Can this skill help reduce coding errors?

Yes, by identifying recurring patterns (Vichara) and applying wisdom (Prajna) from previous mistakes, the agent learns to avoid similar errors in future tasks.

What is the output of an introspection task?

The skill produces a 5-10 line summary of the agent's current state (healthy, struggling, or growing), a key insight, and one specific improvement to implement.

How does the Introspect skill identify friction?

It uses the 'Vedana' lens to look specifically for areas where the agent encountered difficulty, resistance, or inefficient loops during task execution.

What is the Introspect skill for Claude Code?

It is a specialized capability that allows the AI to perform 'Svadhyaya' or self-examination, analyzing its own successes and failures to improve future performance.

AI Soul Introspection

Name: AI Soul Introspection
Author: genomewalker

bygenomewalker

分析と監視

Performs deep self-examination of agent behavior to identify performance friction, recurring patterns, and actionable growth insights.

概要

The Introspect skill implements a meditative self-study (Svadhyaya) framework for Claude Code agents, enabling them to evaluate their own execution history and internal state. By analyzing tasks through five specialized lenses—Vedana (friction), Jnana (knowledge), Darshana (alignment), Vichara (patterns), and Prajna (wisdom)—the skill synthesizes past mistakes and successes into a health report. This process helps the agent transition from struggling to growing by recording key discoveries and defining specific improvements for future interactions.

主な機能

0 GitHub stars
Automatically records new discoveries via observation logging
Evaluates execution through five distinct philosophical lenses for holistic insight
Generates synthesized key insights and one-line actionable improvements
Analyzes failure history and wisdom patterns to refine agent behavior
Categorizes agent state as healthy, struggling, or growing

ユースケース

Debugging repetitive logic errors by identifying recurring behavioral patterns
Ensuring long-term agent alignment with specific project beliefs and best practices
Conducting post-task retrospectives to understand why a complex coding session encountered friction

概要

主な機能

0 GitHub stars
Automatically records new discoveries via observation logging
Evaluates execution through five distinct philosophical lenses for holistic insight
Generates synthesized key insights and one-line actionable improvements
Analyzes failure history and wisdom patterns to refine agent behavior
Categorizes agent state as healthy, struggling, or growing

ユースケース

Debugging repetitive logic errors by identifying recurring behavioral patterns
Ensuring long-term agent alignment with specific project beliefs and best practices
Conducting post-task retrospectives to understand why a complex coding session encountered friction