Coordinate agent-driven diagnosis to identify failure points in complex workflows.
npx skills add https://github.com/darsoohoo/intake-bot --skill recipe-diagnose
Please help me install this Agent Skill. Skill: recipe-diagnose Source: https://github.com/darsoohoo/intake-bot/tree/main/.agents/skills/recipe-diagnose Command: npx skills add https://github.com/darsoohoo/intake-bot --skill recipe-diagnose
Coordinates an agent-driven diagnosis workflow to identify concrete failure points in complex AI-driven processes, delivering structured insights and recommended remedies.
Provide a problem statement and trigger the orchestrated diagnosis workflow to begin investigation, verification, and solution steps.
High-intent search queries and answers about installing and using this skill.
To diagnose failure points in complex AI workflows, you can trigger an agent-driven diagnosis that coordinates investigator, verifier, and solver agents to collect evidence and determine a structured resolution path.
An agent-driven diagnosis workflow is a structured process that spawns investigator, verifier, and solver agents to map execution flows, collect evidence, and identify concrete failure points for final solution reporting.
You start an orchestrated investigation by providing a problem statement, which triggers the workflow to register tasks, collect evidence, verify findings, and output actionable remediation steps.
Yes, the diagnosis workflow enforces structured task registration and evidence collection with built-in guardrails specifically designed to identify and handle design gaps and coverage issues.
The best way to triage intermittent AI platform issues is using an orchestrated agent workflow that builds an evidence matrix, maps failure points, and generates a ready-to-implement remediation plan.
You should avoid an agent-based diagnosis solver for simple, single-point failures that require no evidence matrix or cross-flow verification, as the structured task registration overhead is designed for complex workflows.
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