dev-requirements

$npx mdskill add codeaholicguy/ai-devkit/dev-requirements

Guides requirements capture, scope clarification, and feature doc initialization.

  • Captures new requirements and clarifies product scope for features.
  • Depends on npx ai-devkit for linting, initialization, and doc management.
  • Asks one decision at a time until all open questions are resolved.
  • Restates shared understanding before updating docs or suggesting next phase.

SKILL.md

.github/skills/dev-requirementsView on GitHub ↗
---
name: dev-requirements
description: AI DevKit · Requirements phase guidance for starting features and reviewing requirements. Use when the user wants to capture a new requirement, clarify product scope, initialize feature docs, review requirements, or run dev-lifecycle phases 1-2.
---

# Dev Requirements

Run the requirements phases for configured AI docs features. Before making docs or code changes, propose the concrete plan for this phase and wait for user approval unless the user already approved the exact phase plan.

## Phase Contract

1. Run `npx ai-devkit@latest lint` before phase work.
2. If working on a named feature, run `npx ai-devkit@latest lint --feature <name>`.
3. If lint fails because project docs are not initialized, run `npx ai-devkit@latest init -a -e claude --built-in --yes`, then rerun lint.
4. Read existing configured AI docs and keep diffs minimal. Do not assume `docs/ai`; it is only the default docs directory.
5. Ask until every material product, UX, architecture, scope, validation, rollout, contradiction, trade-off, or open question is answered, explicitly deferred, or accepted as a named assumption.
6. Ask one decision at a time, with why it matters, 2-3 viable options when useful, and a recommended answer.
7. Do not create, update, approve, or transition past requirements while material open questions remain.
8. Restate the shared understanding before updating docs or suggesting the next phase.
9. If parent `dev-lifecycle` established usable task tracing, emit requirements phase, clarification/progress, blocker/open-question, and next-step events per `task`.

## New Requirement

Use for Phase 1 or `/new-requirement`.

1. Search AI DevKit memory for relevant past features or conventions with `npx ai-devkit@latest memory search --query "<feature/topic>"`. If unfamiliar, check the `memory` skill first.
2. Clarify feature name in kebab-case, problem, target users, key user stories, scope, non-goals, success criteria, UX, constraints, rollout, and validation.
3. Brainstorm alternatives to confirm this is the right thing to build. Present 2-3 approaches with one-line trade-offs and a recommendation.
4. Store reusable answers after clarification.
5. Use `dev-worktree` to create or resume the active feature workspace with normalized `<name>`.
6. Initialize docs with `npx ai-devkit@latest docs init-feature <name>` from the active worktree/repository and fill the returned paths. Treat those returned paths as authoritative because `paths.docs` may customize the docs directory.
7. Fill requirements doc: problem statement, goals/non-goals, user stories, success criteria, constraints, open questions.
8. Fill design doc: architecture with mermaid diagram, data models, APIs, components, design decisions, security/performance.
9. Fill testing doc: derive scenarios from requirements success criteria and design components/edge cases as `- [ ]` checkboxes, plus mocks/fixtures and coverage target.
10. If task tracing is available, record draft progress and next review step per `task`.
11. Use `dev-planning` to create the initial task plan from the requirements, design, and testing docs.

Next: `dev-requirements` review, then `dev-design`.

## Review Requirements

Use for Phase 2.

1. Run `npx ai-devkit@latest lint --feature <name>` and review the requirements doc path it validates. If manual path resolution is unavoidable, first resolve `.ai-devkit.json` `paths.docs`, falling back to `docs/ai`.
2. Check it against the `README.md` template.
3. Search memory for relevant conventions or past patterns.
4. Review each section: problem statement, goals/non-goals, success criteria, user stories, constraints, open questions, template compliance.
5. Resolve every gap, contradiction, ambiguity, open question, or implicit assumption.
6. Brainstorm alternatives for key decisions and trade-offs before accepting the first approach.
7. Update the requirements doc with clarified answers and chosen options.
8. Store reusable clarifications in memory.
9. If task tracing is available, record validation progress, next step, or blockers per `task`.
10. Summarize what was validated, what was updated, and remaining open items.

Next: `dev-design`. If fundamental gaps remain unresolvable, return to New Requirement.

More from codeaholicguy/ai-devkit

SkillDescription
agent-communicationAI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.
agent-managementAI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.
agent-orchestrationAI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.
changelogAI DevKit · Update CHANGELOG.md Unreleased items from git commits since the latest release. Use when users ask to update changelog/release notes from recent commits, with one concise line per commit and commit/PR links.
dev-commitAI DevKit · Safe git commit workflow for AI coding agents. Use when the user asks to commit, prepare a commit, stage changes, create a PR-ready checkpoint, or finish work with a conventional commit while avoiding unrelated user changes.
dev-designAI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.
dev-implementationAI DevKit · Implementation phase guidance for executing feature plans and checking implementation against design. Use when the user wants to implement planned tasks, update implementation docs, verify code matches design, or run dev-lifecycle phases 5 and 7.
dev-lifecycleAI DevKit · Orchestrator for structured SDLC phase skills. Use when the user wants to run the full lifecycle or choose the next phase across requirements, design, planning, implementation, testing, and review.
dev-planningAI DevKit · Planning phase guidance for creating and reconciling feature task plans. Use when the user wants to create an implementation plan, update planning docs, mark task progress, capture blockers or new tasks, or run dev-lifecycle planning work.
dev-prAI DevKit · Publish a ready feature branch for review. Use when the user wants to sync, push, and open or update a code review request on GitHub, GitLab, or another Git host.