[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
AI Mistake Prevention — Failure modes to avoid on every task: - Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. - Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. - Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. - Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. - When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. - Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. - Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. - Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. - Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. - Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code. 1. Search 3+ similar patterns (grep/glob) — citefile:lineevidence 2. Read existing files in target area — understand structure, base classes, conventions 3. Runpython.claude/scripts/code_graph trace <file> --direction both --jsonwhen.code-graph/graph.dbexists 4. Map dependencies viaconnectionsorcallers_of— know what depends on your target 5. Write investigation to.ai/workspace/analysis/for non-trivial tasks (3+ files) 6. Re-read analysis file before implementing — never work from memory alone 7. NEVER invent new patterns when existing ones work — match exactly or document deviation BLOCKED until:- []Read target files- []Grep 3+ patterns- []Graph trace (if graph.db exists)- []Assumptions verified with evidence
docs/project-reference/domain-entities-reference.md— Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (content auto-injected by hook — check for [Injected:...] header before reading)docs/specs/— Test specifications by module (read existing TCs; generate/update test specs via/tdd-specafter implementation)
Plan Quality — Every plan phase MUST ATTENTION include test specifications. 1. Add## Test Specificationssection with TC-{FEAT}-{NNN} IDs to every phase file 2. Map every functional requirement to ≥1 TC (or explicitTBDwith rationale) 3. TC IDs followTC-{FEATURE}-{NNN}format — reference by ID, never embed full content 4. Before any new workflow step: callTaskListand re-read the phase file 5. On context compaction: callTaskListFIRST — never create duplicate tasks 6. Verify TC satisfaction per phase before marking complete (evidence must befile:line, not TBD) Mode: TDD-first → reference existing TCs withEvidence: TBD. Implement-first → use TBD →/tdd-specfills after.
Rationalization Prevention — AI skips steps via these evasions. Recognize and reject: | Evasion | Rebuttal | | --- | --- | | "Too simple for a plan" | Simple + wrong assumptions = wasted time. Plan anyway. | | "I'll test after" | RED before GREEN. Write/verify test first. | | "Already searched" | Show grep evidence with file:line. No proof = no search. | | "Just do it" | Still need TaskCreate. Skip depth, never skip tracking. | | "Just a small fix" | Small fix in wrong location cascades. Verify file:line first. | | "Code is self-explanatory" | Future readers need evidence trail. Document anyway. | | "Combine steps to save time" | Combined steps dilute focus. Each step has distinct purpose. |Red Flag Stop Conditions — STOP and escalate to user via AskUserQuestion when: 1. Confidence drops below 60% on any critical decision 2. Changes would affect >20 files (blast radius too large) 3. Cross-service boundary is being crossed 4. Security-sensitive code (auth, crypto, PII handling) 5. Breaking change detected (interface, API contract, DB schema) 6. Test coverage would decrease after changes 7. Approach requires technology/pattern not in the project NEVER proceed past a red flag without explicit user approval.
Skill Variant: Variant of /cook — autonomous parallel execution with fullstack-developer subagents.Quick Summary
Goal: Plan parallel-executable phases and dispatch to fullstack-developer subagents for concurrent implementation.
Workflow:
- Plan — Create plan with parallel-executable phases (strict file ownership)
- Dispatch — Launch fullstack-developer subagents per phase
- Merge — Integrate results and verify
Key Rules:
- Each subagent owns specific files; no cross-boundary edits
- Autonomous mode: no user confirmation between phases
- Break work into todo tasks; add final self-review task
Ultrathink parallel to implement: $ARGUMENTS
IMPORTANT: Activate needed skills. Ensure token efficiency. Sacrifice grammar for concision.
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Workflow
1. Research (Optional)
- Use max 2
researcheragents in parallel if tasks complex - Use
/scout-extto search codebase - Keep reports ≤150 lines
- External Memory: Write research to
.ai/workspace/analysis/{task-name}.analysis.md. Re-read before parallel execution.
2. Parallel Planning
- Trigger
/plan-parallel <detailed-instruction> - Wait for plan with dependency graph, execution strategy, file ownership matrix
3. Parallel Implementation
- Read
plan.mdfor dependency graph - Launch multiple
fullstack-developeragents in PARALLEL for concurrent phases
- Example: "Phases 1-3 parallel" → launch 3 agents simultaneously - Pass phase file path: {plan-dir}/phase-XX-*.md - Include environment info
- Wait for all parallel phases complete before dependent phases
- Sequential phases: launch one agent at a time
4. Testing
- Use
testersubagent for full test suite - NO fake data/mocks/cheats
- If fail: use
debugger, fix, repeat
5. Code Review
- Use
code-reviewerfor all changes - If critical issues: fix, retest
6. Project Management & Docs
- If approved: use
project-manager+docs-managerin parallel - Update plan files, docs, roadmap
- If rejected: fix and repeat
7. Final Report
- Summary of all parallel phases
- Guide to get started
- Ask to commit (use
git-managerif yes)
Example: Phases 1-3 parallel → Launch 3 fullstack-developer agents → Wait → Phase 4 sequential
Next Steps (Standalone: MUST ATTENTION ask user via AskUserQuestion. Skip if inside workflow.)
MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS: If this skill was called outside a workflow, you MUST ATTENTION use AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:- "Proceed with full workflow (Recommended)" — I'll detect the best workflow to continue from here (feature implemented). This ensures review, testing, and docs steps aren't skipped.
- "/code-simplifier" — Simplify and clean up implementation
- "/workflow-review-changes" — Review changes before commit
- "Skip, continue manually" — user decides
If already inside a workflow, skip — the workflow handles sequencing.
Closing Reminders
- MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using
TaskCreateBEFORE starting - MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
- MANDATORY IMPORTANT MUST ATTENTION cite
file:lineevidence for every claim (confidence >80% to act) - MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
- MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via
AskUserQuestion— never auto-decide - MANDATORY IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists.
- MANDATORY IMPORTANT MUST ATTENTION include
## Test Specificationswith TC IDs per phase. CallTaskListbefore creating new tasks. - MANDATORY IMPORTANT MUST ATTENTION follow ALL steps regardless of perceived simplicity. "Too simple to plan" is an evasion, not a reason.
- MANDATORY IMPORTANT MUST ATTENTION STOP after 3 failed fix attempts. Report all attempts, ask user before continuing.
- MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
- MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.