Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code. Say 'check with codex' or 'ask gemini for a second opinion' and Claude runs the other agent, keeps a topic-aware session, and critiques the result.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Delegate tasks to external AI CLIs from inside Claude Code. Say "check with codex", "ask gemini for a second opinion", or "validate this before I merge" and Claude runs the other agent, keeps a topic-aware conversation, and critiques the result rather than echoing it.
Supports OpenAI Codex CLI and Google Antigravity CLI (multi-model: Gemini, Claude, GPT-OSS). No API keys — both CLIs use their own auth (OAuth / Google sign-in).
Source: sparklingneuronics/sparkling-skills (MIT)
User: ask codex to review my uncommitted changes before I merge
Claude: [runs codex review --uncommitted, synthesizes findings]
Codex flagged three things. I agree with #1 (missing null check)
but #2 and #3 are false positives. Want me to fix the null check?
User: ask gemini to challenge this architecture
Claude: [runs agy with Gemini 3.1 Pro, compares with own analysis]
Gemini raises a valid concern about hot-partition risk that I
hadn't flagged. Its other two points don't apply here.
User: continue with codex — is the top issue real?
Claude: [resumes the same codex session with a delta bridge]
Codex confirms the null-check issue — it traced the code path.
codex CLI + codex login (OAuth)agy CLI + Google sign-in (free account)Install: claude install-plugin sparklingneuronics/sparkling-skills
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
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Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
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