[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C13QT3599VXMJS0B5X318R":3,"skill-same:01M6C13QT3599VXMJS0B5X318R":96},{"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":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":13,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6C13QT3599VXMJS0B5X318R","run-without-you",null,"Phase 4 of building a Claude Managed Agent — make it run without you. Turn a graded agent into a recurring scheduled deployment (POSIX-cron), an event-driven curl trigger, or confirmed on-demand use, then finalize the versioned roadmap. Use when the user says \"run it every morning\", \"put it on a schedule\", \"nightly\", \"weekly\", \"automate this\", \"make it recurring\", or when the orchestrator routes phase=run-without-you. deployment_builder.py builds the POST \u002Fv1\u002Fdeployments payload (initial_events must include user.message; optionally nests a user.define_outcome so each firing self-grades); cron_validator.py validates the 5-field cron + IANA timezone and prints the wall-clock DST note; next_directions_writer.py writes NEXT-DIRECTIONS.md. No tool makes API calls — the deployment is created via BYOK curl. Distinct from grade-iterate (the in-session loop) and wrap-up (closeout).","mne20114-hash\u002Fgest35bi","mne20114-hash","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F224168109?v=4","01M6C0JCR7334CZ39YWTZXX2NG","01M6C0JCWN0NBWMQTW1CPG2Z4G",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you\u002FSKILL.md",[],[18,19,20,21,22,5,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"run","run without you","tool","dst","next-directions","recurring","cma","closeout","curl","schedule","cli","loop","api","automate this","code","deployment","codex","antigravity","gemini","2026-11-10 10:12:30",false,"---\nname: run-without-you\ndescription: Phase 4 of building a Claude Managed Agent — make it run without you. Turn a graded agent into a recurring scheduled deployment (POSIX-cron), an event-driven curl trigger, or confirmed on-demand use, then finalize the versioned roadmap. Use when the user says \"run it every morning\", \"put it on a schedule\", \"nightly\", \"weekly\", \"automate this\", \"make it recurring\", or when the orchestrator routes phase=run-without-you. deployment_builder.py builds the POST \u002Fv1\u002Fdeployments payload (initial_events must include user.message; optionally nests a user.define_outcome so each firing self-grades); cron_validator.py validates the 5-field cron + IANA timezone and prints the wall-clock DST note; next_directions_writer.py writes NEXT-DIRECTIONS.md. No tool makes API calls — the deployment is created via BYOK curl. Distinct from grade-iterate (the in-session loop) and wrap-up (closeout).\nversion: 2.11.2\nauthor: Alireza Rezvani\nlicense: MIT\ntags: [cma, deployment, cron, schedule, recurring, run-without-you, next-directions, dst]\ncompatible_tools: [claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli]\n---\n\n# Phase 4 — Run Without You (the recurring loop)\n\nA **scheduled deployment** fires a fresh session on a cron cadence — the agent\nruns without you. Each firing can carry its own outcome, nesting the bounded\ngrade→iterate loop inside every recurring run.\n\nSee [`..\u002F..\u002Freferences\u002Floops-and-workflows.md`](..\u002F..\u002Freferences\u002Floops-and-workflows.md).\n\n## Choose the trigger\n\n| Answer | Shape | Tool |\n|---|---|---|\n| \"every morning \u002F weekly \u002F nightly\" | recurring cron deployment | `deployment_builder.py` + `cron_validator.py` |\n| \"when X happens\" | event-driven curl (documented, not scheduled) | `deployment_builder.py` (message only) |\n| \"only when I ask\" | on-demand (no deployment) | none — just re-send a `user.message` |\n\n## Workflow (recurring)\n\n1. **Validate the schedule.**\n   ```bash\n   python3 scripts\u002Fcron_validator.py --cron \"0 9 * * *\" --timezone Europe\u002FBerlin\n   ```\n   Invalid cron\u002Ftimezone → exit 1. Read the **DST note**: wall-clock semantics mean\n   spring-forward times are skipped and fall-back times fire twice — avoid\n   02:00–03:00 in DST zones if exactly-once matters.\n2. **Build the deployment payload.**\n   ```bash\n   python3 scripts\u002Fdeployment_builder.py \\\n     --sheet .\u002Fmy-agent\u002Fbuild-sheet.json --agent-id agent_123 --env-id env_456 \\\n     --nest-outcome --out .\u002Fmy-agent\u002Fpayloads\u002Fdeployment.json\n   ```\n   `--nest-outcome` includes the rubric so **each firing self-grades**. The tool\n   prints the BYOK curl to create it and to **test it once** with the manual `run`\n   endpoint before trusting the schedule.\n3. **Test before you trust.** Fire one manual `run`, read the verdict, only then\n   leave the cron in place. Pin the agent version in the deployment once it passes.\n4. **Finalize the roadmap.**\n   ```bash\n   python3 scripts\u002Fnext_directions_writer.py \\\n     --sheet .\u002Fmy-agent\u002Fbuild-sheet.json --loop-shape cron-loop --last-verdict satisfied --out-dir .\u002Fmy-agent\n   ```\n5. **Advance + hand to wrap-up.** `goal_state.py set --phase wrap-up`, then invoke\n   the `wrap-up` skill.\n\n## Hard rules\n\n- **Test with a manual `run` first.** Never commit a schedule you haven't fired once.\n- **Safety rails on by default.** `always_ask` MCP, `limited` networking where you\n  can, `read_only` untrusted memory, `max_iterations` per firing, workspace spend\n  limit. There is no spend cap inside CMA.\n- **DST is wall-clock.** Surface the note; pick safe times.\n- **≤1,000 deployments\u002Forg.**\n\n## Forcing-question library (recommend + cite)\n\n1. \"Cadence, event, or on-request?\" *Recommend:* on-request v0 → cadence once graded.\n   *Cite:* loops-and-workflows.md.\n2. \"Should each firing self-grade?\" *Recommend:* yes — nest the outcome. *Cite:*\n   loops-and-workflows.md (nesting rule).\n3. \"Which timezone, and is the time DST-safe?\" *Recommend:* avoid 02:00–03:00 in\n   DST zones. *Cite:* cma-primitives.md (wall-clock DST).\n4. \"Did you fire one manual run first?\" *Recommend:* always. *Cite:* this SKILL.\n\n## Tools\n\n- `scripts\u002Fdeployment_builder.py` — POST \u002Fv1\u002Fdeployments payload (+ test-run curl).\n- `scripts\u002Fcron_validator.py` — 5-field cron + IANA tz + DST note.\n- `scripts\u002Fnext_directions_writer.py` — write\u002Frefresh NEXT-DIRECTIONS.md.\n","# Phase 4 — Run Without You (the recurring loop)\n\nA **scheduled deployment** fires a fresh session on a cron cadence — the agent\nruns without you. Each firing can carry its own outcome, nesting the bounded\ngrade→iterate loop inside every recurring run.\n\nSee [`..\u002F..\u002Freferences\u002Floops-and-workflows.md`](..\u002F..\u002Freferences\u002Floops-and-workflows.md).\n\n## Choose the trigger\n\n| Answer | Shape | Tool |\n|---|---|---|\n| \"every morning \u002F weekly \u002F nightly\" | recurring cron deployment | `deployment_builder.py` + `cron_validator.py` |\n| \"when X happens\" | event-driven curl (documented, not scheduled) | `deployment_builder.py` (message only) |\n| \"only when I ask\" | on-demand (no deployment) | none — just re-send a `user.message` |\n\n## Workflow (recurring)\n\n1. **Validate the schedule.**\n   ```bash\n   python3 scripts\u002Fcron_validator.py --cron \"0 9 * * *\" --timezone Europe\u002FBerlin\n   ```\n   Invalid cron\u002Ftimezone → exit 1. Read the **DST note**: wall-clock semantics mean\n   spring-forward times are skipped and fall-back times fire twice — avoid\n   02:00–03:00 in DST zones if exactly-once matters.\n2. **Build the deployment payload.**\n   ```bash\n   python3 scripts\u002Fdeployment_builder.py \\\n     --sheet .\u002Fmy-agent\u002Fbuild-sheet.json --agent-id agent_123 --env-id env_456 \\\n     --nest-outcome --out .\u002Fmy-agent\u002Fpayloads\u002Fdeployment.json\n   ```\n   `--nest-outcome` includes the rubric so **each firing self-grades**. The tool\n   prints the BYOK curl to create it and to **test it once** with the manual `run`\n   endpoint before trusting the schedule.\n3. **Test before you trust.** Fire one manual `run`, read the verdict, only then\n   leave the cron in place. Pin the agent version in the deployment once it passes.\n4. **Finalize the roadmap.**\n   ```bash\n   python3 scripts\u002Fnext_directions_writer.py \\\n     --sheet .\u002Fmy-agent\u002Fbuild-sheet.json --loop-shape cron-loop --last-verdict satisfied --out-dir .\u002Fmy-agent\n   ```\n5. **Advance + hand to wrap-up.** `goal_state.py set --phase wrap-up`, then invoke\n   the `wrap-up` skill.\n\n## Hard rules\n\n- **Test with a manual `run` first.** Never commit a schedule you haven't fired once.\n- **Safety rails on by default.** `always_ask` MCP, `limited` networking where you\n  can, `read_only` untrusted memory, `max_iterations` per firing, workspace spend\n  limit. There is no spend cap inside CMA.\n- **DST is wall-clock.** Surface the note; pick safe times.\n- **≤1,000 deployments\u002Forg.**\n\n## Forcing-question library (recommend + cite)\n\n1. \"Cadence, event, or on-request?\" *Recommend:* on-request v0 → cadence once graded.\n   *Cite:* loops-and-workflows.md.\n2. \"Should each firing self-grade?\" *Recommend:* yes — nest the outcome. *Cite:*\n   loops-and-workflows.md (nesting rule).\n3. \"Which timezone, and is the time DST-safe?\" *Recommend:* avoid 02:00–03:00 in\n   DST zones. *Cite:* cma-primitives.md (wall-clock DST).\n4. \"Did you fire one manual run first?\" *Recommend:* always. *Cite:* this SKILL.\n\n## Tools\n\n- `scripts\u002Fdeployment_builder.py` — POST \u002Fv1\u002Fdeployments payload (+ test-run curl).\n- `scripts\u002Fcron_validator.py` — 5-field cron + IANA tz + DST note.\n- `scripts\u002Fnext_directions_writer.py` — write\u002Frefresh NEXT-DIRECTIONS.md.\n",{"name":5,"tags":42,"author":44,"license":14,"version":45,"description":7,"compatible_tools":46},[24,33,43,27,23,5,22,21],"cron","Alireza Rezvani","2.11.2",[47,48,49,35,50,51],"claude-code","codex-cli","cursor","opencode","gemini-cli","main","510dd2917e051cc953dc55f56fd6ef442aa01b38","claude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi","https:\u002F\u002Fgithub.com\u002Fmne20114-hash","2026-10-28 07:50:31",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add mne20114-hash\u002Fgest35bi --skill run-without-you",{"tool":64,"command":65},"bunx","bunx skills add mne20114-hash\u002Fgest35bi --skill run-without-you",{"tool":67,"command":68},"pnpm","pnpm dlx skills add mne20114-hash\u002Fgest35bi --skill run-without-you","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you\u002FSKILL.md",true,[72,78,82,88,92],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"README.md","REFERENCE","参考文档",1115,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you\u002FREADME.md",{"path":79,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fdetailed-guide.md",19940,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-firebase\u002Freferences\u002Fdetailed-guide.md",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"scripts\u002Fcron_validator.py","SCRIPT","脚本",4914,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you\u002Fscripts\u002Fcron_validator.py",{"path":89,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Fdeployment_builder.py",6067,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you\u002Fscripts\u002Fdeployment_builder.py",{"path":93,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":94,"sourceHtmlUrl":95},"scripts\u002Fnext_directions_writer.py",3986,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fagent-launcher\u002Fskills\u002Frun-without-you\u002Fscripts\u002Fnext_directions_writer.py",[97,136,157,180,205,225],{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":116,"publishedAt":37},"01M6C27N3H0F9RGG2KASPASH04","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[103,108,111],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":109,"categoryName":110,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[99,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135],"docx","pr","create","intake","search","audit","integrity","checkpoint","learning","js","format","direct","Rules","find","consensus","list","extract","use","outcomes",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":146,"publishedAt":37},"01M6C27DMGZ4D6ERNHSVA8H8RJ","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[142,145],{"categoryNo":143,"categoryName":144,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":109,"categoryName":110,"taxonomyType":106,"taxonomyTypeDesc":107},[138,147,148,118,149,120,122,150,151,123,152,153,154,20,128,129,155,130,156,134],"research","web","sentiment analysis","sentiment","Citations","analysis","discovery","open","twitter","user",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":168,"publishedAt":37},"01M6C279M59X635VPD6Y9R616J","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[163,164,165],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":109,"categoryName":110,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":166,"categoryName":167,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000037","律师与法务",[159,117,118,169,170,171,120,121,122,152,172,173,174,129,175,176,177,178,134,179],"competitive landscape","routing","product","commits","Word","text","acquisition","decisions","strategy","coverage","advice",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":190,"publishedAt":37},"01M6C275RZWNRB3CCB14QQM7ES","notebooklm","Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio\u002FVideo Overviews, Mind Maps, Reports incl. Briefing Doc\u002FStudy Guide\u002FFAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[186,189],{"categoryNo":187,"categoryName":188,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":109,"categoryName":110,"taxonomyType":106,"taxonomyTypeDesc":107},[182,191,192,147,193,194,195,196,197,198,199,200,154,174,128,201,202,203,204,134],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","check","ask","environment","overview",{"skillNo":206,"name":207,"nameZh":6,"description":208,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":209,"categories":210,"keywords":215,"publishedAt":37},"01M6C2717B0QDJ3Y4PJP77BMW5","litreview","Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed\u002FOpenAlex (or Consensus) query.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[211,212,213,214],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":143,"categoryName":144,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":109,"categoryName":110,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[207,117,216,217,218,118,120,121,219,220,221,124,222,173,223,129,131,224,178,134],"MCP","writing","review","lane","keyless","literature review","plan","researcher","question",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":229,"categories":230,"keywords":235,"publishedAt":37},"01M6C26X5G3WDVWQ40Y16ZS19F","grants","NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance\u002FInnovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget\u002Fscope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fgrants\u002Fskills\u002Fgrants\u002FSKILL.md",[231,232,233,234],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":143,"categoryName":144,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":109,"categoryName":110,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[227,117,147,118,236,120,121,122,237,238,123,152,173,129,130,131,177,203,134,239],"help","data","Budget","innovation"]