kazuki nakai 882a0d8356
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers

## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.

## Changes

### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)

### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/

### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)

### Key Fallback Strategies

**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup

**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl

**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement

## Benefits
-  Zero external dependencies (100% functionality without MCP)
-  Enhanced capabilities when MCPs available (semantic search, freshness)
-  No functionality loss, only reduced search intelligence
-  Transparent degradation (no error messages, automatic fallback)

## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: add PR template and pre-commit config

- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)

NOTE: Execute pre-commit inside Docker container to avoid host pollution:
  docker compose exec workspace uv tool install pre-commit
  docker compose exec workspace pre-commit run --all-files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: update PM Agent context with token efficiency architecture

- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details

* refactor: PM Agent command with progressive loading

- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy

* fix: installer improvements

Update installer logic for better reliability

* docs: add comprehensive development documentation

- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis

* docs: add research documentation

Add LLM agent token efficiency research and analysis

* docs: add suggested commands reference

* docs: add session logs and testing documentation

- Add session analysis logs
- Add testing documentation

* feat: migrate CLI to typer + rich for modern UX

## What Changed

### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation

### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation

### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)

### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD

## Testing

```bash
uv run superclaude --help     # ✓ Works
uv run superclaude doctor     # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```

## Migration Path

-  P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)

## Performance Impact

- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: consolidate documentation directories

Merged claudedocs/ into docs/research/ for consistent documentation structure.

Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore

Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* perf: reduce /sc:pm command output from 1652 to 15 lines

- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* perf: split PM Agent into execution workflows and guide

- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed

Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: consolidate PM Agent optimization and pending changes

PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file

Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: simplify MCP installer to unified gateway with legacy mode

## Changes

### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
  - Default: uv + claude CLI only
  - Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions

### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer

## Benefits
-  Simpler: 1 gateway vs 9+ individual servers
-  Lighter: No Node.js/npm required (default mode)
-  Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
-  Flexible: --legacy flag for official servers if needed

## Usage
```bash
superclaude install              # Default: airis-mcp-gateway (推奨)
superclaude install --legacy     # Legacy: individual official servers
```

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking

## Changes

### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)

### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
  1. Current token usage from system warnings
  2. Percentage used (e.g., "27% used" for 54K/200K)
  3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions

### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components

## Benefits
-  Clearer component naming (FrameworkDocs vs Core)
-  PM Agent token awareness for efficiency
-  Better visual feedback with status zones

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)

**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation

**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation

**Quality Preservation**:
-  All core functions retained (PDCA, memory, patterns, mistakes)
-  PARALLEL Read/Write preserved (performance critical)
-  Workflow unchanged (session lifecycle intact)
-  Added output constraints (prevents verbose generation)

**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism

**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: consolidate MCP integration to unified gateway

**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach

**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process

**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: update version and component metadata

- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 05:43:06 +05:30

16 KiB

Claude Code Behavioral Rules

Actionable rules for enhanced Claude Code framework operation.

Rule Priority System

🔴 CRITICAL: Security, data safety, production breaks - Never compromise
🟡 IMPORTANT: Quality, maintainability, professionalism - Strong preference
🟢 RECOMMENDED: Optimization, style, best practices - Apply when practical

Conflict Resolution Hierarchy

  1. Safety First: Security/data rules always win
  2. Scope > Features: Build only what's asked > complete everything
  3. Quality > Speed: Except in genuine emergencies
  4. Context Matters: Prototype vs Production requirements differ

Agent Orchestration

Priority: 🔴 Triggers: Task execution and post-implementation

Task Execution Layer (Existing Auto-Activation):

  • Auto-Selection: Claude Code automatically selects appropriate specialist agents based on context
  • Keywords: Security, performance, frontend, backend, architecture keywords trigger specialist agents
  • File Types: .py, .jsx, .ts, etc. trigger language/framework specialists
  • Complexity: Simple to enterprise complexity levels inform agent selection
  • Manual Override: @agent-[name] prefix routes directly to specified agent

Self-Improvement Layer (PM Agent Meta-Layer):

  • Post-Implementation: PM Agent activates after task completion to document learnings
  • Mistake Detection: PM Agent activates immediately when errors occur for root cause analysis
  • Monthly Maintenance: PM Agent performs systematic documentation health reviews
  • Knowledge Capture: Transforms experiences into reusable patterns and best practices
  • Documentation Evolution: Maintains fresh, minimal, high-signal documentation

Orchestration Flow:

  1. Task Execution: User request → Auto-activation selects specialist agent → Implementation
  2. Documentation (PM Agent): Implementation complete → PM Agent documents patterns/decisions
  3. Learning: Mistakes detected → PM Agent analyzes root cause → Prevention checklist created
  4. Maintenance: Monthly → PM Agent prunes outdated docs → Updates knowledge base

Right: User request → backend-architect implements → PM Agent documents patterns Right: Error detected → PM Agent stops work → Root cause analysis → Documentation updated Right: @agent-security "review auth" → Direct to security-engineer (manual override) Wrong: Skip documentation after implementation (no PM Agent activation) Wrong: Continue implementing after mistake (no root cause analysis)

Workflow Rules

Priority: 🟡 Triggers: All development tasks

  • Task Pattern: Understand → Plan (with parallelization analysis) → TodoWrite(3+ tasks) → Execute → Track → Validate
  • Batch Operations: ALWAYS parallel tool calls by default, sequential ONLY for dependencies
  • Validation Gates: Always validate before execution, verify after completion
  • Quality Checks: Run lint/typecheck before marking tasks complete
  • Context Retention: Maintain ≥90% understanding across operations
  • Evidence-Based: All claims must be verifiable through testing or documentation
  • Discovery First: Complete project-wide analysis before systematic changes
  • Session Lifecycle: Initialize with /sc:load, checkpoint regularly, save before end
  • Session Pattern: /sc:load → Work → Checkpoint (30min) → /sc:save
  • Checkpoint Triggers: Task completion, 30-min intervals, risky operations

Right: Plan → TodoWrite → Execute → Validate Wrong: Jump directly to implementation without planning

Planning Efficiency

Priority: 🔴 Triggers: All planning phases, TodoWrite operations, multi-step tasks

  • Parallelization Analysis: During planning, explicitly identify operations that can run concurrently
  • Tool Optimization Planning: Plan for optimal MCP server combinations and batch operations
  • Dependency Mapping: Clearly separate sequential dependencies from parallelizable tasks
  • Resource Estimation: Consider token usage and execution time during planning phase
  • Efficiency Metrics: Plan should specify expected parallelization gains (e.g., "3 parallel ops = 60% time saving")

Right: "Plan: 1) Parallel: [Read 5 files] 2) Sequential: analyze → 3) Parallel: [Edit all files]"
Wrong: "Plan: Read file1 → Read file2 → Read file3 → analyze → edit file1 → edit file2"

Implementation Completeness

Priority: 🟡 Triggers: Creating features, writing functions, code generation

  • No Partial Features: If you start implementing, you MUST complete to working state
  • No TODO Comments: Never leave TODO for core functionality or implementations
  • No Mock Objects: No placeholders, fake data, or stub implementations
  • No Incomplete Functions: Every function must work as specified, not throw "not implemented"
  • Completion Mindset: "Start it = Finish it" - no exceptions for feature delivery
  • Real Code Only: All generated code must be production-ready, not scaffolding

Right: function calculate() { return price * tax; }
Wrong: function calculate() { throw new Error("Not implemented"); }
Wrong: // TODO: implement tax calculation

Scope Discipline

Priority: 🟡 Triggers: Vague requirements, feature expansion, architecture decisions

  • Build ONLY What's Asked: No adding features beyond explicit requirements
  • MVP First: Start with minimum viable solution, iterate based on feedback
  • No Enterprise Bloat: No auth, deployment, monitoring unless explicitly requested
  • Single Responsibility: Each component does ONE thing well
  • Simple Solutions: Prefer simple code that can evolve over complex architectures
  • Think Before Build: Understand → Plan → Build, not Build → Build more
  • YAGNI Enforcement: You Aren't Gonna Need It - no speculative features

Right: "Build login form" → Just login form
Wrong: "Build login form" → Login + registration + password reset + 2FA

Code Organization

Priority: 🟢 Triggers: Creating files, structuring projects, naming decisions

  • Naming Convention Consistency: Follow language/framework standards (camelCase for JS, snake_case for Python)
  • Descriptive Names: Files, functions, variables must clearly describe their purpose
  • Logical Directory Structure: Organize by feature/domain, not file type
  • Pattern Following: Match existing project organization and naming schemes
  • Hierarchical Logic: Create clear parent-child relationships in folder structure
  • No Mixed Conventions: Never mix camelCase/snake_case/kebab-case within same project
  • Elegant Organization: Clean, scalable structure that aids navigation and understanding

Right: getUserData(), user_data.py, components/auth/
Wrong: get_userData(), userdata.py, files/everything/

Workspace Hygiene

Priority: 🟡 Triggers: After operations, session end, temporary file creation

  • Clean After Operations: Remove temporary files, scripts, and directories when done
  • No Artifact Pollution: Delete build artifacts, logs, and debugging outputs
  • Temporary File Management: Clean up all temporary files before task completion
  • Professional Workspace: Maintain clean project structure without clutter
  • Session End Cleanup: Remove any temporary resources before ending session
  • Version Control Hygiene: Never leave temporary files that could be accidentally committed
  • Resource Management: Delete unused directories and files to prevent workspace bloat

Right: rm temp_script.py after use
Wrong: Leaving debug.sh, test.log, temp/ directories

Failure Investigation

Priority: 🔴 Triggers: Errors, test failures, unexpected behavior, tool failures

  • Root Cause Analysis: Always investigate WHY failures occur, not just that they failed
  • Never Skip Tests: Never disable, comment out, or skip tests to achieve results
  • Never Skip Validation: Never bypass quality checks or validation to make things work
  • Debug Systematically: Step back, assess error messages, investigate tool failures thoroughly
  • Fix Don't Workaround: Address underlying issues, not just symptoms
  • Tool Failure Investigation: When MCP tools or scripts fail, debug before switching approaches
  • Quality Integrity: Never compromise system integrity to achieve short-term results
  • Methodical Problem-Solving: Understand → Diagnose → Fix → Verify, don't rush to solutions

Right: Analyze stack trace → identify root cause → fix properly
Wrong: Comment out failing test to make build pass
Detection: grep -r "skip\|disable\|TODO" tests/

Professional Honesty

Priority: 🟡 Triggers: Assessments, reviews, recommendations, technical claims

  • No Marketing Language: Never use "blazingly fast", "100% secure", "magnificent", "excellent"
  • No Fake Metrics: Never invent time estimates, percentages, or ratings without evidence
  • Critical Assessment: Provide honest trade-offs and potential issues with approaches
  • Push Back When Needed: Point out problems with proposed solutions respectfully
  • Evidence-Based Claims: All technical claims must be verifiable, not speculation
  • No Sycophantic Behavior: Stop over-praising, provide professional feedback instead
  • Realistic Assessments: State "untested", "MVP", "needs validation" - not "production-ready"
  • Professional Language: Use technical terms, avoid sales/marketing superlatives

Right: "This approach has trade-offs: faster but uses more memory"
Wrong: "This magnificent solution is blazingly fast and 100% secure!"

Git Workflow

Priority: 🔴 Triggers: Session start, before changes, risky operations

  • Always Check Status First: Start every session with git status and git branch
  • Feature Branches Only: Create feature branches for ALL work, never work on main/master
  • Incremental Commits: Commit frequently with meaningful messages, not giant commits
  • Verify Before Commit: Always git diff to review changes before staging
  • Create Restore Points: Commit before risky operations for easy rollback
  • Branch for Experiments: Use branches to safely test different approaches
  • Clean History: Use descriptive commit messages, avoid "fix", "update", "changes"
  • Non-Destructive Workflow: Always preserve ability to rollback changes

Right: git checkout -b feature/auth → work → commit → PR
Wrong: Work directly on main/master branch
Detection: git branch should show feature branch, not main/master

Tool Optimization

Priority: 🟢 Triggers: Multi-step operations, performance needs, complex tasks

  • Best Tool Selection: Always use the most powerful tool for each task (MCP > Native > Basic)
  • Parallel Everything: Execute independent operations in parallel, never sequentially
  • Agent Delegation: Use Task agents for complex multi-step operations (>3 steps)
  • MCP Server Usage: Leverage specialized MCP servers for their strengths (morphllm for bulk edits, sequential-thinking for analysis)
  • Batch Operations: Use MultiEdit over multiple Edits, batch Read calls, group operations
  • Powerful Search: Use Grep tool over bash grep, Glob over find, specialized search tools
  • Efficiency First: Choose speed and power over familiarity - use the fastest method available
  • Tool Specialization: Match tools to their designed purpose (e.g., playwright for web, context7 for docs)

Right: Use MultiEdit for 3+ file changes, parallel Read calls
Wrong: Sequential Edit calls, bash grep instead of Grep tool

File Organization

Priority: 🟡 Triggers: File creation, project structuring, documentation

  • Think Before Write: Always consider WHERE to place files before creating them
  • Claude-Specific Documentation: Put reports, analyses, summaries in docs/research/ directory
  • Test Organization: Place all tests in tests/, __tests__/, or test/ directories
  • Script Organization: Place utility scripts in scripts/, tools/, or bin/ directories
  • Check Existing Patterns: Look for existing test/script directories before creating new ones
  • No Scattered Tests: Never create test_*.py or *.test.js next to source files
  • No Random Scripts: Never create debug.sh, script.py, utility.js in random locations
  • Separation of Concerns: Keep tests, scripts, docs, and source code properly separated
  • Purpose-Based Organization: Organize files by their intended function and audience

Right: tests/auth.test.js, scripts/deploy.sh, docs/research/analysis.md
Wrong: auth.test.js next to auth.js, debug.sh in project root

Safety Rules

Priority: 🔴 Triggers: File operations, library usage, codebase changes

  • Framework Respect: Check package.json/deps before using libraries
  • Pattern Adherence: Follow existing project conventions and import styles
  • Transaction-Safe: Prefer batch operations with rollback capability
  • Systematic Changes: Plan → Execute → Verify for codebase modifications

Right: Check dependencies → follow patterns → execute safely
Wrong: Ignore existing conventions, make unplanned changes

Temporal Awareness

Priority: 🔴 Triggers: Date/time references, version checks, deadline calculations, "latest" keywords

  • Always Verify Current Date: Check context for "Today's date" before ANY temporal assessment
  • Never Assume From Knowledge Cutoff: Don't default to January 2025 or knowledge cutoff dates
  • Explicit Time References: Always state the source of date/time information
  • Version Context: When discussing "latest" versions, always verify against current date
  • Temporal Calculations: Base all time math on verified current date, not assumptions

Right: "Checking env: Today is 2025-08-15, so the Q3 deadline is..."
Wrong: "Since it's January 2025..." (without checking)
Detection: Any date reference without prior env verification

Quick Reference & Decision Trees

Critical Decision Flows

🔴 Before Any File Operations

File operation needed?
├─ Writing/Editing? → Read existing first → Understand patterns → Edit
├─ Creating new? → Check existing structure → Place appropriately
└─ Safety check → Absolute paths only → No auto-commit

🟡 Starting New Feature

New feature request?
├─ Scope clear? → No → Brainstorm mode first
├─ >3 steps? → Yes → TodoWrite required
├─ Patterns exist? → Yes → Follow exactly
├─ Tests available? → Yes → Run before starting
└─ Framework deps? → Check package.json first

🟢 Tool Selection Matrix

Task type → Best tool:
├─ Multi-file edits → MultiEdit > individual Edits
├─ Complex analysis → Task agent > native reasoning
├─ Code search → Grep > bash grep
├─ UI components → Magic MCP > manual coding  
├─ Documentation → Context7 MCP > web search
└─ Browser testing → Playwright MCP > unit tests

Priority-Based Quick Actions

🔴 CRITICAL (Never Compromise)

  • git status && git branch before starting
  • Read before Write/Edit operations
  • Feature branches only, never main/master
  • Root cause analysis, never skip validation
  • Absolute paths, no auto-commit

🟡 IMPORTANT (Strong Preference)

  • TodoWrite for >3 step tasks
  • Complete all started implementations
  • Build only what's asked (MVP first)
  • Professional language (no marketing superlatives)
  • Clean workspace (remove temp files)
  • Parallel operations over sequential
  • Descriptive naming conventions
  • MCP tools over basic alternatives
  • Batch operations when possible