spec-new
Skill3 starsChanged 7 months agoMITView on GitHub
Create a new feature specification through structured interview
5 other projects use a version of this.
Adopted by
Most recently taken up by
- thistleknot/skillstheir own version, first seen Nov 8, 2026
- salvo8519/fairmarktheir own version, first seen Nov 8, 2026
- cupen/skillstheir own version, first seen Sep 7, 2026
- cldanielhernandez/claude-skillstheir own version, first seen Aug 8, 2026
- MarcosCamara01/sddguardtheir own version, first seen May 24, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- salvo8519/fairmark★ 1same name
- cldanielhernandez/claude-skills★ 0same name
- cupen/skills★ 0same name
- MarcosCamara01/sddguard★ 0same name
- thistleknot/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.
In this repository71 other files it gives its agents.
- AGENTS.mdAGENTS.md
- llms.txtllms.txt
- api-designerSkill
- backend-patternsSkill
- code-reviewerSkill
- debugging-assistantSkill
- golang-testingSkill
- project-guidelines-exampleSkill
- python-testingSkill
- refactoring-guideSkill
- spec-driven-developmentSkill
- tdd-workflowSkill
- verification-loopSkill
- update-docsSkill
- api-docsSkill
- changelog-writerSkill
- readme-generatorSkill
- django-patternsSkill
- django-securitySkill
- django-tddSkill
- django-verificationSkill
- fastapi-patternsSkill
- nextjs-patternsSkill
- react-patternsSkill
- springboot-patternsSkill
- springboot-securitySkill
- springboot-tddSkill
- branch-strategySkill
- changelogSkill
- commit-helperSkill
- pr-creatorSkill
- prSkill
- evolveSkill
- instinct-exportSkill
- instinct-importSkill
- instinct-statusSkill
- cleanupSkill
- lint-fixSkill
- refactor-cleanSkill
- update-depsSkill
- continuous-learningSkill
- continuous-learning-v2Skill
- eval-harnessSkill
- iterative-retrievalSkill
- strategic-compactSkill
- golang-patternsSkill
- python-patternsSkill
- rust-patternsSkill
- typescript-patternsSkill
- accessibility-checkerSkill
- build-fixSkill
- code-reviewSkill
- e2eSkill
- performance-reviewerSkill
- security-auditorSkill
- security-reviewSkill
- test-coverageSkill
- checkpointSkill
- deploySkill
- evalSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Start a structured interview to create a comprehensive specification before implementation.
- Distinctive: line 18
Create the spec directory and files:
- Distinctive: line 27
Before starting the interview, explore the codebase:
- Very specific: line 47
After the interview, compile answers into .spec/{slug}.spec.md:
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/spec-new
Start a structured interview to create a comprehensive specification before
implementation. Uses the spec-interviewer agent to gather requirements
across 8 categories.
Arguments
$ARGUMENTS— Name or brief description of the feature to spec
Process
1. Initialize Spec
Create the spec directory and files:
.spec/
└── {slug}.spec.md # Will be populated by interviewGenerate slug from the feature name (lowercase, hyphens).
2. Context Gathering
Before starting the interview, explore the codebase:
- Detect the tech stack (language, framework, database)
- Find similar existing implementations
- Identify relevant patterns and conventions
3. Conduct Interview
Delegate to the spec-interviewer agent to ask questions across:
| Category | Focus |
| Functional | What it does, who uses it, user flows |
| Technical | Language, framework, existing patterns |
| Data Model | Entities, relationships, storage |
| Edge Cases | Error handling, boundary conditions |
| Security | Auth, validation, secrets, OWASP |
| Testing | Test types, coverage, fixtures |
| Non-Functional | Performance, scale, accessibility |
| Implementation | Task breakdown, dependencies, risks |
4. Compile Spec Document
After the interview, compile answers into .spec/{slug}.spec.md:
# Spec: {Feature Name}
## Status: draft
## Created: {date}
## Updated: {date}
## Overview
{Summary from interview}
## Functional Requirements
{From functional category}
## Technical Constraints
{From technical category}
## Data Model
{From data model category}
## Edge Cases & Error Handling
{From edge cases category}
## Security Considerations
{From security category}
## Testing Strategy
{From testing category}
## Non-Functional Requirements
{From non-functional category}
## Implementation Approach
{From implementation category}
## Acceptance Criteria
- [ ] {Derived criteria}5. Generate Task Breakdown
Delegate to the planner agent to create .spec/{slug}.tasks.md:
# Tasks: {Feature Name}
## Progress: 0/N complete (0%)
### Phase 1: Foundation
- [ ] 1.1 Task description
- [ ] 1.2 Task description
### Phase 2: Core Implementation
- [ ] 2.1 Task description
- [ ] 2.2 Task description
### Phase 3: Testing & Hardening
- [ ] 3.1 Task description
- [ ] 3.2 Task description6. Create Implementation Log
Initialize .spec/{slug}.log.md:
# Implementation Log: {Feature Name}
## {date} — Spec created
Spec created via /spec-new interview.
Ready for implementation.Output
After completion, display:
## Spec Created: {Feature Name}
**Files created:**
- `.spec/{slug}.spec.md` — Specification document
- `.spec/{slug}.tasks.md` — Task breakdown (N tasks)
- `.spec/{slug}.log.md` — Implementation log
**Next steps:**
1. Review the spec: `cat .spec/{slug}.spec.md`
2. Check task status: `/spec-status {slug}`
3. Start implementation: `/orchestrate implement {slug}`
**WAITING FOR CONFIRMATION** before starting implementation.Example
User: /spec-new user authentication
Claude: Creating spec for "user-authentication"...
[Interview begins]
Q1: What is the core purpose of this authentication feature?
...
[After interview completes]
## Spec Created: User Authentication
**Files created:**
- `.spec/user-authentication.spec.md` — Specification document
- `.spec/user-authentication.tasks.md` — Task breakdown (12 tasks)
- `.spec/user-authentication.log.md` — Implementation log
**Next steps:**
1. Review the spec: `cat .spec/user-authentication.spec.md`
2. Check task status: `/spec-status user-authentication`
3. Start implementation: `/orchestrate implement user-authentication`
**WAITING FOR CONFIRMATION** before starting implementation.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.

