Implementing Features

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.

16 stars

Best use case

Implementing Features is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using Implementing Features should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/implementing-features/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/product/implementing-features/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/implementing-features/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Implementing Features Compares

Feature / AgentImplementing FeaturesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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:**
1. Detect project language (Python, Rust, JS/TS, Go, or Generic)
2. Load language-specific standards from @QUALITY.md
3. Run validation pipeline for detected language
4. 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*

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