optimus-prime

SkillAI & models

Generates a Claude Code configuration tailored to a specific project. Use whenever the user wants to prime a project, set up claude for a repo, bootstrap claude config, or re-prime/refresh an already-primed project (for example after `/prime-sync` pulled new starter content). Triggers on 'prime', 'prime this project', 'optimus-prime', 're-prime', 'refresh claude config', 'regenerate CLAUDE.md', 'set up claude for this repo'. Deeply analyzes the real codebase and builds project-specific skills, rules, and CLAUDE.md — not generic boilerplate. For ongoing config health checks and proposal review, use `self-evolve` instead.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the optimus-prime skill

What this skill tells your AI

The instructions your AI receives, as published by avibebuilder/claude-prime in .claude/skills/optimus-prime/SKILL.md and read by ahel’s review.

Ultrathink.

Mission

Generate a Claude configuration that fits the specific project. Every skill, rule, and CLAUDE.md entry must exist because this project needs it — not because a template included it. Analyze the real codebase deeply, understand its conventions and patterns, and build a config that makes Claude work well here.

Modes

  • Fresh prime — no claude config yet. Build from scratch.
  • Re-prime — claude config already exists. Preserve intentional project work, refresh what is stale or generic, fill gaps.

Default to re-prime whenever meaningful existing config is found. Never overwrite it wholesale without user approval.

Flow

  1. Analyze the repo deeply — stack, conventions, boundaries, docs, existing config. See analysis-checklist.md.
  2. Propose findings using the Output Format below. Do not touch meaningful files before approval.
  3. Create skills via /skill-creator — every skill must go through skill-creator to ensure quality and project fit. Starters in .claude/starter-skills/ are reference input to accelerate creation, not templates to copy.
  4. Generate or refine CLAUDE.md — lean, high-signal, always-on context only. Point to docs/READMEs for detail.
  5. Rules only if needed — apply the rule test. Zero rules is valid.
  6. Offer CLAUDE.local.md — personal preferences (role, sandbox URLs, preferred test data, workflow quirks), gitignored.
  7. Clean up — delete .claude/starter-skills/ after processing. Keep protected skills. Confirm all deletions.
  8. Verify — references resolve, stack claims match evidence, config is project-specific not generic.
  9. Offer skill optimization — after everything is set up, offer optimization paths sized to how many new skills were created. ≤3 skills: recommend full optimization for all. >3 skills: recommend full optimization for user-designated core skills only + description optimization for the rest (avoids long execution time and token burn). Always emphasize that full optimization takes meaningful time and tokens. Run sequentially — never in parallel; concurrent runs overload the user's machine.

Follow full step-by-step in setup-project.md.

Placement Decision Matrix

Every piece of knowledge must earn its place. Use this to decide where it belongs:

Detected needWhere it belongsTest
General framework/library knowledgeSkill (via /skill-creator)Would a reusable skill teach this across projects?
Project-specific constraint that still produces wrong code with the right skill loaded.claude/rules/<name>.md with paths:With the relevant skill activated, will code still be wrong without this?
Identity, commands, stack, key architecture, reference pointersCLAUDE.mdShould this be always-on for most tasks in this repo?
Detailed architecture or domain explanationsExisting docs/, READMEs — referenced from CLAUDE.mdValuable but too detailed for always-on?
Dense agent-oriented reference material - referenced from CLAUDE.md.claude/project/ (optional)Do agents need a tighter reference than the human docs provide?

Principles

  • Domain-scoped, project-fitted. Skills target a capability, not the project itself — with this project's patterns baked in. Generic templates and project-named catch-alls both degrade context quality.
  • Repo evidence is the source of truth. Verify conventions from actual source files, configs, and docs. Do not assert what you haven't confirmed.
  • Lean context, high signal. Follow the context engineering philosophy — load only what's needed, when it's needed. CLAUDE.md carries always-on essentials. Skills load on demand. Rules auto-attach by path.
  • Rules are optional and path-scoped. Only create a rule when the rule test passes. Do not modify _apply-all.md — it is a universal boilerplate rule from prime, not project config.
  • Reuse over duplication. If the project has strong docs, point to them. Do not re-author parallel agent docs unless existing material is too noisy or incomplete.

Output Format

Before making non-trivial changes, report findings in this shape:

Current State

What Claude config already exists; what the repo evidence says about stack, tooling, and conventions.

Proposed Changes

What to create, update, keep, or remove — including which skills to build and what each should cover.

Files to Touch

Concrete file list with short purpose notes.

Include these only when non-empty:

  • Decisions Needing User Input — overwrites, deletions, or major structural changes
  • Risks / Assumptions — inferred facts that still need verification

After approval, implement and finish with a short summary of what changed and any follow-ups.

References

ReferenceContent
analysis-checklist.mdWhat to inspect during repo + existing-config review
setup-project.mdFresh-prime / re-prime step-by-step workflow

Additional Context (Optional)

$ARGUMENTS

Signals

GitHub stars
120
Forks
16
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
optimus-prime
Source
github.com/avibebuilder/claude-prime