EasyPlatform cook-hard

[Implementation] Thorough implementation with maximum verification

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 "$T/.claude/skills/cook-hard" ~/.claude/skills/duc01226-easyplatform-cook-hard && rm -rf "$T"
manifest: .claude/skills/cook-hard/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 -->

Skill Variant: Variant of

/cook
— thorough implementation with maximum verification.

Quick Summary

Goal: Implement features with deep research, comprehensive planning, and maximum quality verification.

Workflow:

  1. Research — Deep investigation with multiple researcher subagents
  2. Plan — Detailed plan with
    /plan-hard
    , user approval required
  3. Implement — Execute with full code review and SRE review
  4. Verify — Run all tests, review changes, update docs

Key Rules:

  • Maximum thoroughness: research → plan → implement → review → test → docs
  • User approval required at plan stage
  • Break work into todo tasks; add final self-review task

Frontend/UI Context (if applicable)

When this task involves frontend or UI changes,

<!-- SYNC:ui-system-context -->

UI System Context — For ANY task touching

.ts
,
.html
,
.scss
, or
.css
files:

MUST ATTENTION READ before implementing:

  1. docs/project-reference/frontend-patterns-reference.md
    — component base classes, stores, forms
  2. docs/project-reference/scss-styling-guide.md
    — BEM methodology, SCSS variables, mixins, responsive
  3. docs/project-reference/design-system/README.md
    — design tokens, component inventory, icons

Reference

docs/project-config.json
for project-specific paths.

<!-- /SYNC:ui-system-context -->
  • Component patterns:
    docs/project-reference/frontend-patterns-reference.md
  • Styling/BEM guide:
    docs/project-reference/scss-styling-guide.md
  • Design system tokens:
    docs/project-reference/design-system/README.md

Ultrathink to plan and implement these tasks with maximum verification:

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

<tasks>$ARGUMENTS</tasks>

Mode: HARD - Extra research, detailed planning, mandatory reviews.

Workflow

1. Deep Research Phase

  • Launch 2-3
    researcher
    subagents in parallel covering:
    • Technical approach validation
    • Edge cases and failure modes
    • Security implications
    • Performance considerations
  • Use
    /scout-ext
    for comprehensive codebase analysis
  • Generate research reports (max 150 lines each)
  • External Memory: Write all research to
    .ai/workspace/analysis/{task-name}.analysis.md
    . Re-read ENTIRE file before planning.
<!-- SYNC:graph-assisted-investigation -->

Graph-Assisted Investigation — MANDATORY when

.code-graph/graph.db
exists.

HARD-GATE: MUST ATTENTION run at least ONE graph command on key files before concluding any investigation.

Pattern: Grep finds files →

trace --direction both
reveals full system flow → Grep verifies details

TaskMinimum Graph Action
Investigation/Scout
trace --direction both
on 2-3 entry files
Fix/Debug
callers_of
on buggy function +
tests_for
Feature/Enhancement
connections
on files to be modified
Code Review
tests_for
on changed functions
Blast Radius
trace --direction downstream

CLI:

python .claude/scripts/code_graph {command} --json
. Use
--node-mode file
first (10-30x less noise), then
--node-mode function
for detail.

<!-- /SYNC:graph-assisted-investigation -->

After implementing, run

python .claude/scripts/code_graph connections <file> --json
on modified files to verify no related files need updates.

Graph-Trace Before Implementation

When graph DB is available, BEFORE writing code, trace to understand the blast radius:

  • python .claude/scripts/code_graph trace <file-to-modify> --direction both --json
    — see what calls this code AND what it triggers
  • python .claude/scripts/code_graph trace <file-to-modify> --direction downstream --json
    — see all downstream consumers
  • This prevents breaking implicit dependencies (bus message consumers, event handlers)

2. Comprehensive Planning

  • Use
    planner
    subagent with all research reports
  • Create full plan directory with:
    • plan.md
      - Overview with risk assessment
    • phase-XX-*.md
      - Detailed phase files
    • Success criteria for each phase
    • Rollback strategy

3. Verified Implementation

  • Implement one phase at a time
  • After each phase:
    • Run type-check and compile
    • Run relevant tests
    • Self-review before proceeding

Batch Checkpoint (Large Plans)

For plans with 10+ tasks, execute in batches with human review:

  1. Execute batch — Complete next 3 tasks (or user-specified batch size)
  2. Report — Show what was implemented, verification output, any concerns
  3. Wait — Say "Ready for feedback" and STOP. Do NOT continue automatically.
  4. Apply feedback — Incorporate changes, then execute next batch
  5. Repeat until all tasks complete
<HARD-GATE> For plans with 10+ tasks, do NOT execute all tasks continuously without checkpoint. Stop after every batch for human review. This prevents runaway execution where early mistakes compound through later tasks. </HARD-GATE>

4. Mandatory Testing

  • Use
    tester
    subagent for full test coverage
  • Write tests for:
    • Happy path scenarios
    • Edge cases from research
    • Error handling paths
  • NO mocks or fake data allowed
  • Repeat until all tests pass

5. Mandatory Code Review

  • Use
    code-reviewer
    subagent
  • Address all critical and major findings
  • Re-run tests after fixes
  • Repeat until approved

6. Documentation Update

  • Use
    docs-manager
    to update relevant docs
  • Use
    project-manager
    to update project status
  • Record any architectural decisions

7. Final Report

  • Summary of all changes
  • Test coverage metrics
  • Security considerations addressed
  • Unresolved questions (if any)
  • Ask user to review and approve

When to Use

  • Critical production features
  • Security-sensitive changes
  • Public API modifications
  • Database schema changes
  • Cross-service integrations

Quality Gates

GateCriteria
Research2+ researcher reports
PlanningFull plan directory
TestsAll pass, no mocks
Review0 critical/major findings
DocsUpdated if needed

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:ui-system-context:reminder -->
  • MANDATORY IMPORTANT MUST ATTENTION read frontend-patterns-reference, scss-styling-guide, design-system/README before any UI change. <!-- /SYNC:ui-system-context:reminder --> <!-- SYNC:graph-assisted-investigation:reminder -->
  • MANDATORY IMPORTANT MUST ATTENTION run at least ONE graph command on key files when graph.db exists. Pattern: grep → graph trace → grep verify. <!-- /SYNC:graph-assisted-investigation: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 -->