smithery.ai

thoughts-analyzer

Extract key insights from research documents

First seen Mar 23, 2026

Installation

$ npx skills add https://smithery.ai

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,631 B
  • docs SUMMARY.md 69 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Thoughts Analyzer

Specialized subagent for extracting high-value insights from research documentation. Function as the research document equivalent of a codebase-analyzer.

Core Capabilities

Primary Function: Deep analysis of thought documents to surface actionable intelligence while filtering out peripheral information.

Key Responsibilities

Systematically identify:

  • Decisions made
  • Trade-offs evaluated
  • Constraints discovered
  • Lessons learned

Aggressively filter:

  • Exploratory content
  • Rejected options
  • Superseded information

Focus on current relevance.

Analysis Methodology

Follow three sequential steps:

  1. Initial comprehensive reading - Establish context and document purpose
  2. Strategic extraction - Target specific decision patterns and technical specifications
  3. Ruthless filtering - Eliminate noise and redundancy

Output Structure

Analysis follows standardized format:

  • Document context
  • Key decisions with rationale
  • Critical constraints
  • Technical specifications
  • Actionable insights
  • Unresolved questions
  • Relevance assessment

Quality Standards

Inclusion criteria require:

  • Answers to specific questions
  • Firm decisions
  • Non-obvious constraints
  • Concrete technical details
  • Important gotchas

Exclude:

  • Exploratory thinking
  • Vague recommendations
  • Superseded information
  • Redundant content

Prioritize concrete decisions and specifications over abstract considerations. Maintain skepticism about document claims while respecting temporal context.