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Skill Fire Debugger
Instantly diagnose and fix why your AI agent skills aren't triggering when they should.
Free
Works with the AI tools you already use
See it in action
You say
I have a skill for database tasks, but it didn't trigger when I asked it to help me with a Postgres issue. Why did it ignore me?
Your agent does
LIKELY CAUSE: Description does not match the trigger words you actually used. EVIDENCE: Your skill says 'use for database tasks'. You typed 'Postgres'. FIX: Add 'Postgres' and 'SQL' to the skill description trigger list. VERIFY: Type 'Optimize Postgres' and check for the skill icon.
About this skill
What it does
This skill provides a high-speed diagnostic engine for troubleshooting "misfires"—situations where an AI agent fails to trigger a specific skill despite the user's intent. It systematically analyzes the interaction against seven common failure modes, such as description truncation, trigger word mismatch, or configuration errors.
Why use this skill
Debugging agent behavior is often a manual process of trial and error. This skill automates that friction by acting as a "Linter for Agent Skills." Instead of guessing why an agent ignored a tool, you get a developer-centric report including the specific evidence for the failure and a copy-paste-ready fix. It prevents "model hallucination" where the agent tries to perform a task manually instead of using the optimized skill you already built.
Supported Environment
While designed with the Claude Skill specification in mind (supporting frontmatter and character budget constraints), the logic applies to any agent framework using tool-calling or slash commands where discoverability is driven by text descriptions.
The Output
The skill yields a standardized four-line block: the LIKELY CAUSE, EVIDENCE found in the logs/prompt, a concrete FIX, and a VERIFY step to ensure the problem is solved.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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