# Miku Media Proc > Use when the user explicitly asks for miku-media-proc or needs a repository-local skill for media processing workflows, including video, audio, image, subtitle, metadata, and batch media preparation tasks. - **Type:** Skill - **Install:** `agentstack add skill-igapyon-miku-media-proc-skills-miku-media-proc` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [igapyon](https://agentstack.voostack.com/s/igapyon) - **Installs:** 0 - **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media) - **Latest version:** 0.1.0 - **License:** Apache-2.0 - **Upstream author:** [igapyon](https://github.com/igapyon) - **Source:** https://github.com/igapyon/miku-media-proc-skills/tree/devel/skills/miku-media-proc ## Install ```sh agentstack add skill-igapyon-miku-media-proc-skills-miku-media-proc ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # miku-media-proc This skill helps Codex perform media processing work in this repository. Use it when the user explicitly names `miku-media-proc`, asks to apply this skill, or asks for media processing workflows that belong to this repository. Do not use it for unrelated general coding work, generic writing, or ordinary file inspection unless media processing is the main task. ## Environment Assumptions Assume the working environment has these tools installed and available: - `ffmpeg` and related FFmpeg command-line tools. - Node.js. - Python. - DaVinci Resolve Studio. - DaVinci Resolve scripting/API access, usable from automation code. Do not spend effort installing these tools unless the user explicitly asks for setup or troubleshooting. ## Operational Defaults - Use `ffprobe` as the default metadata-inspection command for local video and audio sources before making project, timeline, frame-rate, or export decisions. - Preserve source quality during working steps. Prefer stream copy, remuxing, original media, or lossless/high-quality intermediates over repeated lossy re-encoding. Use WAV/PCM for audio intermediates when reliability matters and the file size is acceptable. - When timeline creation, editing, or final export is needed and no other editor is specified, prefer DaVinci Resolve Studio. - For Resolve API automation, assume the user starts Resolve Studio manually, then connect through the API. Use Python as the default direct Resolve API scripting language. - For new Resolve projects, inspect source media first, set timeline resolution and `timelineFrameRate` before timeline creation, then import, assemble, and verify placement. Decide horizontal vs vertical delivery before project or timeline creation. If `timelinePlaybackFrameRate` remains `24`, report it instead of repeatedly forcing the setting. - For Resolve timeline assembly, consider preparing separate video-only and audio-only assets when source streams are unstable, audio needs WAV normalization, narration is added separately, or troubleshooting benefits from independent tracks. - When creating task-specific automation scripts, record the script path, purpose, executed actions, and generated or modified Resolve project/timeline names in a task memo under repository-root `temp/`. - For 60fps-family game or motion-dense footage, preserve the source fps family for output unless there is a concrete reason to convert. - For local Zundamon narration, use the user-started VOICEVOX Engine HTTP API at `http://127.0.0.1:50021`; if the user writes `VOICEBOX`, treat it as the same local VOICEVOX Engine workflow unless they clarify otherwise. Verify `/version` and `/speakers` before synthesis. Use Zundamon normal voice as the default narration voice unless the user requests a different speaker or style. Use the local HTTP API when possible, and use Python for API-driven narration scripts by default. - For generated audio or video playback checks, prefer VLC media player and use browser playback only as a supplemental check. - For YouTube publishing, prepare and verify the upload candidate file locally, but recommend that the user uploads it manually in YouTube Studio. Automated YouTube upload is not recommended for this skill at this time. ## Core Workflow 1. Clarify the media task: input files, desired output format, quality target, constraints, and whether destructive changes are allowed. 2. Ask what kind of video or media the sources represent when it affects the workflow, such as game footage, screen recording, live action, commentary, tutorial, or social-media content. 3. Inspect source media metadata before changing files when local media files are available. Use FFmpeg-family tools for media inspection, and use `ffprobe` as the default metadata-inspection tool. 4. When timeline creation, editing, or delivery export is needed and the user has not specified another editor, guide the workflow toward DaVinci Resolve Studio first. 5. After source files are available and media information has been inspected, prompt the user to proceed to assembly editing in DaVinci Resolve Studio when a timeline deliverable is intended. 6. For final video deliverables, confirm whether the program assembly should include a title card, end card, or other front/back matter. 7. Prefer reproducible commands and scripts over one-off manual steps. 8. Write generated files under a task-specific output directory unless the user asks for an exact destination. 9. Verify output existence, duration or dimensions where relevant, and basic metadata before reporting completion. 10. When a media-processing problem is diagnosed and solved while using this skill, record the problem, background, decision, and resolution in the project root `DECISIONS.md`; see [references/integration/decisions-log.md](references/integration/decisions-log.md). ## References - [index.json](index.json): generated inventory for this skill package. - [references/integration/workflow.md](references/integration/workflow.md): general media-processing workflow, task routing, tool defaults, and work memo rules. - [references/integration/decisions-log.md](references/integration/decisions-log.md): rules for recording solved media-processing decisions in project `DECISIONS.md`. - [references/integration/frame-rate-policy.md](references/integration/frame-rate-policy.md): source frame-rate preservation and conversion policy. - [references/davinci/resolve-24fps-recovery-case.md](references/davinci/resolve-24fps-recovery-case.md): DaVinci Resolve 24fps failure-and-recovery case for unstable smartphone or game-recorded media. - [references/youtube/youtube-upload-fps.md](references/youtube/youtube-upload-fps.md): frame-rate guidance for YouTube upload targets. - [references/youtube/youtube-format-duration-guidance.md](references/youtube/youtube-format-duration-guidance.md): YouTube normal video vs Shorts-style format, duration, and viewing-target guidance checked on 2026-07-09. - [references/youtube/youtube-resolve-delivery.md](references/youtube/youtube-resolve-delivery.md): DaVinci Resolve delivery workflow for YouTube upload files. - [references/davinci/tools-davinci-resolve.md](references/davinci/tools-davinci-resolve.md): DaVinci Resolve Studio, Python API automation, project creation, timeline fps, and assembly notes. - [references/ffmpeg/tools-ffmpeg.md](references/ffmpeg/tools-ffmpeg.md): FFmpeg-family command reference for `ffprobe`, `ffmpeg`, and related media-preparation commands. - [references/zundamon/tools-zundamon.md](references/zundamon/tools-zundamon.md): Zundamon narration text preparation and VOICEVOX Engine HTTP API notes. - [references/troubleshooting/quality-check.md](references/troubleshooting/quality-check.md): verification checklist for generated media, including VLC playback checks. - [references/VERSION.md](references/VERSION.md): source of truth for this skill version. ## Templates - [templates/response-template.md](templates/response-template.md): concise completion report structure. ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [igapyon](https://github.com/igapyon) - **Source:** [igapyon/miku-media-proc-skills](https://github.com/igapyon/miku-media-proc-skills) - **License:** Apache-2.0 Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-igapyon-miku-media-proc-skills-miku-media-proc - Seller: https://agentstack.voostack.com/s/igapyon - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.