本文へ移動
cccskills
無料GitHub で公開

muapi-media

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.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md3.8 KB
  • scripts/muapi_media.py11.2 KB
  • tests/test_muapi_media.py3.3 KB

SKILL.md(原文)

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。

MuAPI Media

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.

When to use this skill

  • The user wants to find a current MuAPI image model.
  • An image workflow needs MuAPI's exact model endpoint rather than a remembered alias.
  • The user has explicitly approved a potentially billable image-generation request.
  • An asynchronous MuAPI prediction needs bounded status polling.

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.

Setup

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.

Workflow

1. Discover current image models

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.

2. Prepare and review parameters

{
  "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.

3. Confirm cost and generate once

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

Safety rules

  • Keep MUAPI_API_KEY server-side and out of logs, prompts, screenshots, and committed files.
  • Never retry a generation POST automatically. Require fresh user confirmation before another paid request.
  • Poll only with GET and stop at --max-polls.
  • Preserve the catalog endpoint path; do not prepend /api/v1/ to an endpoint that already has it.
  • Download only HTTPS output URLs and do not forward the API key to the output host.
  • Require human review for sensitive, regulated, or high-impact content.

Output

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.

Official references

レビュー

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。

同じリポジトリのスキル

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。

davepoon/buildwithclaude3,6212026年10月10日 更新

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。

davepoon/buildwithclaude3,6212026年10月10日 更新

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。

davepoon/buildwithclaude3,6212026年10月10日 更新

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。

davepoon/buildwithclaude3,6212026年10月10日 更新

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。

davepoon/buildwithclaude3,6212026年10月10日 更新

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。

davepoon/buildwithclaude3,6212026年10月10日 更新

davepoon のスキルをすべて見る

このスキルの問題を報告する