Diagnose agent execution failures and recommend improvements from task transcripts.
npx skills add https://github.com/korchasa/flow --skill flow-reflect
Please help me install this Agent Skill. Skill: flow-reflect Source: https://github.com/korchasa/flow/tree/main/framework/skills/flow-reflect Command: npx skills add https://github.com/korchasa/flow --skill flow-reflect
Analyzes the agent's execution history to diagnose failures in the Thought–Action–Result loop and identify suboptimal decisions, enabling teams to improve reliability and safety.
Review the latest task transcript and project guidelines, then produce a concise reflection highlighting root causes and recommended actions.
High-intent search queries and answers about installing and using this skill.
Diagnose Thought-Action-Result loop failures by auditing the agent's execution history to identify suboptimal decisions, behavioral errors like ignored feedback, and technical flaws in engineering choices.
AI agent workflows repeat errors when context gaps and undocumented discoveries exist; auditing the task transcript against project guidelines surfaces these root causes to enforce evidence-based improvements.
Run an agent task retrospective by examining the execution history to surface behavioral loops, false assumptions, and brittle designs, producing concrete recommendations for future session reliability.
Yes, you can use a task transcript to audit agent task flows, specifically surfacing technical decision flaws like overengineering, poor error handling, and brittle designs for design reviews.
Yes, auditing an AI workflow requires access to both the task transcript and project guidelines to identify context gaps and propose concrete improvements to instructions and tooling.
Auditing agent execution history focuses strictly on process reliability, engineering choices, and context usage, meaning it only produces concrete recommendations for future sessions rather than live runtime corrections.
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