Spec-Kit Fundamentals
The spec-kit system provides a structured approach to feature development through specifications, plans, research, and task management. This skill teaches how to work with specs and the spec-kit infrastructure for creating well-defined, research-backed features.
How to create feature specifications
Develop comprehensive feature specifications using the spec-kit template system.
- •Start with user stories: Define clear user journeys with priorities (P1, P2, P3)
- •Format: "As a [user type], I want [capability] so that [benefit]"
- •Include acceptance scenarios with Given/When/Then format
- •Define functional requirements: Use FR-001, FR-002 format with MUST/SHOULD statements
- •Include success criteria: Measurable outcomes (SC-001, SC-002) that verify feature completion
- •Document key entities: Define data models and relationships without implementation details
- •Address edge cases: Consider boundary conditions, error scenarios, and system limits
How to develop implementation plans
Create structured implementation plans that guide feature development.
- •Technical context: Document language/version, dependencies, storage, testing, platform requirements
- •Project structure: Define directory layouts for documentation and source code
- •Constitution check: Verify plan aligns with project governance rules (T0 rules)
- •Structure decision: Document chosen architecture and reference real directories
- •Complexity tracking: Justify any constitution violations with alternatives considered
How to conduct research synthesis
Synthesize research from academic papers and technical documentation into actionable insights.
- •Academic references: Integrate findings from 87+ research papers (IEEE, ACM, arXiv)
- •Practical application: Connect theoretical concepts to implementation patterns
- •AI-instruments principles: Apply reification of user intent, reflection, and anchoring
- •Trustworthy AI: Incorporate security and verifiability from the start
- •JIT resource management: Plan for just-in-time loading of supplementary content
How to manage structured development workflows
Follow the spec-kit workflow for consistent, research-backed feature development.
- •Phase 1: Understanding: Extract concrete examples from user requirements
- •Phase 2: Planning: Identify reusable resources (scripts, references, assets)
- •Phase 3: Implementation: Follow structured templates for consistency
- •Phase 4: Validation: Test each user story independently for MVP delivery
- •Phase 5: Iteration: Update specs and plans based on real usage feedback
How to work with spec-kit templates
Utilize the spec-kit template system for consistent artifact generation.
- •spec-template.md: Create feature specifications with user stories and requirements
- •plan-template.md: Develop implementation plans with technical context
- •tasks-template.md: Generate task lists organized by user story for parallel work
- •checklist-template.md: Create validation checklists for quality assurance
- •agent-file-template.md: Define agent behaviors and skill compositions
Common Warnings & Pitfalls
Specification Issues
- •Vague requirements: Ensure all functional requirements are testable and specific
- •Missing edge cases: Consider error scenarios, boundary conditions, and system limits
- •Unclear entities: Define key data models without implementation details
Planning Issues
- •Overlooking constitution: Verify all plans comply with T0 governance rules
- •Ignoring technical debt: Account for complexity trade-offs in structure decisions
- •Insufficient context: Include all necessary technical details for implementation
Research Integration
- •Theory vs practice: Bridge academic concepts with practical implementation
- •Citation accuracy: Verify all research references and paper attributions
- •Knowledge obsolescence: Update research synthesis as new papers emerge
Best Practices
| Level | Focus | Key Practices |
|---|---|---|
| Beginner | Template Usage | Follow spec-kit templates exactly, understand user story format, practice acceptance scenarios. |
| Intermediate | Research Integration | Synthesize academic papers into implementation patterns, connect theory to practice, apply AI-instruments principles. |
| Expert | Workflow Optimization | Parallelize user story development, optimize JIT resource loading, advance governance compliance. |
Application Areas
- •Feature Development: Structured approach to new capability implementation
- •Research Projects: Academic paper synthesis and practical application
- •Quality Assurance: Validation checklists and success criteria definition
- •Team Coordination: Parallel development through user story organization
- •Governance Compliance: Constitution adherence and rule enforcement