[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7CSH3T3FEF1ZFPM4FEWWRPT":3,"skill-same:01M7CSH3T3FEF1ZFPM4FEWWRPT":87},{"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":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":29,"commitSha":30,"skillDirectory":31,"forksCount":14,"repositoryHtmlUrl":32,"repositoryHomepageUrl":6,"ownerHtmlUrl":33,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":34,"install":35,"resources":48},"01M7CSH3T3FEF1ZFPM4FEWWRPT","weekly-review",null,"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.","azhri1990\u002Fjarvis-mega-repo","azhri1990","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F281207543?v=4","01M7BMC0WHXB2ZA9SH1PFJDYNS","Nashriq Mokhtar","01M7C4WMQVQ450E0NA99BG7BHA",0,"MIT","https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: weekly-review\ndescription: 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.\nargument-hint: \"[optional: directory or notes to review]\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  build_pattern: \"Path-B ritual skill — GTD weekly-review loop preserved + deterministic scanner\u002Fgate\u002Fauditor scripts added\"\n  distinct_from: \"reflect (per-conversation reflection, not a recurring cadence); capture (intake that feeds the system, not the review that maintains it); project-management sprint retros (team ceremony, not a personal trusted-system audit)\"\n---\n\n# Weekly Review — GTD Loop → Trusted System\n\n> **Portability:** Reasoning-led skill with 3 stdlib Python scripts. No external APIs, no LLM calls\n> in scripts. Works in Claude Code CLI and Claude.ai web. The scripts do the inventory and the\n> gating; Claude and the user do the thinking.\n\n## What this does\n\nA personal system is only trustworthy if it gets reviewed — David Allen calls the weekly review\nthe critical success factor of the whole method. This skill walks the three phases in order and\nrefuses to call the review COMPLETE while any of the five mandatory GET CURRENT steps is\nunaccounted for. Evidence first: scan the workspace for open loops before asking the user to\nrecall anything, because their memory is exactly what the method says not to trust.\n\n## Phase 1 — GET CLEAR (steps 1-3)\n\nCollect loose inputs, process every inbox to zero (clarify, don't do — anything over two minutes\nbecomes a next action), then a mind sweep to empty the head. Start with evidence:\n\n```bash\n# Inventory open loops: unchecked checkboxes, TODO\u002FFIXME markers, stale files\npython scripts\u002Fopen_loop_scanner.py --dir ~\u002Fnotes --stale-days 14\n```\n\nRoute every loop found to a list — next action, waiting-for, someday\u002Fmaybe, or trash.\n\n## Phase 2 — GET CURRENT (steps 4-8, all mandatory)\n\nReview the next-action lists (mark done, prune dead), the previous calendar (missed commitments\nbecome actions), the upcoming calendar (prepare, don't react), the waiting-for list (chase or\ndrop), and every project for exactly one next action. Then gate honestly:\n\n```bash\npython scripts\u002Fweekly_review_gate.py --list   # show the numbered ten-step checklist\npython scripts\u002Fweekly_review_gate.py --done \"1,2,3,4,5,6,7,8\" --skip \"9:no someday list yet\"\n```\n\nThe gate computes completion %, names every missing step, and exits 0 (COMPLETE) or 2\n(INCOMPLETE). An unskipped missing GET CURRENT step **always** forces INCOMPLETE.\n\n## Phase 3 — GET CREATIVE (steps 9-10)\n\nReview someday\u002Fmaybe (activate, keep, or kill), capture new ideas while the head is clear, then\naudit the whole commitment portfolio:\n\n```bash\npython scripts\u002Fcommitment_auditor.py --input commitments.json\n```\n\nFlags STALLED \u002F NO-NEXT-ACTION \u002F SOMEDAY-CANDIDATE, prints the health formula with the score, and\nissues HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. End the review with one named next action.\n\n## Scripts\n\n| Script | Role |\n|---|---|\n| `scripts\u002Fopen_loop_scanner.py` | Inventories unchecked checkboxes, TODO\u002FFIXME markers, and stale files across a directory; grouped counts + per-file locations; `--json`. |\n| `scripts\u002Fweekly_review_gate.py` | The ten-step three-phase checklist; `--done`\u002F`--skip`\u002F`--list`; completion % + named gaps → COMPLETE (exit 0) \u002F INCOMPLETE (exit 2). |\n| `scripts\u002Fcommitment_auditor.py` | Flags stalled and actionless commitments, computes the 0-100 health score with the formula shown → HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. |\n\n## References\n\n- [`references\u002Fgtd_weekly_review_canon.md`](references\u002Fgtd_weekly_review_canon.md) — why the weekly review is the critical success factor; the three-phase structure; cadence discipline (7 sources)\n- [`references\u002Fopen_loop_psychology.md`](references\u002Fopen_loop_psychology.md) — Zeigarnik effect, plan-making research, attention residue: why open loops tax attention (6 sources)\n- [`references\u002Freview_cadence_design.md`](references\u002Freview_cadence_design.md) — horizons of focus, habit anchoring, timeboxing, failure modes, restart-after-lapse (7 sources)\n\n## Assets\n\n- [`assets\u002Fweekly_review_checklist.md`](assets\u002Fweekly_review_checklist.md) — fillable three-phase checklist\n- [`assets\u002Fexample_weekly_review.md`](assets\u002Fexample_weekly_review.md) — a full worked review (scan → checklist → gate → audit → next action)\n\n## Rules\n\n- All five GET CURRENT steps are mandatory; skip only with a stated reason, and the gate still names it.\n- Never self-certify — the gate issues the verdict; relay its exit code, don't soften it.\n- Process, don't do: during the review, anything over two minutes becomes a next action, not a detour.\n- Timebox 60-90 minutes; past two hours, gate what's done honestly and schedule the remainder.\n- A lapsed habit restarts with a shorter pass and zero guilt — a review is maintenance, not judgment.\n\n## Distinct From (don't reach for the wrong sibling)\n\n- **`productivity\u002Freflect`** — reflects on one conversation or piece of work, once. The weekly review is a recurring cadence over the whole system.\n- **`productivity\u002Fcapture`** — the intake funnel (brain dump → actions). Capture feeds the system; this review keeps it trusted.\n- **`project-management` sprint retros** — a team ceremony about a shared iteration. This is a personal trusted-system audit.\n\n---\n\n**Version:** 1.0.0 · **Build pattern:** Path-B ritual skill — GTD weekly-review loop preserved + deterministic gate\u002Fscanner\u002Fauditor scripts added.\n","# Weekly Review — GTD Loop → Trusted System\n\n> **Portability:** Reasoning-led skill with 3 stdlib Python scripts. No external APIs, no LLM calls\n> in scripts. Works in Claude Code CLI and Claude.ai web. The scripts do the inventory and the\n> gating; Claude and the user do the thinking.\n\n## What this does\n\nA personal system is only trustworthy if it gets reviewed — David Allen calls the weekly review\nthe critical success factor of the whole method. This skill walks the three phases in order and\nrefuses to call the review COMPLETE while any of the five mandatory GET CURRENT steps is\nunaccounted for. Evidence first: scan the workspace for open loops before asking the user to\nrecall anything, because their memory is exactly what the method says not to trust.\n\n## Phase 1 — GET CLEAR (steps 1-3)\n\nCollect loose inputs, process every inbox to zero (clarify, don't do — anything over two minutes\nbecomes a next action), then a mind sweep to empty the head. Start with evidence:\n\n```bash\n# Inventory open loops: unchecked checkboxes, TODO\u002FFIXME markers, stale files\npython scripts\u002Fopen_loop_scanner.py --dir ~\u002Fnotes --stale-days 14\n```\n\nRoute every loop found to a list — next action, waiting-for, someday\u002Fmaybe, or trash.\n\n## Phase 2 — GET CURRENT (steps 4-8, all mandatory)\n\nReview the next-action lists (mark done, prune dead), the previous calendar (missed commitments\nbecome actions), the upcoming calendar (prepare, don't react), the waiting-for list (chase or\ndrop), and every project for exactly one next action. Then gate honestly:\n\n```bash\npython scripts\u002Fweekly_review_gate.py --list   # show the numbered ten-step checklist\npython scripts\u002Fweekly_review_gate.py --done \"1,2,3,4,5,6,7,8\" --skip \"9:no someday list yet\"\n```\n\nThe gate computes completion %, names every missing step, and exits 0 (COMPLETE) or 2\n(INCOMPLETE). An unskipped missing GET CURRENT step **always** forces INCOMPLETE.\n\n## Phase 3 — GET CREATIVE (steps 9-10)\n\nReview someday\u002Fmaybe (activate, keep, or kill), capture new ideas while the head is clear, then\naudit the whole commitment portfolio:\n\n```bash\npython scripts\u002Fcommitment_auditor.py --input commitments.json\n```\n\nFlags STALLED \u002F NO-NEXT-ACTION \u002F SOMEDAY-CANDIDATE, prints the health formula with the score, and\nissues HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. End the review with one named next action.\n\n## Scripts\n\n| Script | Role |\n|---|---|\n| `scripts\u002Fopen_loop_scanner.py` | Inventories unchecked checkboxes, TODO\u002FFIXME markers, and stale files across a directory; grouped counts + per-file locations; `--json`. |\n| `scripts\u002Fweekly_review_gate.py` | The ten-step three-phase checklist; `--done`\u002F`--skip`\u002F`--list`; completion % + named gaps → COMPLETE (exit 0) \u002F INCOMPLETE (exit 2). |\n| `scripts\u002Fcommitment_auditor.py` | Flags stalled and actionless commitments, computes the 0-100 health score with the formula shown → HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. |\n\n## References\n\n- [`references\u002Fgtd_weekly_review_canon.md`](references\u002Fgtd_weekly_review_canon.md) — why the weekly review is the critical success factor; the three-phase structure; cadence discipline (7 sources)\n- [`references\u002Fopen_loop_psychology.md`](references\u002Fopen_loop_psychology.md) — Zeigarnik effect, plan-making research, attention residue: why open loops tax attention (6 sources)\n- [`references\u002Freview_cadence_design.md`](references\u002Freview_cadence_design.md) — horizons of focus, habit anchoring, timeboxing, failure modes, restart-after-lapse (7 sources)\n\n## Assets\n\n- [`assets\u002Fweekly_review_checklist.md`](assets\u002Fweekly_review_checklist.md) — fillable three-phase checklist\n- [`assets\u002Fexample_weekly_review.md`](assets\u002Fexample_weekly_review.md) — a full worked review (scan → checklist → gate → audit → next action)\n\n## Rules\n\n- All five GET CURRENT steps are mandatory; skip only with a stated reason, and the gate still names it.\n- Never self-certify — the gate issues the verdict; relay its exit code, don't soften it.\n- Process, don't do: during the review, anything over two minutes becomes a next action, not a detour.\n- Timebox 60-90 minutes; past two hours, gate what's done honestly and schedule the remainder.\n- A lapsed habit restarts with a shorter pass and zero guilt — a review is maintenance, not judgment.\n\n## Distinct From (don't reach for the wrong sibling)\n\n- **`productivity\u002Freflect`** — reflects on one conversation or piece of work, once. The weekly review is a recurring cadence over the whole system.\n- **`productivity\u002Fcapture`** — the intake funnel (brain dump → actions). Capture feeds the system; this review keeps it trusted.\n- **`project-management` sprint retros** — a team ceremony about a shared iteration. This is a personal trusted-system audit.\n\n---\n\n**Version:** 1.0.0 · **Build pattern:** Path-B ritual skill — GTD weekly-review loop preserved + deterministic gate\u002Fscanner\u002Fauditor scripts added.\n",{"name":5,"license":15,"metadata":24,"description":7,"argument-hint":28},{"version":25,"build_pattern":26,"distinct_from":27},"1.0.0","Path-B ritual skill — GTD weekly-review loop preserved + deterministic scanner\u002Fgate\u002Fauditor scripts added","reflect (per-conversation reflection, not a recurring cadence); capture (intake that feeds the system, not the review that maintains it); project-management sprint retros (team ceremony, not a personal trusted-system audit)","[optional: directory or notes to review]","main","46d43f3edecde97283ac410e9051444d90120cfb","repos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review","https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo","https:\u002F\u002Fgithub.com\u002Fazhri1990","2026-10-10 07:58:58",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add azhri1990\u002Fjarvis-mega-repo --skill weekly-review",{"tool":41,"command":42},"bunx","bunx skills add azhri1990\u002Fjarvis-mega-repo --skill weekly-review",{"tool":44,"command":45},"pnpm","pnpm dlx skills add azhri1990\u002Fjarvis-mega-repo --skill weekly-review","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002FSKILL.md",true,[49,55,59,65,69,73,79,83],{"path":50,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":53,"sourceHtmlUrl":54},"assets\u002Fexample_weekly_review.md","ASSET","资产文件",4163,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Fassets\u002Fexample_weekly_review.md",{"path":56,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":57,"sourceHtmlUrl":58},"assets\u002Fweekly_review_checklist.md",2503,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Fassets\u002Fweekly_review_checklist.md",{"path":60,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":63,"sourceHtmlUrl":64},"references\u002Fgtd_weekly_review_canon.md","REFERENCE","参考文档",6384,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Freferences\u002Fgtd_weekly_review_canon.md",{"path":66,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":67,"sourceHtmlUrl":68},"references\u002Fopen_loop_psychology.md",6185,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Freferences\u002Fopen_loop_psychology.md",{"path":70,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":71,"sourceHtmlUrl":72},"references\u002Freview_cadence_design.md",6398,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Freferences\u002Freview_cadence_design.md",{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"scripts\u002Fcommitment_auditor.py","SCRIPT","脚本",7475,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Fscripts\u002Fcommitment_auditor.py",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"scripts\u002Fopen_loop_scanner.py",7820,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Fscripts\u002Fopen_loop_scanner.py",{"path":84,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":85,"sourceHtmlUrl":86},"scripts\u002Fweekly_review_gate.py",9458,"https:\u002F\u002Fgithub.com\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002F.hermes\u002Fskills\u002Fclaude-skills\u002Fproductivity\u002Fweekly-review\u002Fscripts\u002Fweekly_review_gate.py",[88,95,102,109,116,123],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":19},"01M7CYPF9V9EMA4ZXS1TTCMBFH","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\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[],[],{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":19},"01M7CYNRJDTQCRF5KGPMBMSB1S","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\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[],[],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":19},"01M7CYNAVSE84QD7HAWZWTY2FS","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\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[],[],{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":19},"01M7CYN0CE8P5ZN7WV2X06HKPC","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\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[],[],{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":19},"01M7CYMHZ3QRJ9BKRB859KW8TQ","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\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[],[],{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":19},"01M7CYM3D8YKV7R6DT4RNJSF0A","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\u002Fazhri1990\u002Fjarvis-mega-repo\u002Fblob\u002Fmain\u002Frepos\u002Fproject-genesis\u002Fclaude-skills\u002Fresearch\u002Fgrants\u002Fskills\u002Fgrants\u002FSKILL.md",[],[]]