375건 · 관련도순
Validates completeness and consistency of the project architecture against all GDDs. Builds a traceability matrix mapping every GDD technical requirement to ADRs, identifies coverage gaps, detects cross-ADR conflicts, verifies engine compatibility consistency across all decisions, and produces a PASS/CONCERNS/FAIL verdict. The architecture equivalent of /design-review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guided, section-by-section Art Bible authoring. Creates the visual identity specification that gates all asset production. Run after /concept-brainstorm is approved and before /map-systems or any GDD authoring begins.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates placeholder .aseprite files from asset specs using the Aseprite MCP. Reads asset specs and art bible, creates sprites with correct dimensions/palette/layers, exports PNGs. Run after /asset-spec has produced specs and /art-bible exists.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audits game assets for compliance with naming conventions, file size budgets, format standards, and pipeline requirements. Identifies orphaned assets, missing references, and standard violations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run an automated smoke test using the godot-mcp server. Launches the project, captures debug output, and checks for errors or crashes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes game balance data files, formulas, and configuration to identify outliers, broken progressions, degenerate strategies, and economy imbalances. Use after modifying any balance-related data or design. Use when user says 'balance report', 'check game balance', 'run a balance check'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Creates a structured bug report from a description, or analyzes code to identify potential bugs. Ensures every bug report has full reproduction steps, severity assessment, and context.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Read all open bugs in production/qa/bugs/, re-evaluate priority vs. severity, assign to sprints, surface systemic trends, and produce a triage report. Run at sprint start or when the bug count grows enough to need re-prioritization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Performs an architectural and quality code review on a specified file or set of files. Checks for coding standard compliance, architectural pattern adherence, SOLID principles, testability, and performance concerns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Drive one AI agent from another through kolu's terminals: spawn a Claude Code / Codex / opencode session in a PTY, prompt it, watch the screen, read the reply, prompt again. PRIMARY PATH: the kolu MCP tools (`lifecycle_create`/`lifecycle_sendInput`, `wait_outputSettled`/ `wait_agentState`, `screen_text`, the `terminals` resource). FALLBACK: the `kolu` CLI — same verbs, same discipline. Triggers on "drive another agent", "agent drives agent", "make Claude drive Codex", or wiring a loop where one coding agent supervises another.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run a high-thoroughness end-to-end implementation loop using clean worker worktrees, per-slice planning, implementation, explicit review/fix iteration, orchestrator integration, and final commit/PR drafting. Use when the user explicitly wants a Ralph/Wiggum-style loop, autonomous multi-agent execution, a delegated feature/bugfix carried from confirmed scope through review-ready completion, or RFC-driven implementation that should be reviewed, bumped to In Progress, decomposed into phases, and executed through nested sub-loops. Supports Codex subagents by default and external CLI workers such as OpenCode when explicitly requested and available.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run Claude Code, Codex CLI, Gemini CLI, or OpenCode through bounded H100 post-training tasks and compare how well each agent improves a base LLM.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when delegating a coding task to mimo (the mimo CLI / Xiaomi opencode fork) — offloading implementation to mimo, resuming a mimo session, or running work on a chosen provider/model. Triggers on "/mimo-code", "run mimo", "delegate to mimo", "resume the mimo session", "offload this to mimo".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Copy this repo's skills into another agent harness's skills directory by name — resolves the harness alias to its path via scripts/sync-targets.json and runs sync-skills.sh. Use only when the user asks to copy/sync/push the skills to another harness (oh-my-pi, opencode, kimi, codex, etc.) — never trigger automatically.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create Claude Code slash commands and OpenCode command files that delegate to subagents. Use when creating new commands or refactoring existing ones to follow the delegation pattern.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Route plain-language requests for Pi, Claude Code, Codex, OpenCode, Gemini CLI, or ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when about to commit, finish a task, open a PR, summarize work for the user, or when the user asks for a review or summary — NOT just on autonomous commits, which are rare in OpenCode usage
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run any installed skill on several models at once — you, OpenAI Codex, OpenCode and whoever else the profile names — and show what each one made of it side by side. Every model gets the same prepared copy of the skill and works read-only. Use for "/multi:skill <name>", "run this skill on every model", "run <skill> through multi", or any skill whose answer you want from more than one model.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Walks a user through connecting the judge models this plugin can use — Codex, OpenCode, OpenRouter (or any compatible endpoint: 9router, z.ai, Moonshot), Gemini — and through picking models, including "research current models for me". Use for "multi setup", "set up multi", "configure judges/reviewers/ backends", "connect 9router", "change/pick models", "onboarding", or whenever a probe shows missing backends and the user needs to know what to do about it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Code review by several models at once — Claude sub-agents, OpenAI Codex, and a cheap third reviewer via OpenCode — reconciled into one report. Reviews whatever is named: a diff, a branch, specific files, one function, a legacy module, a whole repo. Use for any review request, a second or third opinion, a cross-check before a PR, or "code-review", "multi", "consensus review".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Put one question to several models at once — you, OpenAI Codex, and a cheap third via OpenCode — and show all the answers side by side. No judging, no consensus: three opinions, the user picks. Use for "ask everyone", "what do the other models think", "second opinion", "multi ask", or any open question where one model's answer is not enough.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.