Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.

MITAuto-check passedDevelopment

Install Extract

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill extract -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills extract --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/extract .claude/skills/extract && rm -rf skills-src

Use ~/.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/

Facts

Skill name
extract
GitHub stars
28k
Token cost
~1.4k tokens
SKILL.md length
412 words
Files
1
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.

  • Works in 7 steps: Identify the pattern → Determine skill scope → Generate skill name → …
  • The user runs /si:extract
  • SKILL.md covers Usage, When to Extract, Workflow and Examples, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Extract is an agent skill from alirezarezvani/claude-skills. Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Use when the user runs /si:extract or asks to package a recurring solution from memory into a skill.

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.

It sits in Development, covering Debugging. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • The user runs /si:extract
  • Asks to package a recurring solution from memory into a skill

Example prompts

  • “/extract”

Requirements

  • Docker

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Identify the pattern
  2. Determine skill scope
  3. Generate skill name
  4. Create the skill files
  5. SKILL.md structure
  6. Quality gates
  7. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Extract loads about 1.4k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 412 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 412 words, ~1,414 tokens.

Download SKILL.mdSave it as .claude/skills/extract/SKILL.md (or your agent's skills folder).
name
extract
description
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Use when the user runs /si:extract or asks to package a recurring solution from memory into a skill.

/si:extract — Create Skills from Patterns

Transforms a recurring pattern or debugging solution into a standalone, portable skill that can be installed in any project.

Usage

/si:extract <pattern description>                  # Interactive extraction
/si:extract <pattern> --name docker-m1-fixes       # Specify skill name
/si:extract <pattern> --output ./skills/            # Custom output directory
/si:extract <pattern> --dry-run                     # Preview without creating files

When to Extract

A learning qualifies for skill extraction when ANY of these are true:

CriterionSignal
RecurringSame issue across 2+ projects
Non-obviousRequired real debugging to discover
Broadly applicableNot tied to one specific codebase
Complex solutionMulti-step fix that's easy to forget
User-flagged"Save this as a skill", "I want to reuse this"

Workflow

Step 1: Identify the pattern

Read the user's description. Search auto-memory for related entries:

bash
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
grep -rni "<keywords>" "$MEMORY_DIR/"

If found in auto-memory, use those entries as source material. If not, use the user's description directly.

Step 2: Determine skill scope

Ask (max 2 questions):

  • "What problem does this solve?" (if not clear)
  • "Should this include code examples?" (if applicable)
Step 3: Generate skill name

Rules for naming:

  • Lowercase, hyphens between words
  • Descriptive but concise (2-4 words)
  • Examples: docker-m1-fixes, api-timeout-patterns, pnpm-workspace-setup

Reserved fragments — must NOT appear in the skill name:

  • claude
  • anthropic

For skills about Claude Code itself, use the cc- prefix instead:

  • ❌ claude-code-settings → ✅ cc-settings
  • ❌ claude-code-maintenance → ✅ cc-maintenance
  • ❌ claude-mcp-tools → ✅ cc-mcp-tools
  • ❌ claude-plugin-development → ✅ cc-plugin-development

Before writing the skill directory, check the proposed name against this list. If a reserved fragment is present, transform it (drop the fragment or replace the claude*/anthropic* prefix with cc-) and confirm with the user.

Step 4: Create the skill files

Spawn the skill-extractor agent for the actual file generation.

The agent creates:

<skill-name>/
├── SKILL.md            # Main skill file with frontmatter
├── README.md           # Human-readable overview
└── reference/          # (optional) Supporting documentation
    └── examples.md     # Concrete examples and edge cases
Step 5: SKILL.md structure

The generated SKILL.md must follow this format:

markdown
---
name: "skill-name"
description: "<one-line description>. Use when: <trigger conditions>."
---

# <Skill Title>

> One-line summary of what this skill solves.

## Quick Reference

| Problem | Solution |
|---------|----------|
| {{problem 1}} | {{solution 1}} |
| {{problem 2}} | {{solution 2}} |

## The Problem

{{2-3 sentences explaining what goes wrong and why it's non-obvious.}}

## Solutions

### Option 1: {{Name}} (Recommended)

{{Step-by-step with code examples.}}

### Option 2: {{Alternative}}

{{For when Option 1 doesn't apply.}}

## Trade-offs

| Approach | Pros | Cons |
|----------|------|------|
| Option 1 | {{pros}} | {{cons}} |
| Option 2 | {{pros}} | {{cons}} |

## Edge Cases

- {{edge case 1 and how to handle it}}
- {{edge case 2 and how to handle it}}
Show full SKILL.md (160 more words)Show less
Step 6: Quality gates

Before finalizing, verify:

  • SKILL.md has valid YAML frontmatter with name and description
  • name matches the folder name (lowercase, hyphens)
  • name does NOT contain reserved fragments claude or anthropic (use cc- prefix for Claude Code skills)
  • Description includes "Use when:" trigger conditions
  • Solutions are self-contained (no external context needed)
  • Code examples are complete and copy-pasteable
  • No project-specific hardcoded values (paths, URLs, credentials)
  • No unnecessary dependencies
Step 7: Report
✅ Skill extracted: {{skill-name}}

Files created:
  {{path}}/SKILL.md          ({{lines}} lines)
  {{path}}/README.md         ({{lines}} lines)
  {{path}}/reference/examples.md  ({{lines}} lines)

Install: /plugin install (copy to your skills directory)
Publish: clawhub publish {{path}}

Source: MEMORY.md entries at lines {{n, m, ...}} (retained — the skill is portable, the memory is project-specific)

Examples

Extracting a debugging pattern
/si:extract "Fix for Docker builds failing on Apple Silicon with platform mismatch"

Creates docker-m1-fixes/SKILL.md with:

  • The platform mismatch error message
  • Three solutions (build flag, Dockerfile, docker-compose)
  • Trade-offs table
  • Performance note about Rosetta 2 emulation
Extracting a workflow pattern
/si:extract "Always regenerate TypeScript API client after modifying OpenAPI spec"

Creates api-client-regen/SKILL.md with:

  • Why manual regen is needed
  • The exact command sequence
  • CI integration snippet
  • Common failure modes

Tips

  • Extract patterns that would save time in a different project
  • Keep skills focused — one problem per skill
  • Include the error messages people would search for
  • Test the skill by reading it without the original context — does it make sense?

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in engineering-team/self-improving-agent/skills/extract of alirezarezvani/claude-skills.

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Extract 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.

Extract compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Extract this skillalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Extract

What does Extract do?

Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Extract is an agent skill from alirezarezvani/claude-skills.md, reference docs, and examples.

When should I use Extract?

Extract fits situations like: the user runs /si:extract; asks to package a recurring solution from memory into a skill.

How do I install Extract in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill extract -a claude-code`. Or copy the skill folder (engineering-team/self-improving-agent/skills/extract in alirezarezvani/claude-skills) into .claude/skills/extract in your project. Claude Code loads it when a task matches its description.

How do I install Extract in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill extract -a codex`. Or copy the skill folder (engineering-team/self-improving-agent/skills/extract in alirezarezvani/claude-skills) into .agents/skills/extract in your project. Codex loads it when a task matches its description.

Can I use Extract in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill extract -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, .gemini/skills/extract, .github/skills/extract and .opencode/skills/extract in your project.

What does Extract need to run?

SKILL.md names no scripts, command-line tools or credentials: Extract is instructions for the agent only. Our summary lists: Docker.

Does Extract access the network?

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.

Is Extract safe to install?

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.

What licence does Extract use?

Extract is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Extract use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Extract?

Skills that share tags, products or a category with Extract: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Aoti Debug (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Extract?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.