By yeaight7
Orchestrate multiple AI models (Codex, Gemini, Claude) with tier-based routing, initiate parallel advisor reviews from Codex and Gemini for architecture/UX perspectives, and gather codebase context via a 3-cycle search loop before delegating tasks to subagents.
Use when designing tool definitions for a new agent or subagent, an agent shows high retry rates, ambiguous tool invocations, or silent failures, or an existing agent harness needs a quality review.
Use when routing a prompt to a local provider CLI for a second opinion, review, or plan -- you are about to call a provider directly, need the response saved for later, or want a single consistent way to invoke codex/gemini/claude.
Use when starting work in an unfamiliar area of a codebase, spawning a subagent that needs targeted file context, a first search pass missed the relevant file, or the file scope of a task is unclear.
Use when selecting a model for a new task or subagent, deciding whether to escalate after a failed attempt, or designing a multi-agent pipeline with mixed task complexity.
Use when a request needs parallel external perspectives — combined backend and UI work, code review from multiple angles, or cross-validation where different models may disagree.
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Oh My Zsh for coding agents.
Quickstart · Agent Quickstart · Plugins · Installation · Security Model · Contributing
Agent Powerups is an Oh My Zsh-style collection of reusable skills, slash commands, MCP configs, hooks, AGENTS.md templates, and workflows for coding agents.
Today, this repo ships:
apx) with runnable local checksapx plugins inspection (apx plugins list)apx profiles for curated skill/plugin setsNative install is direct for humans. Safety boundaries stay around external tools, secrets, shell profiles, and MCP enablement.
| Path | Status | Notes |
|---|---|---|
skills/ | shipped | Reusable agent workflows such as systematic-debugging and writing-plans |
mcp/ | shipped | Local-first GitHub MCP config with check, smoke, and explicit install commands |
agents-md/ | shipped | Starter AGENTS.md templates |
commands/ | shipped | Review-first command prompts plus safe runnable checks |
hooks/ | shipped | Review-before-use hook recipes plus safe runnable checks |
workflows/ | shipped | Scenario guides |
plugins/ | shipped | Plugins with local-first discovery, validation, native install, and marketplace metadata (apx plugins list) |
scripts/ | shipped | Validation and tool-check helpers for this repo |
examples/ | shipped | Minimal safe setup examples |
If you are an agent working in a repo with Agent Powerups available, route tasks to capabilities yourself instead of waiting to be told:
Match first. On Claude Code the host already lists skills natively — match the task to the narrowest fitting skill (plus obvious fits like no-fluff). On Codex, Gemini, or generic agents, start with apx discover.
Discover the rest — anything not natively loaded (MCP configs, hooks, AGENTS.md templates, installed-only assets):
apx discover "<the user's task>" --target <codex|claude-code|gemini|generic> --json
apx info <chosen-asset> # what it is, when to use it, source path, next action
Read, apply, verify. Read the asset's SKILL.md (or file) before applying it; run apx check <asset> only if it declares external requirements; then verify the result against the task.
Gate risky assets. MCP configs and hooks are review-before-use — surface them for approval, never auto-enable.
npm install -g agent-powerups
apx install claude --full
npx claudepluginhub yeaight7/agent-powerups --plugin agentic-systemsCore developer workflow skills: planning, execution, communication, and powerup discovery.
Subagent orchestration, wave execution, persistent completion, autonomous delivery, and migration batching.
Search-first codebase understanding, context retrieval, mapping, pattern detection, and living project intelligence.
Safe refactoring, dead-code removal, legacy modernization, and dependency hygiene.
Requirements clarification, phase planning, workstreams, and wave-based execution for reviewable delivery.
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Unified capability management center for Skills, Agents, and Commands.
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.