tinyspec vs SpecKit
SpecKit is GitHub's official toolkit for spec-driven development. It uses structured Markdown templates and slash commands to turn specifications into implementation plans, task lists, and generated code via AI coding agents.
Overview
| tinyspec | SpecKit | |
|---|---|---|
| Approach | Spec authoring tool | Full lifecycle framework |
| Spec format | Single Markdown file | Templated Markdown with formal IDs (FR-001, US1, CHK001) |
| CLI | Native binary, full spec management | Python CLI (specify) for init + slash commands for workflow |
| Install | Single binary | Python 3.11+ / uv |
| LLM dependency | Optional | Required for core workflow |
Spec format
SpecKit produces multiple artifact files per feature: spec.md (with prioritized user stories, acceptance criteria, and formal requirement IDs like FR-001), plan.md (technical architecture), tasks.md (executable task list with parallelization markers), and checklist.md (quality validation). A constitution.md governs architectural principles across all specs.
tinyspec uses a single Markdown file per feature with four clear sections. You write the Background and Proposal yourself, and the Implementation Plan is scaffolded collaboratively with AI. No formal ID schemes or governance documents required.
CLI tooling
SpecKit's CLI (specify) provides init and check commands. The core workflow — specifying, planning, generating tasks, implementing, and analyzing — runs as slash commands inside an AI agent session (e.g., /speckit.specify, /speckit.plan, /speckit.implement). Cross-artifact analysis finds contradictions and gaps with severity ratings.
tinyspec's CLI handles the full spec lifecycle independently: creating specs, formatting them, tracking task progress, and viewing status. Every command works from the terminal without an AI agent.
Workflow integration
SpecKit works with 20+ AI coding agents. It auto-creates feature branches, stores specs in branch-specific directories, and supports extension hooks (before/after implementation). The constitutional governance model enforces architectural principles across all generated artifacts.
tinyspec integrates with Claude Code via three skills. Specs are plain Markdown in .specs/, committed alongside your code. No branch-specific directories or governance documents — your specs live where your code lives.
Formatting
SpecKit relies on template-driven generation and a .markdownlint-cli2.jsonc config but has no explicit auto-format command.
tinyspec format provides consistent Markdown normalization, keeping specs clean across authors and edits.
When to choose SpecKit
- You need formal requirement traceability (FR-001, US1, CHK001)
- Your team benefits from constitutional governance across specs
- You want automated cross-artifact consistency checking
- You work with multiple AI coding tools and need broad agent support
When to choose tinyspec
- You want a lightweight, single-purpose tool
- You prefer writing specs in plain Markdown without formal ID schemes
- You need a standalone CLI that works without an AI agent
- You value simplicity over process formality