feedback
FeaturedAssess a field lesson for reuse or product feedback without exposing customer context. Use for recurring deployment lessons; distinguish a hypothesis from a validated pattern.
Install
Quality Score: 90/100
Skill Content
Details
- Author
- suboss87
- Repository
- suboss87/FDEOps
- Created
- 3 months ago
- Last Updated
- yesterday
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
skill-from-feedback
Use when the user wants to modify, improve, patch, or revise an existing agent skill from feedback — real session failures, “this skill did X wrong”, tighten triggers, fix workflow holes, or turn review notes into SKILL.md changes. Not for creating a brand-new skill from scratch (use capture-workflow / create-skill) and not for scanning all sessions (use agent-session-auditor).
feedback-integrator
Aggregate repeated findings, acceptance failures, eval results, user corrections, and workflow incidents across skill runs to identify recurring failure patterns and propose evidence-backed improvements to skill instructions, routing, references, kernels, evals, or host integration. Use when the user wants the skill system to learn from repeated mistakes, run a retrospective, improve reliability over time, or convert observed failures into regression tests. Do not use to silently self-modify skills, learn from a single weak signal, replace product/research analytics, or apply repository changes without explicit authorization.
evaluate
Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.