process-feedback

name	process-feedback
description	Ingest self-improvement feedback from the backlog and propose surgical prompt updates. Ensures high-quality prompt evolution without automated drift. AUTOMATICALLY INVOKE when: - "process feedback", "check prompt backlog", "improve skills based on feedback" - "what improvements are needed for our skills", "analyze feedback backlog" - "optimize prompt for [skill]" NOT for: Directly editing SKILL.md files (this skill is Propose-Only).
allowed-tools	Read, Glob, Write, Bash

/process-feedback — Optimization Architect

Implement a safe, human-in-the-loop mechanism to ingest self-improvement feedback and propose prompt updates.

Authority: Read-Only / Propose-Only. This skill is explicitly FORBIDDEN from calling replace or write_file on any foundational SKILL.md file. It must only generate proposals in the designated optimization-proposals directory.

Step 0 — Setup

Ensure the proposals directory exists and verify the backlog is present:

mkdir -p tasks/in-progress/optimization-proposals
test -f tasks/in-progress/prompt-improvements-backlog.md || { echo "No feedback backlog yet — feedback-collector plugin has not produced any entries. Stopping."; exit 0; }

If the backlog is absent, STOP and report "No feedback backlog yet."

Step 1 — Ingestion

Read the feedback backlog from tasks/in-progress/prompt-improvements-backlog.md. This file contains raw feedback, often in JSON or structured markdown, collected from various sessions.

Step 2 — Analysis

1. Group findings by skill: Categorize feedback by the specific skill it targets.
2. Identify patterns: Look for recurring issues, logic gaps, or edge cases that have been reported multiple times across different sessions.
3. Prioritize: Focus on patterns that impact reliability or safety.

Step 3 — Synthesis

For each target skill identified in Step 2:

1. Read the current SKILL.md for that skill (e.g., skills/[target-skill]/SKILL.md).
2. Analyze how the current prompt fails to address the feedback.
3. Formulate a precise, surgical update (a "diff" or a rewritten section) that directly addresses the feedback while maintaining the skill's original intent and constraints.

Step 4 — Output (Propose)

Generate a structured proposal file at: tasks/in-progress/optimization-proposals/[timestamp]-[skill]-proposal.md

The proposal MUST include:

• Feedback: Quote the raw JSON or text from the backlog being addressed.
• Current State: The specific section of the SKILL.md being targeted.
• Proposed Change: The rewritten section or surgical update.
• Rationale: A clear explanation of why this change fixes the reported issue and how it improves the skill.

Step 5 — User Interaction & Approval

1. Present the summary of the proposal to the user.
2. Provide the path to the proposal file.
3. STOP. Do not apply any changes.
4. Wait for the user to manually review the proposal and provide a direct instruction (e.g., "Apply this proposal" or "Use replace to update the skill").

Safety Constraints

• No Self-Modification: The skill must never attempt to edit its own definition or any other SKILL.md.
• Transparency: Every proposal must link back to the raw feedback that triggered it.
• Validation: Proposals should be checked against the existing CLAUDE.md and GEMINI.md standards.