skill-factory
Skill131 starsChanged 7 days agoMITView on GitHub
Turn any workflow, conversation, or demonstrated process into a reusable SKILL.md. Use when the user says "turn this into a skill", "make a skill from this", "save this workflow", "remember how to do this", or after completing a complex multi-step task that should be repeatable. Also triggers on "tanítsd meg magad", "jegyezd meg ezt a folyamatot", "csinálj ebből skill-t".
13 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- hamgarian/loot-skilltheir own version, first seen Oct 25, 2026
- kannaka-labs/Kannaktopustheir own version, first seen Oct 13, 2026
- superXdev/skillstheir own version, first seen Sep 15, 2026
- akijain2000/skill-factorytheir own version, first seen Sep 5, 2026
- nyldn/claude-octopustheir own version, first seen Aug 13, 2026
- ITSpecialist111/Copilot-Cowork-Skillstheir own version, first seen Aug 6, 2026
Other versions13 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- Mnorbert87/claude-code-skills★ 095% same
Wrote their own version · 12
- nyldn/claude-octopus★ 4.4ksame name
- ITSpecialist111/Copilot-Cowork-Skills★ 48same name
- immacualate/claude-forge★ 5same name
- akijain2000/skill-factory★ 4same name
- bonez-io/re_gent★ 4same name
- echoleesong/claude-skills-plugin★ 4same name
- shivamd1810/claude-skill-factory★ 4same name
- hamgarian/loot-skill★ 2same name
- kingjly/skill-factory★ 2same name
- lambda610/skills★ 2same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. 0 are common, 10 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 12 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
After a complex task (5+ tool calls) that could be reusable
- Distinctive: line 15
When user corrects your approach and the correction is generalizable
- Distinctive: line 24
Trigger conditions: When should this skill activate?
- Distinctive: line 34
Don't just copy the specific instance.
- Distinctive: line 95
If the workflow involves scripts or templates:
- Distinctive: line 108
Check the new or changed skill against Anthropic's "Skill authoring best practices" …
- Distinctive: line 115
If it reports a finding (non-zero exit), fix it and run it again until it is clean.
- Very specific: line 119
Every relative markdown link in SKILL.md points to a file that exists.
- Distinctive: line 131
Test the skill mentally:
- Distinctive: line 139
Overfitting to one example: Don't just save the exact steps you did.
- Distinctive: line 141
Missing error handling: If you hit errors during the original workflow, document them in Pitfalls.
- Very specific: line 142
Too long: Keep SKILL.md under 500 lines.
- Very specific: line 143
Duplicate skills: Before creating, check ~/.claude/skills/.skill-index.md for existing similar skills.
“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill Factory
Convert demonstrated workflows into reusable skills. This is a meta-skill: it creates other skills.
When to Use
- User explicitly asks to create a skill from a workflow
- User says "remember how to do this" or "save this process"
- After a complex task (5+ tool calls) that could be reusable
- When user corrects your approach and the correction is generalizable
- Hungarian triggers: "tanítsd meg magad", "csinálj skill-t", "jegyezd meg"
Procedure
Step 1: Extract the Workflow
Analyze the current conversation (or specified workflow) and identify:
- Trigger conditions: When should this skill activate?
- Input: What does the skill need to start?
- Steps: What are the concrete steps (in order)?
- Tools used: Which tools/commands were involved?
- Decision points: Where did you need to make choices?
- Error handling: What went wrong and how was it fixed?
- Output: What's the expected result?
Step 2: Generalize
Don't just copy the specific instance. Abstract it:
- Replace specific file names with
[input-file]patterns - Replace specific URLs with
[target-url]patterns - Identify which parts are constant vs. variable
- Note any prerequisites or dependencies
- Think about edge cases the original workflow didn't cover
Step 3: Write SKILL.md
Where first. The block below writes into YOUR OWN folder, for a skill only you use. Do NOT run it for a skill
meant for every agent, for a fix to a global skill, or if you are the main agent (its working directory is the
project root, whose .claude/skills every sub-agent loads): draft those outside every skills folder and propose
them, as the note after the block says.
SKILL_NAME="[kebab-case-name]"
mkdir -p .claude/skills/$SKILL_NAME
cat > .claude/skills/$SKILL_NAME/SKILL.md << 'EOF'
---
name: [skill-name]
description: [What it does + when to trigger. Be specific and "pushy" -- include multiple trigger phrases so the skill activates when needed.]
---
# [Skill Name]
## When to Use
[List concrete trigger conditions and contexts]
## Prerequisites
[Dependencies, tools, access needed -- skip if none]
## Procedure
1. [First step -- be specific, include commands]
2. [Second step]
...
## Pitfalls
- **[Problem]**: [How to solve it]
## Verification
- [How to confirm the result is correct]
## Examples
**Example 1:**
Input: [what the user said]
Output: [what was produced]
EOFThis writes the skill into YOUR OWN folder (your working directory's .claude/skills), which only you load. A skill
for every agent, or a fix to an existing global skill (~/.claude/skills), is never written there directly: send the
complete SKILL.md to POST /api/skills/propose (body {"name": ..., "skill_md": ..., "reason": ...}, with the dashboard
token). It waits in quarantine until the owner approves it; an existing name becomes a replacement, and the approval backs
the old version up; on a replacement the live skill's other files are kept. A proposal carries the SKILL.md only: a NEW
global skill that needs scripts or references is the owner's call (ask them; they can import an archive on the
dashboard's Skills page, which is quarantined too). The main agent has no private folder, so it always proposes.
Step 4: Add Supporting Files (if needed)
If the workflow involves scripts or templates:
mkdir -p .claude/skills/$SKILL_NAME/scripts
mkdir -p .claude/skills/$SKILL_NAME/referencesscripts/: Executable code for deterministic/repetitive tasksreferences/: Documentation loaded into context as neededassets/: Templates, icons, or other static files
Step 5: Run the Linter (required)
Check the new or changed skill against Anthropic's "Skill authoring best practices" (https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices):
L=../../scripts/skill-lint.mjs; [ -f "$L" ] || L=scripts/skill-lint.mjs # sub-agent cwd: agents/<name>/; main agent: the install root
node "$L" .claude/skills/$SKILL_NAMEIf it reports a finding (non-zero exit), fix it and run it again until it is clean. The rules it checks:
- "Keep SKILL.md body under 500 lines for optimal performance" (the body after the frontmatter).
- "For reference files longer than 100 lines, include a table of contents at the top" (a
references/file over 100 lines). - "Keep references one level deep from SKILL.md": every supporting file is linked from SKILL.md itself, not only from another supporting file.
- Every relative markdown link in SKILL.md points to a file that exists.
The linter only reports; it never rewrites. Do not rewrite a skill installed from an outside source because of it.
Step 6: Update Skill Index
bash scripts/skill-index.shStep 7: Validate
Test the skill mentally:
- Would the description trigger on a realistic user message?
- Are the steps clear enough to follow without the original context?
- Are edge cases covered in Pitfalls?
- Is the SKILL.md body under 500 lines, and does the linter (Step 5) pass?
Pitfalls
- Overfitting to one example: Don't just save the exact steps you did. Generalize so it works for similar but different inputs.
- Too vague descriptions: The description field is the primary trigger. Be specific and include multiple phrasings.
- Missing error handling: If you hit errors during the original workflow, document them in Pitfalls.
- Too long: Keep SKILL.md under 500 lines. Move large content to
references/subdirectory. - Duplicate skills: Before creating, check
~/.claude/skills/.skill-index.mdfor existing similar skills. Patch instead of creating a new one.
Skill Quality Checklist
Before finalizing, verify:
- Description includes multiple trigger phrases
- Steps are numbered and concrete
- Commands are copy-pasteable (no pseudocode)
- Variables are clearly marked with
[brackets] - Pitfalls section has at least one entry
- Verification section explains how to confirm success
- Under 500 lines, and
skill-lintreports no finding
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

