Skill 详情
media-use
Agent Media OS,HyperFrames 项目中满足所有媒体需求的单一技能。将 BGM、SFX、图像、图标、品牌 logo、语音、调色或 LUT 解析为冻结的本地文件或可直接粘贴的块 + 台账记录(一个动词,`resolve`);当目录中没有时,通过 TTS / 音乐 / 图像模型生成;通过一个共享音频引擎制作旁白、转录、字幕和背景移除;对媒体进行操作(cut / reframe / transform);并跨项目复用资产。也适用于模糊反馈,例如真实素材看起来偏暗、平淡、无聊,应该具有复古/摄像机/印刷/ASCII 感,需要 p……
匹配原因: 媒体素材解析与生成可支持代理商创意制作,但它绑定于 HyperFrames 项目。
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SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
--- name: media-use description: Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal. --- # media-use The media OS for HyperFrames: resolve · generate · operate · remember — every media type, one skill, zero context noise. First run: install and sign in to the `heygen` CLI (the free-usage path), then verify with `node <SKILL_DIR>/scripts/resolve.mjs --doctor`. Setup and providers: `references/setup-providers.md`. ## Resolve — the one verb ```bash node <SKILL_DIR>/scripts/resolve.mjs --type <type> --intent "<description>" --project <dir> ``` Returns one line: `resolved <id> → <path> (<type>, <metadata>)`. All search noise stays on disk. | Type | One-line intent | | ------- | ----------------------------------------------------------------------------------- | | `bgm` | background music (HeyGen catalog, 10k+ tracks) | | `sfx` | sound effects (bundled 19-file library + catalog) | | `image` | photos, backgrounds (HeyGen asset search, 75k+ vectors) | | `icon` | icons, symbols (transparent) | | `logo` | official brand marks (svgl → simple-icons → GitHub avatar → favicon; never redrawn) | | `voice` | TTS voiceover (HeyGen free-usage path; optional local Kokoro) | | `grade` | measured correction candidate; broad polish/stylization follows Media Treatments | | `lut` | user-provided or explicitly chosen reusable validated `.cube` file | Before resolving fresh, list reusable candidates with `--candidates` and judge fit yourself — reuse rules, all flags, ingest (`--from`), and adopt are in `references/resolve.md`. ## Treat broad visual feedback as media intent When a user explicitly asks to fix, polish, stylize, obscure, emphasize, or reveal photographic media, read `references/media-treatments.md` even if they do not name color grading or an effect. Inspect the real `<img>`/`<video>`, choose one primary intent, then use deterministic persistence and verification. Use a matching recipe as an optional tested seed, or inspect `hyperframes media-treatment --capabilities --json`, then request one relevant family/effect with `--capability <id>` and assemble a custom treatment from canonical controls. Never load `--all` for ordinary authoring. A treatment may compose correction, a preset, finishing, compatible shader effects, supported keyframes, and optional Registry overlays. Add only source-justified bounded tuning and compatible parts, never effects merely to make the result look more sophisticated. Persist the final combined payload with `hyperframes media-treatment`. Use one progressively escalating workflow. For video, inspect one labeled early/middle/late contact sheet rather than reading frames separately. Apply one candidate and inspect one after-sheet for ordinary correction or polish. Escalate to individual frames or moving draft evidence only when the result is ambiguous, temporal, stylized, LUT-based, HDR/LOG-sensitive, private, or brand-critical. For ordinary correction or polish, persist the final treatment's preset/adjustment JSON. Do not generate a `.cube` LUT merely to encode exposure, shadows, contrast, or warmth. Use a LUT only when the user supplies one or the selected tre在 GitHub 阅读完整来源 (打开外部页面)