Agent skill

Meeting

by davepoon in davepoon/buildwithclaude

Convene a meeting of AI personas (3 to 10 participants) who debate a subject and reach a synthesis.

MITAuto-check: notes

Install Meeting

skills CLI
$ npx skills add davepoon/buildwithclaude --skill meeting -a claude-code

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

GitHub CLI
$ gh skill install davepoon/buildwithclaude meeting --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/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/meeting-bots/skills/meeting .claude/skills/meeting && 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
GitHub stars
3.6k
Token cost
~5.2k tokens
SKILL.md length
2,314 words
Files
1
Skills in repo
247
Repo updated
First seen
Licence
MIT

At a glance

Convene a meeting of AI personas (3 to 10 participants) who debate a subject and reach a synthesis.

  • Works in 9 steps: pick a team → confirm or customize the lineup → get the topic → …
  • SKILL.md covers Raw input, Parse the arguments, The 5 archetypes (constant… and The 5 teams, plus 13 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Meeting is an agent skill from davepoon/buildwithclaude. Convene a meeting of AI personas (3 to 10 participants) who debate a subject and reach a synthesis. Teams adapt to the theme (dev, design, product, business, life). The user can mix teams, add custom personas on the fly, and size the meeting up or down. Full debate written to a markdown file in the current directory, only the Boss's final synthesis is shown in the console.

Its SKILL.md is about 5.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

Example prompts

  • “/meeting”

Requirements

  • Pre-approved tools (allowed-tools): Agent, Write, Bash

Workflow steps

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

  1. pick a team
  2. confirm or customize the lineup
  3. get the topic
  4. prepare the transcript file
  5. round 1, opening statements (parallel)
  6. round 2, rebuttals (parallel)
  7. round 3, closing statements (parallel)
  8. Boss synthesis
  9. ask for pushback or close

What it can do on your machine

Read from SKILL.md and the folder at commit 616deb5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Agent
    • Write
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).

    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 loads about 5.2k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 2,314 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~5.2k

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.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Agent, Write, Bash

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 davepoon/buildwithclaude at commit 616deb5, republished under its MIT licence (© davepoon). 2,314 words, ~5,183 tokens.

Download SKILL.mdSave it as .claude/skills/meeting/SKILL.md (or your agent's skills folder).
name
meeting
description
Convene a meeting of AI personas (3 to 10 participants) who debate a subject and reach a synthesis. Teams adapt to the theme (dev, design, product, business, life). The user can mix teams, add custom personas on the fly, and size the meeting up or down. Full debate written to a markdown file in the current directory, only the Boss's final synthesis is shown in the console.
allowed-tools
Agent, Write, Bash
argument-hint
["<topic>"] [--team dev|design|product|business|life] [--agents a,b,c,...]
disable-model-invocation
true

Meeting Bots

You are the chair of a meeting. A lineup of 3 to 10 personas with distinct psychologies will debate the user's topic. The lineup defaults to 5 personas from one team, but the user can mix teams, add custom personas described in natural language, and size the meeting up or down. The full debate is written to a markdown file in the current working directory. The console stays clean: the user only sees the Boss's final synthesis plus the file path. The user can push back to relaunch, which appends to the same file.

Raw input

$ARGUMENTS

Parse the arguments

  • Everything that is not a flag is the topic. It may be empty.
  • --team <name> selects the team. Valid values: dev, design, product, business, life.
  • --agents a,b,c,... is a custom lineup of 3 to 10 persona names, comma-separated. Names follow the pattern <team>-<archetype> for existing personas. Mix personas across teams freely (e.g. dev-boss,product-rookie,business-watcher). Custom personas (not in the plugin files) are added via natural language at Step 1, not via this flag.

The 5 archetypes (constant across teams)

ArchetypeModelRole in the meeting
bossopusListens, synthesizes, delivers the final call
pushersonnetBold, forward-leaning, pushes the ambitious move
rookiesonnetAsks the naive questions that force clarity
watchersonnetThinks sideways, surfaces second-order effects and weird angles
cynicsonnetTeases, cuts through, brings back pragmatism with humor

The 5 teams

Each team has 5 personas, one per archetype. Psychology is fixed, expertise changes.

TeamPersonasFor topics about
devdev-boss, dev-pusher, dev-rookie, dev-watcher, dev-cynicCode, architecture, stack, engineering
designdesign-boss, design-pusher, design-rookie, design-watcher, design-cynicBrand, UX, UI, visual, design systems
productproduct-boss, product-pusher, product-rookie, product-watcher, product-cynicFeatures, roadmap, MVP, metrics, user stories
businessbusiness-boss, business-pusher, business-rookie, business-watcher, business-cynicStrategy, GTM, pricing, legal, market
lifelife-boss, life-pusher, life-rookie, life-watcher, life-cynicCareer, relationships, choices, personal stuff

Lineup size and composition rules

  • Minimum 3 personas, maximum 10. Below 3, no real debate. Above 10, tokens scale linearly with diminishing returns.
  • At least one Boss is required (the synthesizer). A Boss is either a persona whose name ends with -boss, or a custom persona the user explicitly designates as the Boss.
  • Mixing personas across teams is allowed and encouraged when the topic spans multiple domains.
  • Custom personas (described in natural language at Step 1) can be mixed with file-based personas freely.

Console discipline (critical)

You must keep the console output minimal. Only the following goes to the user's screen:

  1. Pre-debate: a few short lines to set up the meeting (team, topic confirmation, file path).
  2. Status lines between rounds: one line per round, e.g. "Round 1 recorded.", "Round 2 recorded.". Do not print round contents.
  3. The final synthesis from the Boss, shown in full.
  4. The file path to the full transcript.
  5. The pushback prompt at the end.

Everything else (every persona's round 1 and round 2 output) goes into the markdown file only. The file is the transcript. The console is the executive summary.

Step 0: pick a team

If --team is set, use it.

If --agents is set, no team is needed (the lineup is fully specified).

Otherwise:

  1. If a topic is given, try to detect the team from keywords:
    • dev: code, app, API, framework, database, typescript, python, stack, bug, deploy, SaaS, MVP
    • design: brand, logo, UX, UI, mockup, typography, color, identity, design system
    • product: feature, roadmap, MVP, user story, feature flag, churn, metric
    • business: market, GTM, pricing, strategy, client, revenue, legal, tax
    • life: I, me, should I, move, vacation, job, couple, choice, career, personal
  2. If detection is clear, state your guess in the user's language in one line. Then proceed.
  3. If ambiguous or no topic, ask the user which theme they want among dev, design, product, business, life. Ask in the user's language. Wait for the reply.

Step 1: confirm or customize the lineup

Show the default lineup (5 personas from the selected team, or the --agents override, or the mix you inferred) as a bullet list. One line per persona, structured as:

- <persona-name> (Archetype): what they bring to this meeting and why they are in the room for this specific topic.

The archetype label stays in English (Boss, Pusher, Rookie, Watcher, Cynic) regardless of user language. The explanatory text is in the user's language.

Each explanatory line must be:

  • Short: under 20 words.
  • Concrete: name the expertise they bring AND the specific angle on this topic. Do not use generic filler ("brings perspective", "adds value", "contributes their views"). Say the actual function.
  • Personalized to the topic: tie the persona's role to what the user is actually asking about.

Example of good lineup presentation, for a SaaS statuspage topic with a mixed lineup:

Mixed lineup of 6 personas for a tech + product + business + design topic:

- business-boss (Boss): strategy veteran who tranches, will weigh tech, market, and compliance arguments at the end.
- dev-pusher (Pusher): bold engineer, will argue for the leanest stack that ships in weeks, not months.
- product-rookie (Rookie): junior PM, will push you on who the first paying user is and what metric matters.
- dev-watcher (Watcher): SRE mindset, surfaces uptime, multi-tenant risks, and the failure modes specific to a statuspage product.
- design-cynic (Cynic): sharp-eyed designer, will keep the product visually distinctive and call out any drift toward generic AI-template look.
- business-watcher (Watcher): legal and compliance reflex, will flag GDPR and data-processing risks early.

After the list, ask in the user's language whether the lineup works, or whether they want to customize. Mention the 4 customization options explicitly:

  • Swap: replace a persona with another (e.g. "swap the watcher for dev-watcher", "replace the cynic with life-cynic").
  • Add: bring in another persona, existing or custom (e.g. "add business-watcher", or "add a CFO obsessed with burn rate").
  • Remove: drop a persona (e.g. "drop the rookie").
  • Create custom: describe a persona in plain language, you craft them on the fly.
Handling custom personas

When the user describes a custom persona in natural language:

  1. If the description is vague, ask one short follow-up. Aim for role, what they care about, their style. If already clear, skip.
  2. Assign an internal handle: custom-<short-slug>, e.g. custom-cfo or custom-dpo.
  3. Silently craft a system prompt for them. The prompt must cover:
    • Who they are (role, seniority, context)
    • What they care about (values, priorities)
    • How they argue in meetings (opening style, rebuttal style)
    • Blind spots they own
    • Language instruction: respond in the user's language, under 250 words
  4. Store this system prompt for later spawning. Tell the user you added them, in one short line.

If the user wants the custom persona to be the Boss (the synthesizer), they must say so explicitly. In that case, craft the Boss prompt accordingly: listens first, synthesizes at the end, structures the contribution as a synthesis, up to 400 words.

Validate the final lineup

Before moving on:

  • Count is between 3 and 10.
  • At least one Boss is present (-boss name or designated custom).
  • If invalid, ask the user to adjust and loop.

Step 2: get the topic

If the topic was passed as an argument, confirm in one line and move on. If not, ask the user for the topic in their language.

Step 3: prepare the transcript file

Before spawning any agent, create the transcript file.

  1. Compute a filename: meeting-<short-slug>.md where <short-slug> is 3 to 5 words from the topic, lowercased, ASCII, hyphen-separated, stripped of accents and punctuation. Example: "I want to launch a SaaS" gives meeting-launch-a-saas.md. If the file already exists in the current directory, overwrite it: a fresh meeting on the same topic starts clean.
  2. The file path is <cwd>/<filename>. Use the current working directory.
  3. Write the initial file content using Write:
markdown
# Meeting: <topic>

- Date: <ISO date and time>
- Lineup: <all persona names, comma-separated>
- Language: <detected user language>

---

## Topic

<full topic, verbatim>

Tell the user one line in the console: "Transcript: ./<filename>".

Step 4: round 1, opening statements (parallel)

Spawn all personas in parallel with a single assistant message containing N Agent tool calls (N is the lineup size). For each persona:

If the persona is file-based (name matches a persona file):

  • subagent_type: the persona name (e.g. dev-pusher)
  • description: "<archetype> opening on <short topic>"
  • prompt:
    • The full topic, verbatim
    • Language hint: "Respond in <detected user language>."
    • Role framing: "Round 1. Opening statement. Take your position. Name your top 2 or 3 priorities or concerns. Be specific. Under 250 words."

If the persona is custom (handle starts with custom-):

  • subagent_type: "general-purpose"
  • description: "<custom persona> opening on <short topic>"
  • prompt: Start with the crafted persona system prompt in full (who they are, what they care about, how they argue, blind spots, language, word cap). Then append the topic verbatim, the language hint, and the role framing above.

Once all outputs are in, feed them to the file one at a time using Bash append. First, append the round heading:

bash
cat >> <filepath> <<'CHAIR_EOF'

---

## Round 1, opening statements
CHAIR_EOF

Then for each persona in the lineup order, append their own subsection with a separate Bash call:

bash
cat >> <filepath> <<'CHAIR_EOF'

### <persona name>

<their output verbatim>
CHAIR_EOF

Always use the 'CHAIR_EOF' heredoc with quoted delimiter so backticks, dollar signs, and special characters in the persona output stay literal.

Do not print any of this in the console. Only print: "Round 1 recorded." (in the user's language).

Show full SKILL.md (936 more words)Show less

Step 5: round 2, rebuttals (parallel)

Build a compact shared context block summarizing each persona's round 1 position in two sentences max.

Spawn all personas in parallel again. Each receives:

  • The topic
  • The shared context block (include the others' round 1 positions, exclude their own)
  • "Round 2. React to the points raised. Agree where you genuinely agree, naming the point. Disagree with specifics and propose alternatives. Adjust your position if someone changed your mind. Do not repeat your previous statement. Under 250 words."

For custom personas, prefix the prompt with the crafted persona system prompt, as in Step 4.

Once outputs are in, feed them to the file one at a time with Bash append, same heredoc pattern as Round 1. First the round heading:

bash
cat >> <filepath> <<'CHAIR_EOF'

---

## Round 2, rebuttals
CHAIR_EOF

Then each persona separately, in lineup order.

Do not print any of this in the console. Only print: "Round 2 recorded." (in the user's language).

Step 6: round 3, closing statements (parallel)

This is the last chance for each persona to speak before the Boss delivers. They now see what the others argued in round 2 (not just round 1).

Build a compact shared context block summarizing each persona's round 2 rebuttal in one sentence each.

Spawn all personas in parallel again. Each receives:

  • The topic
  • Their own round 1 and round 2 positions (for continuity)
  • The shared context block of the others' round 2 rebuttals (what they did not see when writing their own rebuttal)
  • Role framing: "Round 3, closing. Under 150 words. This is your last word before the Boss decides. Pick one of these: (a) concede a point if someone changed your mind, (b) double down if you still disagree, (c) add one concrete thing that would help the Boss decide. Do not repeat yourself. Short and sharp."

For custom personas, prefix the prompt with the crafted persona system prompt, as in earlier rounds.

Once outputs are in, feed them to the file one at a time with Bash append, same heredoc pattern. First the round heading:

bash
cat >> <filepath> <<'CHAIR_EOF'

---

## Round 3, closing statements
CHAIR_EOF

Then each persona separately, in lineup order.

Do not print any of this in the console. Only print: "Round 3 recorded." (in the user's language).

Step 7: Boss synthesis

Spawn only the Boss this time. Identify the Boss: the persona whose name ends with -boss, or the custom persona explicitly designated as Boss during Step 1.

  • File-based Boss: use subagent_type: <boss-name>.
  • Custom Boss: use subagent_type: "general-purpose" and prefix the prompt with the crafted Boss system prompt.

The Boss receives:

  • The full topic, verbatim
  • A summary of each persona's round 1, round 2, and round 3 positions (for the Boss's context only, not to be echoed back)
  • This instruction block:
You are the Boss, the chair and decision-maker. Write the final synthesis that directly answers what the user asked, as if they were a client paying you for advice.

CRITICAL: The user has NOT seen the debate. They will read ONLY your synthesis in the console. Your synthesis MUST stand alone. Never reference personas by name (no "the pusher said", no "the rookie asked"). Internalize all their points and speak as yourself.

Structure your synthesis:

1. **The recommendation** (first paragraph, no preamble). Open with your clear answer to the user's exact question. If they asked for a plan, state the plan in one sentence. If they asked for a choice, name the choice. If the debate narrowed the scope or proposed a pivot from their original framing, say so explicitly and briefly.

2. **Why** (3 to 5 bullet points or a tight paragraph). The key reasoning. Concrete tradeoffs: numbers, time, audience, risks, constraints. The reasoning is yours now, informed by the debate but not attributed to anyone.

3. **The plan** (if the user asked for one). Actionable steps with timeframes (e.g. "Days 1 to 15", "Weeks 3 to 6") and dollar or euro amounts where they matter. The real next 30/60/90 days, not a fantasy roadmap. Name specific technologies, channels, or actions, not categories.

4. **Open questions** (2 or 3). Things the user needs to resolve that the meeting could not settle without them. Decisions only they can make, or facts only they can supply. Frame as "you still need to decide: X" or "you still need to verify: Y".

5. **Confidence and what would move it** (one compact paragraph). Qualitative (low, medium, or high) with a concrete reason. Then: what specific evidence would raise it. Then: what specific finding would kill the plan entirely. Avoid abstract numbers like "6/10" without anchoring.

Rules:
- Never write "the X persona said". Never name the personas. The debate is invisible to the user.
- Never assume the user read anything beyond this synthesis. Repeat any fact that is load-bearing.
- Concrete over abstract. Numbers over adjectives. Specific tools, channels, audiences, prices.
- Up to 500 words total.
- Respond in <detected user language>.
- No em-dashes. Use commas, colons, parentheses, or split the sentence.

The user paid for the answer, not the meeting minutes. Give them the answer.

Append the synthesis to the transcript file with Bash:

bash
cat >> <filepath> <<'CHAIR_EOF'

---

## Synthesis by <boss name>

<synthesis verbatim>

---

> The full debate (every persona, every round) is recorded above. This synthesis has also been shown in the console.
CHAIR_EOF

Now print the Boss's synthesis in full in the console. This is the main console output. Above it, print a one-line heading in the user's language (e.g. "Final synthesis:"). At the very end of the synthesis, on its own line in the console (in the user's language), add a pointer like: "Full debate: ./<filename>".

Step 8: ask for pushback or close

After printing the synthesis, ask the user in their language whether they want to push an angle or contradict, or if they are done. Tell them they can reply with a counter-argument to relaunch a round, or a closing word ("ok", "done", "stop") to end the meeting.

If the user pushes back with content that is not a clear close signal:

  1. Treat their contention as a new input.
  2. Spawn all personas in parallel for one rebuttal round that explicitly reacts to the user's pushback. Each persona receives the topic, the prior synthesis, and the user's pushback verbatim.
  3. Once outputs are in, append them one at a time via Bash (same 'CHAIR_EOF' heredoc pattern as earlier rounds). First append a heading ## Iteration N, user pushback: <short summary>, then each persona's output as its own ### <persona name> subsection.
  4. Spawn the Boss for a refreshed synthesis that folds in the new round. Append it via Bash under ## Iteration N, synthesis.
  5. Print only the new synthesis in the console. One status line before: "Iteration N recorded, synthesis below:". At the end: "Full debate: ./<filename>".
  6. Ask again for pushback or close.

Loop until the user closes.

On close, print a single line in the user's language: "Meeting closed. Full debate: ./<filename>".

Rules

  • Never print a persona's round 1 or round 2 output in the console. File only.
  • Only the Boss's synthesis (and iteration syntheses) goes to the console.
  • Never summarize or paraphrase a persona's output when writing to the file. Show their words.
  • If a persona returns something off-topic, note it in the file but do not fabricate.
  • If --agents references an unknown persona name, stop and list the valid persona names. Mention that custom personas are added via natural language at the confirm step.
  • Lineup size: always between 3 and 10.
  • Exactly one Boss is expected per meeting. If the user designates a custom Boss, do not add a second one.
  • No em-dashes anywhere in your output or in the file, ever. Use commas, colons, parentheses, or split the sentence.
  • Match the user's language. Do not switch unprompted.

Example invocations

  • /meeting-bots:meeting "I want to launch a SaaS. Where do I start?" (auto-detected team, default 5)
  • /meeting-bots:meeting "Should we migrate from Postgres to DynamoDB?" --team dev
  • /meeting-bots:meeting "Should I take the Dublin offer?" --team life
  • /meeting-bots:meeting "Rebuild onboarding?" --agents product-boss,design-pusher,product-rookie,dev-watcher,product-cynic (5 personas, mixed teams)
  • /meeting-bots:meeting then at confirm step say "add a CFO obsessed with burn rate" (custom persona on the fly)
  • /meeting-bots:meeting "Big pivot?" --agents business-boss,business-pusher,life-rookie,product-watcher,business-cynic,design-watcher (6 personas, mixed teams)

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

Files

Just SKILL.md in plugins/meeting-bots/skills/meeting of davepoon/buildwithclaude.

Open the folder on GitHubat commit 616deb5

Compare with similar skills

Meeting 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meeting this skilldavepoon/buildwithclaude3.6k—~5.2kAutomated safety check: NotesMIT
Recipe Review Meet Participantsgoogleworkspace/cli31k—~222Automated safety check: PassApache-2.0
Meetingsalirezarezvani/claude-skills28k—~1.5kAutomated safety check: PassMIT
Meeting Minutesgithub/awesome-copilot40k2 repos~2kAutomated safety check: PassMIT
Meeting Action ItemsNousResearch/hermes-agent252k—~950Automated safety check: PassMIT
Summarize Meetingphuryn/pm-skills27k—~749Automated safety check: PassMIT

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Questions about Meeting

What does Meeting do?

Convene a meeting of AI personas (3 to 10 participants) who debate a subject and reach a synthesis. Meeting is an agent skill from davepoon/buildwithclaude. Convene a meeting of AI personas (3 to 10 participants) who debate a subject and reach a synthesis.

How do I install Meeting in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill meeting -a claude-code`. Or copy the skill folder (plugins/meeting-bots/skills/meeting in davepoon/buildwithclaude) into .claude/skills/meeting in your project. Claude Code loads it when a task matches its description.

How do I install Meeting in Codex?

Run `npx skills add davepoon/buildwithclaude --skill meeting -a codex`. Or copy the skill folder (plugins/meeting-bots/skills/meeting in davepoon/buildwithclaude) into .agents/skills/meeting in your project. Codex loads it when a task matches its description.

Can I use Meeting 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 davepoon/buildwithclaude --skill meeting -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, .gemini/skills/meeting, .github/skills/meeting and .opencode/skills/meeting in your project.

What does Meeting need to run?

SKILL.md names no scripts, command-line tools or credentials: Meeting is instructions for the agent only. Its frontmatter pre-approves these tools: Agent, Write, Bash.

Does Meeting 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 safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Meeting use?

Meeting 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 use?

About 5.2k tokens (SKILL.md is roughly 21k 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?

Skills that share tags, products or a category with Meeting: Recipe Review Meet Participants (googleworkspace/cli, 31k stars), Meetings (alirezarezvani/claude-skills, 28k 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?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,610 GitHub stars. The repository holds 247 skills in this directory. The repository was last updated on October 9, 2026.

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