skill-creator
Skill0 starsChanged 55 days agoMITView on GitHub
Turn a task you just finished into a small, reliable, single-purpose skill by reverse-engineering the process from the conversation you already had. Also improves or audits an existing skill. Use this AFTER you have done a piece of knowledge work in a chat (research, a draft, an analysis, a prep doc) and want to lock the process in as a skill. Triggers include "build a skill from this", "turn this into a skill", "make a skill out of what we just did", "skill-ify this", "build a skill", "improve this skill", "audit my skill", "why does my skill suck", "make my skill smaller", or when the user finishes a repeatable task and wants to reuse it. Built for knowledge workers, not just engineers. For skills you have NOT done yet (only an idea), hand off to process-interviewer instead.
189 other projects use a version of this.
Adopted by
Most recently taken up by
- SebastienDegodez/copilot-instructionstheir own version, first seen Nov 8, 2026
- idavidov13/agentic-playwrighttheir own version, first seen Nov 8, 2026
- HughYau/AcademicForgetheir own version, first seen Nov 8, 2026
- Ar9av/obsidian-wikitheir own version, first seen Nov 8, 2026
- rvdbreemen/OTGW-firmwaretheir own version, first seen Nov 8, 2026
- scenario-labs/skillstheir own version, first seen Nov 7, 2026
Used with
Projects with it also use taskflow-inbox-triage, mermaid-diagram-generator and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AtomicBot-aiSkilltaskflow-inbox-triage
Also in 6 projects that use this
shalombSkillmermaid-diagram-generator
Guide on creating and editing Mermaid charts safely. Use when asked to draw a diagram, flowchart, or architecture chart. Triggers on: 'mermaid', 'diagram', 'flowchart', 'visualize'.
Also in 5 projects that use this
naman10parikhSkillecosystem-reference
Quick-access directory of Claude Code ecosystem repos, skills, plugins, MCPs, and patterns. Use when improving the harness.
Also in 5 projects that use this
naman10parikhSkillfractal-delegation
Also in 5 projects that use this
Liang-MHSkillstock_analysis
获取 A 股、基金和港股的实时行情和技术分析数据
Also in 5 projects that use this
nicepkgSkillcommunity-led-growth
Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user groups, ambassador programs, and turning customers into advocates. Knows the difference between community as a feature vs community as a growth engine, and how to measure community ROI. Use when "community-led, CLG, ambassador program, champion program, user community, developer community, word of mouth, user group, " mentioned.
Also in 5 projects that use this
- +6 more from naman10parikh
Other versions189 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 189
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- anthropics/skills★ 189ksame name
- openai/codex★ 134ksame name
- google-gemini/gemini-cli★ 109ksame name
179 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.
In this repository19 other files it gives its agents.
- skills/folder-analyzer-optimizer/CLAUDE.mdCLAUDE.md
- benchmarkSkill
- decision-toolkitSkill
- deep-researchSkill
- deliverable-panel-reviewSkill
- de-slopSkill
- fact-checkerSkill
- file-naming-standardSkill
- folder-analyzer-optimizerSkill
- humanize-outputSkill
- instructions-auditSkill
- meeting-summarySkill
- personal-insightsSkill
- process-interviewerSkill
- project-initSkill
- project-lintSkill
- project-memorySkill
- prompt-optimizerSkill
- session-handoffSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 185 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Read the situation and pick a branch.
- Distinctive: line 22
If unsure, ask one question: "Did we already do this task in this chat, or is it still just an idea?"
- Very specific: line 52
Test that it works, then bake in improvement.
“Common” is measured: kept by at least 6 in 10 of the 185 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
EQ Skill Creator
Most skills are built wrong: someone describes a process from memory before running it, and gets the cleaned-up version that drops the judgment and the exceptions. This does the opposite. You do the task once in a chat, then this turns what actually happened into a small, reliable skill.
Two rules carry the whole skill: keep it modular (one goal, one job) and remember skills are never finished (ship a small working one, then improve it by using it). The reasoning is in references/scope-and-mindset.md.
Route first
Read the situation and pick a branch. Say which branch you picked and why, then proceed.
| Situation | Branch | Do this |
| The user just finished a real task in this chat | Build | Steps 1 to 5 below |
| The user only has an idea, nothing has been done yet | Plan | Hand off to the process-interviewer skill (interview first, then it builds). Stop here. |
| The user points at an existing skill to fix or shrink | Improve | Skip step 2 (Extract). Run steps 1, 3, 4, 5 against the existing skill. |
If unsure, ask one question: "Did we already do this task in this chat, or is it still just an idea?"
The build flow
Track progress out loud:
Task Progress:
- [ ] 1. Scope: one goal, right size, split or not
- [ ] 2. Extract: pull the real process out of the chat
- [ ] 3. Structure: write a small SKILL.md + reference files
- [ ] 4. Prune: cut everything that does not change behavior
- [ ] 5. Eval: test it works, add the self-improvement rule1. Scope
Decide the one job and whether it should be one skill or several. Read references/scope-and-mindset.md. The cutoff line: a skill is one task doable in a single chat session (roughly 1 to 3 prompts). If the task is bigger, split it into a chain of small skills.
2. Extract
Reverse-engineer what actually happened. Do not ask the user to re-describe their process from memory. Walk back through this conversation and pull out the real steps, the judgment calls, and the reference material. Read references/extract-from-task.md for the technique, then play the process back to the user and let them correct it.
(New to skills, or want the reasoning behind the three build methods? Read references/build-methods.md.)
3. Structure
Write the skill. A SKILL.md does three jobs only: trigger, steps, routing. Everything else goes in reference files. Keep SKILL.md short and small-scoped. Read references/structure.md. If the process needs a live connector or MCP, read references/connectors-and-mcp.md first and decide whether you actually need it. Scaffold the files from templates/_SKILL.md.tmpl and templates/_reference.md.tmpl. (The other two files in templates/ are paste-in content for step 5, not scaffolds.)
4. Prune
Make it as small as possible. Run the deletion test on every paragraph: if removing it would not change what the agent does, remove it. Kill no-ops, duplication, and bloat. Read references/prune.md.
5. Eval
Test that it works, then bake in improvement. Run the functionality eval from references/evals-and-improvement.md (the exact prompt is in templates/eval-prompt.md). Embed the self-improvement rule (templates/self-improvement-rule.md) and the save-good-outputs habit so the skill keeps getting better as it is used.
When you are done
Save the skill as its own folder (SKILL.md plus a references/ folder) in the workspace, show the user the file tree and the SKILL.md, and tell them the one command to trigger it. Then remind them: use it a few times, and let it improve. It is not finished, and that is correct.
Want a worked example before you start? Read references/example-churn-recovery.md.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

