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Aicrew dev

Skill AKSoftCode/aicrew/codex-skills/aicrew-dev

TDD-first AI dev pipeline for Claude Code, Cursor, Codex, Gemini CLI & Antigravity. /dev /fix /quick + token-saving hooks. npx aicrew install

Install
npx -y skills add AKSoftCode/aicrew --skill aicrew-dev

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What its author says it does

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Run the aicrew /dev pipeline in Codex (intake -> research -> design -> TDD -> tests -> security -> audit -> infra -> conclude).

SKILL.md

2.6 KB, as published. Nobody here has run it

aicrew /dev (Codex)

Codex does not support slash commands. Use this skill when the user asks for "/dev" or a full SDLC pipeline.

Token foundation (mandatory)

/dev, /fix, and /quick all share the same 11-capability token-saving stack — only pipeline depth differs. Full reference: ~/Agents/docs/token-foundation.md. Stack: graph-first (codebase-memory-mcp), speculative Scout → verify (SCOUT schema, two-model routing), Karpathy guardrails, layered guardrails (guardrails-taxonomy.md), context-economy read policy, security-guard.py hooks, .ai/state checkpoints, /compact between phases, /handoff on tool switch, optional context-mode + token-optimizer-mcp, caveman default output. For /dev, Scout opens Phase 1 Research before any Glob/Grep/Read; re-scout between phases if context grew.

Default output

Caveman/lean style by default. See ~/Agents/agents/caveman.md and ~/Agents/agents/context-economy.md. /normal or /lean off restores verbose.

Source of truth:

  • ~/Agents/commands/dev.md
  • Project overrides in .ai/skills/ and repo AGENTS.md (if present)

Token foundation (mandatory — all phases):

  • Graph-first research: codebase-memory-mcp (search_graph → trace_path → get_code_snippet) before any Grep/Read
  • Speculative context: Scout pass (cheap model) at start of Phase 1; emit SCOUT: schema; verify before main trace
  • Layered guardrails: security-guard.py (input) → scope lock (Phase 0) → karpathy-guardrails (Phase 4) → security-reviewer (Phase 6)
  • Context economy: always on; /compact between phases; /lean amplifies
  • Two-model routing: Scout on haiku/mini; Research+Implement on sonnet/opus
  • See: ~/Agents/docs/token-foundation.md

Workflow summary:

  1. Intake: clarify bug/feature/refactor, acceptance criteria, scope, risks, test plan.
  2. Research: Scout pass (graph-first) → verify SCOUT schema → confirm root cause or key code paths.
  3. Brainstorm: 3 alternatives with trade-offs (features/refactors).
  4. Design: interface spec, contract checks, over/under-engineering flags.
  5. Implement: load karpathy-guardrails; TDD first (RED -> GREEN -> REFACTOR per acceptance criterion).
  6. Tests: targeted automated tests + smoke path.
  7. Security: changed files only, no false positives.
  8. Audit: if project defines domain audit checks.
  9. Conclude: summary, tests run, risks, commit message.

Checkpoints: pause for user confirmation at intake, design, and before concluding.

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