EasyPlatform cook-parallel

[Implementation] Parallel implementation - multiple tasks simultaneously

install
source · Clone the upstream repo
git clone https://github.com/duc01226/EasyPlatform
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/cook-parallel" ~/.claude/skills/duc01226-easyplatform-cook-parallel && rm -rf "$T"
manifest: .claude/skills/cook-parallel/SKILL.md
source content

[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.

<!-- SYNC:critical-thinking-mindset -->

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.

<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->

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.
<!-- /SYNC:ai-mistake-prevention --> <!-- SYNC:understand-code-first -->

Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code.

  1. Search 3+ similar patterns (
    grep
    /
    glob
    ) — cite
    file:line
    evidence
  2. Read existing files in target area — understand structure, base classes, conventions
  3. Run
    python .claude/scripts/code_graph trace <file> --direction both --json
    when
    .code-graph/graph.db
    exists
  4. Map dependencies via
    connections
    or
    callers_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

<!-- /SYNC:understand-code-first -->
  • 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/test-specs/
    — Test specifications by module (read existing TCs; generate/update test specs via
    /tdd-spec
    after implementation)
<!-- SYNC:plan-quality -->

Plan Quality — Every plan phase MUST ATTENTION include test specifications.

  1. Add
    ## Test Specifications
    section with TC-{FEAT}-{NNN} IDs to every phase file
  2. Map every functional requirement to ≥1 TC (or explicit
    TBD
    with rationale)
  3. TC IDs follow
    TC-{FEATURE}-{NNN}
    format — reference by ID, never embed full content
  4. Before any new workflow step: call
    TaskList
    and re-read the phase file
  5. On context compaction: call
    TaskList
    FIRST — never create duplicate tasks
  6. Verify TC satisfaction per phase before marking complete (evidence must be
    file:line
    , not TBD)

Mode: TDD-first → reference existing TCs with

Evidence: TBD
. Implement-first → use TBD →
/tdd-spec
fills after.

<!-- /SYNC:plan-quality --> <!-- SYNC:rationalization-prevention -->

Rationalization Prevention — AI skips steps via these evasions. Recognize and reject:

EvasionRebuttal
"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.
<!-- /SYNC:rationalization-prevention --> <!-- SYNC:red-flag-stop-conditions -->

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.

<!-- /SYNC:red-flag-stop-conditions -->

Skill Variant: Variant of

/cook
— parallel multi-task implementation with subagents.

Quick Summary

Goal: Implement multiple independent tasks simultaneously using parallel fullstack-developer subagents.

Workflow:

  1. Plan — Create plan with parallel phases and strict file ownership
  2. Dispatch — Launch fullstack-developer subagents per phase
  3. Merge — Integrate all changes and verify
  4. Review — Run code-simplifier and review-changes

Key Rules:

  • Phases must have non-overlapping file ownership
  • User approval required before dispatching subagents
  • Break work into todo tasks; add final self-review task

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Execute these tasks in parallel for maximum efficiency: <tasks>$ARGUMENTS</tasks>

Mode: PARALLEL - Multiple subagents working concurrently.

Workflow

1. Task Decomposition

  • Analyze tasks for independence
  • Group into parallelizable work units
  • Identify dependencies between units
  • Create dependency graph
  • External Memory: Write task analysis to
    .ai/workspace/analysis/{task-name}.analysis.md
    . Re-read before parallel dispatch.

2. Parallel Research (if needed)

Launch multiple

researcher
subagents simultaneously:

Task A research ──┐
Task B research ──┼──► Synthesis
Task C research ──┘

3. Parallel Planning

  • Use
    planner
    subagent with synthesized research
  • Create plan with parallel-safe phases
  • Mark file ownership boundaries (prevent conflicts)

4. Parallel Implementation

Launch multiple

fullstack-developer
subagents:

Phase 1 (Backend API) ──┐
Phase 2 (Frontend UI) ──┼──► Integration
Phase 3 (Tests)       ──┘

Critical: Each subagent must stay within file ownership boundaries.

5. Integration & Testing

  • Merge parallel outputs
  • Use
    tester
    subagent for integration tests
  • Use
    debugger
    if integration issues found

6. Review & Report

  • Use
    code-reviewer
    for final review
  • Consolidate all changes
  • Report to user

Parallelization Rules

RuleDescription
File OwnershipEach subagent owns specific files - no overlap
Dependency OrderRespect dependency graph
Max Concurrent3 subagents max to prevent conflicts
Sync PointsIntegration checkpoints between phases

When to Use

  • Multi-component features (backend + frontend)
  • Large refactoring across independent modules
  • Parallel test writing
  • Documentation updates alongside code

Example Task Split

"Add user authentication with login UI"
├── Backend API (subagent 1)
│   ├── auth-controller.ts
│   └── auth-service.ts
├── Frontend UI (subagent 2)
│   ├── login-page.component.ts
│   └── login-form.component.ts
└── Tests (subagent 3)
    ├── auth.spec.ts
    └── login.e2e.ts

Trade-offs

AspectParallelSequential
Speed~2-3x fasterBaseline
CoordinationHigher complexitySimple
ConflictsRisk of merge issuesNone
ContextSplit across agentsUnified

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
    TaskCreate
    BEFORE starting
  • MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • MANDATORY IMPORTANT MUST ATTENTION cite
    file:line
    evidence 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 READ the following files before starting: <!-- SYNC:understand-code-first:reminder -->
  • MANDATORY IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists. <!-- /SYNC:understand-code-first:reminder --> <!-- SYNC:plan-quality:reminder -->
  • MANDATORY IMPORTANT MUST ATTENTION include
    ## Test Specifications
    with TC IDs per phase. Call
    TaskList
    before creating new tasks. <!-- /SYNC:plan-quality:reminder --> <!-- SYNC:rationalization-prevention:reminder -->
  • MANDATORY IMPORTANT MUST ATTENTION follow ALL steps regardless of perceived simplicity. "Too simple to plan" is an evasion, not a reason. <!-- /SYNC:rationalization-prevention:reminder --> <!-- SYNC:red-flag-stop-conditions:reminder -->
  • MANDATORY IMPORTANT MUST ATTENTION STOP after 3 failed fix attempts. Report all attempts, ask user before continuing. <!-- /SYNC:red-flag-stop-conditions:reminder --> <!-- SYNC:critical-thinking-mindset:reminder -->
  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->