
Claude Skills by Yeachan-Heo
github.com/Yeachan-HeoFull autonomous execution from idea to working code
Cancel any active OMC mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline)
Deep codebase initialization with hierarchical AGENTS.md documentation
Configure HUD display options (layout, presets, display elements)
Setup and configure oh-my-claudecode (the ONLY command you need to learn)
Strategic planning with optional interview workflow
Manage isolated dev environments with git worktrees and tmux sessions
Self-referential loop until task completion with architect verification
Iterative planning with Planner, Architect, and Critic until consensus
Automated release workflow for oh-my-claudecode
Orchestrate parallel scientist agents for comprehensive research with AUTO mode
Review a plan with Critic
Manage local skills - list, add, remove, search, edit
Show agent flow trace timeline and summary
Review reusable project knowledge and decide what belongs in project memory, notepad, or durable docs
Autonomous evolutionary code improvement engine with tournament selection
Turn a repeatable workflow from the current session into a reusable OMC skill draft
N coordinated agents on shared task list using Claude Code native teams
Durable multi-goal workflow that persists plan/ledger artifacts under .omc/ultragoal and prints Claude /goal handoff text for the active session
Verify that a change really works before you claim completion
Structured visual QA verdict for screenshot-to-reference comparisons
LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)
This compatibility command keeps `/oh-my-claudecode:skill` available without loading the full `skill` skill description in every Claude Code session.
Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode
Process-first advisor routing for Claude, Codex, or Gemini via `omc ask`, with artifact capture and no raw CLI assembly
Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior
Configure notification integrations (Telegram, Discord, Slack) via natural language
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Socratic deep interview with mathematical ambiguity gating before explicit execution approval
Invoke parallel document-specialist agents for external web searches and documentation lookup
Diagnose and fix oh-my-claudecode installation issues
Lay the keel of the shipyard harness in any repo — the 4-pillar shared environment (Context, Rules, Tools, Standards) across 5 surfaces (CLAUDE.md, skills, design-system, mcp/cli, shared context) so that every human and agent inherits the same design language and anyone can ship. Run once per repo; re-run with --check to audit drift.
Carry an approved task through to working, verified code
Deterministic orchestration graph runtime - declarative DAG pipelines with journal-based crash recovery
Shipyard's governed delivery pipeline — converge the mission, synthesize a durable spec, decompose vertical-slice tickets with blocking edges, run the frontier in parallel via team, close with verification, and report with a full decision log. Humans own the checkpoints where there is no unique answer or the error cost is severe; agents continuously run everything repeatable and acceptable-by-evidence.
YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away