feature-specification
Skill15 starsChanged 6 months agoMITView on GitHub
Generates a structured feature specification markdown file from a GitHub issue. Use when creating a spec for a new feature, epic, or backlog item that needs implementation planning.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Alteriom/ai-dev-skillstheir own version, first seen Oct 11, 2026
- wpank/aitheir own version, first seen Feb 10, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- wpank/ai★ 11same name
- Alteriom/ai-dev-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Create a feature specification file at .claude/specs/<issue-number>-<short-title>.md using the structure below.
- Distinctive: line 40
After the header sections, define sequential implementation phases.
- Distinctive: line 74
Integration Tests: Consider whether integration tests are worthwhile for any use cases.
- Distinctive: line 84
Always begin by asking clarifying questions if any requirements or details are ambiguous.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Feature Specification
Create a feature specification file at .claude/specs/<issue-number>-<short-title>.md using the structure below.
Spec Format
Header
# <Feature Title>
**GitHub Issue**: #<number>
**Status**: Draft
## Overview
<What is being built and why. 2-4 sentences.>
## Acceptance Criteria
- [ ] <Testable condition 1>
- [ ] <Testable condition 2>
## Out of Scope
- <Explicitly list what is NOT included>
## Open Questions
- [ ] <Decision needed before implementation can begin>Implementation Phases
After the header sections, define sequential implementation phases. Each phase must be completable and testable before the next begins. Use this structure for each phase:
## Phase 1: <Name> — <dotnet-agent | react-agent | test-agent>
**Goal**: <One sentence describing what this phase delivers>
### Tasks
- [ ] <Specific task 1 — e.g., "Create `Registration` entity with Id, EventId, AttendeeId, CheckedInAt">
- [ ] <Specific task 2 — e.g., "Add EF Core migration for Registrations table">
- [ ] <Specific task 3>
### Details
<Any data models, API endpoint signatures, component names, or other specifics needed to complete this phase without ambiguity. Include example request/response JSON for API endpoints.>
### Done When
- [ ] <Verifiable exit condition — e.g., "`dotnet build` passes with no warnings">
- [ ] <Verifiable exit condition — e.g., "GET /api/registrations returns 200 with correct shape">Phase Ordering Guidelines
Structure phases as vertical slices, each one adding a fully functional piece of the feature, where possible.
Within each phase, follow this order. For library or backend-only features, you may omit the UI Layer and End-to-End Tests phases.
- Domain Model: Define the core entities and relationships needed for the feature.
- Unit Tests: Note test cases that should be implemented alongside the domain model to validate business logic. Only conditional logic needs unit tests.
- Use Cases: Define uses cases as message handlers that work with the domain model (and persistence and other abstractions) to implement the feature's behavior.
- Unit Tests: Note test cases that should be implemented alongside the use cases to validate the feature's behavior. Only conditional logic needs unit tests.
- Infrastructure and Persistence: Implement repositories, EF Core migrations, and any other data access needed to support the use cases.
- Integration Tests: Consider whether integration tests are worthwhile for any use cases; prefer API-level ASP.NET Core tests that cover the full stack over isolated tests of repositories or other infrastructure.
- API Layer: Implement API endpoints, validation, and any other necessary logic to expose the feature to the frontend.
- Functional Tests: Implement ASP.NET Core integration tests (a.k.a. functional tests) that cover the API endpoints and use cases implemented in this phase. Ensure you cover happy path and all expected HTTP responses including 401, 404, etc.
- UI Layer: Implement front-end React/Blazor/etc. components, forms, and API integration needed to provide a user interface for the feature.
- End-to-End Tests: Implement .NET Playwright tests that cover the happy path and any critical edge cases for the feature.
Each phase must name which agent executes it.
Guidelines
- Always begin by asking clarifying questions if any requirements or details are ambiguous. Do not make assumptions.
- Tasks must be specific enough to implement without clarifying questions
- Each task should be a single, independently completable unit of work
- "Done When" conditions must be objectively verifiable — no subjective criteria
- Flag security or performance considerations inline within the relevant phase
- Include example JSON for every API endpoint in the phase Details section
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

