Snapshot before the quality program (relevance gates, tiered mapping, QA linter). v1 is the immutable before/after reference; evidence crawl was at ~175/3039 occupations when tagged. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
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External AI agent skills — sound-operator
Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.
Matched deterministically (ISCO group + title/competence keywords) by
pipeline/p5_enrich_ai_skills.py on 2026-07-07.
Source: anthropics/skills
- Repository: https://github.com/anthropics/skills (commit
9d2f1ae, retrieved 2026-07-07) - License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | What it adds | Upstream |
|---|---|---|
docx |
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | source |
pdf |
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | source |
Source: realkimbarrett/advertising-skills
- Repository: https://github.com/realkimbarrett/advertising-skills (commit
45f4a4a, retrieved 2026-07-07) - License: no explicit license — referenced by link only
| Skill | What it adds | Upstream |
|---|---|---|
scroll-stopping-creative |
Create ad concepts that stop attention in the first 3 seconds. Trigger on "ad creative", "thumbstopper", "video ideas". | source |
Source: ConardLi/garden-skills
- Repository: https://github.com/ConardLi/garden-skills (commit
fbd6453, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
web-video-presentation |
把一篇文章或口播稿,做成"看起来像视频"的点击驱动 16:9 网页演示,可选合成口播音频。流程:原始文章 → 一次产出口播稿 + outline 开发计划 → 用户一次对齐 5 件事(稿子 / outline / 主题 / 素材 / 开发模式)→ 网页开发(逐章 / 顺序 / 并行)→ 可选音频合成(provider-agnostic:内置 MiniMax mmx-cli + OpenAI TTS,可换 ElevenLabs / edge-tts / … | source |
Source: google/skills
- Repository: https://github.com/google/skills (commit
b15f327, retrieved 2026-07-07) - License: Apache-2.0
| Skill | What it adds | Upstream |
|---|---|---|
ima-sdk-basics |
Use this skill for Interactive Media Ads (IMA) SDK client-side ad insertion when you are requesting video ads client-side into websites, apps, TVs or other platforms with VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or … | source |
Source: coreyhaines31/marketingskills
- Repository: https://github.com/coreyhaines31/marketingskills (commit
33218ff, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
video |
When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' … | source |
Source: NVIDIA/skills
- Repository: https://github.com/NVIDIA/skills (commit
153b14b, retrieved 2026-07-07) - License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | What it adds | Upstream |
|---|---|---|
amc-run-video-calibration |
Calibrate a new dataset from pre-recorded video files via the AutoMagicCalib REST API. Use when user has local MP4s and says 'calibrate my videos', 'run AMC on these videos', or similar. | source |
deepstream-dev |
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | source |
deepstream-generate-pipeline |
Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on … | source |
nemo-retriever |
Use when the user wants to search, query, extract, transcribe, describe, quote, filter, or aggregate across documents — PDFs, scanned forms / images (.jpg .png .tiff), Office (.docx .pptx), text (.html .txt), audio (.mp3 … |
source |
nemotron-speech |
Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted. | source |
physical-ai-video-data-augmentation |
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto … | source |
tao-finetune-cosmos-embed |
Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", … | source |
tao-finetune-cosmos-reason |
Cosmos3-Nano video QA supervised fine-tuning with FSDP parallelism. Use when training or evaluating video question-answering models, fine-tuning Cosmos3-Nano or compatible Cosmos Reason models with SFT/LoRA, or working with Cosmos-RL. … | source |
tao-generate-video-reasoning-annotations |
Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use … | source |
tao-train-action-recognition |
Action recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for classifying temporal actions in video clips. Use when training, evaluating, exporting, or running inference on a TAO … | source |
vss-ask-video |
Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions. | source |
vss-deploy-dense-captioning |
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion. | source |
vss-deploy-detection-tracking-3d |
Deploy and operate the RTVI-CV-3D microservice as MV3DT (MODE=mv3dt): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video files, and RTSP streams, and chains to … |
source |
vss-deploy-video-embedding |
Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the /v1 REST API (file uploads, text and video embeddings, live … |
source |
vss-generate-video-calibration |
Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | source |
vss-generate-video-report |
Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | source |
vss-manage-video-io-storage |
Use to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). Not for VLM inference or search. | source |
vss-query-analytics |
Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | source |
vss-search-archive |
Use this skill to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. Do NOT use for ad-hoc visual Q&A (use vss-ask-video), live captioning (use vss-deploy-dense-captioning), or video … | source |
vss-setup-video-analytics-api |
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | source |
vss-summarize-video |
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning. | source |
Source: phuryn/pm-skills
- Repository: https://github.com/phuryn/pm-skills (commit
18468a9, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
brainstorm-experiments-new |
Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating … | source |
Source: deanpeters/Product-Manager-Skills
- Repository: https://github.com/deanpeters/Product-Manager-Skills (commit
99be43c, retrieved 2026-07-07) - License: CC BY-NC-SA 4.0 (referenced by link, nothing copied)
| Skill | What it adds | Upstream |
|---|---|---|
stakeholder-mapping |
Prioritize stakeholders using two complementary grids. Use when setting engagement strategy and surfacing whose voice needs elevating after stakeholder identification. | source |
Source: veniceai/skills
- Repository: https://github.com/veniceai/skills (commit
de089fa, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
venice-audio-music |
Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and … | source |
venice-audio-speech |
Generate speech from text via POST /audio/speech. Covers TTS models (Kokoro, Qwen 3, xAI, Inworld, Chatterbox, Orpheus, ElevenLabs Turbo, MiniMax, Gemini Flash), voices per family, output formats (mp3/opus/aac/flac/wav/pcm), streaming, … | source |
venice-audio-transcription |
Transcribe audio files to text via POST /audio/transcriptions. Covers supported models (Parakeet, Whisper, Wizper, Scribe, xAI STT), supported formats (wav/flac/m4a/aac/mp4/mp3/ogg/webm), response formats (json/text), timestamps, and … | source |
venice-chat |
Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimodal inputs (images/audio/video), tool calls, reasoning … | source |
venice-video |
Generate and transcribe videos via Venice. Covers the async /video/quote + /video/queue + /video/retrieve + /video/complete loop, text-to-video, image-to-video, video-to-video (upscale), audio input, reference images, scene and element … | source |