Agent Introspection Debugging

Skill Verified Active

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

Purpose

To enable AI agents to systematically debug and recover from failures, improving reliability and reducing token waste on repeated errors.

Features

Structured self-debugging workflow
Failure capture and state recording
Root-cause diagnosis based on known patterns
Contained recovery actions
Introspection report generation

Use Cases

When an agent run fails repeatedly or loops
When an agent consumes tokens without progress
When context growth or prompt drift degrades output quality
To diagnose and recover from file-system or environment state mismatches

Non-Goals

Feature verification after code changes (use verification-loop)
Framework-specific debugging when narrower skills exist
Runtime promises the current harness cannot enforce

Installation

npx skills add affaan-m/everything-claude-code

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified

99 /100

Analyzed about 23 hours ago

Trust Signals

Last commitabout 23 hours ago

GitHub owner affaan-m

Stars181k

Downloads 7k

LicenseMIT

Websiteecc.tools

Status

View Source

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