ccg
Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask gemini, then Claude synthesizes results
What this skill does
# CCG - Claude-Codex-Gemini Tri-Model Orchestration CCG routes through the canonical `/ask` skill (`/ask codex` + `/ask gemini`), then Claude synthesizes both outputs into one answer. Use this when you want parallel external perspectives without launching tmux team workers. ## When to Use - Backend/analysis + frontend/UI work in one request - Code review from multiple perspectives (architecture + design/UX) - Cross-validation where Codex and Gemini may disagree - Fast advisor-style parallel input without team runtime orchestration ## Requirements - **Codex CLI**: `npm install -g @openai/codex` (or `@openai/codex`) - **Gemini CLI**: `npm install -g @google/gemini-cli` - `omc ask` command available - If either CLI is unavailable, continue with whichever provider is available and note the limitation ## How It Works ```text 1. Claude decomposes the request into two advisor prompts: - Codex prompt (analysis/architecture/backend) - Gemini prompt (UX/design/docs/alternatives) 2. Claude runs via CLI (skill nesting not supported): - `omc ask codex "<codex prompt>"` - `omc ask gemini "<gemini prompt>"` 3. Artifacts are written under `.omc/artifacts/ask/` 4. Claude synthesizes both outputs into one final response ``` ## Execution Protocol When invoked, Claude MUST follow this workflow: ### 1. Decompose Request Split the user request into: - **Codex prompt:** architecture, correctness, backend, risks, test strategy - **Gemini prompt:** UX/content clarity, alternatives, edge-case usability, docs polish - **Synthesis plan:** how to reconcile conflicts ### 2. Invoke advisors via CLI > **Note:** Skill nesting (invoking a skill from within an active skill) is not supported in Claude Code. Always use the direct CLI path via Bash tool. Run both advisors: ```bash omc ask codex "<codex prompt>" omc ask gemini "<gemini prompt>" ``` ### 3. Collect artifacts Read latest ask artifacts from: ```text .omc/artifacts/ask/codex-*.md .omc/artifacts/ask/gemini-*.md ``` ### 4. Synthesize Return one unified answer with: - Agreed recommendations - Conflicting recommendations (explicitly called out) - Chosen final direction + rationale - Action checklist ## Fallbacks If one provider is unavailable: - Continue with available provider + Claude synthesis - Clearly note missing perspective and risk If both unavailable: - Fall back to Claude-only answer and state CCG external advisors were unavailable ## Invocation ```bash /oh-my-claudecode:ccg <task description> ``` Example: ```bash /oh-my-claudecode:ccg Review this PR - architecture/security via Codex and UX/readability via Gemini ```
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.