feedback

SkillCloud & infra

Lets your agent assess field lessons for reuse or product feedback while keeping customer details private.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the feedback skill

About this capability

Assess a field lesson for reuse or product feedback without exposing customer context. Use for recurring deployment lessons; distinguish a hypothesis from a validated pattern.

What this skill tells your AI

The instructions your AI receives, as published by suboss87/fdeops in skills/feedback/SKILL.md and read by ahel’s review.

Purpose

Assess a field lesson for reuse or product feedback without exposing customer context. Use for recurring deployment lessons; distinguish a hypothesis from a validated pattern.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.

Signals

GitHub stars
767
Forks
118
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
feedback-suboss87
Source
github.com/suboss87/fdeops