa-py==2.23.0`, including mocked HTTP transport through\nthe real SDK. Search content flags are explicit: no flags means metadata only;\n`--highlights` does not implicitly fetch text. Authenticated search\u002Fextraction\nexamples below and in the references are illustrative; no paid live calls were\nmade during this review.\n\n### Tracking header\n\nEvery script in this skill sets the `x-exa-integration` request header to `k-dense-ai--scientific-agent-skills` so Exa can attribute usage from the K-Dense AI scientific-agent-skills repo to this integration. Do not remove or rename this header when adapting the scripts.\n\n---\n\n## Files in this skill\n\n- `SKILL.md` — this file (routing and setup)\n- `references\u002Fweb-search.md` — detailed web search reference with academic strategy\n- `references\u002Fweb-extract.md` — URL content extraction reference\n- `scripts\u002Fexa_search.py` — CLI wrapper around `client.search`\n- `scripts\u002Fexa_extract.py` — CLI wrapper around `client.get_contents`\n",{"name":5,"license":15,"category":49,"metadata":50,"description":7,"compatibility":62},"scientific-computing",{"docs":51,"version":52,"website":53,"openclaw":54,"skill-author":60,"last-reviewed":61},"https:\u002F\u002Fexa.ai\u002Fdocs","1.4","https:\u002F\u002Fexa.ai",{"envVars":55,"primaryEnv":57},[56],{"name":57,"required":58,"description":59},"EXA_API_KEY",true,"Exa search API key.","Exa","2026-09-30","Requires Python 3.11+, exa-py>=2.23.0,\u003C3, an EXA_API_KEY, and internet access.","main","0da4485785ee599388900be50db1635489d53056",".agents\u002Fskills\u002Fkd-exa-search","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":73,"prompt":83,"zipAvailable":58},[74,77,80],{"tool":75,"command":76},"npx","npx skills add Tashima-Tarsh\u002FDisha6.6 --skill exa-search",{"tool":78,"command":79},"bunx","bunx skills add Tashima-Tarsh\u002FDisha6.6 --skill exa-search",{"tool":81,"command":82},"pnpm","pnpm dlx skills add Tashima-Tarsh\u002FDisha6.6 --skill exa-search","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkd-exa-search\u002FSKILL.md",[85,91,95,101],{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fweb-extract.md","REFERENCE","参考文档",3441,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkd-exa-search\u002Freferences\u002Fweb-extract.md",{"path":92,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":93,"sourceHtmlUrl":94},"references\u002Fweb-search.md",6646,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkd-exa-search\u002Freferences\u002Fweb-search.md",{"path":96,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002Fexa_extract.py","SCRIPT","脚本",4524,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkd-exa-search\u002Fscripts\u002Fexa_extract.py",{"path":102,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":103,"sourceHtmlUrl":104},"scripts\u002Fexa_search.py",6577,"https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkd-exa-search\u002Fscripts\u002Fexa_search.py",[106,135,160,187,211,235],{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":115,"publishedAt":44},"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",[112],{"categoryNo":113,"categoryName":114,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",[116,117,118,119,24,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134],"youtube full","youtube","full","transcript","monitoring","data","Video","Audio","list","files","do","get","age","trigger","URL","for","browsing","request","youtube transcripts",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":141,"publishedAt":44},"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",[],[142,143,144,145,24,146,147,148,149,150,151,152,153,154,155,156,157,158,159,131],"twitter","x twitter growth","growth","research","content","engineering","plan","web search","competitors","analyze","engine","write","strategy","use","platform","grow","posting","competitive",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":169,"publishedAt":44},"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",[166],{"categoryNo":167,"categoryName":168,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[170,153,171,172,173,174,175,176,155,177,178,63,179,180,181,182,183,184,185,186],"write a skill","github","create","https","productivity","matt pocock","direct","example","build","new skill","structure","new agent","resources","with","tree","progressive disclosure","author",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":193,"publishedAt":44},"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",[],[194,27,195,196,197,198,199,200,201,155,202,126,203,204,205,206,207,208,209,210],"wrap up","wrap","gemini","deployment","run","file","hardening","closeout","stop","upgrade","founder","close","companion","you","tables","directions","phase",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":215,"categories":216,"keywords":218,"publishedAt":44},"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",[217],{"categoryNo":167,"categoryName":168,"taxonomyType":21,"taxonomyTypeDesc":22},[219,220,221,222,223,172,198,224,225,226,227,228,153,229,125,230,231,232,233,234],"workflow","workflow builder","builder","design","workflows","code","orchestrate","pipeline","loop","multi-agent","context","across","fresh","scripts","judge","claude code workflow",{"skillNo":236,"name":237,"nameZh":6,"description":238,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":239,"categories":240,"keywords":241,"publishedAt":44},"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",[],[242,243,244,245,246,247,248,249,250,227,251,252,253,254,255,256,127,257,258,210],"review","weekly review","weekly","deterministic scripts","reflect","feeds","inventory","open","team","projects","project-management","scanner","conversation","back","project","sprint","cadence"]