| name | Implementing Features |
| description | Execute specification-driven implementation with automatic quality gates, multi-agent orchestration, and progress tracking. Use when building features from specs, fixing bugs with test coverage, or refactoring with validation. |
| allowed-tools | ["Read","Write","Edit","MultiEdit","Bash","Glob","Grep","TodoWrite","Task"] |
Implementing Features
I help you execute production-quality implementations with auto-detected language standards, intelligent agent orchestration, and specification integration.
When to Use Me
Auto-activate when:
- Invoked via
/quaestor:implement slash command
- User mentions "build [specific feature]" or "fix [specific bug]" with context
- Continuing implementation after planning phase is complete
- User says "continue implementation" or "resume implementing"
- Coordinating multi-agent implementation of an active specification
Do NOT auto-activate when:
- User says only "implement" or "implement it" (slash command handles this)
- User is still in planning/research phase
- Request is vague without feature details
Supporting Files
This skill uses several supporting files for detailed workflows:
- @WORKFLOW.md - 4-phase implementation process (Discovery → Planning → Implementation → Validation)
- @AGENTS.md - Agent orchestration strategies and coordination patterns
- @QUALITY.md - Language-specific quality standards and validation gates
- @SPECS.md - Specification integration and tracking protocols
My Process
I follow a structured 4-phase workflow to ensure quality and completeness:
Phase 1: Discovery & Research 🔍
Specification Integration:
- Check
.quaestor/specs/active/ for in-progress work
- Search
.quaestor/specs/draft/ for matching specifications
- Move draft spec → active folder (if space available, max 3)
- Update spec status → "in_progress"
Research Protocol:
- Analyze codebase patterns & conventions
- Identify dependencies & integration points
- Determine required agents based on task requirements
See @WORKFLOW.md Phase 1 for complete discovery process
Phase 2: Planning & Approval 📋
Present Implementation Strategy:
- Architecture decisions & trade-offs
- File changes & new components required
- Quality gates & validation approach
- Risk assessment & mitigation
MANDATORY: Get user approval before proceeding
See @WORKFLOW.md Phase 2 for planning details
Phase 3: Implementation ⚡
Agent Orchestration:
- Multi-file operations → Use researcher + implementer agents
- System refactoring → Use architect + refactorer agents
- Test creation → Use qa agent for comprehensive coverage
- Security implementation → Use security + implementer agents
Quality Cycle (every 3 edits):
Execute → Validate → Fix (if ❌) → Continue
See @AGENTS.md for complete agent coordination strategies
Phase 4: Validation & Completion ✅
Quality Validation:
- Detect project language (Python, Rust, JS/TS, Go, or Generic)
- Load language-specific standards from @QUALITY.md
- Run validation pipeline for detected language
- Fix any issues and re-validate
Completion Criteria:
- ✅ All tests passing
- ✅ Zero linting errors
- ✅ Type checking clean (if applicable)
- ✅ Documentation complete
- ✅ Specification status updated
See @QUALITY.md for dispatch to language-specific standards:
@languages/PYTHON.md - Python projects@languages/RUST.md - Rust projects@languages/JAVASCRIPT.md - JS/TS projects@languages/GO.md - Go projects@languages/GENERIC.md - Other languages
Auto-Intelligence
Project Detection
- Language: Auto-detect → Python|Rust|JS|Generic standards
- Scope: Assess changes → Single-file|Multi-file|System-wide
- Context: Identify requirements → architecture|security|testing|refactoring
Execution Strategy
- System-wide: Comprehensive planning with multiple agent coordination
- Feature Development: Iterative implementation with testing
- Bug Fixes: Focused resolution with validation
Agent Coordination
I coordinate with specialized agents based on task requirements:
- workflow-coordinator - First! Validates workflow state and ensures planning phase completed
- implementer - Builds features according to specification
- architect - Designs system architecture when needed
- security - Reviews auth, encryption, or access control
- qa - Creates comprehensive tests alongside implementation
- refactorer - Ensures consistency across multiple files
- researcher - Maps dependencies for multi-file changes
See @AGENTS.md for agent chaining patterns and coordination strategies
Specification Integration
Auto-Update Protocol:
Pre-Implementation:
- Check
.quaestor/specs/draft/ for matching spec ID
- Move spec from draft/ → active/ (max 3 active)
- Declare: "Working on Spec: [ID] - [Title]"
- Update phase status in spec file
Post-Implementation:
- Update phase status → "completed"
- Track acceptance criteria completion
- Move spec to completed/ when all phases done
- Create git commit with spec reference
See @SPECS.md for complete specification integration details
Quality Gates
Code Quality Checkpoints:
- Function exceeds 50 lines → Use refactorer agent to break into smaller functions
- Nesting depth exceeds 3 → Use refactorer agent to simplify logic
- Circular dependencies detected → Use architect agent to review design
- Performance implications unclear → Use implementer agent to add measurements
See @QUALITY.md for language-specific quality gates and standards
Success Criteria
- ✅ Workflow coordinator validates planning phase completed
- ✅ Specification identified and moved to active/
- ✅ User approval obtained for implementation strategy
- ✅ All quality gates passed (linting, tests, type checking)
- ✅ Documentation updated
- ✅ Specification status updated and tracked
- ✅ Ready for review phase
Final Response
When implementation is complete:
Implementation complete. All quality gates passed.
Specification [ID] updated to completed status.
Ready for review and PR creation.
See @WORKFLOW.md for complete workflow details
Intelligent implementation with agent orchestration, quality gates, and specification tracking
