Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.
Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Purpose → Structure → Analyze → Prioritize → Conclude Before analyzing: State what decision this serves. Pick a framework. Note first impression to challenge later.
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
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.
One-line summary: Force analysis into one sentence So what?: End with action, not summary Obviousness test: Would someone say this without reading? → Deeper
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
DomainFocusWatchDataGrain, missing, outliersCentinels, mixed typesCodeProduction breaks, dead codeStyle ≠ bugsTextThesis, evidence strengthUnsourced claimsDecisionsUnlisted options, reversibilityStatus quo biasVisualDominance, consistencyPlatform conventions
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
🎯 PURPOSE: Decide [X] 🔴 CRITICAL: [Finding + source] 🟡 IMPORTANT: [Findings] ⚠️ COUNTER: [Contradictions] ➡️ ACTION: [Recommendation] Channels, not teaches. Ensures prioritization, questioning, and conclusions.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.