Agent skill

Meeting Copilot

by serejaris in serejaris/personal-corp-os

A skill your agent uses when preparing for, running, or closing a live meeting with an AI assistant dashboard.

MITAuto-check passed

Install Meeting Copilot

skills CLI
$ npx skills add serejaris/personal-corp-os --skill meeting-copilot -a claude-code

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

GitHub CLI
$ gh skill install serejaris/personal-corp-os meeting-copilot --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/serejaris/personal-corp-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/meeting-copilot .claude/skills/meeting-copilot && 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
meeting-copilot
GitHub stars
229
Token cost
~1.4k tokens
SKILL.md length
556 words
Files
4 (incl. assets)
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when preparing for, running, or closing a live meeting with an AI assistant dashboard.

  • Works in 6 steps: Save incoming transcript to… → Run python3 state/diff.py <… → Read state/delta.txt. → …
  • Closing a live meeting with an AI assistant dashboard
  • SKILL.md covers Modes, CREATE, UPDATE and Question Design, plus 4 more sections
  • Calls python3

What it does

Meeting Copilot is an agent skill from serejaris/personal-corp-os. Use when preparing for, running, or closing a live meeting with an AI assistant dashboard. Triggers on "meeting copilot", "live copilot", "prepare for a call", "update copilot", "close the session", or requests to turn transcript chunks into meeting questions, topic maps, decisions, and follow-ups.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including assets (for example `README.md` and `README.ru.md`).

The repository describes itself as: Personal Corp OS — управление личной компанией через AI-агентов: задачи вне головы, отделы вместо памяти, недельное ретро. Открытые скиллы для Claude Code и Codex. The licence is MIT.

When your agent uses it

  • Closing a live meeting with an AI assistant dashboard
  • Meeting copilot
  • Prepare for a call
  • Close the session

Example prompts

  • “meeting copilot”
  • “live copilot”
  • “prepare for a call”
  • “/meeting-copilot”

Requirements

  • Python 3

Workflow steps

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

  1. Save incoming transcript to state/transcript-new.txt.
  2. Run python3 state/diff.py < state/transcript-new.txt > state/delta.txt.
  3. Read state/delta.txt.
  4. Update only live tabs: questions.js, topics.js, decisions.js, followups.js.
  5. Move state/transcript-new.txt to state/transcript.txt.
  6. Tell the user what changed and ask them to refresh the dashboard.

What it can do on your machine

Read from SKILL.md and the folder at commit 95e36c3. 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

    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

Meeting Copilot loads about 1.4k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 556 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from serejaris/personal-corp-os at commit 95e36c3, republished under its MIT licence (© serejaris). 556 words, ~1,402 tokens.

Download SKILL.mdSave it as .claude/skills/meeting-copilot/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
meeting-copilot
description
Use when preparing for, running, or closing a live meeting with an AI assistant dashboard. Triggers on "meeting copilot", "live copilot", "prepare for a call", "update copilot", "close the session", or requests to turn transcript chunks into meeting questions, topic maps, decisions, and follow-ups.

Meeting Copilot

Create and maintain a local HTML dashboard for a live meeting. The dashboard gives the user a second-screen view of context, questions, topic progress, decisions, risks, and follow-ups while the call is happening.

This skill is designed for private workspaces. Do not publish raw transcripts, client names, personal notes, or generated meeting artifacts unless the user explicitly asks for a sanitized export.

Modes

Use one of three modes:

ModeWhenOutput
CREATEBefore the meetingA local dashboard app with prepared context and questions
UPDATEDuring the meetingUpdated questions, topics, decisions, risks, and follow-ups from transcript chunks
CLOSEAfter the meetingFinal summary, action items, CRM or notes updates, and optional sanitized export

CREATE

Inputs:

  • meeting title or contact name
  • meeting type, for example discovery, sales, mentoring, support, hiring, partnership
  • date
  • available context files, if any
  • output directory

Create this structure:

text
YYYY-MM-DD-meeting-copilot/
  app/
    index.html
    app.js
    components.js
    styles.css
    tabs/
      briefing.js
      questions.js
      topics.js
      decisions.js
      followups.js
  state/
    transcript.txt
    diff.py

Dashboard tabs:

  • briefing.js: meeting goal, known context, participants, constraints
  • questions.js: grouped live questions
  • topics.js: planned and discussed topics
  • decisions.js: decisions, risks, blockers, open loops
  • followups.js: action items, owners, due dates, next message draft

If the app uses ES modules, serve it over HTTP:

bash
cd YYYY-MM-DD-meeting-copilot/app
python3 -m http.server 8080

Then open http://127.0.0.1:8080.

UPDATE

Input is usually a full transcript copied from a transcription tool. Treat it as sensitive.

Use suffix diffing so the agent processes only the new part:

python
#!/usr/bin/env python3
import pathlib
import sys

baseline = pathlib.Path(__file__).parent / "transcript.txt"
old = baseline.read_text() if baseline.exists() else ""
new = sys.stdin.read()
old_s = old.strip()
new_s = new.strip()

if not old_s:
    sys.stdout.write(new)
elif new_s.startswith(old_s):
    sys.stdout.write(new_s[len(old_s):].lstrip())
else:
    sys.stderr.write("[diff] baseline mismatch; using full transcript\n")
    sys.stdout.write(new)

Recommended update flow:

  1. Save incoming transcript to state/transcript-new.txt.
  2. Run python3 state/diff.py < state/transcript-new.txt > state/delta.txt.
  3. Read state/delta.txt.
  4. Update only live tabs: questions.js, topics.js, decisions.js, followups.js.
  5. Move state/transcript-new.txt to state/transcript.txt.
  6. Tell the user what changed and ask them to refresh the dashboard.

Do not update long-term profile or history files during UPDATE unless the user asks. Keep the live loop fast.

Question Design

Group questions by topic. Avoid one long list.

Use 3 to 6 groups, with 3 to 6 questions per group:

js
function questionGroup(title, items) {
  if (!items.length) return "";
  return card(title, `<ul>${items.map((item) => `<li>${item}</li>`).join("")}</ul>`);
}

Good groups:

  • Check-in and goal
  • Business context
  • Budget, timeline, and constraints
  • Decision criteria
  • Risks and blockers
  • Next steps

Mark critical questions clearly, especially around money, deadlines, authority, legal constraints, and irreversible decisions.

Show full SKILL.md (221 more words)Show less

Topic Map

Track meeting flow as planned, discussed, skipped, or unresolved.

Use a compact visual language:

  • filled marker: discussed
  • hollow marker: planned but not reached
  • warning marker: blocked or risky
  • check marker: decided

If using a graph, include only topics, projects, concepts, decisions, and risks. Do not put private participant names into public exports.

CLOSE

At the end of the meeting:

  1. Process the final transcript chunk.
  2. Write a concise meeting summary.
  3. Extract decisions, action items, owners, deadlines, and open questions.
  4. Update the user's chosen system of record, for example CRM, project issue, notes folder, or ticket.
  5. Create a follow-up message draft.
  6. If requested, create a sanitized export with names, company data, private links, and raw transcript removed.

Close output template:

markdown
# Meeting Summary

## Outcome

## Decisions

## Action Items

| Item | Owner | Due | Status |
| --- | --- | --- | --- |

## Open Questions

## Follow-up Draft

Privacy Rules

Never put these in public artifacts:

  • raw transcript
  • private names, emails, handles, phone numbers
  • company secrets, pricing, revenue, pipeline data
  • private repository paths or URLs
  • authentication tokens, meeting links, calendar links
  • internal prompts, model names, or routing rules that expose private operations

For public examples, use placeholders:

  • Participant A
  • Company X
  • ~/workspace/crm
  • https://example.com/private-doc

Quality Bar

Before calling the work done:

  • dashboard opens locally
  • tabs render without console-breaking syntax errors
  • sensitive data is not present in public docs
  • close summary has decisions and action items separated
  • generated public export is clearly marked as sanitized

© serejaris, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (assets) in skills/meeting-copilot of serejaris/personal-corp-os.

  • SKILL.md
  • README.md
  • README.ru.md
  • assets/illustration.png

Open the folder on GitHubat commit 95e36c3

Compare with similar skills

Meeting Copilot 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.

Meeting Copilot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meeting Copilot this skillserejaris/personal-corp-os229—~1.4kAutomated safety check: PassMIT
Meetingsalirezarezvani/claude-skills28k—~1.5kAutomated safety check: PassMIT
Gws Workflow Meeting Prepgoogleworkspace/cli31k—~300Automated safety check: PassApache-2.0
Meeting Minutesgithub/awesome-copilot40k2 repos~2kAutomated safety check: PassMIT
Meeting Action ItemsNousResearch/hermes-agent252k—~950Automated safety check: PassMIT
Meeting Notesoutline/outline41k—~551Automated safety check: PassCustom licence

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Questions about Meeting Copilot

What does Meeting Copilot do?

A skill your agent uses when preparing for, running, or closing a live meeting with an AI assistant dashboard. Meeting Copilot is an agent skill from serejaris/personal-corp-os. Use when preparing for, running, or closing a live meeting with an AI assistant dashboard.

When should I use Meeting Copilot?

Meeting Copilot fits situations like: closing a live meeting with an AI assistant dashboard; meeting copilot; prepare for a call; close the session.

How do I install Meeting Copilot in Claude Code?

Run `npx skills add serejaris/personal-corp-os --skill meeting-copilot -a claude-code`. Or copy the skill folder (skills/meeting-copilot in serejaris/personal-corp-os) into .claude/skills/meeting-copilot in your project. Claude Code loads it when a task matches its description.

How do I install Meeting Copilot in Codex?

Run `npx skills add serejaris/personal-corp-os --skill meeting-copilot -a codex`. Or copy the skill folder (skills/meeting-copilot in serejaris/personal-corp-os) into .agents/skills/meeting-copilot in your project. Codex loads it when a task matches its description.

Can I use Meeting Copilot 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 serejaris/personal-corp-os --skill meeting-copilot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meeting-copilot, .gemini/skills/meeting-copilot, .github/skills/meeting-copilot and .opencode/skills/meeting-copilot in your project.

What does Meeting Copilot need to run?

Going by SKILL.md and its folder, Meeting Copilot needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Meeting Copilot 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 Meeting Copilot 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. Review the folder before installing.

What licence does Meeting Copilot use?

Meeting Copilot 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 Meeting Copilot use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Meeting Copilot?

Skills that share tags, products or a category with Meeting Copilot: Meetings (alirezarezvani/claude-skills, 28k stars), Gws Workflow Meeting Prep (googleworkspace/cli, 31k stars), Meeting Minutes (github/awesome-copilot, 40k stars) and Meeting Action Items (NousResearch/hermes-agent, 252k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meeting Copilot?

serejaris (a GitHub user) maintains it in serejaris/personal-corp-os, which has 229 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 7, 2026.

Source: serejaris/personal-corp-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.