Spec-Driven Development Quickstart
This guide will help you get started with Spec-Driven Development using Spec Kit. Throughout, we illustrate each step with a running example: Taskify, a small team productivity platform.
Use SDD to build a feature or application from a specification. For a repair, follow the bug-fixing quickstart; to decide whether an idea deserves investment, follow the idea assessment quickstart. These are independent processes, not prerequisites for this guide.
Note
Automation scripts are provided as Bash (.sh), PowerShell (.ps1), and Python (.py) variants. Interactive specify init prompts you to choose one; non-interactive runs (no TTY, or --non-interactive) default to a shell variant for your OS. Pass --script sh|ps|py to select explicitly.
The process steps here use GitHub Copilot's default skills mode (/speckit-*).
For other agents or modes, see
Command invocation.
Invoke each /speckit-* skill separately in your agent's chat and review the
result before moving to the next step. These are agent skills, not terminal
commands; only CLI installation and project setup use the terminal.
Recommended Process
Tip
Context Awareness: Spec Kit tracks the active feature by the feature directory recorded in .specify/feature.json (overridable with the SPECIFY_FEATURE_DIRECTORY environment variable). Commands resolve the feature from that state, not from the checked-out Git branch — no Git required. The opt-in git extension adds numbered feature branches (e.g. 001-feature-name) for organizing work in version control, but the active feature is still whichever directory that state points to; git checkout alone does not change it. To point commands at a different feature, update .specify/feature.json (or set SPECIFY_FEATURE_DIRECTORY).
After installing Spec Kit, each skill below is a step in the process. Two paths are common:
Establish a constitution once per project with /speckit-constitution before
starting either path.
Shorter path — for smaller features:
/speckit-specify/speckit-plan/speckit-tasks/speckit-implement/speckit-converge
Full path — for production features, adding /speckit-clarify, /speckit-checklist, and /speckit-analyze as quality gates:
/speckit-constitution(once per project)/speckit-specify/speckit-clarify/speckit-plan/speckit-checklist/speckit-tasks/speckit-analyze/speckit-implement/speckit-converge
Install Specify
In your terminal, install the CLI from PyPI (requires uv), then initialize your project:
uv tool install specify-cli
specify init taskify --integration copilot
cd taskify
init lets you pick your coding agent interactively, or pass it explicitly with --integration (e.g. --integration copilot). For CI and AI agent harnesses, add --non-interactive so unspecified choices use documented defaults instead of hanging on an arrow-key picker.
Note
Prefer pipx, one-time uvx runs, a pinned release, or an offline/air-gapped setup? See the Installation Guide for all supported methods.
Adding Spec Kit to a repository that already contains code? Follow
Adopting Spec Kit in an Existing Project before
starting the workflow below.
Launch your coding agent in the project directory. Invoke the following skills in its chat, one at a time.
Step 1: /speckit-constitution — set the ground rules
Establishes the project's guiding principles, which every later step is evaluated against. Run it once up front, passing your principles as arguments.
/speckit-constitution Taskify is a "Security-First" application. All user inputs must be validated. We use a microservices architecture. Code must be fully documented.
Step 2: /speckit-specify — describe what to build
Creates the feature specification from a natural-language description. Focus on the what and why, not the tech stack.
/speckit-specify Develop Taskify, a team productivity platform where predefined users create projects, assign tasks, comment, and move tasks across Kanban columns (To Do, In Progress, In Review, Done). Five users (one product manager, four engineers), three sample projects, no login for this first phase.
Step 3: /speckit-clarify — resolve ambiguities
Asks targeted questions about anything underspecified and folds your answers back into the spec, so you're not planning on top of ambiguity. Run it before planning, optionally with a focus area.
/speckit-clarify Focus on task card behavior — status changes, comment permissions, and user assignment.
Step 4: /speckit-plan — choose the tech stack
Generates the design artifacts from the spec. This is where implementation detail belongs — provide your tech stack and architecture.
/speckit-plan Use .NET Aspire with Postgres. The frontend is Blazor Server with drag-and-drop boards and real-time updates. Expose REST APIs for projects, tasks, and notifications.
Step 5: /speckit-checklist — validate the spec
Generates a custom quality checklist — "unit tests for your requirements" — to confirm the spec is complete, clear, and consistent before you break the work down. These custom checklists are reviewer-owned requirements-quality review artifacts: mark an item [x] only when the reviewer determines that requirement-quality criterion is satisfied. Checked custom items do not mean implementation work is complete.
/speckit-checklist
Step 6: /speckit-tasks — break the work down
Generates an actionable, dependency-ordered tasks.md from the design artifacts.
/speckit-tasks
Step 7: /speckit-analyze — check consistency
Reports conflicts, gaps, and ambiguities across spec.md, plan.md, and tasks.md. It's read-only — if it flags issues, fix them at the source and re-run before implementing.
/speckit-analyze
Step 8: /speckit-implement — build it
Executes the tasks in tasks.md in dependency order. Before implementation, it reads checklist checkbox state as a gate and asks before proceeding if any checklist items are unchecked; it does not change any checklist files or markers. The built-in checklists/requirements.md checklist is maintained by /speckit-specify and /speckit-clarify, while custom checklists remain reviewer-owned. Run it once to build everything, or scope it to one phase at a time for large features.
/speckit-implement
Step 9: /speckit-converge — verify completeness
Checks the codebase against the spec, plan, and tasks. If it finds gaps, it appends new tasks to tasks.md; run /speckit-implement and converge again until it reports Converged. Otherwise you're done — proceed to review or open a PR.
/speckit-converge
Tip
For a full reference on each command — arguments, output, phased implementation, and how they interact — see Agentic SDD.
Key Principles
- Be explicit about what you're building and why
- Don't focus on tech stack during specification phase
- Iterate and refine your specifications before implementation
- Validate requirements and plans before coding begins
- Let the coding agent handle the implementation details
Next Steps
- See the Agentic SDD reference for full detail on every command
- Learn how to customize the process with extensions, presets, workflows, and bundles
- Read the complete methodology for in-depth guidance
- Compare the core templates with community walkthroughs to see how Spec-Driven Development is used in real projects
- Explore the source code on GitHub
Video Overview
For a visual introduction, watch the Spec Kit video overview. Use the commands in this guide for the current workflow and invocation syntax.
