ai-builder-club/setup-codebase-harness
> Master skill — set up the full agent harness for any repo so an agent can work (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".
npx skills add https://github.com/AI-Builder-Club/skills --skill setup-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).
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.
> What the agent can't see doesn't exist. Knowledge in chat threads / heads is
> invisible — push it into versioned, repo-local artifacts.
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.
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.
codebase-memory-mcpso the agent traces callers, data flow, and architecture from a knowledge graph
instead of blind grepping — faster, more precise navigation on large codebases.
that no longer match the code and opens fix-up PRs.
dev-local-setup → a one-command, reproducible local stack(scripts/dev-local.sh up) running every service + infra.
playwright-cli skill (installed byverifier-setup); logs reachable.
crabbox-setup → an isolated cloud box per agent — the parallel-safecounterpart 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.
perf/reliability prompts.
e2e-setup → a trustworthy e2e gate: real flows (not bypass), a reusableauth/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-shiploop): 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.
lint-staged + commitlint). Keep merge gates light — at high agent throughput,
corrections are cheap and waiting is expensive.
passes that open small refactor PRs — pay tech debt down continuously, not in
painful bursts. Human taste captured once, enforced on every line.
not self-review).
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.
Take ai-builder-club/setup-codebase-harness from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.