Analyze
Deep analysis workflow for codebases, architectures, systems, products, markets, or research topics. Use when the user asks to analyze, investigate, assess, evaluate, compare, or research something in a structured way.From its SKILL.md
npx -y skills add alex-voloshin-dev/ai-skills --skill analyzeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.0 KB, as published. Nobody here has run it
Analyze
Perform structured analysis with explicit scope, evidence, and conclusions.
0. Gather Context
Read AGENTS.md at the project root to understand the project's domain, tech stack, and business context. This shapes framework selection and analysis scope.
1. Classify the Request
Identify:
- Subject
- Core question
- Scope
- Desired depth
- Audience
- Decision the analysis should inform
2. Choose a Framework
Pick one to three frameworks from analytical-frameworks.md based on the question type.
Typical pairings:
- Current-state assessment -> gap analysis, architecture assessment
- Root cause -> 5 Whys, fishbone, causal analysis
- Comparison -> weighted scoring, MCDA
- Strategy -> SWOT, Porter's Five Forces, JTBD
- Technical assessment -> architecture review, technical debt assessment
3. Plan the Investigation
Break the work into MECE dimensions.
For each dimension, define:
- What evidence is needed
- Where it will come from
- What would confirm or contradict the current hypothesis
4. Collect Evidence
Use the minimum set of relevant sources:
- Repository files and docs
- Structured data or metrics
- Targeted commands
- Web research when current external information is required
Track evidence quality and note assumptions.
5. Analyze
Rules:
- Lead with evidence, not opinion
- Consider at least one alternative explanation
- State confidence explicitly
- Separate facts, inference, and recommendation
6. Present the Result
Use output-templates.md to structure the output.
All outputs should include:
- Executive summary
- Context
- Analysis
- Findings
- Recommendations
- Risks and limitations
Companion Resources
analytical-frameworks.mdoutput-templates.md