Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。