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Analyze

Skill Lemonaderrrrr/flow-kit/skills/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.

Install
npx -y skills add Lemonaderrrrr/flow-kit --skill analyze

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What its author says it does

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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€” ๐Ÿงฎ Decision analysis (which path to choose) and ๐Ÿ“ˆ 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

  1. Route-confirm (see CONVENTIONS.md): one line stating this is the analyze workflow and the suggested mode; wait for the go-ahead.
  2. Confirm mode: default โš™๏ธ Engineer; the user may switch to ๐Ÿง  Philosopher.
  3. Confirm branch: ๐Ÿงฎ Decision analysis or ๐Ÿ“ˆ Data analysis.

๐Ÿงฎ Decision-analysis branch (which path / whether to do it)

  1. Define the decision โ€” choosing between what? Supporting what action?
  2. Pick a framework โ€” decision matrix / cost-benefit / weighted scoring.
  3. List options + criteria + weights โ€” lay out candidates and judging dimensions.
  4. Score + run the numbers โ€” show the work, don't hand-wave.
  5. Conclusion + confidence + sensitivity โ€” what to pick, how sure, what would flip it.
  6. Capture โ€” outputs/analysis/analysis_<english-slug>.md.

๐Ÿ“ˆ Data-analysis branch (find insight in data)

  1. Define the question โ€” what are we answering?
  2. Inspect the data โ€” structure / quality / missing values.
  3. Explore โ€” descriptive stats / distributions / correlations.
  4. Findings โ€” patterns / anomalies / relationships.
  5. Conclusion + limits โ€” don't claim what the data doesn't support.
  6. 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 research skill 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.

Keep looking

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