Agent skill

Minutes Video Review

Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review.

Install Minutes Video Review

skills CLI

$ npx skills add silverstein/minutes --skill minutes-video-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install silverstein/minutes minutes-video-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/minutes-video-review .claude/skills/minutes-video-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "minutes-video-review" agent skill from https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review into .claude/skills/minutes-video-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minutes-video-review", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add silverstein/minutes --skill minutes-video-review -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install silverstein/minutes minutes-video-review --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.opencode/skills/minutes-video-review .agents/skills/minutes-video-review && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "minutes-video-review" agent skill from https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review into .agents/skills/minutes-video-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minutes-video-review", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add silverstein/minutes --skill minutes-video-review -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install silverstein/minutes minutes-video-review --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.opencode/skills/minutes-video-review .cursor/skills/minutes-video-review && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "minutes-video-review" agent skill from https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review into .cursor/skills/minutes-video-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minutes-video-review", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/silverstein/minutes.git --path .opencode/skills/minutes-video-review

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add silverstein/minutes --skill minutes-video-review -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install silverstein/minutes minutes-video-review --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.opencode/skills/minutes-video-review .gemini/skills/minutes-video-review && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "minutes-video-review" agent skill from https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review into .gemini/skills/minutes-video-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minutes-video-review", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install silverstein/minutes minutes-video-review

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add silverstein/minutes --skill minutes-video-review -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .github/skills && cp -r skills-src/.opencode/skills/minutes-video-review .github/skills/minutes-video-review && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "minutes-video-review" agent skill from https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review into .github/skills/minutes-video-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minutes-video-review", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add silverstein/minutes --skill minutes-video-review -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install silverstein/minutes minutes-video-review --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.opencode/skills/minutes-video-review .opencode/skills/minutes-video-review && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "minutes-video-review" agent skill from https://github.com/silverstein/minutes/tree/main/.opencode/skills/minutes-video-review into .opencode/skills/minutes-video-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minutes-video-review", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: minutes-video-review
GitHub stars: 1.5k
Token cost: ~1.4k tokens
SKILL.md length: 635 words
Files: 4 (incl. scripts, references)
Skills in repo: 24
Repo updated: Oct 8, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review.

Works in 3 steps: Run the pipeline → Inspect the artifacts → Produce the real brief
The user wants a recorded demo
SKILL.md covers Skill Path, What this skill does, Primary command and How to use it, plus 5 more sections
Runs Python scripts from its folder; calls python3 and git; reaches go.screenpal.com and loom.com

What it does

Minutes Video Review is an agent skill from silverstein/minutes. Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Use when the user wants a recorded demo or bug clip turned into a durable brief with transcript, key frames, issues, and next steps.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/dependencies.md`, `references/output-schema.md` and `scripts/video_review.py`). Compatibility notes: opencode

It sits in Media & Creative, covering Transcription and QA and bug reports. The repository describes itself as: Open-source, local-first Granola/Otter alternative that Claude Code, Codex, Cursor, and any MCP client can query. Meetings, calls, and voice memos transcribed on-device into… The licence is MIT.

When your agent uses it

The user wants a recorded demo
Bug clip turned into a durable brief with transcript

Example prompts

“/minutes-video-review”

Requirements

Python 3
Compatibility (from SKILL.md): opencode

Workflow steps

3 steps, taken from the step headings in SKILL.md.

Run the pipeline
Inspect the artifacts
Produce the real brief

What it can do on your machine

Read from SKILL.md and the folder at commit d3285c7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
- git
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- go.screenpal.com
- loom.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
opencode
From compatibility in the SKILL.md frontmatter.

Context cost

Minutes Video Review loads about 1.4k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 635 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~67
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:58
```
--env-file /absolute/path/to/.env \
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from silverstein/minutes at commit d3285c7, republished under its MIT licence (© silverstein). 635 words, ~1,428 tokens.

Download SKILL.mdSave it as .claude/skills/minutes-video-review/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: minutes-video-review
description: Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Use when the user wants a recorded demo or bug clip turned into a durable brief with transcript, key frames, issues, and next steps.
compatibility: opencode

Skill Path

Before running helper scripts or opening bundled references, set:

bash

export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.opencode/skills"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-video-review"

/minutes-video-review

Analyze a product walkthrough, bug report video, Loom, ScreenPal, or local recording into a durable artifact bundle that agents can keep working from.

This skill is for meeting-adjacent product artifacts, not for generic "understand any video" requests. Use it when the user wants a recorded demo, bug repro, or walkthrough turned into something actionable for engineering, product, support, or follow-up agent work.

What this skill does

The bundled script handles the deterministic pipeline:

resolve a local file or hosted video URL
download hosted video when needed
extract audio with ffmpeg
transcribe with Minutes first, using the user's existing Minutes transcription setup
sample key frames with adaptive caps so long videos do not blow up context
write a durable artifact bundle under ~/.minutes/video-reviews/

Then you review the resulting artifacts and return the actual user-facing brief.

Primary command

Local file:

bash

python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
  "/absolute/path/to/video.mp4"

Hosted video:

bash

python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
  "https://go.screenpal.com/watch/..."

Useful options:

bash

python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
  "https://www.loom.com/share/..." \
  --focus "customer signup bug repro" \
  --cookies-from-browser chrome \
  --env-file /absolute/path/to/.env \
  --frame-step 15 \
  --max-frames 36 \
  --keep-temp

How to use it

Phase 1: Run the pipeline

Run the script on the provided local file or hosted video URL.

The script prints JSON with the output artifact paths. Important outputs include:

analysis_md
analysis_json
transcript_md
metadata_json
frames_dir
contact_sheet_artifact

Phase 2: Inspect the artifacts

Read the generated analysis.md and analysis.json first.

Then inspect:

transcript.md for the actual spoken content
selected images from frames/ when visual state matters
contact-sheet.jpg for a quick visual sweep across sampled frames
metadata.json for transcript method, duration, source kind, and frame sampling details

Phase 3: Produce the real brief

Return a concise, useful brief to the user that includes:

what the video is trying to show
likely bug / proposal / walkthrough intent
key moments or timestamps
likely impacted area or flow
the clearest next actions

Do not just echo the generated markdown blindly. Use the artifacts as evidence and produce a thoughtful agent answer.

Minutes-first transcription rules

This skill should prefer transcript backends in this order:

hosted captions / VTT when the source exposes them
minutes process with an isolated temporary config
local whisper CLI if available
OpenAI audio transcription only as a last resort when configured

Important:

the Minutes path should use the user's current Minutes transcription setup
if Minutes is configured for Whisper, use Whisper
if Minutes is configured for Parakeet, use Parakeet
do not silently fork a separate transcription stack unless the Minutes path is unavailable

When reporting the artifacts back to the user, preserve the transcript method exactly. Prefer labels like:

vtt_captions
minutes-whisper
minutes-parakeet
minutes-whisper-fallback
local_whisper_cli
openai_audio_transcription

Show full SKILL.md (224 more words)Show less

Context discipline

This skill must stay disciplined about context size.

Do not send the full video itself to the reasoning layer.
Do not dump a long transcript and dozens of frames into the final answer.
Treat the transcript as the backbone and frames as supporting evidence.
Prefer inspecting a curated subset of frames instead of every sampled image.

The bundled script already caps frames adaptively, but you should still exercise judgment when deciding what to read or mention.

Output contract

The script writes a durable bundle under:

bash

~/.minutes/video-reviews/<timestamp>-<slug>/

Expected files:

analysis.md
analysis.json
transcript.md
metadata.json
frames/

These artifacts are not part of the normal ~/meetings/ corpus by default.

Dependencies

See:

$MINUTES_SKILL_ROOT/references/dependencies.md
$MINUTES_SKILL_ROOT/references/output-schema.md

Gotchas

Hosted URLs need yt-dlp. Local file review still works without it.
Frame caps are intentional. The script samples enough evidence to review the video without turning this into a generic video-intelligence pipeline.
Minutes artifacts stay isolated. The script uses a temp config/output path for the Minutes transcription run so it does not pollute the user's normal archive.
Model-powered auto-analysis is optional. The generated analysis.md/json may be heuristic when no multimodal provider key is available. You still need to read the artifacts and produce the final answer.
Long videos need synthesis, not brute force. If the transcript is long, work from the generated artifacts and only open the most relevant frames and transcript sections.

Files

SKILL.md and 3 other files (scripts, references) in .opencode/skills/minutes-video-review of silverstein/minutes.

SKILL.md
references/dependencies.md
references/output-schema.md
scripts/video_review.py

Open the folder on GitHubat commit d3285c7

Compare with similar skills

Minutes Video Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Minutes Video Review compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Minutes Video Review this skillsilverstein/minutes	1.5k	—	~1.4k	Automated safety check: Notes	MIT	2 days ago
GitHub Issue Creatoraiskillstore/marketplace	433	3 repos	~1k	Automated safety check: Pass	None	yesterday
HyperFrames Media Useheygen-com/hyperframes	60k	—	~2.4k	Automated safety check: Pass	Apache-2.0	today
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image	2.6k	—	~2.4k	Automated safety check: Pass	MIT	today
Edu Chem Videowy51ai/edulab	1.4k	—	~2.1k	Automated safety check: Notes	Apache-2.0	yesterday
Transcription Memory ReconstructionNxcoreAI/EverRoom	3k	—	~714	Automated safety check: Pass	Custom licence	2 days ago

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Questions about Minutes Video Review

What does Minutes Video Review do?

Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Minutes Video Review is an agent skill from silverstein/minutes. Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review.

When should I use Minutes Video Review?

Minutes Video Review fits situations like: the user wants a recorded demo; bug clip turned into a durable brief with transcript.

How do I install Minutes Video Review in Claude Code?

Run `npx skills add silverstein/minutes --skill minutes-video-review -a claude-code`. Or copy the skill folder (.opencode/skills/minutes-video-review in silverstein/minutes) into .claude/skills/minutes-video-review in your project. Claude Code loads it when a task matches its description.

How do I install Minutes Video Review in Codex?

Run `npx skills add silverstein/minutes --skill minutes-video-review -a codex`. Or copy the skill folder (.opencode/skills/minutes-video-review in silverstein/minutes) into .agents/skills/minutes-video-review in your project. Codex loads it when a task matches its description.

Can I use Minutes Video Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add silverstein/minutes --skill minutes-video-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/minutes-video-review, .gemini/skills/minutes-video-review, .github/skills/minutes-video-review and .opencode/skills/minutes-video-review in your project.

What does Minutes Video Review need to run?

Going by SKILL.md and its folder, Minutes Video Review needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and git). Our summary lists: Python 3. Compatibility (from SKILL.md): opencode.

Does Minutes Video Review access the network?

SKILL.md names 2 domains. In commands or code: go.screenpal.com and loom.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Minutes Video Review safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Minutes Video Review use?

Minutes Video Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Minutes Video Review use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 740 tokens, read only when the agent opens those files.

What are the alternatives to Minutes Video Review?

Skills that share tags, products or a category with Minutes Video Review: GitHub Issue Creator (aiskillstore/marketplace, 433 stars), HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars) and Edu Chem Video (wy51ai/edulab, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Minutes Video Review?

silverstein (a GitHub user) maintains it in silverstein/minutes, which has 1,542 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 8, 2026.

Source: silverstein/minutes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Minutes Video Review

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Skill Path

/minutes-video-review

What this skill does

Primary command

How to use it

Phase 1: Run the pipeline

Phase 2: Inspect the artifacts

Phase 3: Produce the real brief

Minutes-first transcription rules

Context discipline

Output contract

Dependencies

Gotchas

Files

Compare with similar skills

Similar skills

More from silverstein/minutes

Related

Questions about Minutes Video Review