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oh-my-customcode

Your AI Agent Stack. Compiled, Not Configured.

한국어 문서 (Korean)

50 agents. 114 skills. 23 rules. One command.

Philosophy

oh-my-customcode is built on two ideas:

1. Agent systems are compiled, not configured.

| Compile Concept | oh-my-customcode |

| Source code | .claude/skills/ — reusable knowledge and workflows | | Build artifacts | .claude/agents/ — executable specialists assembled from skills | | Compiler | mgr-sauron (R017) — structural verification and integrity | | Spec | .claude/rules/ — constraints and build rules | | Linker | Routing skills — connect agents to tasks | | Standard library | guides/ — shared reference documentation |

Skills are source. Agents are compiled output. Sauron verifies the build. This separation means skills evolve independently of agents, and agents can be recompiled from updated skills at any time.

1. If it can't be done, make it work.

When no specialist exists for a task, oh-my-customcode does not fail. It creates one.

This is not a fallback. It is the design. The system treats missing expertise as a build problem — find the right skills, compile a new agent, execute.

How It Works

Orchestration

The main conversation acts as a singleton orchestrator (R010). It never writes files directly. Every action is delegated through routing skills to specialized agents.

Four routing skills cover the full domain:

| Routing Skill | Routes To |

| secretary-routing | Manager agents (mgr-), system agents (sys-) | | dev-lead-routing | Language, backend, frontend, tooling, DB, infra, arch agents | | de-lead-routing | Data engineering agents (de-*) | | qa-lead-routing | QA team (qa-planner, qa-writer, qa-engineer) |

Model Selection

Each agent runs on the model optimized for its task:

| Model | When | Examples |

| opus | Complex reasoning, architecture | Design review, research synthesis | | sonnet | Implementation, general tasks | Code generation, agent creation | | haiku | Fast validation, search | File search, count verification |

The reasoning-sandwich pattern formalizes this: opus for pre-analysis, sonnet for implementation, haiku for post-verification.

Parallel Execution

Independent tasks run in parallel (R009). Up to 4 concurrent agents per message:

Soft default is 4 concurrent agents, hard cap 5. Agent Teams (shared task list, peer messaging) is used instead of plain parallel agents when it's available — but it requires Claude Code to expose a TeamCreate tool, which is not present on a stock install today. Until then, oh-my-customcode's standard Agent-tool parallel model above is what actually runs.

Agents (50)

| Category | Count | Agents |

| Languages | 6 | lang-golang, lang-python, lang-rust, lang-kotlin, lang-typescript, lang-java21 | | Backend | 6 | be-fastapi, be-springboot, be-go-backend, be-express, be-nestjs, be-django | | Frontend | 5 | fe-vercel, fe-vuejs, fe-svelte, fe-flutter, fe-design | | Data Engineering | 6 | de-airflow, de-dbt, de-spark, de-kafka, de-snowflake, de-pipeline | | Database | 4 | db-supabase, db-postgres, db-redis, db-alembic | | Tooling | 4 | tool-npm, tool-optimizer, tool-bun, slack-cli | | Architecture | 3 | arch-documenter, arch-speckit, agora-runner | | Infrastructure | 2 | infra-docker, infra-aws | | QA | 3 | qa-planner, qa-writer, qa-engineer | | Security | 1 | sec-codeql | | Managers | 6 | mgr-creator, mgr-updater, mgr-supplier, mgr-gitnerd, mgr-sauron, mgr-claude-code-bible | | System | 4 | sys-memory-keeper, sys-naggy, tracker-checkpoint, wiki-curator |

Each agent declares its tools, model, memory scope, and limitations in YAML frontmatter. Tool budgets are enforced per agent type for accuracy.

Skills (114)

| Category | Count | Includes |

| Best Practices | 24 | Go, Python, TypeScript, Kotlin, Rust, React, FastAPI, Spring Boot, Django, Flutter, Docker, AWS, Postgres, Redis, Kafka, dbt, Spark, Snowflake, Airflow, pipeline-architecture-patterns, alembic, and more | | Routing | 4 | secretary, dev-lead, de-lead, qa-lead | | Workflow | 14 | structured-dev-cycle, deep-plan, research, evaluator-optimizer, dag-orchestration, worker-reviewer-pipeline, reasoning-sandwich, pipeline, fsd, and more | | Development | 8 | dev-review, dev-refactor, analysis, create-agent, intent-detection, web-design-guidelines, omcustom-takeover, skill-extractor | | Operations | 9 | update-docs, audit-agents, sauron-watch, monitoring-setup, fix-refs, release-notes, and more | | Memory | 3 | memory-save, memory-recall, memory-management | | Package | 3 | npm-publish, npm-version, npm-audit | | Optimization | 3 | optimize-analyze, optimize-bundle, optimize-report | | Security | 2 | adversarial-review, cve-triage | | Consensus | 1 | agora — anonymous multi-round multi-vendor consensus review | | Other | 43 | claude-native, vercel-deploy, skills-sh-search, result-aggregation, and ~39 more |

Skills use a 3-tier scope system: core (universal), harness (agent/skill maintenance), package (project-specific).

Commands

All commands are invoked inside the Claude Code conversation.

Development

| Command | What it does |…