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ClaudeWave

Primes your project for peak Claude Code performance

Plugins58 stars10 forksPythonMITUpdated 2d ago
ClaudeWave Trust Score
87/100
Trusted
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
Last scanned: 6/11/2026
Install as a Claude Code plugin
Method: Clone
Claude Code
/plugin marketplace add oprogramadorreal/optimus-claude
/plugin install optimus-claude
1. Inside Claude Code, add the marketplace and install the plugin with the commands above.
2. Follow any post-install configuration from the README.
3. Restart the session if commands or hooks do not show up immediately.

23 items in this repository

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.

Install

Monitors test coverage gaps when testable code is added or modified. Does not write tests — only flags what needs testing.

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branchSkill

Creates and switches to a new, conventionally named branch — derives the name from an inline description, conversation context, or local git diffs. Preserves all local changes. Never commits or pushes. Use when you want a properly named branch for new or in-progress work.

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Iterative auto-fix code review — runs `/optimus:code-review` in a fresh subagent context per iteration, applies fixes, runs tests, bisects failures, and continues until convergence or the iteration cap (default 8, hard cap 20). Each iteration runs in an isolated subagent so context does not accumulate. Requires a test command in .claude/CLAUDE.md. Use when single-pass review leaves issues or for thorough cleanup before a release.

Install

Reviews local changes, PRs/MRs, or branch diffs against project coding guidelines using 5 to 7 parallel review agents (bug detection, security/logic, guideline compliance x2, code simplification, test coverage, contract quality). Use before committing, on open PRs/MRs, or to review any branch diff. HIGH SIGNAL only: real bugs, logic errors, security concerns, and guideline violations. For iterative auto-fix in a loop, use `/optimus:code-review-deep`.

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Suggests conventional commit messages by analyzing staged, unstaged, and untracked git changes — read-only, never commits. Use when a commit message suggestion is needed without actually committing.

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commitSkill

Stages, commits, and optionally pushes local changes with a conventional commit message — analyzes diffs, generates the message, confirms with the user, and commits. On protected branches, offers to create a feature branch automatically. Multi-repo aware. Use when ready to commit work in one step.

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handoffSkill

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initSkill

Prepares a project for Claude Code — generates CLAUDE.md with progressive disclosure docs, auto-format hooks, and test infrastructure (framework, coverage tooling, testing docs). Detects empty directories and offers new-project scaffolding via official stack tooling before setup. Also audits and syncs existing documentation against source code. Replaces /init. Supports single projects, monorepos, and multi-repo workspaces (separate git repos under a shared parent directory). Use to bootstrap a new or existing project for Claude Code, or re-run to update an outdated setup.

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jiraSkill

Fetches and optimizes context from a JIRA issue for AI-assisted development. Searches assigned issues or fetches by key. Distills title, description, acceptance criteria, sprint context, and comments into a structured task description. Analyzes the codebase to surface missing criteria, scope, and risks. Optionally enriches the JIRA issue with a structured analysis comment, and for Complex-scope work can spawn implementation tickets in JIRA. Re-running on the same key refreshes the local task with the latest JIRA state instead of overwriting prior enrichment. Use before /optimus:tdd, /optimus:brainstorm, or /optimus:branch to pull task context from JIRA, or to refresh existing context after JIRA edits.

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Configures Claude Code permissions for safe agent autonomy. Creates settings.json with allow/deny rules and a path-restriction hook. Use after /optimus:init to enable autonomous agent workflows, or standalone to lock down a project's permission boundaries.

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prSkill

Creates or updates a pull request (GitHub) or merge request (GitLab) for the current branch using the Conventional PR format — intent, summary, changes, rationale, and test plan. Captures the implementation conversation's intent into the PR description when run in the same session. Use when a branch is ready for review, or to update an existing PR/MR description.

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promptSkill

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Iterative project-wide refactoring — runs `/optimus:refactor` in a fresh subagent context per iteration, applies fixes, runs tests, bisects failures, and continues until convergence or the iteration cap (default 8, hard cap 20). Supports `testability` or `guidelines` focus to prioritize finding categories. Each iteration runs in an isolated subagent so context does not accumulate. Requires a test command in .claude/CLAUDE.md. Use for thorough guideline alignment or testability cleanup before /optimus:unit-test.

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Refactors existing code for guideline compliance and testability using 4 parallel analysis agents (guideline compliance, testability barriers, duplication/consistency, code-simplifier). Two goals — align code with project guidelines AND make untestable code testable so /optimus:unit-test can safely increase coverage. Use after /optimus:init to align existing code, before /optimus:unit-test to remove testability barriers, or periodically to prevent tech debt. Supports "testability" focus (after unit-test flags untestable code) or "guidelines" focus (after init establishes rules) to prioritize finding categories, and flexible scoping. For iterative refactor in a loop, use `/optimus:refactor-deep`.

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resetSkill

Removes files installed by /optimus:init and /optimus:permissions from the project. Compares each file against plugin templates and classifies as unmodified, likely generated, or user-modified. Always asks before deleting. Git-tracked files are noted as recoverable. Tests are never touched. Monorepo and multi-repo aware. Use for clean reinstall or to stop using optimus.

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Use when starting a new project or product and you want a docs-first plan before writing code — scaffolds an empty, product-neutral spec-driven-development cascade (product vision, MVP PRD, target tech-stack) for a human to fill, then hands off to brainstorm. Emits skeletons only; it never authors product content and never overwrites existing docs.

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tddSkill

Guides test-driven development — decompose a feature or bug fix into behaviors, then cycle through Red (failing test) → Green (minimal implementation) → Refactor for each one. Requires /optimus:init and working test infrastructure. Use when starting a new feature or bug fix with test-first discipline.

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Iterative test-coverage improvement loop — dispatches `/optimus:unit-test` (unit-test phase) and `/optimus:refactor` with testability focus (refactor phase) into fresh subagent contexts per cycle, applies tests, runs the test suite, bisects refactor failures, and continues until coverage plateaus or the cycle cap (default 5, hard cap 10). Use to drive coverage up on a codebase that has untestable barriers — the loop alternates between writing tests and unblocking testability so a single skill cannot stall.

Install

Implements an approved spec by having Claude design and run its own Claude Code dynamic workflow (real parallel subagents) — you hand it the goal and constraints, it chooses the orchestration. Test-first is enforced as a quality bar (tests accompany or precede code and the suite is left green), not as supervised Red-Green-Refactor. A peer of /optimus:tdd for spec implementation; prefer it for large or parallelizable specs where one linear pass is slow. Requires /optimus:init and a spec (auto-detects docs/specs/ or docs/jira/, or pass a path). Uses meaningfully more tokens than a normal session. Use when a spec is ready to build and you want fan-out implementation instead of turn-by-turn TDD cycles.

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Creates a git worktree for isolated parallel development — new branch in a separate directory with project setup and test baseline. Enables multiple Claude Code sessions on different tasks simultaneously. Multi-repo aware. Use when you need to work on something else without disturbing current work.

Install
Use cases

Plugins overview

README preview not available. Visit the repo on GitHub for full documentation.
aianthropicautomationclaudeclaude-codeclaude-code-pluginclaude-code-skillscode-qualitycode-reviewdeveloper-toolsllmtddunit-testing

What people ask about optimus-claude

What is oprogramadorreal/optimus-claude?

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oprogramadorreal/optimus-claude is plugins for the Claude AI ecosystem. Primes your project for peak Claude Code performance It has 58 GitHub stars and was last updated 2d ago.

How do I install optimus-claude?

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You can install optimus-claude by cloning the repository (https://github.com/oprogramadorreal/optimus-claude) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is oprogramadorreal/optimus-claude safe to use?

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Our security agent has analyzed oprogramadorreal/optimus-claude and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains oprogramadorreal/optimus-claude?

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oprogramadorreal/optimus-claude is maintained by oprogramadorreal. The last recorded GitHub activity is from 2d ago, with 1 open issues.

Are there alternatives to optimus-claude?

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Yes. On ClaudeWave you can browse similar plugins at /categories/plugins, sorted by popularity or recent activity.

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