Agent skill

Timestamped Video Summary

by cnfjlhj in cnfjlhj/ai-collab-playbook

Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45).

No licenceAuto-check passedKnowledge Management

Install Timestamped Video Summary

skills CLI
$ npx skills add cnfjlhj/ai-collab-playbook --skill timestamped-video-summary -a claude-code

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

GitHub CLI
$ gh skill install cnfjlhj/ai-collab-playbook timestamped-video-summary --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/cnfjlhj/ai-collab-playbook.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/full/timestamped-video-summary .claude/skills/timestamped-video-summary && 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/

Facts

Skill name
timestamped-video-summary
GitHub stars
454
Token cost
~608 tokens
SKILL.md length
131 words
Files
4 (incl. scripts)
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45).

  • Works in 3 steps: 先把最终纪要写入 output.md → 运行校验:python3… → 生成 PDF:python3 scripts/render_pdf.py…
  • The user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结
  • SKILL.md covers Overview, Workflow Decision Tree, Input Assumptions and Output Spec (Strict), plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Timestamped Video Summary is an agent skill from cnfjlhj/ai-collab-playbook. Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45). Enforce strict per-segment structure (timestamp range + bold segment title + 2-paragraph body: first-person creator summary + expert 【导师评注】 critique with uncertainty handling). Use when the user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结, and optionally wants a clean PDF export (do NOT include the full raw transcript in the PDF unless explicitly requested).

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `agents/openai.yaml`, `scripts/render_pdf.py` and `scripts/validate_summary_md.py`).

It sits in Knowledge Management, covering Transcription, Video and podcast notes and PDF. The repository describes itself as: Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.

When your agent uses it

  • The user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结
  • Optionally wants a clean PDF export (do NOT include the full raw transcript in the PDF unless explicitly requested)

Example prompts

  • “/timestamped-video-summary”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 先把最终纪要写入 output.md
  2. 运行校验:python3 scripts/validate_summary_md.py output.md
  3. 生成 PDF:python3 scripts/render_pdf.py --input output.md --outdir .

What it can do on your machine

Read from SKILL.md and the folder at commit b3ee0d6. 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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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.

Context cost

Timestamped Video Summary loads about 608 tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~136
When it runs · the whole SKILL.md, loaded when a task matches
~608

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 passed

The automated check found no risky patterns in SKILL.md.

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 131 words (~608 tokens).

name
timestamped-video-summary

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts) in skills/full/timestamped-video-summary of cnfjlhj/ai-collab-playbook.

  • SKILL.md
  • agents/openai.yaml
  • scripts/render_pdf.py
  • scripts/validate_summary_md.py

Open the folder on GitHubat commit b3ee0d6

Compare with similar skills

Timestamped Video Summary 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.

Timestamped Video Summary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Timestamped Video Summary this skillcnfjlhj/ai-collab-playbook454—~608Automated safety check: PassNone
Video Transcriptsudecode/plate-playground-template241—~1.6kAutomated safety check: PassMIT
Video Lenskar2phi/video-lens113—~8.2kAutomated safety check: NotesMIT
Youtube Transcript Extractor API Skillbrowser-act/skills6.1k1 repos~1.2kAutomated safety check: PassMIT
Youtube Transcriptintellectronica/agent-skills2952 repos~394Automated safety check: PassCC0-1.0
Second Brain Transcriptundefined-ui/second-brain-os1k—~504Automated safety check: PassMIT

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Questions about Timestamped Video Summary

What does Timestamped Video Summary do?

Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45). Timestamped Video Summary is an agent skill from cnfjlhj/ai-collab-playbook., lines starting with 00:00 / 1:23:45).

When should I use Timestamped Video Summary?

Timestamped Video Summary fits situations like: the user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结; optionally wants a clean PDF export (do NOT include the full raw transcript in the PDF unless explicitly requested).

How do I install Timestamped Video Summary in Claude Code?

Run `npx skills add cnfjlhj/ai-collab-playbook --skill timestamped-video-summary -a claude-code`. Or copy the skill folder (skills/full/timestamped-video-summary in cnfjlhj/ai-collab-playbook) into .claude/skills/timestamped-video-summary in your project. Claude Code loads it when a task matches its description.

How do I install Timestamped Video Summary in Codex?

Run `npx skills add cnfjlhj/ai-collab-playbook --skill timestamped-video-summary -a codex`. Or copy the skill folder (skills/full/timestamped-video-summary in cnfjlhj/ai-collab-playbook) into .agents/skills/timestamped-video-summary in your project. Codex loads it when a task matches its description.

Can I use Timestamped Video Summary 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 cnfjlhj/ai-collab-playbook --skill timestamped-video-summary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/timestamped-video-summary, .gemini/skills/timestamped-video-summary, .github/skills/timestamped-video-summary and .opencode/skills/timestamped-video-summary in your project.

What does Timestamped Video Summary need to run?

Going by SKILL.md and its folder, Timestamped Video Summary needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Timestamped Video Summary access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Timestamped Video Summary safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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 Timestamped Video Summary use?

No licence was found for Timestamped Video Summary or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Timestamped Video Summary use?

About 608 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Timestamped Video Summary?

Skills that share tags, products or a category with Timestamped Video Summary: Video Transcripts (udecode/plate-playground-template, 241 stars), Video Lens (kar2phi/video-lens, 113 stars), Youtube Transcript Extractor API Skill (browser-act/skills, 6.1k stars) and Youtube Transcript (intellectronica/agent-skills, 295 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Timestamped Video Summary?

cnfjlhj (a GitHub user) maintains it in cnfjlhj/ai-collab-playbook, which has 454 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on September 14, 2026.

Source: cnfjlhj/ai-collab-playbook on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.