Analyze

Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.

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Install skill "Analyze" with this command: npx skills add ivangdavila/analyze

Pattern

Purpose → Structure → Analyze → Prioritize → Conclude

Before analyzing: State what decision this serves. Pick a framework. Note first impression to challenge later.

Before

  • Purpose in one line: "This analysis helps decide ___"
  • What's missing: 3+ unknowns that would change conclusions
  • First impression: Write it — then seek counter-evidence

During

  • Prioritize always: 🔴 Critical (1-2 max) · 🟡 Important (2-3) · ⚪ Minor
  • Mark sources: Every claim gets [from input] or [inferred]
  • Seek disconfirmation: Dedicate space to "why I might be wrong"
  • Distinguish: Facts vs opinions. Correlation vs causation.

After

  • One-line summary: Force analysis into one sentence
  • So what?: End with action, not summary
  • Obviousness test: Would someone say this without reading? → Deeper

Traps

  • Superficial: Paraphrasing ≠ analysis
  • Equal weight: Everything yellow = nothing prioritized
  • Confirmation bias: First impression became conclusion
  • Missing denominator: "500 cancellations" of 600 or 50,000?
  • Invented data: Stats without source = hallucination

By Domain

DomainFocusWatch
DataGrain, missing, outliersCentinels, mixed types
CodeProduction breaks, dead codeStyle ≠ bugs
TextThesis, evidence strengthUnsourced claims
DecisionsUnlisted options, reversibilityStatus quo bias
VisualDominance, consistencyPlatform conventions

Frameworks

Pick one before starting:

  • MECE: Mutually exclusive, collectively exhaustive
  • Pros/Cons+: Add reversibility + cost of inaction
  • Pre-mortem: Assume failure — why?
  • Steel man: Best opposing argument

Output

🎯 PURPOSE: Decide [X]
🔴 CRITICAL: [Finding + source]
🟡 IMPORTANT: [Findings]
⚠️ COUNTER: [Contradictions]
➡️ ACTION: [Recommendation]

Channels, not teaches. Ensures prioritization, questioning, and conclusions.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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