LLM Wiki
Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings. Ingest sources into linked Markdown, answer questions with citations, lint or upgrade a wiki, and preserve useful synthesis across sessions and agents. Also capture verified task experience, consolidate success/failure patterns, and propose, evaluate, apply or roll back evidence-linked skill improvements. Trigger on "add this to my wiki", "what does the wiki say", "learn from this task", "improve this procedure", /wiki:learn or /wiki:evolve. Works on a local folder or a hosted wiki
Install
npx skills add praneybehl/llm-wiki-plugin --skill llm-wikigit clone --depth 1 https://github.com/praneybehl/llm-wiki-plugin.git /tmp/llm-wiki-plugin
mkdir -p ~/.claude/skills
cp -r /tmp/llm-wiki-plugin/skills/llm-wiki ~/.claude/skills/llm-wikiPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# LLM Wiki A skill for building and maintaining an LLM-curated knowledge base at any user-chosen filesystem location, following the pattern Andrej Karpathy described in his April 2026 gist. One personal wiki can compound knowledge across projects, or a wiki can be isolated inside one project. The user curates sources and asks questions; the LLM does the bookkeeping. ## The pattern in one paragraph Conventional RAG re-derives knowledge from raw chunks on every query; nothing accumulates. The LLM Wiki pattern flips this: when a new source arrives, the LLM compiles it once into a persistent, structured wiki: extracting concepts, writing entity pages, updating cross-references, flagging contradictions. Subsequent queries read the pre-synthesized wiki rather than the raw sources. Knowledge compounds. The user is in charge of sourcing and asking good questions; the LLM handles the summarizing, linking, and consistency work that humans abandon wikis over. ## When to use this skill
Details
- Skill name
llm-wiki- Repository
- praneybehl/llm-wiki-plugin
- Path
skills/llm-wiki/SKILL.md- License
- MIT
- Repo updated
- 29 October 2026
FAQ
What does the LLM Wiki skill do?
Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings. Ingest sources into linked Markdown, answer questions with citations, lint or upgrade a wiki, and preserve useful synthesis across sessions and agents. Also capture verified task experience, consolidate success/failure patterns, and propose, evaluate, apply or roll back evidence-linked skill improvements. Trigger on "add this to my wiki", "what does the wiki say", "learn from this task", "improve this procedure", /wiki:learn or /wiki:evolve. Works on a local folder or a hosted wiki
How do I install the LLM Wiki skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add praneybehl/llm-wiki-plugin --skill llm-wiki. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is LLM Wiki popular?
It lives in praneybehl/llm-wiki-plugin, which has 123 GitHub stars and 17 forks, and is included in 2 curated skill lists.
Related skills
Mcd Party Officer
244yzg1226/mcd-party-officer
麦当劳门店派对/包场/拼团的选址、成团调度与筹备助手。当用户想办生日派对、亲子派对、主题派对、品鉴会、读书会、麦麦体验营，或说「麦当劳派对」「派对拼团」「包场」「生日会怎么办」「哪家店能办派对」「还差几个人成团」「包场还是拼团划算」「帮我写拼团招募文案」「做一张派对邀请函」「孩子派对吃什么不超标」时使用。基于麦当劳官方 MCP（mcp.mcd.cn）的 party 系列工具：扫描全城场次、估算成团概率、对比包场与拼团成本、按官方营销活动日历挑最佳日期、审查儿童餐营养、生成招募卡与邀请函。
Ancient Rap Battle
19110291124jcjc-dotcom/ancient-rap-battle
古人说唱 Battle：把两个历史上的死对头（诸葛亮 vs 司马懿、岳飞 vs 秦桧……）做成一条 AI 说唱对决短视频，从选题写词（每句配史料注释）、Suno 做歌、Midjourney 定妆、即梦 Seedance 2.5 网页版分段生成（提示词按半句精确到 0.01 秒写歌词，口型一次对好），到自动逐镜头对齐、拼接、字幕包装、封面和发布文案一条龙。用户说"做一期 A vs B"、"古人说唱 battle"、"历史人物说唱"、"rap battle 视频"，或者要改已有一期的歌词、镜头、字幕、封面时使用。Make an AI rap-battle short between two historical rivals, end to end, with Seedance 2.5 (or MiniMax H3).
Skill Sublation
279Sven-Mirana/sublation
技能扬弃 Sublation V5.0 完整版。把执行经验沉淀为观测、候选、验证、多 Agent 协作面板、默认关闭的受控唤醒意图、Skill 分类与 shadow 精准建议、用户批准、晋升和观察窗的可审计治理链路；仅在用户明确说出 sublation 或扬弃技能时触发。
Humanizer Ru
200smixs/humanizer-ru
Редактор русского текста - убирает признаки AI-генерации, канцелярит и воду, сохраняя факты и добавляя голос. 38 паттернов AI-слопа с жёсткими запретами (негативные параллелизмы, длинное тире, математические знаки, техножаргон), детерминированным линтером и детектом артефактов копипаста из чат-ботов. Use when пользователь просит "отредактируй", "убери воду", "сделай живым", "humanize", "очисти от AI", "перепиши человечнее", говорит что текст "звучит как нейросеть", готовит AI-черновик к публикации, или спрашивает "это писала нейросеть?", "проверь на AI", "палится ли текст" (detect-режим - ауди
Agentii Investment Intelligence
210agentii-ai/agentii-investment-intelligence
Institutional-grade equity research skills for AI agents. 80 Claude-type skills across 14 verticals (equity-research-core, models-and-pitches, bio-pharm, scenarios, quantitative-analysis, idea-generation, options-derivatives, business-intelligence, industry-analysis, macro-strategy, portfolio-strategy, technical-analysis, risk-and-psychology, trading-as-business) powered by agentii.ai's agent-use-ready SEC filing data plane — SEC filings and 15K+ earnings call transcripts, 15.99M XBRL facts, and company profiles for 1,146+ US-public-equity tickers. Features the three-layer retrieval protocol (
Geo First Principles
302ALLENLION35/geo-first-principles
GEO第一性原理。当企业负责人问"我们要不要做GEO""AI里搜不到我们值不值得投入""GEO从哪一步开始"时使用。从行业竞争、增长来源与客户购买推导GEO是否适合、价值在哪里、怎样投入，默认交付完整易读的单页 HTML 经营报告：六部分各有核心金句、五个自测问题，并以GEO十步路线收口。不自动实测、不模拟AI回答、不承诺排名。维护本Skill时不启动企业诊断。
Browse the most popular Claude skills, all ai, llms & agents skills, or write your own with the skills generator.