| name | sc-implement |
| description | Feature implementation with intelligent persona activation, task orchestration, and MCP integration. Use when implementing features, APIs, components, services, or coordinating multi-agent development. Triggers on requests for code implementation, feature development, or complex task orchestration. |
Implementation Skill
Comprehensive feature implementation with coordinated expertise and systematic development.
Quick Start
# Basic implementation
/sc:implement [feature-description] --type component|api|service|feature
# With framework
/sc:implement dashboard widget --framework react|vue|express
# Complex orchestration
/sc:implement [task] --orchestrate --strategy systematic|agile|enterprise
Behavioral Flow
- Analyze - Examine requirements, detect technology context
- Plan - Choose approach, activate relevant personas
- Generate - Create implementation with framework best practices
- Validate - Apply security and quality validation
- Integrate - Update docs, provide testing recommendations
Flags
| Flag | Type | Default | Description |
|---|---|---|---|
--type |
string | feature | component, api, service, feature |
--framework |
string | auto | react, vue, express, etc. |
--safe |
bool | false | Enable safety constraints |
--with-tests |
bool | false | Generate tests alongside code |
--fast-codex |
bool | false | Streamlined path, skip multi-persona |
--orchestrate |
bool | false | Enable hierarchical task breakdown |
--strategy |
string | systematic | systematic, agile, enterprise, parallel, adaptive |
--delegate |
bool | false | Enable intelligent delegation |
Personas Activated
- architect - System design, architectural decisions
- frontend - UI/component implementation
- backend - API/service implementation
- security - Security validation, auth concerns
- qa-specialist - Testing, quality assurance
- devops - Infrastructure, deployment
- project-manager - Task coordination (with --orchestrate)
MCP Integration
- PAL MCP - Consensus for architectural/security decisions
- Rube MCP - External automation (ticketing, CI hooks)
Guardrails
- Start in analysis mode; produce scoped plan before touching files
- Only mark complete when referencing concrete repo changes (filenames + diff hunks)
- Return plan + next actions if tooling unavailable
- Prefer minimal viable change; skip speculative scaffolding
- Escalate to security persona before modifying auth/secrets/permissions
Evidence Requirements
This skill requires evidence. You MUST:
- Show actual file diffs or code changes
- Reference test results or lint output
- Never claim code exists without proof
Examples
React Component
/sc:implement user profile component --type component --framework react
API with Tests
/sc:implement user auth API --type api --safe --with-tests
Complex Orchestration
/sc:implement "enterprise auth system" --orchestrate --strategy systematic --delegate
Loop Mode & Learning
When using --loop, this skill integrates with the skill persistence layer for cross-session learning:
How Learning Works
- Feedback Recording - Each iteration's quality scores and improvements are persisted
- Skill Extraction - Successful patterns are extracted when quality threshold is met
- Skill Retrieval - Relevant learned skills are injected into subsequent tasks
- Effectiveness Tracking - Applied skills are tracked for success rate
Loop Flags
| Flag | Type | Default | Description |
|---|---|---|---|
--loop |
int | 3 | Enable iterative improvement (max 5) |
--learn |
bool | true | Enable learning from this session |
--auto-promote |
bool | false | Auto-promote high-quality skills |
Example with Learning
# Iterative implementation with learning
/sc:implement auth flow --loop 3 --learn
# View learned skills
python scripts/skill_learn.py '{"command": "stats"}'
# Retrieve relevant skills
python scripts/skill_learn.py '{"command": "retrieve", "task": "auth"}'
Learned Skills Location
Promoted skills are stored in:
.claude/skills/learned/
├── SKILL.md # Index
├── learned-backend-auth/ # Example promoted skill
│ ├── SKILL.md
│ └── metadata.json
Resources
- PERSONAS.md - Available persona definitions
- scripts/select_agent.py - Agent selection logic
- scripts/evidence_gate.py - Evidence validation
- scripts/skill_learn.py - Skill learning management