natnew/awesome-physical-ai/feature-spec
Claude Code and agent skill by natnew/awesome-physical-ai
- community
Checking that the SKILL.md file is still in the repository.
Kicks off a new feature by finding the next incomplete phase in specs/roadmap.md, creating a git branch, interviewing the user about scope/decisions/context, and writing a dated spec directory under specs/ containing plan.md, requirements.md, and validation.md. Trigger when the user says "feature spec", "next phase", "start the next feature", or invokes /feature-spec.
Install
npx vskill@latest install natnew/awesome-physical-ai/feature-specSKILL.md
Feature Spec
Workflow
1. Find the next phase
Read specs/roadmap.md. The next phase is the first section whose items are all [ ]. Note its name to derive the branch and directory name.
2. Create the branch
3. Interview the user — BEFORE writing any files
Use AskUserQuestion with exactly 3 questions in one call:
| Header | Question focus | |
|---|---|---|
| Scope | What the feature collects, exposes, or does — fields, behaviour, data shape | |
| Decisions | Key implementation choices — storage, visibility, validation, UX pattern | |
| Context | Tone, constraints, or anything shaping the spec — copy style, stack limits, open questions |
Do not write any files until the user has answered all three questions.
4. Read guidance files
Read specs/mission.md and specs/tech-stack.md before drafting.
5. Create the spec directory
Name: specs/YYYY-MM-DD-<feature-name>/ using today's date.
requirements.md
- Scope section: what is and is not included; field/data table if applicable
- Decisions section: choices made and why (draw from user answers)
- Context section: tone rules, stack pointers, existing patterns to follow
plan.md
- Numbered task groups appropriate to the feature (for example: Data → Components → Page & Route → Navigation → Tests)
- Each group has numbered sub-tasks; groups should be independently implementable
validation.md
- Automated: project test and typecheck commands pass; specific assertions required
- Manual: walkthrough, behaviour, edge cases
- Tone check if the feature has user-facing copy
- Definition of done
Constraints
- Respect the existing tech stack defined in
specs/tech-stack.md— no new dependencies without user approval - Follow existing conventions and patterns already established in the codebase
- Keep feature scope focused and independently shippable
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/feature-spec/SKILL.md
Popularity
- Repository stars
- 85
- Repository forks
- 10
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 22 May 2026, 5 months ago.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/natnew/awesome-physical-ai/feature-spec)