dev-requirements

Guidance for gathering and checking requirements before building a software feature.

In plain words
What is it for?
Use it to start or review a feature, clarify its scope, maintain project documents, and prepare the first stages of a development process.
Why use it?
It helps uncover unresolved product, design, technical, scope, and testing decisions before they cause rework.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/codeaholicguy/ai-devkit/dev-requirements
Any agent
npx skills add codeaholicguy/ai-devkit --skill dev-requirements
Clone the repo
git clone --depth 1 https://github.com/codeaholicguy/ai-devkit

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 929 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.00929
Opus 5 $0.00026 $0.00464
Sonnet 5 $0.00010 $0.00186
Haiku 4.5 $0.00005 $0.00093

Measured yesterday against content hash a6eb725b981d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dev-requirements scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/dev-requirements/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 56 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 56 lines · 52 tokens per session scan A a6eb725b981d

Subscribe to this mod's changes

dev-requirements is a skill published in the GitHub repository codeaholicguy/ai-devkit (1,601 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 929 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

tmux

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

HKUDS/nanobot · 22 tokens

summarize

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

HKUDS/nanobot · 32 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

complete-partial-pr

Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point. Use when a contribution may miss adjacent integration surfaces, provider/spec semantics, roundtrip behavior, tests, docs, or historical maintainer decisions.

pydantic/pydantic-ai · 55 tokens

hive.chart-creation-foundations

Required reading whenever any chart tool is available. Teaches the one-tool embedding contract (call chartrender → live chart appears in chat AND a downloadable PNG lands in the queen session dir), the ECharts (data viz) vs Mermaid (structural diagrams) decision, the BI/financial-grade aesthetic baseline (no…

aden-hive/hive · 133 tokens

peon-ping-log

Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".

PeonPing/peon-ping · 64 tokens