ingest-feedback
Use when user wants to ingest a development-skills feedback report and apply fixes, or runs /ingest-feedback. Challenges every suggestion against the Iron Rules before accepting; most friction points should SKIP. Expect a report path as argument.
Best use case
ingest-feedback is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when user wants to ingest a development-skills feedback report and apply fixes, or runs /ingest-feedback. Challenges every suggestion against the Iron Rules before accepting; most friction points should SKIP. Expect a report path as argument.
Teams using ingest-feedback should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ingest-feedback/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ingest-feedback Compares
| Feature / Agent | ingest-feedback | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when user wants to ingest a development-skills feedback report and apply fixes, or runs /ingest-feedback. Challenges every suggestion against the Iron Rules before accepting; most friction points should SKIP. Expect a report path as argument.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
Ingest a development-skills feedback report. Challenge every suggestion against the Iron Rules before accepting. Report path: $ARGUMENTS ## Ground Rule: The Report Is Input, Not Truth The report describes what happened, not what should change. Most friction is model behavior or edge cases. A change must EARN its place. Iron Rules to apply here (canonical: `../../shared/iron-rules.md`): - **Principle 3 — Simplicity by default.** Small improvement + ugly complexity = not worth it. - **Principle 5 — All signal, zero noise.** Everything earns its place. **Marginal improvement + added words/rules → SKIP.** --- ## Step 1: Read the Report Extract friction points (Section 3), proposed evals (Section 4), chain-of-thought (Section 2). ## Step 2: Read Current Plugin State Read every file referenced in friction points. Understand current instruction, why it exists, what went wrong. ## Step 3: Gather Best Practices (targeted) Research content relevant to friction points: - Official Claude Code docs: https://code.claude.com/docs/en/overview - `@~/Documents/ai/superpowers` - `@~/Documents/ai/claude-code-tips` - `@~/Documents/ai/claude-code-best-practice` ## Step 4: Critical Evaluation — Friction Points Write verdicts in `docs/reports/ingest-YYYY-MM-DD.md`. | Verdict | Meaning | Burden | |---------|---------|--------| | **FIX** | Instruction is wrong, misleading, or causes repeated waste. Net simplification or correction. | HIGH | | **SKIP** | Edge case, model behavior, already handled, or fix adds more complexity. | LOW (default) | | **INVESTIGATE** | Insufficient information. | — | ### Mandatory Rejection Filters (ANY yes → SKIP) 1. Model ignored a clear instruction? → SKIP (compliance, not coverage) 2. Fix adds new rule/exception for a one-time event? → SKIP 3. Fix makes plugin longer with marginal improvement? → SKIP 4. Already covered by existing instructions? → SKIP 5. Would removing/shortening an instruction fix it better? → Only acceptable FIX direction | # | Friction Point | Verdict | Rejection filter? | Reasoning | |---|---------------|---------|-------------------|-----------| ## Step 5: Proposed Evals | Verdict | Meaning | |---------|---------| | **ADD** | Real scenario tied to a FIX verdict | | **SKIP** | Tied to SKIP, duplicates existing, or tests model behavior | | **MERGE** | Combine with existing eval | **Rule: ADD only if friction point is FIX.** Cross-reference `evals/evals.json` for duplicates. ## Step 6: Apply Changes **FIX verdicts only.** Surgical edits: - Prefer removing/shortening over adding - If adding words, remove at least as many elsewhere (net-zero or negative) - ADD evals: append to `evals.json` with next ID ## Step 7: Validate Verify `evals.json` is valid JSON. Run `pre-commit run` (if `.py` touched: `ruff format .` + `ruff check . --fix`). ## Step 8: Summary Report: FIX/SKIP/INVESTIGATE counts, files changed and why, evals added/merged/skipped, report location. **Expected: most friction points SKIP.** If >30% FIX, re-examine critical rigor.
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