By speson
not oh-my. reforged. — AI agent orchestration, quality hooks, and smart routing for Claude Code
Autonomous execution mode — break a goal into tasks and execute them sequentially with safety checkpoints.
Deep analysis with opus model. Use for complex debugging, architectural decisions, difficult bugs, security analysis, and tasks requiring careful reasoning.
Deep project initialization — generate hierarchical AGENTS.md, CLAUDE.md, and directory-level documentation.
Multi-perspective parallel code review — analyze git diff from 5 viewpoints simultaneously.
Diagnose plugin health — check dependencies, hooks, agents, and runtime state.
Requirements analyst — decomposes goals into specifications, identifies constraints, maps dependencies, and defines acceptance criteria.
Build and type error specialist — diagnoses and fixes compilation errors, type mismatches, and dependency issues.
Iterative consensus planning — planner and critic debate until agreement.
Plan critic — evaluates implementation plans for gaps, risks, over-engineering, and overlooked alternatives.
Multi-strategy codebase search agent — combines text, file, git, and symbol search for comprehensive code discovery.
Multi-perspective code audit. Launches parallel security, quality, performance, and architecture analysis agents.
Multi-strategy parallel codebase search. Combines text search, file patterns, git history, and import tracing to find code comprehensively.
Automatically detect and understand project structure, tech stack, conventions, and key files. Provides project context as background knowledge.
Experiment with code changes in an isolated worktree. Changes can be reviewed and merged or discarded.
5-stage quality pipeline for Agent Teams — Plan, PRD, Execute, Verify, Fix
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
Hook triggers when Bash tool is used
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Modifies files
Hook triggers on file write and edit operations
Modifies files
Hook triggers on file write and edit operations
External network access
Connects to servers outside your machine
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools

not oh-my. reforged.
한국어 | English
Your Claude Code shouldn't need a babysitter.
not-my-reforge teaches your AI agent to earn trust, fix its own mistakes, and orchestrate itself — so you can stop micromanaging prompts and start shipping.
oh-my-* gave agents commands. We gave them autonomy.
Most Claude Code plugins give you more buttons to press. We took the opposite approach: fewer decisions for you, better decisions by the agent.
Zero runtime dependencies. Pure hooks architecture. No setup wizard. No config ceremony.
Just install and let it cook.
/plugin add marketplace https://github.com/speson/not-my-reforge
/plugin install not-my-reforge
For the best experience (sidebar dashboard, parallel execution), run inside tmux:
tmux new-session "claude --dangerously-skip-permissions"
git clone https://github.com/speson/not-my-reforge
cd not-my-reforge && npm install && npm run build
# Run inside tmux for full feature support
tmux new-session "claude --plugin-dir ."
Note: When developing this plugin itself, always use
--plugin-dirto point at the local source. The installed version (~/.claude/plugins/cache/...) is a separate copy — edits to the repo won't take effect until you reinstall or use this flag. Using--plugin-diralso ensures hooks run against your latest build, avoiding stale-cache issues like the verification gate running outdated code.
#orch implement auth, profiles, and notifications # Smart orchestration
#deep refactor the authentication module # Deep analysis (opus)
#quick what does this function do? # Fast answer (haiku)
#sec audit the API authentication layer # Security scan
#score # Quality score report
#trust # Trust level status
/not-my-reforge:diff-review # 5-perspective review
#search UserService # DeepSearch
8 modes — or let #orch auto-select:
| Mode | Command | Best For |
|---|---|---|
| Ralph Loop | reforge loop <task> | Iterative refinement until success |
| Autopilot | reforge autopilot <goal> | Sequential multi-task automation |
| Pipeline | reforge pipeline <goal> | Quality gates: plan → implement → verify → fix → review |
| Team | reforge team N <task> | Parallel workers + worktree isolation |
| Swarm | reforge swarm <goal> | Parallel research and analysis |
| QA Loop | reforge qa <target> | Auto test → fix → retest cycle |
| Ralplan | reforge ralplan <goal> | Iterative consensus planning |
| Ultrawork | #ultrawork <task> / #uw <task> | ALL agents in maximum parallel execution |
#orch routing:
| Pattern | Mode |
|---|---|
| Multiple tasks (comma/and) | team |
| Multi-task + complex scope | ultrawork |
| "fix all" + test-related | qa |
"fix all" / --verify | ralph |
| Analysis / research / audit | swarm |
| Design / plan / architect | ralplan |
| Quality-critical (payment, auth) | pipeline |
reforge cancel # cancel all modes
/not-my-reforge:mode # check active mode
20 Core + 5 Team agents:
Claude Code operating workflows that prioritize result quality and speed over token efficiency — aggressive parallelization, multi-agent orchestration, persistent execution loops, and multi-perspective verification.
npx claudepluginhub speson/not-my-reforge --plugin not-my-reforgeIntelligent orchestration platform for AI coding tools — routes tasks to the best model, learns from outcomes, and enforces quality through multi-model consensus. 46 MCP tools for agent management, research, memory, consensus voting, codebase intelligence, and a full dev pipeline.
Multi-agent orchestration framework for Claude Code, Gemini CLI, and Codex CLI — 19 agents, 14 skills, 16 commands, quality gates, TDD enforcement
Universal quality control orchestrator and final authority for any software development project. Dynamically discovers and coordinates with available sub-agents, performs comprehensive multi-dimensional quality assessment, security validation, and deployment readiness verification. Adapts to any project type, programming language, or development framework while maintaining enterprise-grade quality standards. Examples: <example>Context: Code changes ready for review across any project. user: 'Please review this code before commit' assistant: 'I'll use the 1-ceo-quality-control-agent to orchestrate comprehensive quality validation, discover available specialists, and perform final security scanning before approval.' <commentary>Universal quality control requires comprehensive validation across all dimensions regardless of project type.</commentary></example> <example>Context: Multi-agent work completion needing validation. user: 'Several agents completed their tasks, need quality review' assistant: 'Let me engage the 1-ceo-quality-control-agent to coordinate comprehensive validation across all completed work and ensure quality standards.' <commentary>Multi-agent coordination and quality validation applies to any development project.</commentary></example>
Multi-agent orchestration via li o flow and li o fanout
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Task-focused agents for test, review, debug, docs, CI, security, refactoring, research, performance, and search-replace — with teammate and subagent role guidance