introspect

Solid

Deep self-analysis pipeline: collects session/rule/usage data, analyzes across 5 dimensions (strength-shadow + Analogia grounding), produces HTML report. User-invoked via /introspect.

Data & Documents 125 stars 11 forks Updated today MIT

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Quality Score: 81/100

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Skill Content

# Introspect A self-analysis pipeline that collects behavioral context, identifies patterns, and produces actionable insights as an HTML report. The pipeline has 4 phases, each building on the previous. ## Pipeline Overview | Phase | What | Mode | Output | |-------|------|------|--------| | 1. Collect | Gather data from 4 sources | 3 parallel inline Task invocations | Raw findings | | 2. Analyze | Synthesize into profile | AI + user dialogue | Strengths, costs, conflicts | | 3. Ground | Map to philosophical frameworks | Optional Analogia | Validated mapping | | 4. Report | Generate HTML report | Automated | `.html` file | If the user provides a specific question (e.g., "What are my curses?"), orient the analysis toward answering that question rather than producing a generic profile. --- ## Phase 1: Data Collection Launch 3 parallel ad-hoc inline Task(general-purpose) invocations. These are not pre-registered agent files — each is an inline prompt task launched for this pipeline only. Each collects from different sources and returns structured findings. All prompts are English per delegation rules; search keywords in quotes are exempt. ### Agent 1: Rules & Configuration ``` PURPOSE: Extract the user's explicitly stated preferences and constraints from their Claude Code configuration. COLLECT: 1. Read ~/.claude/CLAUDE.md — extract all stated preferences, principles, and constraints 2. Read all files in ~/.claude/rules/ — extract each rule with its rationale 3. Read ~/...

Details

Author
jongwony
Repository
jongwony/epistemic-protocols
Created
7 months ago
Last Updated
today
Language
JavaScript
License
MIT

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