How do I install the Vidseeds Local Video skill?

Run npx skillmds@latest add carrotgamesstudios/vidseeds-local-video in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Vidseeds Local Video safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Vidseeds Local Video?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Vidseeds Local Video free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Vidseeds Local Video?

CarrotGamesStudios (@carrotgamesstudios) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Vidseeds Local Video by carrotgamesstudios

Name: Vidseeds Local Video
Rating: 4.5 (4 reviews)
Author: CarrotGamesStudios

Vidseeds Local Video

Use when the user's video is on disk - VidSeeds MCP probe, frame/clip extraction, ffmpeg recipes, precision trim, and midroll analysis. Hosted tools return commands/recipes to run locally; media stays on the user's machine.

File contents

Local video media (MCP)

VidSeeds.ai follows client-first media: the hosted MCP server does not read files from the user's computer. Tools return recipes (ffmpeg/ffprobe commands) or accept base64 frames the agent extracted locally.

Probe a file

vidseeds_probe_local_video - duration, resolution, codecs; use before trim or thumbnail frame picks.

Frames and clips

Goal	Tool
Still frames for thumbnails	`vidseeds_extract_video_frames`
Short clip for context	`vidseeds_extract_video_clip`
Generic transcode recipe	`vidseeds_transcode_format_recipe`
Media helper commands	`vidseeds_get_local_media_recipe`

Run returned shell commands on the user's machine (requires ffmpeg/ffprobe installed). Pass results back into thumbnail tools as frames on vidseeds_generate_thumbnail when needed.

Precision trim

vidseeds_analyze_precision_trim - suggested cut points, segment catalog, seed cost preview.
vidseeds_plan_precision_trim - AI edit plan (CritiquePlan) with genre-aware processing.
vidseeds_execute_precision_trim - export recipe/commands for local ffmpeg.

V3 Genre-Aware Processing (2026-06-27)

Precision Trim V3 adds genre classification + soundscape analysis + motion profile + hook detection + semantic boundaries as parallel client-side signals. These are passed as optional metadata in vidseeds_analyze_precision_trim / vidseeds_plan_precision_trim inputs:

detectedGenre - overrides automatic genre detection (speech_driven, action_dynamic, ambient_relax, visual_primary, mixed_narrative, tutorial)
soundscape - spectral classification from PCM (silence/speech/music/ambient/noise)
motionProfile - frame-by-frame pixel diff analysis (static/slow/action/scene_change)

How it affects plans:

ambient_relax: high silence tolerance (15s+), preserves zero-word scenes, < 20% cut ratio
action_dynamic: aggressive pause trimming (500ms+), up to 40% cut ratio
speech_driven: cut at semantic boundaries, moderate trimming
visual_primary: preserves scenes without speech, cut only on true silence
mixed_narrative: uses all signals - only cuts when multiple agree
tutorial: precision trimming, no speed around instructions

Midroll placement

vidseeds_analyze_midroll_opportunities - suggested mid-roll times from transcript/context (analysis only; user edits in their editor).

Thumbnails from local file

Prefer the vidseeds-local stdio MCP tool vidseeds_generate_thumbnail_from_video when the whole pipeline should run on-disk (see vidseeds-thumbnails).

YouTube-hosted source (not local path)

vidseeds_get_youtube_video_transcript, vidseeds_get_youtube_video_captions - text from YouTube without downloading video to the server.

Do not

Expect hosted tools to accept arbitrary filesystem paths for upload/processing.
Re-run probe/extract in a loop - cache probe results for the session.

---name: vidseeds-local-videodescription: Use when the user's video is on disk - VidSeeds MCP probe, frame/clip extraction, ffmpeg recipes, precision trim, and midroll analysis. Hosted tools return commands/recipes to run locally; media stays on the user's machine.license: MIT---# Local video media (MCP)VidSeeds.ai follows **client-first** media: the hosted MCP server does not read files from the user's computer. Tools return **recipes** (ffmpeg/ffprobe commands) or accept **base64 frames** the agent extracted locally.## Probe a file- `vidseeds_probe_local_video` - duration, resolution, codecs; use before trim or thumbnail frame picks.## Frames and clips| Goal | Tool || --------------------------- | ---------------------------------- || Still frames for thumbnails | `vidseeds_extract_video_frames` || Short clip for context | `vidseeds_extract_video_clip` || Generic transcode recipe | `vidseeds_transcode_format_recipe` || Media helper commands | `vidseeds_get_local_media_recipe` |Run returned shell commands on the **user's machine** (requires ffmpeg/ffprobe installed). Pass results back into thumbnail tools as `frames` on `vidseeds_generate_thumbnail` when needed.## Precision trim1. `vidseeds_analyze_precision_trim` - suggested cut points, segment catalog, seed cost preview.2. `vidseeds_plan_precision_trim` - AI edit plan (CritiquePlan) with genre-aware processing.3. `vidseeds_execute_precision_trim` - export recipe/commands for local ffmpeg.### V3 Genre-Aware Processing (2026-06-27)Precision Trim V3 adds **genre classification** + **soundscape analysis** + **motion profile** + **hook detection** + **semantic boundaries** as parallel client-side signals. These are passed as optional metadata in `vidseeds_analyze_precision_trim` / `vidseeds_plan_precision_trim` inputs:- `detectedGenre` - overrides automatic genre detection (speech_driven, action_dynamic, ambient_relax, visual_primary, mixed_narrative, tutorial)- `soundscape` - spectral classification from PCM (silence/speech/music/ambient/noise)- `motionProfile` - frame-by-frame pixel diff analysis (static/slow/action/scene_change)**How it affects plans:**- **ambient_relax**: high silence tolerance (15s+), preserves zero-word scenes, < 20% cut ratio- **action_dynamic**: aggressive pause trimming (500ms+), up to 40% cut ratio- **speech_driven**: cut at semantic boundaries, moderate trimming- **visual_primary**: preserves scenes without speech, cut only on true silence- **mixed_narrative**: uses all signals - only cuts when multiple agree- **tutorial**: precision trimming, no speed around instructions## Midroll placement- `vidseeds_analyze_midroll_opportunities` - suggested mid-roll times from transcript/context (analysis only; user edits in their editor).## Thumbnails from local filePrefer the **vidseeds-local** stdio MCP tool `vidseeds_generate_thumbnail_from_video` when the whole pipeline should run on-disk (see `vidseeds-thumbnails`).## YouTube-hosted source (not local path)- `vidseeds_get_youtube_video_transcript`, `vidseeds_get_youtube_video_captions` - text from YouTube without downloading video to the server.## Do not- Expect hosted tools to accept arbitrary filesystem paths for upload/processing.- Re-run probe/extract in a loop - cache probe results for the session.

Frequently asked questions