Learning to Learn (OpenMAIC)
THU-MAIC/OpenMAIC
A Chinese-language skill that embeds learning strategies like retrieval practice and self-explanation as a parallel goal inside an OpenMAIC subject lesson, without making study skills the topic.
Extracts what the session learned into prose that stands alone, or reviews existing text through the same distortion lenses.
$ npx skills add lexler/skill-factory --skill extract-knowledge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lexler/skill-factory extract-knowledge --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lexler/skill-factory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/output_skills/ai/extract-knowledge .claude/skills/extract-knowledge && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "extract-knowledge" agent skill from https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledge into .claude/skills/extract-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-knowledge", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledgeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lexler/skill-factory --skill extract-knowledge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lexler/skill-factory extract-knowledge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lexler/skill-factory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/output_skills/ai/extract-knowledge .agents/skills/extract-knowledge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "extract-knowledge" agent skill from https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledge into .agents/skills/extract-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-knowledge", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lexler/skill-factory --skill extract-knowledge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lexler/skill-factory extract-knowledge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lexler/skill-factory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/output_skills/ai/extract-knowledge .cursor/skills/extract-knowledge && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "extract-knowledge" agent skill from https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledge into .cursor/skills/extract-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-knowledge", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lexler/skill-factory.git --path output_skills/ai/extract-knowledge--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lexler/skill-factory --skill extract-knowledge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lexler/skill-factory extract-knowledge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lexler/skill-factory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/output_skills/ai/extract-knowledge .gemini/skills/extract-knowledge && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "extract-knowledge" agent skill from https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledge into .gemini/skills/extract-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-knowledge", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lexler/skill-factory extract-knowledgeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lexler/skill-factory --skill extract-knowledge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lexler/skill-factory.git skills-src && mkdir -p .github/skills && cp -r skills-src/output_skills/ai/extract-knowledge .github/skills/extract-knowledge && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "extract-knowledge" agent skill from https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledge into .github/skills/extract-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-knowledge", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lexler/skill-factory --skill extract-knowledge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lexler/skill-factory extract-knowledge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lexler/skill-factory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/output_skills/ai/extract-knowledge .opencode/skills/extract-knowledge && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "extract-knowledge" agent skill from https://github.com/lexler/skill-factory/tree/main/output_skills/ai/extract-knowledge into .opencode/skills/extract-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-knowledge", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
extract-knowledgeExtracts what the session learned into prose that stands alone, or reviews existing text through the same distortion lenses.
Extract Knowledge is an agent skill from lexler/skill-factory. Extracts what the session learned into prose that stands alone, or reviews existing text through the same distortion lenses.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8017333. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Extract Knowledge loads about 1.4k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 827 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from lexler/skill-factory at commit 8017333, republished under its Apache-2.0 licence (© lexler). 827 words, ~1,352 tokens.
.claude/skills/extract-knowledge/SKILL.md (or your agent's skills folder).STARTER_CHARACTER = 📝
Turn what a session knows into prose that stands alone. The reader is a stranger: they were not in the session and they see only the text. Each lens below defends the stranger against one distortion.
Decide which seat you are in — it changes what you can verify.
Read the argument. A topic means extract that topic. No argument means extract everything important. Existing text or a file path means take the reviewer seat and go straight to the lens gate.
Draft the extraction. Capture what the session learned: decisions with their why, corrections and preferences the user stated, insights discovered, dead ends that cost time, and questions still open. Done when every insight in scope is either in the draft or consciously judged not worth the reader's time.
Run the lens gate below and keep a visible verdict list: a bulleted list, one lens per line — its name, then "clean" or the defect found and fixed. A verdict names a defect caught in the draft; a lens that shaped the draft from the start still reports "clean". A lens without a verdict line was skipped, not passed. Done when the verdict list covers every lens in all three groups.
Output the text in chat, or return it if another agent invoked you. Persistence belongs to the caller: hand over prose, and let the caller decide if and where it becomes a file. The extracted text is the only artifact — the verdict list and any questions to the user are chat output, and stay out of the text however it is saved or passed on.
Look through one lens at a time.
© lexler, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in output_skills/ai/extract-knowledge of lexler/skill-factory.
Open the folder on GitHubat commit 8017333
Extract Knowledge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Extract Knowledge this skilllexler/skill-factory | 239 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Learning to Learn (OpenMAIC)THU-MAIC/OpenMAIC | 40k | — | ~502 | Automated safety check: Pass | MIT | |
| Gsd Extract Learningsopen-gsd/gsd-core | 10k | 2 repos | ~225 | Automated safety check: Notes | MIT | |
| Scikit LearnK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.3k | Automated safety check: Notes | BSD-3-Clause | |
| Project Learnings Managergarrytan/gstack | 136k | — | ~8.2k | Automated safety check: Notes | MIT | |
| Extractalirezarezvani/claude-skills | 28k | — | ~1.4k | Automated safety check: Pass | MIT |
THU-MAIC/OpenMAIC
A Chinese-language skill that embeds learning strategies like retrieval practice and self-explanation as a parallel goal inside an OpenMAIC subject lesson, without making study skills the topic.
open-gsd/gsd-core
Extract decisions, lessons, patterns, and surprises from completed phase artifacts
K-Dense-AI/scientific-agent-skills
Supports machine learning in Python with scikit-learn. An agent skill from K-Dense-AI/scientific-agent-skills.
garrytan/gstack
Lets you review, search, prune and export the learnings gstack has collected across sessions, and surfaces them when a past fix or pattern comes up.
alirezarezvani/claude-skills
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
affaan-m/ECC
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor.
lexler/skill-factory
Creates C4 model diagrams at every zoom level, from system landscape to code, in ASCII, Mermaid or Structurizr, for designing or documenting software architecture.
lexler/skill-factory
Plans and launches Claude Code agent teams with distinct roles, right-sized tasks and detailed spawn prompts, and says when subagents or worktrees fit better.
lexler/skill-factory
Guides writing and debugging Claude Code status line scripts that read session JSON from stdin and print one line of text.
lexler/skill-factory
Catalog of obstacles, anti-patterns and patterns for working with AI coding agents, covering context management and reliability, from a published patterns collection.
lexler/skill-factory
Writes snapshot-style approval tests in Python, JavaScript, TypeScript or Java, comparing output against an approved file instead of writing individual assertions.
lexler/skill-factory
Find where a codebase actually costs time by mining its git history (Tornhill hotspot analysis).
Extracts what the session learned into prose that stands alone, or reviews existing text through the same distortion lenses. Extract Knowledge is an agent skill from lexler/skill-factory. Extracts what the session learned into prose that stands alone, or reviews existing text through the same distortion lenses.
Run `npx skills add lexler/skill-factory --skill extract-knowledge -a claude-code`. Or copy the skill folder (output_skills/ai/extract-knowledge in lexler/skill-factory) into .claude/skills/extract-knowledge in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lexler/skill-factory --skill extract-knowledge -a codex`. Or copy the skill folder (output_skills/ai/extract-knowledge in lexler/skill-factory) into .agents/skills/extract-knowledge in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lexler/skill-factory --skill extract-knowledge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extract-knowledge, .gemini/skills/extract-knowledge, .github/skills/extract-knowledge and .opencode/skills/extract-knowledge in your project.
SKILL.md names no scripts, command-line tools or credentials: Extract Knowledge is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Extract Knowledge is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Extract Knowledge: Learning to Learn (OpenMAIC) (THU-MAIC/OpenMAIC, 40k stars), Gsd Extract Learnings (open-gsd/gsd-core, 10k stars), Scikit Learn (K-Dense-AI/scientific-agent-skills, 48k stars) and Project Learnings Manager (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lexler (a GitHub user) maintains it in lexler/skill-factory, which has 239 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on August 26, 2026.
Source: lexler/skill-factory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.