caveman
Replies drop filler and pleasantries and keep every technical detail. On from the first message.
Memory, workflows and review for Claude Code and Codex, built into the repository.
Start with project memory
Illustrative workflowIndependent review checks the work against the goal. Findings return to Execute, then face a fresh audit.
How auditing works ↗Candidate
awaiting checks
Human
approval
This one starts where you left off
Only what the task needs
Skill names sit in a small index. The full instructions, project notes and checks load when a task calls for them, so the context window stays free for your code.
See how memory loadsYou never type these. They run in every session.
Replies drop filler and pleasantries and keep every technical detail. On from the first message.
Before unfamiliar work, the agent reads the project notes that apply and skips the rest.
A mistake that cost a retry gets written down, so the next session avoids it.
Question the problem, try more than one answer, and tune it before it ships.
/dareTakes the problem apart from first principles in four fresh passes: break it down, test each assumption, rebuild, check the result against reality.
/arenaRuns several attempts in parallel, keeps the strongest as the base, and folds in the best parts of the rest.
/labBuilds a live prototype with controls, so you tune motion and layout by feel before anything is final.
A second opinion on every change, from a reviewer with no stake in the work.
A fresh reviewer gets the change, its scope and the checks it must pass.
Each finding is checked against the actual code before anything changes. Confirmed gaps get fixed, then reviewed again.
You get the evidence. Nothing merges, publishes or ships without your approval.
/codex-reviewA different model family, OpenAI's Codex, reviews the diff.
/impartial-reviewFresh agents that never saw the work review it.
/handoff-auditWrites an audit brief with exact scope and pass/fail checks that another session can run.
Decisions, pitfalls and commands live in plain files next to your code. They go wherever the repository goes.
Explore memory/long-horizon
Building and checking happen in fresh contexts, so your main conversation stays small and quality holds on tasks too big for one context window.
/long-horizon · Claude Code and Codex
/long-horizon-workflows · Claude Code · the ultra version
Runs the same rounds through Claude Code's built-in workflows, with a fresh builder, an inspector and a panel of judges each round, written verdicts, and a run journal.
Long tasks run in audited rounds. Finished work gets polished and measured before it ships.
/showpiecePushes a page, deck or document past the generic look toward work you'd put in a portfolio.
/wow-loopReviews and repairs one piece against the goal, round after round, and keeps only changes that prove better.
/perf-loopMeasures speed against a baseline, changes one thing, and measures again with an independent check.
Handing work to another agent: /enhance-prompt writes the prompt it needs, and /handoff-audit writes the checks it must pass.
When a workflow stumbles, /refine finds the cause and puts the fix into the skill itself.
Use the template for a new project, or add the skills to one you already have. Built for Claude Code and Codex.
A repository template with agent instructions, reusable skills, and project references. Read and change the files like the rest of your code.
Memory lives in project files. Agents can read those files and record approved, useful lessons. What gets retained depends on your workflow and instructions.
Keep project-specific lessons with the project. Review broadly useful improvements before sharing them through the template.
You set the goal and decide what can run. Reviews and checks provide evidence; your authorization controls publishing, merging, and other external actions.
The skills-only plugin works with Claude Code in an existing repository. For a new project or Codex support, use the full template. See the setup instructions .
A CLAUDE.md holds rules. Harness Firmware adds the rest around it: project memory the agent reads when it applies, skills for planning, review and long tasks, and checks that run on every change.
Very little up front. Each session loads the core rules and a short index of skill names. Full skills and project notes load only when a task calls for them.