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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Discover current MuAPI image models and run one explicitly confirmed asynchronous image generation request with bounded polling. Use when an agent needs hosted image generation without hard-coding stale model endpoints or request IDs.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use the bundled scripts/muapi_media.py CLI to discover current MuAPI image models and submit
one explicitly confirmed image-generation request. The CLI uses the live catalog's name,
category, and already-versioned endpoint fields, then polls the standard prediction result
endpoint. It does not assume that the catalog contains an inline request schema; add model-specific
fields only from the current model contract.
This skill covers text-to-image and image-to-image workflows. Do not use it for MuAPI video, audio, 3D, chat, or model-training requests.
Set the API key in the environment. Never pass it as a CLI argument or commit it:
export MUAPI_API_KEY="your-api-key"
MUAPI_BASE_URL is optional and defaults to https://api.muapi.ai. Use it only for an approved
compatible deployment.
python3 scripts/muapi_media.py models --category image --query flux
The public catalog currently returns a top-level models array. Image-generation entries use
categories such as Text to Image and Image to Image; their endpoint values already include
the /api/v1/ prefix. Choose an exact model from this output immediately before generation.
{
"prompt": "A clean product photograph on a neutral background",
"aspect_ratio": "1:1"
}
Keep only fields supported by the selected model's current request contract. The catalog is a model directory, not a guarantee that every model accepts the same parameters. A prompt is required for this skill.
python3 scripts/muapi_media.py generate \
flux-dev \
--params-file request.json \
--confirm-paid
--confirm-paid is mandatory. The CLI sends exactly one generation POST, never retries an
ambiguous POST, and polls only GET requests with a finite budget. The model argument may be the
catalog model name or its exact /api/v1/... endpoint path.
Use --output to download the first completed artifact without sending the API key to the output
host:
python3 scripts/muapi_media.py generate \
flux-dev \
--params-file request.json \
--confirm-paid \
--output ./muapi-output.png
MUAPI_API_KEY server-side and out of logs, prompts, screenshots, and committed files.--max-polls./api/v1/ to an endpoint that already has it.Commands write structured JSON to stdout. A successful generation includes the selected model, request ID, terminal status, output URLs, and—when requested—the local artifact path.
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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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。