[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C1MPJQB1XWRB29SNHC29MM":3,"skill-same:01M6C1MPJQB1XWRB29SNHC29MM":252},{"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":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":58,"commitSha":59,"skillDirectory":60,"forksCount":13,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":63,"install":64,"resources":77},"01M6C1MPJQB1XWRB29SNHC29MM","llm-wiki",null,"Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity\u002Fconcept pages, maintains cross-references, and keeps a synthesis current. Triggers include \"second brain\", \"Obsidian wiki\", \"personal knowledge management\", \"ingest this paper\u002Farticle\u002Fbook\", \"build a research wiki\", \"compound knowledge\", \"Memex\", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.","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\u002Fengineering\u002Fllm-wiki\u002Fskills\u002Fllm-wiki\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"llm wiki","wiki","knowledge","rag-alternative","pkm","second-brain","karpathy","use","knowledge-management","cursor","management","cli","code","rag","sessions","research","codex","antigravity","obsidian","gemini","2026-11-10 10:12:30",false,"---\nname: llm-wiki\ndescription: Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity\u002Fconcept pages, maintains cross-references, and keeps a synthesis current. Triggers include \"second brain\", \"Obsidian wiki\", \"personal knowledge management\", \"ingest this paper\u002Farticle\u002Fbook\", \"build a research wiki\", \"compound knowledge\", \"Memex\", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.\ncontext: fork\nversion: 2.9.0\nauthor: claude-code-skills\nlicense: MIT\ntags: [knowledge-management, obsidian, second-brain, pkm, rag-alternative, wiki, karpathy, memex]\ncompatible_tools: [claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli]\n---\n\n# LLM Wiki — Second Brain for Claude Code + Obsidian\n\nInspired by Andrej Karpathy's LLM Wiki pattern ([gist](https:\u002F\u002Fgist.github.com\u002Fkarpathy\u002F442a6bf555914893e9891c11519de94f)). This skill turns Claude Code (or any agent CLI) into a disciplined wiki maintainer that **incrementally builds and maintains** a persistent, interlinked Obsidian vault as you feed it sources. The knowledge compounds — cross-references, contradictions, and synthesis are already there when you query.\n\n## Core principle\n\nMost LLM+docs workflows are **RAG**: retrieve fragments at query time, synthesize from scratch, forget. The wiki is **compounding**: sources are read once, integrated into a persistent markdown knowledge base, and kept current. You curate and ask; the LLM reads, files, cross-references, and maintains.\n\n> Obsidian is the IDE. The LLM is the programmer. The wiki is the codebase.\n\n## When to use\n\n- **Personal**: track goals, health, psychology, journaling, self-improvement\n- **Research**: deep dives over weeks on a topic — papers, articles, reports, evolving thesis\n- **Book companion**: file chapters as you read; build a fan-wiki-style companion for characters, themes, plot threads\n- **Business\u002Fteam**: internal wiki fed by Slack, meeting notes, calls — LLM does maintenance nobody else wants to do\n- **Competitive analysis, due diligence, trip planning, course notes, hobby deep-dives**\n\n**Do NOT use when:** you need one-shot Q&A over a fixed document (use RAG), you don't plan to add sources over time, or you don't want Obsidian in the loop.\n\n## Architecture (three layers)\n\n```\nvault\u002F\n├── raw\u002F                    # Layer 1 — IMMUTABLE source of truth\n│   ├── \u003Csource files>      # Articles, papers, PDFs, images, data\n│   └── assets\u002F             # Downloaded images from clipped articles\n├── wiki\u002F                   # Layer 2 — LLM-owned knowledge base\n│   ├── index.md            # Content catalog (LLM updates every ingest)\n│   ├── log.md              # Append-only timeline (## [YYYY-MM-DD] \u003Cop> | \u003Ctitle>)\n│   ├── entities\u002F           # Person\u002FOrg\u002FPlace pages\n│   ├── concepts\u002F           # Ideas, theories, frameworks\n│   ├── sources\u002F            # One summary page per ingested source\n│   ├── comparisons\u002F        # Cross-source analysis pages\n│   └── synthesis\u002F          # High-level syntheses, theses, overviews\n├── CLAUDE.md               # Schema + conventions (Claude Code)\n└── AGENTS.md               # Same content, for Codex\u002FCursor\u002FAntigravity\n```\n\n- **Layer 1 (raw\u002F)** — you own. LLM only reads; never writes.\n- **Layer 2 (wiki\u002F)** — LLM owns. It creates, updates, and cross-references pages. You read it.\n- **Layer 3 (CLAUDE.md \u002F AGENTS.md)** — the *schema*. Conventions, workflows, frontmatter rules. Co-evolved by you and the LLM.\n\n## Three core operations\n\n1. **Ingest** — LLM reads a source, discusses takeaways with you, writes a source summary, updates 10-15 relevant pages, updates index, appends to log. See `references\u002Fingest-workflow.md`.\n2. **Query** — LLM reads `index.md` first, drills into relevant pages, synthesizes with citations. Good answers get **filed back into the wiki** so explorations compound. See `references\u002Fquery-workflow.md`.\n3. **Lint** — Health check: contradictions, stale claims, orphan pages, missing cross-refs, concepts mentioned but lacking their own page, data gaps to fill with web search. See `references\u002Flint-workflow.md`.\n\n## Quick start\n\n```bash\n# 1. Initialize a vault (in Obsidian's vault directory)\npython scripts\u002Finit_vault.py --path ~\u002Fvaults\u002Fresearch --topic \"LLM interpretability\"\n\n# 2. Drop a source into raw\u002F, then ingest\n\u002Fwiki-ingest ~\u002Fvaults\u002Fresearch\u002Fraw\u002Fanthropic-monosemanticity.pdf\n\n# 3. Ask questions (answers can be re-filed into the wiki)\n\u002Fwiki-query \"how does monosemanticity compare to mechanistic interpretability?\"\n\n# 4. Periodic health check\n\u002Fwiki-lint\n\n# 5. See the timeline\n\u002Fwiki-log --last 10\n```\n\n## Slash commands (this plugin ships)\n\n| Command | Purpose |\n|---|---|\n| `\u002Fwiki-init` | Bootstrap a fresh vault with schema files + starter structure |\n| `\u002Fwiki-ingest \u003Cpath>` | Read a source, discuss, update wiki, log it |\n| `\u002Fwiki-query \u003Cquestion>` | Search wiki, synthesize answer, offer to file back |\n| `\u002Fwiki-lint` | Run health check — contradictions, orphans, stale claims, gaps |\n| `\u002Fwiki-log` | Show recent log entries (uses unix tools on `log.md`) |\n\n## Sub-agents (this plugin ships)\n\n| Agent | When dispatched |\n|---|---|\n| `wiki-ingestor` | Delegated ingest flow — reads source, proposes updates, applies after your approval |\n| `wiki-linter` | Runs the health-check workflow independently, reports findings |\n| `wiki-librarian` | Answers queries using index-first search, synthesizes with citations |\n\n## Python tools (`scripts\u002F`)\n\nAll tools are **standard library only** (no pip installs). Run with `python scripts\u002F\u003Ctool>.py --help`.\n\n| Script | Purpose |\n|---|---|\n| `init_vault.py` | Create folder structure + seed CLAUDE.md, AGENTS.md, index.md, log.md |\n| `ingest_source.py` | Helper: extract text\u002Ffrontmatter from a source file, ready for LLM review |\n| `update_index.py` | Regenerate `index.md` from wiki page frontmatter (category, date, source count) |\n| `append_log.py` | Append a standardized log entry `## [YYYY-MM-DD] \u003Cop> \\| \u003Ctitle>` |\n| `wiki_search.py` | BM25 search over wiki pages (standalone fallback when index.md isn't enough) |\n| `lint_wiki.py` | Find orphans (no inbound links), stale pages, missing cross-refs, broken links |\n| `graph_analyzer.py` | Compute link graph stats — hubs, orphans, clusters, disconnected components |\n| `export_marp.py` | Render a wiki page (or subtree) to a Marp slide deck |\n\n## Cross-tool compatibility\n\nThe vault's **schema** lives in CLAUDE.md (Claude Code) or AGENTS.md (Codex\u002FCursor\u002FAntigravity\u002FOpenCode). The same content works in both. This plugin ships both templates. For per-tool setup instructions see `references\u002Fcross-tool-setup.md`.\n\n```\nCLAUDE.md       → Claude Code\nAGENTS.md       → Codex CLI, Cursor, Antigravity, OpenCode, Gemini CLI\n.cursorrules    → legacy Cursor (pre-AGENTS.md)\n```\n\nThe scripts are pure Python stdlib → run identically everywhere. Only the loader file changes per tool.\n\n## Obsidian setup (recommended)\n\n- **Obsidian Web Clipper** — browser extension; converts web articles to markdown and drops them in `raw\u002F`\n- **Download images locally** — Settings → Files and links → Attachment folder path = `raw\u002Fassets\u002F`. Settings → Hotkeys → bind \"Download attachments for current file\" to `Ctrl+Shift+D`\n- **Graph view** — see hubs\u002Forphans; essential for spotting structural problems\n- **Marp plugin** — Markdown-based slide decks directly from wiki pages\n- **Dataview plugin** — dynamic tables\u002Flists over page frontmatter (tags, dates, source counts)\n- **Git** — the vault is a plain markdown repo; version it\n\nFull setup walkthrough: `references\u002Fobsidian-setup.md`\n\n## Why this works (vs plain RAG)\n\n| Plain RAG | LLM Wiki |\n|---|---|\n| Rediscover knowledge each query | Knowledge accumulates |\n| Cross-references re-computed every time | Cross-references pre-written and maintained |\n| Contradictions surface only if you ask | Contradictions flagged during ingest |\n| Exploration disappears into chat history | Good answers re-filed as new pages |\n| Scales by embeddings infrastructure | Scales by markdown + `index.md` + optional local search |\n\nAt ~100 sources \u002F hundreds of pages, `index.md` + filesystem search is enough. Past that, layer in a local search tool like [qmd](https:\u002F\u002Fgithub.com\u002Ftobi\u002Fqmd) or use `scripts\u002Fwiki_search.py`.\n\n## Related skills (chains via `context: fork`)\n\nThis skill is marked `context: fork` so other skills can chain into it:\n\n- **`para-memory-files`** — PARA-method memory; complementary as long-term personal memory that feeds sources into the wiki\n- **`obsidian-vault`** (mattpocock) — lightweight Obsidian note helper; this skill is the maintained-wiki layer on top\n- **`rag-design`** — when wiki outgrows ~500 pages, use rag-design to bolt on a retrieval layer\n- **`mcp-design`** — expose the wiki as an MCP tool\n- **`agent-communication`** — for multi-agent wiki maintenance (ingestor + linter + librarian)\n\n## Reference docs\n\n- `references\u002Fwiki-schema.md` — full vault layout, page frontmatter, naming conventions\n- `references\u002Fpage-formats.md` — entity, concept, source, comparison, synthesis templates\n- `references\u002Fingest-workflow.md` — the detailed ingest flow the wiki-ingestor agent follows\n- `references\u002Fquery-workflow.md` — query patterns, citation format, re-filing answers\n- `references\u002Flint-workflow.md` — health-check heuristics\n- `references\u002Fobsidian-setup.md` — Obsidian plugins, hotkeys, vault config\n- `references\u002Fcross-tool-setup.md` — per-tool setup (Codex, Cursor, Antigravity, etc.)\n- `references\u002Fmemex-principles.md` — Bush's Memex, why the LLM changes the maintenance math\n\n## Templates (`assets\u002F`)\n\n- `CLAUDE.md.template`, `AGENTS.md.template`, `.cursorrules.template` — schema loaders per tool\n- `index.md.template`, `log.md.template` — starter index and log\n- `page-templates\u002F` — entity, concept, source-summary, comparison, synthesis\n- `example-vault\u002F` — small worked example you can study or copy\n\n## Iron rule\n\n**The LLM never edits files in `raw\u002F`.** Ever. Sources are immutable. All LLM writes go to `wiki\u002F`. If you need to correct a source, do it in `raw\u002F` yourself — then re-ingest.\n","# LLM Wiki — Second Brain for Claude Code + Obsidian\n\nInspired by Andrej Karpathy's LLM Wiki pattern ([gist](https:\u002F\u002Fgist.github.com\u002Fkarpathy\u002F442a6bf555914893e9891c11519de94f)). This skill turns Claude Code (or any agent CLI) into a disciplined wiki maintainer that **incrementally builds and maintains** a persistent, interlinked Obsidian vault as you feed it sources. The knowledge compounds — cross-references, contradictions, and synthesis are already there when you query.\n\n## Core principle\n\nMost LLM+docs workflows are **RAG**: retrieve fragments at query time, synthesize from scratch, forget. The wiki is **compounding**: sources are read once, integrated into a persistent markdown knowledge base, and kept current. You curate and ask; the LLM reads, files, cross-references, and maintains.\n\n> Obsidian is the IDE. The LLM is the programmer. The wiki is the codebase.\n\n## When to use\n\n- **Personal**: track goals, health, psychology, journaling, self-improvement\n- **Research**: deep dives over weeks on a topic — papers, articles, reports, evolving thesis\n- **Book companion**: file chapters as you read; build a fan-wiki-style companion for characters, themes, plot threads\n- **Business\u002Fteam**: internal wiki fed by Slack, meeting notes, calls — LLM does maintenance nobody else wants to do\n- **Competitive analysis, due diligence, trip planning, course notes, hobby deep-dives**\n\n**Do NOT use when:** you need one-shot Q&A over a fixed document (use RAG), you don't plan to add sources over time, or you don't want Obsidian in the loop.\n\n## Architecture (three layers)\n\n```\nvault\u002F\n├── raw\u002F                    # Layer 1 — IMMUTABLE source of truth\n│   ├── \u003Csource files>      # Articles, papers, PDFs, images, data\n│   └── assets\u002F             # Downloaded images from clipped articles\n├── wiki\u002F                   # Layer 2 — LLM-owned knowledge base\n│   ├── index.md            # Content catalog (LLM updates every ingest)\n│   ├── log.md              # Append-only timeline (## [YYYY-MM-DD] \u003Cop> | \u003Ctitle>)\n│   ├── entities\u002F           # Person\u002FOrg\u002FPlace pages\n│   ├── concepts\u002F           # Ideas, theories, frameworks\n│   ├── sources\u002F            # One summary page per ingested source\n│   ├── comparisons\u002F        # Cross-source analysis pages\n│   └── synthesis\u002F          # High-level syntheses, theses, overviews\n├── CLAUDE.md               # Schema + conventions (Claude Code)\n└── AGENTS.md               # Same content, for Codex\u002FCursor\u002FAntigravity\n```\n\n- **Layer 1 (raw\u002F)** — you own. LLM only reads; never writes.\n- **Layer 2 (wiki\u002F)** — LLM owns. It creates, updates, and cross-references pages. You read it.\n- **Layer 3 (CLAUDE.md \u002F AGENTS.md)** — the *schema*. Conventions, workflows, frontmatter rules. Co-evolved by you and the LLM.\n\n## Three core operations\n\n1. **Ingest** — LLM reads a source, discusses takeaways with you, writes a source summary, updates 10-15 relevant pages, updates index, appends to log. See `references\u002Fingest-workflow.md`.\n2. **Query** — LLM reads `index.md` first, drills into relevant pages, synthesizes with citations. Good answers get **filed back into the wiki** so explorations compound. See `references\u002Fquery-workflow.md`.\n3. **Lint** — Health check: contradictions, stale claims, orphan pages, missing cross-refs, concepts mentioned but lacking their own page, data gaps to fill with web search. See `references\u002Flint-workflow.md`.\n\n## Quick start\n\n```bash\n# 1. Initialize a vault (in Obsidian's vault directory)\npython scripts\u002Finit_vault.py --path ~\u002Fvaults\u002Fresearch --topic \"LLM interpretability\"\n\n# 2. Drop a source into raw\u002F, then ingest\n\u002Fwiki-ingest ~\u002Fvaults\u002Fresearch\u002Fraw\u002Fanthropic-monosemanticity.pdf\n\n# 3. Ask questions (answers can be re-filed into the wiki)\n\u002Fwiki-query \"how does monosemanticity compare to mechanistic interpretability?\"\n\n# 4. Periodic health check\n\u002Fwiki-lint\n\n# 5. See the timeline\n\u002Fwiki-log --last 10\n```\n\n## Slash commands (this plugin ships)\n\n| Command | Purpose |\n|---|---|\n| `\u002Fwiki-init` | Bootstrap a fresh vault with schema files + starter structure |\n| `\u002Fwiki-ingest \u003Cpath>` | Read a source, discuss, update wiki, log it |\n| `\u002Fwiki-query \u003Cquestion>` | Search wiki, synthesize answer, offer to file back |\n| `\u002Fwiki-lint` | Run health check — contradictions, orphans, stale claims, gaps |\n| `\u002Fwiki-log` | Show recent log entries (uses unix tools on `log.md`) |\n\n## Sub-agents (this plugin ships)\n\n| Agent | When dispatched |\n|---|---|\n| `wiki-ingestor` | Delegated ingest flow — reads source, proposes updates, applies after your approval |\n| `wiki-linter` | Runs the health-check workflow independently, reports findings |\n| `wiki-librarian` | Answers queries using index-first search, synthesizes with citations |\n\n## Python tools (`scripts\u002F`)\n\nAll tools are **standard library only** (no pip installs). Run with `python scripts\u002F\u003Ctool>.py --help`.\n\n| Script | Purpose |\n|---|---|\n| `init_vault.py` | Create folder structure + seed CLAUDE.md, AGENTS.md, index.md, log.md |\n| `ingest_source.py` | Helper: extract text\u002Ffrontmatter from a source file, ready for LLM review |\n| `update_index.py` | Regenerate `index.md` from wiki page frontmatter (category, date, source count) |\n| `append_log.py` | Append a standardized log entry `## [YYYY-MM-DD] \u003Cop> \\| \u003Ctitle>` |\n| `wiki_search.py` | BM25 search over wiki pages (standalone fallback when index.md isn't enough) |\n| `lint_wiki.py` | Find orphans (no inbound links), stale pages, missing cross-refs, broken links |\n| `graph_analyzer.py` | Compute link graph stats — hubs, orphans, clusters, disconnected components |\n| `export_marp.py` | Render a wiki page (or subtree) to a Marp slide deck |\n\n## Cross-tool compatibility\n\nThe vault's **schema** lives in CLAUDE.md (Claude Code) or AGENTS.md (Codex\u002FCursor\u002FAntigravity\u002FOpenCode). The same content works in both. This plugin ships both templates. For per-tool setup instructions see `references\u002Fcross-tool-setup.md`.\n\n```\nCLAUDE.md       → Claude Code\nAGENTS.md       → Codex CLI, Cursor, Antigravity, OpenCode, Gemini CLI\n.cursorrules    → legacy Cursor (pre-AGENTS.md)\n```\n\nThe scripts are pure Python stdlib → run identically everywhere. Only the loader file changes per tool.\n\n## Obsidian setup (recommended)\n\n- **Obsidian Web Clipper** — browser extension; converts web articles to markdown and drops them in `raw\u002F`\n- **Download images locally** — Settings → Files and links → Attachment folder path = `raw\u002Fassets\u002F`. Settings → Hotkeys → bind \"Download attachments for current file\" to `Ctrl+Shift+D`\n- **Graph view** — see hubs\u002Forphans; essential for spotting structural problems\n- **Marp plugin** — Markdown-based slide decks directly from wiki pages\n- **Dataview plugin** — dynamic tables\u002Flists over page frontmatter (tags, dates, source counts)\n- **Git** — the vault is a plain markdown repo; version it\n\nFull setup walkthrough: `references\u002Fobsidian-setup.md`\n\n## Why this works (vs plain RAG)\n\n| Plain RAG | LLM Wiki |\n|---|---|\n| Rediscover knowledge each query | Knowledge accumulates |\n| Cross-references re-computed every time | Cross-references pre-written and maintained |\n| Contradictions surface only if you ask | Contradictions flagged during ingest |\n| Exploration disappears into chat history | Good answers re-filed as new pages |\n| Scales by embeddings infrastructure | Scales by markdown + `index.md` + optional local search |\n\nAt ~100 sources \u002F hundreds of pages, `index.md` + filesystem search is enough. Past that, layer in a local search tool like [qmd](https:\u002F\u002Fgithub.com\u002Ftobi\u002Fqmd) or use `scripts\u002Fwiki_search.py`.\n\n## Related skills (chains via `context: fork`)\n\nThis skill is marked `context: fork` so other skills can chain into it:\n\n- **`para-memory-files`** — PARA-method memory; complementary as long-term personal memory that feeds sources into the wiki\n- **`obsidian-vault`** (mattpocock) — lightweight Obsidian note helper; this skill is the maintained-wiki layer on top\n- **`rag-design`** — when wiki outgrows ~500 pages, use rag-design to bolt on a retrieval layer\n- **`mcp-design`** — expose the wiki as an MCP tool\n- **`agent-communication`** — for multi-agent wiki maintenance (ingestor + linter + librarian)\n\n## Reference docs\n\n- `references\u002Fwiki-schema.md` — full vault layout, page frontmatter, naming conventions\n- `references\u002Fpage-formats.md` — entity, concept, source, comparison, synthesis templates\n- `references\u002Fingest-workflow.md` — the detailed ingest flow the wiki-ingestor agent follows\n- `references\u002Fquery-workflow.md` — query patterns, citation format, re-filing answers\n- `references\u002Flint-workflow.md` — health-check heuristics\n- `references\u002Fobsidian-setup.md` — Obsidian plugins, hotkeys, vault config\n- `references\u002Fcross-tool-setup.md` — per-tool setup (Codex, Cursor, Antigravity, etc.)\n- `references\u002Fmemex-principles.md` — Bush's Memex, why the LLM changes the maintenance math\n\n## Templates (`assets\u002F`)\n\n- `CLAUDE.md.template`, `AGENTS.md.template`, `.cursorrules.template` — schema loaders per tool\n- `index.md.template`, `log.md.template` — starter index and log\n- `page-templates\u002F` — entity, concept, source-summary, comparison, synthesis\n- `example-vault\u002F` — small worked example you can study or copy\n\n## Iron rule\n\n**The LLM never edits files in `raw\u002F`.** Ever. Sources are immutable. All LLM writes go to `wiki\u002F`. 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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",[295,296],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":263,"categoryName":264,"taxonomyType":20,"taxonomyTypeDesc":21},[291,38,298,272,299,274,276,300,301,277,302,303,304,305,282,283,306,284,307,30],"web","sentiment analysis","sentiment","Citations","analysis","discovery","open","tool","twitter","user",{"skillNo":309,"name":310,"nameZh":6,"description":311,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":312,"categories":313,"keywords":319,"publishedAt":43},"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",[314,315,316],{"categoryNo":260,"categoryName":261,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":263,"categoryName":264,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":317,"categoryName":318,"taxonomyType":268,"taxonomyTypeDesc":269},"01JBSEEDCAT000000000000037","律师与法务",[310,271,272,320,321,322,274,275,276,302,323,324,325,283,326,327,328,329,30,330],"competitive landscape","routing","product","commits","Word","text","acquisition","decisions","strategy","coverage","advice",{"skillNo":332,"name":333,"nameZh":6,"description":334,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":335,"categories":336,"keywords":341,"publishedAt":43},"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",[337,340],{"categoryNo":338,"categoryName":339,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":263,"categoryName":264,"taxonomyType":20,"taxonomyTypeDesc":21},[333,342,343,38,344,345,346,347,348,349,350,351,304,325,282,352,353,354,355,30],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","check","ask","environment","overview",{"skillNo":357,"name":358,"nameZh":6,"description":359,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":360,"categories":361,"keywords":366,"publishedAt":43},"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",[362,363,364,365],{"categoryNo":260,"categoryName":261,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":263,"categoryName":264,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":266,"categoryName":267,"taxonomyType":268,"taxonomyTypeDesc":269},[358,271,367,368,369,272,274,275,370,371,372,278,373,324,374,283,285,375,329,30],"MCP","writing","review","lane","keyless","literature review","plan","researcher","question",{"skillNo":377,"name":378,"nameZh":6,"description":379,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":380,"categories":381,"keywords":386,"publishedAt":43},"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",[382,383,384,385],{"categoryNo":260,"categoryName":261,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":263,"categoryName":264,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":266,"categoryName":267,"taxonomyType":268,"taxonomyTypeDesc":269},[378,271,38,272,387,274,275,276,388,389,277,302,324,283,284,285,328,354,30,390],"help","data","Budget","innovation"]