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3 use cases
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Build a feature from a spec with your coding agent
Write principles and a spec first, let the agent plan and break it into tasks, then implement and converge.
View prompt
Set up github/spec-kit in this repo for <my coding agent>, then run the SDD flow for: <feature>. Stop after /speckit-tasks so I can review the plan and task list before implementation.
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Fix a bug with a recorded cause and verification
Install the bug extension and walk the agent through assess, fix and test for one bug.
View prompt
Using github/spec-kit's bug extension, assess this bug: <description>, slug=<slug>. Show me the assessed cause before applying the fix, then run the bug test step.
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Decide if an idea is worth building before writing code
Run the assess extension from intake to decide, and get an evidence-backed go, clarify or stop.
View prompt
Run github/spec-kit's idea assessment for: <idea>, slug=<slug>, through to the decide step, and give me the decision with the three strongest pieces of evidence.
Quick start with Spec Kit
- Check you have what it needs: uv to install the specify CLI; A supported coding agent (for example GitHub Copilot).
- Open github/spec-kit on GitHub and read the README and license.
- Install the CLI:
uv tool install specify-cli - Create a project:
specify init my-project --integration copilot - Set principles with
/speckit-constitutionand describe the feature with/speckit-specify - Pick the stack with
/speckit-plan, then run/speckit-tasksand/speckit-implement
These steps come from our top use case, Build a feature from a spec with your coding agent, which also has a copy-paste agent prompt.
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Using the Deduped MCP, get the setup steps for github/spec-kit
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About this repo
- Who it is forDevelopers and teams using Copilot, Claude Code or other coding agents who want plans and specs instead of one-shot prompts.
- Why it is hot143k stars, talked about in 2 AI sources we track
- LanguagePython
- Sourcegithub.com/github/spec-kit · Back to Hot repos
Requirements
- uv to install the specify CLI
- A supported coding agent (for example GitHub Copilot)
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Questions about Spec Kit
What is Spec Kit?
Spec Kit is GitHub's open-source toolkit that gives AI coding agents structured processes: Spec-Driven Development (constitution, specify, plan, tasks, implement, converge), a bug fixing extension (assess, fix, test) and an idea assessment extension that ends in a go, clarify or stop decision. You install the specify CLI, pick your coding agent integration, then drive the process with slash commands. It is an open-source project on GitHub: https://github.com/github/spec-kit.
How do I use Spec Kit?
Install the CLI: uv tool install specify-cli; then create a project: specify init my-project --integration copilot; set principles with /speckit-constitution and describe the feature with /speckit-specify. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Spec Kit for?
Developers and teams using Copilot, Claude Code or other coding agents who want plans and specs instead of one-shot prompts.
What can I do with Spec Kit?
3 use cases so far, for example: Build a feature from a spec with your coding agent; Fix a bug with a recorded cause and verification; Decide if an idea is worth building before writing code. Each has steps and a copy-paste agent prompt.
What do I need to run Spec Kit?
uv to install the specify CLI; A supported coding agent (for example GitHub Copilot).
What are alternatives to Spec Kit?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Spec Kit safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.