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ivangdavila

Analyze

by Iván · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
1872
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3
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6
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1
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Install in OpenClaw
/install analyze
Description
Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.
README (SKILL.md)

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

Domain Focus Watch
Data Grain, missing, outliers Centinels, mixed types
Code Production breaks, dead code Style ≠ bugs
Text Thesis, evidence strength Unsourced claims
Decisions Unlisted options, reversibility Status quo bias
Visual Dominance, consistency Platform 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.

Usage Guidance
This is a low-risk, instruction-only skill that simply prescribes an analysis workflow. Before installing, confirm your agent platform's runtime policy: verify whether skills can access files, network, or tools outside their instructions (the skill itself doesn't request such access). Try it first with non-sensitive example inputs and review agent logs to ensure it behaves as expected. If you expect the skill to operate on private data, validate the hosting environment's data handling and logging settings.
Capability Analysis
Type: OpenClaw Skill Name: analyze Version: 1.0.0 The skill bundle contains standard metadata and a `SKILL.md` file that provides instructions for an AI agent on how to perform structured analysis. The markdown content is entirely focused on analytical methodology, prioritization, and output formatting. There are no indications of prompt injection attempts, malicious commands, data exfiltration, persistence mechanisms, or any other harmful behaviors. All content aligns with the stated purpose of an 'Analyze' skill.
Capability Assessment
Purpose & Capability
Name and description describe a generic analysis helper; SKILL.md contains only procedural guidance for analysis (pick framework, list unknowns, prioritize, conclude). There are no unrelated requirements (no cloud creds, no binaries) that would be inconsistent with the stated purpose.
Instruction Scope
Runtime instructions are limited to how the agent should structure its reasoning (purpose, missing data, priorities, counter-evidence, outputs). The instructions do not tell the agent to read system files, access environment variables, call external endpoints, or collect unrelated data.
Install Mechanism
No install spec and no code files — instruction-only. That minimizes disk writes and executable installs and is proportionate for a guidance-style skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is nothing requesting secrets or unrelated service access.
Persistence & Privilege
always is false and the skill does not request persistent presence or modifications to other skills or system settings. Autonomous invocation is allowed by default but is not combined with elevated privileges here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install analyze
  3. After installation, invoke the skill by name or use /analyze
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug analyze
Version 1.0.0
License
All-time Installs 6
Active Installs 6
Total Versions 1
Frequently Asked Questions

What is Analyze?

Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude. It is an AI Agent Skill for Claude Code / OpenClaw, with 1872 downloads so far.

How do I install Analyze?

Run "/install analyze" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Analyze free?

Yes, Analyze is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Analyze support?

Analyze is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Analyze?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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