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/setup-codebase-harness

Master skill — set up the full agent harness for any repo so an agent can work it reliably: legible (map-not-manual docs + custom lints), executable (one-command dev stack), verifiable (e2e gate + a verify-before-ship loop), plus commit hygiene and entropy control. Use when

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ai-builder-club-skills
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Install
$ npx -y skills add AI-Builder-Club/skills --skill setup-codebase-harness --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/setup-codebase-harness

Context preview

The summary Claude sees to decide when to auto-load this skill.

Master skill — set up the full agent harness for any repo so an agent can work it reliably: legible (map-not-manual docs + custom lints), executable (one-command dev stack), verifiable (e2e gate + a verify-before-ship loop), plus commit hygiene and entropy control. Use when

SKILL.md

setup-codebase-harness.SKILL.md
name: setup-codebase-harness
description: >
  Master skill — set up the full agent harness for any repo so an agent can work
  it reliably: legible (map-not-manual docs + custom lints), executable
  (one-command dev stack), verifiable (e2e gate + a verify-before-ship loop), plus
  commit hygiene and entropy control. Use when onboarding a new/unfamiliar codebase
  to agent-driven development — "set up the harness", "make this repo agent-ready",
  "harness this codebase".
user_invocable: true

Set up the codebase harness

**Harness engineering:** the model is fixed — what you engineer is the *scaffolding* around it (the environment, the docs, the feedback loops) so an agent can build and verify software with minimal human attention. Humans steer; agents execute. Your job is to make the repo **legible, executable, and verifiable.**

Work **incrementally and depth-first**: assess what exists, build the one missing capability, use it to unlock the next. Don't boil the ocean — set up what the repo actually needs. When the agent struggles, the fix is almost never "try harder" — ask *"what capability is missing, and how do I make it legible and enforceable?"* and add it.

This skill orchestrates the focused sub-skills: **`dev-local-setup`**, **`e2e-setup`**, **`crabbox-setup`** (cloud/parallel), and **`verifier-setup`** (scaffolds a repo-specific **`/verify`** loop; supersedes the older **`pr`** skill).

0. Assess

Survey the repo: stack, package manager, services/ports, infra deps, existing docs/tests/CI, and the *implicit* rules (buried in READMEs, PR comments, people's heads). Note what's missing per pillar below.

1. Legible — the agent can reason about the repo

> What the agent can't see doesn't exist. Knowledge in chat threads / heads is > invisible — push it into versioned, repo-local artifacts.

  • **a) Map, not manual.** Shrink the root agent doc (`AGENTS.md` / `CLAUDE.md`) to a

~100-line **table of contents**: one-line overview, project tree, **golden rules** (the hard invariants), and a "where to look" table. Move the depth into a structured **`docs/` system-of-record** (architecture, frontend, testing, domain topics) with a `docs/index.md`. A monolithic instruction file rots and crowds out the task — keep the map small and stable, disclose detail progressively.

  • **b) Custom lints with remediation.** Promote the prose golden rules into

**mechanical checks** — human taste captured once, enforced everywhere, every run. One lint per invariant (layering / dependency direction, naming, no-`any`, forbidden imports, file-size, structured logging). **Write the error message to inject the fix** ("X isn't allowed here — do Y") so the remediation lands in agent context. Wire them into the repo's linter + CI.

  • **c) Queryable code graph.** Index the repo with [`codebase-memory-mcp`](https://github.com/DeusData/codebase-memory-mcp)

so the agent traces callers, data flow, and architecture from a knowledge graph instead of blind grepping — faster, more precise navigation on large codebases.

  • **d) (later) Keep docs honest.** A freshness / doc-gardening pass that flags docs

that no longer match the code and opens fix-up PRs.

2. Executable — the agent can run & drive the app

  • **`dev-local-setup`** → a one-command, reproducible local stack

(`scripts/dev-local.sh up`) running every service + infra.

  • Make the app **drivable**: browser via the `playwright-cli` skill (installed by

`verifier-setup`); logs reachable.

  • **`crabbox-setup`** → an **isolated cloud box per agent** — the parallel-safe

counterpart to dev-local. Reach for it when loops run **concurrently**: one laptop can't host N full stacks (fixed ports, one Docker daemon, one DB), and per-worktree local doesn't fix it — the worktrees still share the host. crabbox gives each agent its own stack + an in-box browser, so parallel verification never collides.

  • *Advanced:* a local, ephemeral observability stack (queryable logs/metrics) for

perf/reliability prompts.

3. Verifiable — the agent can prove it works

  • **`e2e-setup`** → a trustworthy e2e gate: real flows (not bypass), a reusable

auth/session helper, layered client → server → product assertions, video/trace evidence, sandbox-only external services.

  • **`verifier-setup`** → scaffolds a repo-specific **`/verify`** skill (the verify-before-ship

loop): a fresh **verifier sub-agent drives the real app** to confirm the just-built feature works; the main agent fixes until green, runs the codified regression sweep, and opens a PR with a reviewable proof link. Add the session helper so the verifier can reach login-gated features.

4. Others — keep it coherent over time

  • **Commit hygiene**: conventional commits + format/lint on commit (e.g. husky

lint-staged + commitlint). Keep merge gates **light** — at high agent throughput, corrections are cheap and waiting is expensive.

  • **Garbage collection**: encode "golden principles", then run periodic cleanup

passes that open small refactor PRs — pay tech debt down continuously, not in painful bursts. Human taste captured once, enforced on every line.

  • **Agent-to-agent review** for correctness-critical changes (independent reviewers,

not self-review).

Order & what you leave behind

**1a (map) → 2 (dev-local) → 3 (e2e + verifier-setup)**, then **1b (lints)** and **4** as the repo matures. The artifacts — slim map + `docs/`, `scripts/dev-local.sh`, an `e2e/` suite, the generated `/verify` skill, and custom lints — are each a reusable, legible capability that compounds. Prefer "boring", composable, stable tech the agent can fully model.

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Repo: AI-Builder-Club/skills

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