Analyze
Stop Claude from winging it โ 7 workflow skills that route every task through two thinking modes (Philosopher = absorb / Engineer = ship). Works in Claude Code + Codex.
npx -y skills add Lemonaderrrrr/flow-kit --skill analyzeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Turn data, a situation, or a set of options into a structured analysis with a confidence-rated conclusion. Default Engineer mode. Two branches โ ๐งฎ Decision analysis (which path to choose) and ๐ Data analysis (find insight in data). Hands off to the research skill when external data is missing. Saves to outputs/analysis/. Use when the user says "analyze this", "run the numbers", "which of these should I pick", "what does this data say", or invokes the skill.
SKILL.md
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Analyze Workflow
Turn data / a situation / options into a structured analysis + a confidence-rated conclusion.
Start
- Route-confirm (see
CONVENTIONS.md): one line stating this is the analyze workflow and the suggested mode; wait for the go-ahead. - Confirm mode: default โ๏ธ Engineer; the user may switch to ๐ง Philosopher.
- Confirm branch: ๐งฎ Decision analysis or ๐ Data analysis.
๐งฎ Decision-analysis branch (which path / whether to do it)
- Define the decision โ choosing between what? Supporting what action?
- Pick a framework โ decision matrix / cost-benefit / weighted scoring.
- List options + criteria + weights โ lay out candidates and judging dimensions.
- Score + run the numbers โ show the work, don't hand-wave.
- Conclusion + confidence + sensitivity โ what to pick, how sure, what would flip it.
- Capture โ
outputs/analysis/analysis_<english-slug>.md.
๐ Data-analysis branch (find insight in data)
- Define the question โ what are we answering?
- Inspect the data โ structure / quality / missing values.
- Explore โ descriptive stats / distributions / correlations.
- Findings โ patterns / anomalies / relationships.
- Conclusion + limits โ don't claim what the data doesn't support.
- Capture โ same location.
Wrap-up conventions
- Separate fact / inference / opinion; give the conclusion a confidence level.
- When external data is missing, hand off to the
researchskill โ don't invent numbers from memory. - For any quantitative claim, show the calculation, not just the result.
- Promote: if it's directional/reusable, offer to save it to long-term memory; one-off outputs stay put.
- Filenames use English slugs.