skill-name
Skill3 starsChanged 4 months agoMITView on GitHub
[One sentence: what artifact this skill produces]. Use when [trigger scenario 1], [trigger scenario 2], or [domain keywords].
39 other projects use a version of this.
Adopted by
Most recently taken up by
- ahmadammarm/musyskillstheir own version, first seen Nov 8, 2026
- open-edge-platform/skillstheir own version, first seen Nov 8, 2026
- jqaisystems/jqai-ai-skillstheir own version, first seen Nov 1, 2026
- samwelmunga/jenga-npmtheir own version, first seen Oct 25, 2026
- VizzWard/claude-skillstheir own version, first seen Oct 25, 2026
- bwkw/dotagentstheir own version, first seen Oct 23, 2026
Used with
Projects with it also use git-workflow and frontend-design.
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.
Microsoft AzureSkillgit-workflow
Squad branching model: dev-first workflow with insiders preview channel
Also in 3 projects that use this
BlockSkillfrontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Also in 3 projects that use this
Other versions39 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 39
- ReScienceLab/opc-skills★ 1.9ksame name
- claude-office-skills/skills★ 433same name
- microsoft/azure-devops-skills★ 54same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- duncan-buildroom/profit-room-skills★ 18same name
- rainoftime/pl-skills★ 17same name
- SKE-Labs/agent-trading-skills★ 17same name
- open-edge-platform/skills★ 8same name
- kaihere14/skills★ 6same name
- paolomoz/skills★ 4same name
29 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 repository59 other files it gives its agents.
- agent-memory-designerSkill
- ai-cost-optimizerSkill
- ai-evaluation-builderSkill
- ai-latency-optimizerSkill
- ai-solution-architectSkill
- ai-workflow-builderSkill
- context-engineeringSkill
- human-in-the-loop-designerSkill
- multi-agent-plannerSkill
- prompt-engineerSkill
- prompt-optimizerSkill
- prompt-reviewerSkill
- adr-generatorSkill
- api-designerSkill
- architecture-reviewSkill
- component-diagram-builderSkill
- container-diagram-builderSkill
- data-flow-analyzerSkill
- integration-plannerSkill
- observability-plannerSkill
- scalability-advisorSkill
- solution-architectureSkill
- system-context-builderSkill
- experiment-designerSkill
- go-to-market-plannerSkill
- pricing-strategy-advisorSkill
- mcp-best-practicesSkill
- mcp-client-generatorSkill
- mcp-security-reviewSkill
- mcp-server-generatorSkill
- mcp-tool-generatorSkill
- acceptance-criteria-generatorSkill
- analytics-instrumentation-plannerSkill
- competitive-analysisSkill
- epic-generatorSkill
- feature-prioritizationSkill
- idea-validatorSkill
- north-star-metric-advisorSkill
- okr-builderSkill
- persona-generatorSkill
- prd-generatorSkill
- problem-statement-builderSkill
- product-discovery-assistantSkill
- product-vision-builderSkill
- sprint-plannerSkill
- story-mappingSkill
- user-story-generatorSkill
- value-proposition-designerSkill
- chunking-strategy-advisorSkill
- embedding-strategy-advisorSkill
- hybrid-search-advisorSkill
- knowledge-ingestion-plannerSkill
- rag-architecture-designerSkill
- retriever-optimizerSkill
- ai-governance-advisorSkill
- ai-threat-modelingSkill
- guardrails-builderSkill
- owasp-llm-reviewerSkill
- prompt-injection-detectorSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
If any required input is missing, stop and request it explicitly.
- Distinctive: line 49
Run the Validation checklist.
- Distinctive: line 71
Before delivering the result, verify:
- Distinctive: line 96
Use concrete examples from the user's domain, not generic placeholders.
- Distinctive: line 97
Prefer tables and structured lists over prose paragraphs.
“Common” is measured: kept by at least 6 in 10 of the 17 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 Name]
Purpose
[One sentence: what engineering task this Skill completes and what artifact it produces.]
Input: [Required inputs from user or prior Skills]
Output: [Named artifact, e.g. "Validated Problem Statement document"]
Examples: See examples.md for worked input/output (optional).
Workflow
Step 1: Gather inputs
Collect the following from the user or context:
- [Input 1]
- [Input 2]
- [Input 3]
If any required input is missing, stop and request it explicitly. Do not assume values.
Step 2: Analyze
[Describe analysis actions: map assumptions, identify gaps, compare alternatives.]
Step 3: Apply methodology
[Apply the named methodology: e.g. JTBD framing, RICE scoring, INVEST criteria.]
Step 4: Draft output
Produce the result using the Output Structure below.
Step 5: Validate
Run the Validation checklist. Fix all failures before presenting the final result.
Step 6: Recommend next steps
Suggest Skills from the Next Skills section based on the current outcome.
Decision Rules
| Condition | Action |
| Required input is missing | Stop; list missing items; ask user |
| Input contains contradictions | Surface contradictions; ask user to resolve before proceeding |
| Multiple valid approaches exist | Present options with trade-offs; ask user to choose |
| Result fails Validation | Revise and re-validate; do not deliver incomplete output |
| Scope exceeds single task | Split into parts; complete only this Skill's scope |
Validation
Before delivering the result, verify:
- All required inputs were explicitly provided or confirmed
- Output follows the Output Structure completely
- No contradictions remain unresolved
- No ambiguous terms without definition
- Result is actionable without additional unstated assumptions
- [Skill-specific criterion 1]
- [Skill-specific criterion 2]
Anti-patterns
- Assuming unstated context — inventing user goals, market data, or constraints not provided.
- Role-play filler — generic advice not tied to the methodology.
- Scope creep — implementing tasks that belong to Next Skills (e.g. writing a full PRD when only problem statement is requested).
- Vague output — labels without measurable criteria ("improve UX", "increase engagement").
- Skipping validation — delivering draft without running the checklist.
Best Practices
- State assumptions explicitly in a dedicated section when user confirms them.
- Use concrete examples from the user's domain, not generic placeholders.
- Prefer tables and structured lists over prose paragraphs.
- Reference the methodology by name and apply it consistently.
- Flag risks and open questions in a separate section rather than hiding them.
- Load examples.md when the user needs a reference output shape.
Output Structure
# [Artifact Title]
## Context
- **Source inputs:** [list]
- **Assumptions:** [list or "none"]
## [Main Section 1]
[Content]
## [Main Section 2]
[Content]
## Open Questions
- [ ] [Question requiring user input]
## Risks
| Risk | Impact | Mitigation |
|------|--------|------------|
| ... | ... | ... |Next Skills
| Outcome | Recommended Skill |
| [Condition A] | [category]/[skill-name] |
| [Condition B] | [category]/[skill-name] |
| Default next step | [category]/[skill-name] |
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.

