Multi-topic batch. The big-ticket item is the skills audit; the rest are smaller patches that compounded during the audit work. ## Skills audit (rules→recipes split) Vendored all 26 skills from /home/samkintop/opt/skills/ into data/skills/ (the boocode-repo-local skill library — see docker-compose change below). Audited via 5 parallel Claude Code agent-teams running the mgechev/skills-best-practices 4-step protocol (Discovery → Logic → Edge Case → self-Architecture-Refinement) per skill, ~2 min wall-clock vs the ~3.7-hour serial estimate. Result: 14 skills surviving (renamed to gerund form, frontmatter matched), 11 deleted (duplicates, BooCode-irrelevant patterns, Claude-already-does- natively), 1 migrated to BOOCHAT.md/BOOCODER.md as an always-true rule (verification-before-completion). Each surviving skill had its description refined to fix specific trigger gaps surfaced by the protocol — 4 real-bug findings landed (dead refs, stale tags, broken sub-file references in the original vendored content). Audit decisions documented in openspec/changes/v1.13.12-skills-audit/ audit-notes.md. Convention codified in BOOCHAT.md/BOOCODER.md "rules vs recipes" sections — future workflow rules go to those files (100% present), recipes stay in data/skills/ (~6% invoke rate in multi-turn per the Codeminer42 measurement). ## Token tracking + stale-stream banner fix (same root cause) ws-frames.ts IsoTimestamp was z.string().min(1) but postgres returns timestamp columns as JS Date objects. Every message_complete / session_updated / chat_updated frame was failing the v1.13.11 Zod gate and being silently dropped. Symptoms: token tracking blank in the UI (no usage frames landed); the 60s no-token-activity timer tripped the stale-stream banner because the frontend's local message state never saw status='streaming' flip to 'complete'. Fix: z.preprocess(v => v instanceof Date ? v.toISOString() : v, z.string().min(1)) applied to the IsoTimestamp primitive. Centralized, no publisher changes, works identically server + web (the parity test still passes). ## Codecontext .codecontextignore auto-install services/codecontext_client.ts now copies the codecontext/.codecontextignore.template into any project's root on the first call to that project if no .codecontextignore exists. One file written per project, idempotent (in-memory Set guard + access-check), silent fallback on read-only project. Stops the upstream empty-source- file parser crash on foreign projects' node_modules — previously required manually copying the template per project. ## Tool-call budget cap 30 → 50 services/inference/budget.ts: BUDGET_READ_ONLY and BUDGET_NO_AGENT bumped to 50 (from 30). BUDGET_NON_READ_ONLY stays at 10 (no write tools landed yet). Real recon sessions were hitting 30 with ~3 turns wasted on codecontext parse failures; legitimate need was ~27, and Architect-class system overviews want deeper recon. Headroom of 20 absorbs failure-retry turns without changing the safety floor — the doom-loop guard (3 identical calls → abort) catches the actual failure mode this cap was guarding against. v1.14 (Phase C outer agent loop) will supersede this via per-agent agent.steps. Throwaway-ish patch but unblocks deeper recon today. ## UI cleanups - ChatPane queued-message dropdown removed. Each queued message now has three buttons: edit (pop back into ChatInput via sendToChat event), force-send (was the dropdown's only useful action), and cancel. Default behavior (send when streaming completes) needs no UI — it's the implicit do-nothing path. - ChatThroughput removed from desktop tab strip (ChatTabBar.tsx). Mobile tab switcher still shows it. ## Plumbing - .gitignore: data/* + !data/AGENTS.md + !data/skills/ negation patterns so the vendored skill library + agent registry become git-tracked while session DB state stays out. - docker-compose.yml: removed /opt/skills:/data/skills override mount. Skills now live in the boocode repo at data/skills/, auditable per-batch. The host-level /opt/skills/ is preserved untouched for any other tools that read from it. - .codecontextignore at repo root: auto-installed when codecontext was first called against /opt/boocode itself; matches the template. - CLAUDE.md: updated to document the v1.13.11 publishFrame wrapper + message_parts table + tool_cost_stats view + DB-integration test pattern + host-side smoke endpoint quirk. (Pre-existing in working tree before this batch; shipped here for completeness.) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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name, description
| name | description |
|---|---|
| receiving-code-review | Use when receiving any code review feedback (PR comments, inline suggestions, teammate feedback) before implementing suggestions - requires technical rigor and verification, not performative agreement or blind implementation |
Code Review Reception
Overview
Code review requires technical evaluation, not emotional performance.
Core principle: Verify before implementing. Ask before assuming. Technical correctness over social comfort.
The Response Pattern
WHEN receiving code review feedback:
1. READ: Complete feedback without reacting
2. UNDERSTAND: Restate requirement in own words (or ask)
3. VERIFY: Check against codebase reality
4. EVALUATE: Technically sound for THIS codebase?
5. RESPOND: Technical acknowledgment or reasoned pushback
6. IMPLEMENT: One item at a time, test each
Forbidden Responses
NEVER:
- "You're absolutely right!" (explicit CLAUDE.md violation)
- "Great point!" / "Excellent feedback!" (performative)
- "Let me implement that now" (before verification)
INSTEAD:
- Restate the technical requirement
- Ask clarifying questions
- Push back with technical reasoning if wrong
- Just start working (actions > words)
Handling Unclear Feedback
IF any item is unclear:
STOP - do not implement anything yet
ASK for clarification on unclear items
WHY: Items may be related. Partial understanding = wrong implementation.
Example:
your human partner: "Fix 1-6"
You understand 1,2,3,6. Unclear on 4,5.
❌ WRONG: Implement 1,2,3,6 now, ask about 4,5 later
✅ RIGHT: "I understand items 1,2,3,6. Need clarification on 4 and 5 before proceeding."
Source-Specific Handling
From your human partner
- Trusted - implement after understanding
- Still ask if scope unclear
- No performative agreement
- Skip to action or technical acknowledgment
From External Reviewers
BEFORE implementing:
1. Check: Technically correct for THIS codebase?
2. Check: Breaks existing functionality?
3. Check: Reason for current implementation?
4. Check: Works on all platforms/versions?
5. Check: Does reviewer understand full context?
IF suggestion seems wrong:
Push back with technical reasoning
IF can't easily verify:
Say so: "I can't verify this without [X]. Should I [investigate/ask/proceed]?"
IF conflicts with your human partner's prior decisions:
Stop and discuss with your human partner first
your human partner's rule: "External feedback - be skeptical, but check carefully"
YAGNI Check for "Professional" Features
IF reviewer suggests "implementing properly":
grep codebase for actual usage
IF unused: "This endpoint isn't called. Remove it (YAGNI)?"
IF used: Then implement properly
your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it."
Implementation Order
FOR multi-item feedback:
1. Clarify anything unclear FIRST
2. Then implement in this order:
- Blocking issues (breaks, security)
- Simple fixes (typos, imports)
- Complex fixes (refactoring, logic)
3. Test each fix individually
4. Verify no regressions
When To Push Back
Push back when:
- Suggestion breaks existing functionality
- Reviewer lacks full context
- Violates YAGNI (unused feature)
- Technically incorrect for this stack
- Legacy/compatibility reasons exist
- Conflicts with your human partner's architectural decisions
How to push back:
- Use technical reasoning, not defensiveness
- Ask specific questions
- Reference working tests/code
- Involve your human partner if architectural
Signal if uncomfortable pushing back out loud: "Strange things are afoot at the Circle K"
Acknowledging Correct Feedback
When feedback IS correct:
✅ "Fixed. [Brief description of what changed]"
✅ "Good catch - [specific issue]. Fixed in [location]."
✅ [Just fix it and show in the code]
❌ "You're absolutely right!"
❌ "Great point!"
❌ "Thanks for catching that!"
❌ "Thanks for [anything]"
❌ ANY gratitude expression
Why no thanks: Actions speak. Just fix it. The code itself shows you heard the feedback.
If you catch yourself about to write "Thanks": DELETE IT. State the fix instead.
Gracefully Correcting Your Pushback
If you pushed back and were wrong:
✅ "You were right - I checked [X] and it does [Y]. Implementing now."
✅ "Verified this and you're correct. My initial understanding was wrong because [reason]. Fixing."
❌ Long apology
❌ Defending why you pushed back
❌ Over-explaining
State the correction factually and move on.
Common Mistakes
| Mistake | Fix |
|---|---|
| Performative agreement | State requirement or just act |
| Blind implementation | Verify against codebase first |
| Batch without testing | One at a time, test each |
| Assuming reviewer is right | Check if breaks things |
| Avoiding pushback | Technical correctness > comfort |
| Partial implementation | Clarify all items first |
| Can't verify, proceed anyway | State limitation, ask for direction |
Real Examples
Performative Agreement (Bad):
Reviewer: "Remove legacy code"
❌ "You're absolutely right! Let me remove that..."
Technical Verification (Good):
Reviewer: "Remove legacy code"
✅ "Checking... build target is 10.15+, this API needs 13+. Need legacy for backward compat. Current impl has wrong bundle ID - fix it or drop pre-13 support?"
YAGNI (Good):
Reviewer: "Implement proper metrics tracking with database, date filters, CSV export"
✅ "Grepped codebase - nothing calls this endpoint. Remove it (YAGNI)? Or is there usage I'm missing?"
Unclear Item (Good):
your human partner: "Fix items 1-6"
You understand 1,2,3,6. Unclear on 4,5.
✅ "Understand 1,2,3,6. Need clarification on 4 and 5 before implementing."
GitHub Thread Replies
When replying to inline review comments on GitHub, reply in the comment thread (gh api repos/{owner}/{repo}/pulls/{pr}/comments/{id}/replies), not as a top-level PR comment.
The Bottom Line
External feedback = suggestions to evaluate, not orders to follow.
Verify. Question. Then implement.
No performative agreement. Technical rigor always.