lhbsaalhbsaa/apex-unified/skills/apex-spec/SKILL.md

apex-spec

Skill0 starsChanged 4 months agoMITView on GitHub

Spec-driven development workflow. Propose features with specs, design docs, and tasks before writing code. Triggers on: /apex:spec, propose, write spec, design feature.

In this repository39 other files it gives its agents.
- AGENTS.mdAGENTS.md
- apex-modeSkill
- api-designSkill
- architecture-decision-recordsSkill
- backend-patternsSkill
- brainstormingSkill
- coding-standardsSkill
- database-migrationsSkill
- delivery-gateSkill
- deployment-patternsSkill
- dispatching-parallel-agentsSkill
- docker-patternsSkill
- error-handlingSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- frontend-patternsSkill
- gateguardSkill
- git-workflowSkill
- pi-integrationSkill
- plan-orchestrateSkill
- postgres-patternsSkill
- prdSkill
- python-testingSkill
- ralphSkill
- react-patternsSkill
- receiving-code-reviewSkill
- requesting-code-reviewSkill
- safety-guardSkill
- sdk-scanSkill
- security-reviewSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- tdd-workflowSkill
- test-driven-developmentSkill
- using-git-worktreesSkill
- verification-before-completionSkill
- verification-loopSkill
- writing-plansSkill
- writing-skillsSkill

The file

Create a free account to mount

Files

SKILL.md

apex-spec — Spec-Driven Development

Propose, design, and execute features with a lightweight spec workflow.

Commands

Command	Description
`apex spec init`	Initialize openspec/ directories
`apex spec propose "<feature>"`	Create proposal, design, tasks
`apex spec list`	Show active changes
`apex spec archive <name>`	Archive completed change

Workflow

Propose — apex spec propose "add login"
Review — Read proposal.md, design.md, tasks.md
Implement — Follow tasks.md with TDD
Archive — apex spec archive add-login

Artifact Structure

openspec/
├── config.yaml
├── changes/
│   ├── add-login/
│   │   ├── proposal.md    — Why + What + Impact
│   │   ├── design.md      — Approach + Trade-offs
│   │   └── tasks.md       — Task checklist
│   └── archive/            — Completed changes
├── explorations/            — Research notes
└── specs/                   — Shared specs

Download now (ZIP)

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

What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

Check your setup, free