muapi-ai-clipping
Turn a long video into N viral-ready short clips with a single managed API call.
Skill by SamurAIGPT
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/samuraigpt-muapi-ai-clipping
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About
Use cases: backend, ml, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/muapi-ai-clipping
What's inside
- Skill name
muapi-ai-clipping- Description
- Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.
- License
- MIT
- Instructions
- 188 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: "muapi-ai-clipping" does not match folder "ai-clipping"
Files (2)
- SKILL.md
- run-ai-clipping.sh · scripts/
SKILL.md (first lines)
# AI Clipping **One API call: long video in → ranked vertical short clips out.** Each clip ships with a viral score (0–100), an opening hook line, a one-sentence "why it works" reason, and a hosted mp4 URL. Underlying API: https://muapi.ai/playground/ai-clipping Reference implementation (open source): https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator --- ## When to Use - Auto-clip a podcast, interview, lecture, vlog, or stream into TikTok / Reels / Shorts. - Extract the best 30–75s moments from any hosted video URL. - Get face-tracked vertical (9:16), square (1:1), or portrait (4:5) crops without running ffmpeg locally. If you only need raw timestamps for your own renderer, set `--coords-only` to skip cropping and just get the highlight ranges. --- ## Agent Execution Protocol ### Step 1 — Collect Inputs | Input | Required | Default | Notes | |:---|:---|:---|:---| | `--video` | yes | — | Hosted mp4 URL, or local file path (auto-uploaded), or YouTube URL (if backend supports it) | | `--num-clips` | no | `3` | Number of highlights to extract | | `--aspect-ratio` | no | `9:16` | `9:16` \| `1:1` \| `4:5` | | `--coords-only` | no | off | Return just the highlight time ranges, skip cropping | If the user gave only a video URL, run with defaults — don't block on questions. --- ### Step 2 — Verify Prerequisites - `muapi-cli` installed and authed (`muapi auth configure`) - `MUAPI_API_KEY` available (env var or `muapi auth status` passes) That's it. No `ffmpeg`, no Python, no Whisper install, no LLM keys. Everything runs server-side. --- ### Step 3 — Run the Skill ```bash bash library/edit/ai-clipping/scripts/run-ai-clipping.sh \ --video "https://example.com/podcast.mp4" \ --num-clips 5 \ --aspect-ratio 9:16 \ --view ``` The script: 1. Resolves `--video` to a hosted URL (uploads local files via `muapi upload file` if needed). 2. Calls `muapi edit clipping` with the supported parameters. 3. Polls until the job is done (or returns the `request_id` immediately under `--async`). 4. Prints a ranked summary and, if `--output-json` is set, writes the full result. --- ## What Happens Server-Side The `/ai-clipping` endpoint internally runs the full pipeline so the agent doesn't have to: - **Transcribe** with Whisper. - **Classify content type** (podcast / interview / tutorial / vlog / lecture / monologue). - **Rank highlights** through the virality framework: - **Hook moments** — strong opening line that stops the scroll - **Emotional peaks** — laughter, anger, vulnerability, awe - **Opinion bombs** — spicy, contrarian, debate-bait takes - **Revelation moments** — "wait, what?" reframes - **Conflict** — disagreement, tension, callouts - **Quotable lines** — tight, screenshot-worthy phrasing - **Story peaks** — climax of a narrative arc - **Practical value** — actionable insight a viewer will save - **Dedupe** overlapping candidates by score. - **Top-N select** and **face-track auto-crop** to the requested aspect ratio. This is why the skill is small: the heavy lifting is on the API. --- ## Quick Invocation Patterns **Defaults — three 9:16 clips:** ```bash bash run-ai-clipping.sh --video "https://example.com/long.mp4" ``` **Podcast — more clips, view in player:** ```bash bash run-ai-clipping.sh --video "<URL>" --num-clips 8 --view ``` **Square clips for Instagram feed:** ```bash bash run-ai-clipping.sh --video "<URL>" --aspect-ratio 1:1 --num-clips 3 ``` **Just the timestamps (build your own renderer):** ```bash bash run-ai-clipping.sh --video "<URL>" --coords-only --output-json result.json ``` **Async submit (returns request_id, poll later):** ```bash REQUEST_ID=$(bash run-ai-clipping.sh --video "<URL>" --async --output-json - | jq -r '.request_id') muapi predict wait "$REQUEST_ID" --download ./outputs ``` **Local file:** ```bash bash run-ai-clipping.sh --video ./recording.mp4 --num-clips 5 --view ``` **Batch — `urls.txt` with one URL per line:**
From SamurAIGPT/muapi-skills, MIT.
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Signals
- Stars
- 7
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Oct 1, 2026 (27 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/SamurAIGPT/muapi-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
muapi-ai-clipping skill. Agent Mart. https://agentmart.dev/skills/samuraigpt-muapi-ai-clipping (last updated 2026-10-24)