skill-creator
Skill30 starsChanged 50 days agoBSD-2-ClauseView on GitHub
Author a new agent Skill (a SKILL.md directory in the open Agent Skills format) from the Anthropic template. Use when the user wants to create a skill, scaffold a SKILL.md, package a repeatable workflow as a reusable skill, turn instructions into a skill, or capture a procedure so the agent can auto-invoke it later. Produces a valid SKILL.md (name + description frontmatter, optional scripts/ and references/) and saves it into the project's skills directory.
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 repository30 other files it gives its agents.
- skills/academy/agents.mdAGENTS.md
- academySkill
- amsc-data-movement-apiSkill
- amsc-magSkill
- amsc-python-clientSkill
- globus-computeSkill
- i2-apiSkill
- iri-apiSkill
- skill-explorerSkill
- croissant-validatorSkill
- datacard-generatorSkill
- hdmf-schema-builderSkill
- well-convertSkill
- card-eval-updaterSkill
- agentic-vulnerabilities-scanSkill
- ai-fingerprintSkill
- battleprintSkill
- fingerprintingSkill
- uncertainty-quantificationSkill
- uq-metrics-evaluatorSkill
- skill-searchSkill
- auroraSkill
- frontierSkill
- pbsSkill
- perlmutterSkill
- slurmSkill
- literature-searchSkill
- multi-agent-systemsSkill
- gkeyllSkill
- gs2Skill
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 31
Ask the user (or infer from context):
- Distinctive: line 38
Start from references/SKILL_template.md.
- Very specific: line 44
After the frontmatter, write the instructions the agent will follow.
“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
Skill Creator
Scaffold a new, spec-valid agent Skill from the Anthropic template and save it so the agent can discover and auto-invoke it.
A skill is a directory <name>/SKILL.md: YAML frontmatter (name, description) plus markdown instructions the agent follows when the description matches the task. It can bundle scripts/ and references/. See references/agent_skills_spec.md for the full contract.
Workflow
Copy this checklist and check off steps as you go:
Progress:
- [ ] 1. Gather skill intent (name, purpose, triggers)
- [ ] 2. Draft from the template
- [ ] 3. Write the body (instructions/workflow)
- [ ] 4. Add scripts/ and references/ if needed
- [ ] 5. Validate the frontmatter
- [ ] 6. Save into the project (save_skill)
- [ ] 7. Confirm + note how it activates1. Gather Intent
Ask the user (or infer from context):
- name — short, lowercase, hyphenated (e.g.
convert-vasp-outputs). This becomes the directory name and the invocable name. - purpose — one sentence on what the skill does.
- triggers — the user requests / phrasing that should make the agent reach for this skill. These become keywords in the
description.
2. Draft From the Template
Start from references/SKILL_template.md. Fill the frontmatter:
name: must equal the directory name.description: pack it with what it does AND when to use it (trigger phrases) — this is the only thing the agent sees when deciding to invoke. Keep it ≤ 1536 characters.
3. Write the Body
After the frontmatter, write the instructions the agent will follow. Prefer a copyable checklist (like this one) for multi-step workflows. Reference bundled files by relative path, e.g. [template](references/SKILL_template.md).
4. Add Supporting Files (optional)
scripts/— runnable helpers the body invokes.references/— long reference material loaded on demand (keep it OUT of SKILL.md so it costs no tokens until used).
5. Validate
Confirm before saving:
- Frontmatter is valid YAML between
---fences. nameis present, lowercase-hyphenated, and equals the intended directory name.descriptionis present and ≤ 1536 characters.- Any
[link](references/...)path exists.
6. Save
If the save_skill MCP tool is available (DSAgt), call it with the spec (frontmatter dict: name, description, optional tags), the body markdown, and any reference_files (a {relative_path: contents} map). It writes <project>/skills/<name>/ and mirrors it into the platform's native skill directory immediately. Without that tool, write the directory under the agent's native skills directory for the active platform.
7. Confirm
Tell the user the skill was saved and is ready to use. Future sessions auto-discover it natively; to apply it in the current session, read skills/<name>/SKILL.md and follow it — that is all native invocation does. Do not tell the user a restart or any other action is needed.
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.

