advise
Critical thinking analysis - validates alignment, challenges assumptions, identifies risks
Smart code implementation with full pipeline and batch modes
$ npx -y skills add akaszubski/autonomous-dev --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/implementContext preview
What this command does when you run it.
Smart code implementation with full pipeline and batch modes
name: implement description: "Smart code implementation with full pipeline and batch modes" argument-hint: "<feature> | --batch <file> | --issues <nums> | --resume <id>" allowed-tools: [Agent, Read, Write, Edit, Bash, Grep, Glob, mcp__searxng__search, mcp__searxng__fetch, WebSearch] user-invocable: true user_facing: true
> The key words "MUST", "MUST NOT", "SHOULD", and "MAY" in this document are to be interpreted as described in [RFC 2119](https://www.rfc-editor.org/rfc/rfc2119).
**You (Claude) are the coordinator.** Delegate specialist work to agents via the Agent tool. Each agent runs in isolated context — pass outputs from prior stages explicitly.
| Mode | Flag | Description | |------|------|-------------| | **Full Pipeline** | (default) | Acceptance-first: Research → Plan → Acceptance Tests → Implement + Unit Tests → Review → Security → Docs | | **Light** | `--light` | Fast pipeline: Align → Plan → Implement → Test → Docs → CI Analysis (4 agents, no research/security) | | **TDD-First** | `--tdd-first` | Research → Plan → Unit Tests → Implement → Review → Security → Docs | | **Fix** | `--fix` | Minimal pipeline: Align → Test Context → Implement Fix → Review + Docs → CI Analysis (4 agents minimum) | | **Batch File** | `--batch <file>` | Process features from file with auto-worktree | | **Batch Issues** | `--issues <nums>` | Process GitHub issues with auto-worktree | | **Resume** | `--resume <id>` | Resume interrupted batch from checkpoint |
**Same-Session Planning Note**: When running `/plan` followed by `/implement` in the same session, pass `--no-issues` to `/plan` to avoid the `/drain-queue` autonomous drainer picking up your issues mid-session. This is expected behavior — the drainer continuously processes new `auto-improvement`-labelled issues and has no visibility into your active session's intent. See #1373.
**COORDINATOR FORBIDDEN LIST** — You MUST NOT do any of the following (violations = pipeline failure):
**You MUST output structured progress to the user at each pipeline milestone.** This keeps the user informed of what's happening, which agents are running, and how long each step takes.
**Timing**: Capture `STEP_START=$(date +%s)` before each step. After each step, calculate elapsed: `STEP_ELAPSED=$(( $(date +%s) - STEP_START ))`. Format: `Xs` if under 60s, `M:SS` if 60s+.
**Step Banner** — output before each step begins:
======================================== STEP N/TOTAL — Step Name Agent: agent-name (Model) [or "Agents: a, b (Model)" for parallel] ========================================
For non-ag
A harness that wraps Claude Code with enforcement, specialist agents, and alignment gates to deliver consistent, production-grade software engineering outcomes.
Repo: akaszubski/autonomous-dev
Critical thinking analysis - validates alignment, challenges assumptions, identifies risks
Comprehensive quality audit - code quality, documentation, coverage, security
Autonomous experiment loop — hypothesize, modify, benchmark, commit or revert
Create GitHub issue with automated research (--quick for fast mode)
Autonomous queue drainer — picks the top /triage cluster, applies safety gates, drains via /implement --issues, pushes, deploys.