Agent skill

Meeting Prep Kit

by sruthir28 in sruthir28/enterprise-ai-skills

Personal meeting prep tool. An agent skill from sruthir28/enterprise-ai-skills.

MITAuto-check passedSales & Support

Install Meeting Prep Kit

skills CLI
$ npx skills add sruthir28/enterprise-ai-skills --skill meeting-prep-kit -a claude-code

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

GitHub CLI
$ gh skill install sruthir28/enterprise-ai-skills meeting-prep-kit --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/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/meeting-prep-kit .claude/skills/meeting-prep-kit && 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-prep-kit
GitHub stars
148
Token cost
~1.4k tokens
SKILL.md length
784 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Personal meeting prep tool. An agent skill from sruthir28/enterprise-ai-skills.

  • Works in 6 steps: Who's in the room? Names + roles. Power… → Meeting length (15 / 30 / 60 min) → Topic (one sentence) → …
  • Tasks that involve Sales call preparation
  • SKILL.md covers Design choices (why this skill…, Inputs the skill needs…, Output format and Process, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Meeting Prep Kit is an agent skill from sruthir28/enterprise-ai-skills. Personal meeting prep tool. Given a meeting (attendees, topic, desired outcome), generates a tight prep packet — 3-bullet pre-read, time-boxed agenda, your top 3 talking points, and the top 3 objections you'll face with rebuttals. Use before any meeting where you're driving an outcome — exec reviews, stakeholder pitches, scope negotiations, manager 1:1s with an ask, vendor calls.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Sales call preparation. The repository describes itself as: Open-source AI skills for enterprise professionals. McKinsey consulting frameworks, PM workflows, and practical tools. Currently for Claude, expanding to other LLMs. The licence is MIT.

When your agent uses it

  • Tasks that involve Sales call preparation

Example prompts

  • “ll face with rebuttals. Use before any meeting where you”
  • “/meeting-prep-kit”

Workflow steps

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

  1. Who's in the room? Names + roles. Power dynamics matter.
  2. Meeting length (15 / 30 / 60 min)
  3. Topic (one sentence)
  4. The outcome you want. Specific. "Get Sarah to approve $50K budget" — not "discuss budget."
  5. What they care about (their KPIs, recent context, stated priorities)
  6. What you have (data, alternatives, asks already discussed offline)

What it can do on your machine

Read from SKILL.md and the folder at commit ae8fe60. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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 Prep Kit loads about 1.4k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 784 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
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 sruthir28/enterprise-ai-skills at commit ae8fe60, republished under its MIT licence (© sruthir28). 784 words, ~1,398 tokens.

Download SKILL.mdSave it as .claude/skills/meeting-prep-kit/SKILL.md (or your agent's skills folder).
name
meeting-prep-kit
description
Personal meeting prep tool. Given a meeting (attendees, topic, desired outcome), generates a tight prep packet — 3-bullet pre-read, time-boxed agenda, your top 3 talking points, and the top 3 objections you'll face with rebuttals. Use before any meeting where you're driving an outcome — exec reviews, stakeholder pitches, scope negotiations, manager 1:1s with an ask, vendor calls.

Meeting Prep Kit

Personal prep tool for meetings where you are driving an outcome. Not a meeting note-taker. Not a generic agenda builder. The output is for you, the person walking into the room.


Design choices (why this skill is opinionated)

  • For you, not the team. Output assumes you already know the context. No "as you know" preambles.
  • Outcome-first. Every section ladders back to one thing: what you want when you walk out.
  • Top 3, not all 12. Talking points capped at 3. Objections capped at 3. If you can't pick 3, you don't know your ask yet.
  • Speakable, not slidable. Talking points are how you'd actually say it out loud — not bullet-point soup.

Inputs the skill needs (interview if missing)

  1. Who's in the room? Names + roles. Power dynamics matter.
  2. Meeting length (15 / 30 / 60 min)
  3. Topic (one sentence)
  4. The outcome you want. Specific. "Get Sarah to approve $50K budget" — not "discuss budget."
  5. What they care about (their KPIs, recent context, stated priorities)
  6. What you have (data, alternatives, asks already discussed offline)

If any of these are missing, ask before drafting. Vague inputs = generic output.


Output format

Pre-read (3 bullets, ≤30 words each)

The minimum context anyone in the room needs before you open your mouth. Three things, no more.

Time-boxed agenda
TimeSectionOwner
0:00What this is + the outcome we needYou
0:03Context (data, ≤2 min)You
.........
Final 5 minDecision + next stepsYou

Total adds up to meeting length. Decision time is always reserved at the end.

Your talking points (top 3, in order)
  1. Lead with the strongest — the one fact or framing they can't argue with.
  2. Address the elephant — name the obvious objection yourself, before they do.
  3. Make the ask — the one specific yes/no thing you want.

Each in plain spoken language. No corporate-speak, no buzzwords.

Anticipated objections (top 3, with rebuttals)
ObjectionWho'd raise itYour rebuttal (1 line)
"We tried this in 2023 and it didn't work"Sarah"Different context — Q1 data shows X is now true"
.........

Process

  1. Confirm inputs (interview if anything's missing).
  2. Reverse-engineer from the outcome. What would have to be true for them to say yes?
  3. Draft pre-read → agenda → talking points in that order.
  4. Brainstorm objections by role. What would each person in the room push back on?
  5. Cut everything that doesn't ladder to the outcome. If a bullet doesn't serve the ask, drop it.

Worked example

Input

  • Who: Mark (VP Eng), Priya (PM lead)
  • Length: 30 min
  • Topic: Pushing v2 launch from 5/15 to 6/1
  • Outcome: Both approve the slip by end of meeting
  • They care about: Mark = team burnout, Priya = GTM commits to design partners
  • I have: 400-hr capacity gap, 2 design partners' rescheduling status, Q1 burnout survey (4/10 NPS)

Output

Show full SKILL.md (317 more words)Show less
Pre-read
  • v2 scope = 1,800 hrs estimated; team capacity = 1,400 hrs (400-hr gap).
  • Cutting AI-tagging closes the gap but breaks the GTM commit to 4 design partners.
  • Slip to 6/1 = 17 days, keeps full scope, gives the team room (NPS hit 4/10 in Q1).
Agenda
TimeSectionOwner
0:00Why we're here + the askYou
0:03The capacity gap (data)You
0:08Two paths: cut vs. slipYou
0:15DiscussionMark, Priya
0:25Decision + next stepsAll
Talking points
  1. We're 400 hrs over and the team's already at 4/10 NPS. If we ship 5/15, we either cut quality or burn the team for two more weeks. That's the actual choice.
  2. I know GTM committed 5/15 — I've already drafted the design-partner email and confirmed they can absorb a 17-day slip without losing the pilot.
  3. I'm asking for the slip to 6/1, full scope intact. Yes/no by EOD so I can lock the comms.
Objections
ObjectionWhoRebuttal
"Why didn't you flag this 2 weeks ago?"MarkI underestimated the AI-tagging integration. Baking better estimation into the next planning cycle.
"Can't we just cut AI-tagging?"PriyaWe could — but it's the #1 ask from 3 of 4 design partners. Slipping costs less than cutting.
"What does this do to Q3?"MarkQ3 plan already assumed 6/1 — buffer was built in. No downstream slip.

When to use

  • Exec reviews where you're presenting
  • Stakeholder pitches that need a yes
  • Scope or timeline negotiations
  • 1:1s with your manager where you're making an ask (raise, role change, project shift)
  • Vendor calls where you're closing or evaluating

When NOT to use

  • Status updates (no outcome to drive)
  • Brainstorms (no ask)
  • 1:1 catchups (no agenda needed)
  • Recurring standups

Pairs well with

  • Decision Memo Builder — if the meeting is to approve a memo, draft the memo first, prep the meeting around it
  • McKinsey Critic — run your talking points through the critic before walking in

© sruthir28, 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 meeting-prep-kit of sruthir28/enterprise-ai-skills.

Open the folder on GitHubat commit ae8fe60

Compare with similar skills

Meeting Prep Kit 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 Prep Kit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meeting Prep Kit this skillsruthir28/enterprise-ai-skills148—~1.4kAutomated safety check: PassMIT
Luopan Company Researchzhangxiaoqiang1991/luopan389—~998Automated safety check: PassMIT
Company Researchstophobia/deerflow2.0-enhanced822—~845Automated safety check: PassMIT
Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills441—~922Automated safety check: PassNone
SdtStopDisTrain/sdt-skills309—~535Automated safety check: PassMIT
Account Researchextruct-ai/gtm-skills109—~1.6kAutomated safety check: PassNone

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Categories

Questions about Meeting Prep Kit

What does Meeting Prep Kit do?

Personal meeting prep tool. An agent skill from sruthir28/enterprise-ai-skills. Meeting Prep Kit is an agent skill from sruthir28/enterprise-ai-skills. Personal meeting prep tool.

When should I use Meeting Prep Kit?

Meeting Prep Kit fits situations like: tasks that involve Sales call preparation.

How do I install Meeting Prep Kit in Claude Code?

Run `npx skills add sruthir28/enterprise-ai-skills --skill meeting-prep-kit -a claude-code`. Or copy the skill folder (meeting-prep-kit in sruthir28/enterprise-ai-skills) into .claude/skills/meeting-prep-kit in your project. Claude Code loads it when a task matches its description.

How do I install Meeting Prep Kit in Codex?

Run `npx skills add sruthir28/enterprise-ai-skills --skill meeting-prep-kit -a codex`. Or copy the skill folder (meeting-prep-kit in sruthir28/enterprise-ai-skills) into .agents/skills/meeting-prep-kit in your project. Codex loads it when a task matches its description.

Can I use Meeting Prep Kit 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 sruthir28/enterprise-ai-skills --skill meeting-prep-kit -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-prep-kit, .gemini/skills/meeting-prep-kit, .github/skills/meeting-prep-kit and .opencode/skills/meeting-prep-kit in your project.

What does Meeting Prep Kit need to run?

SKILL.md names no scripts, command-line tools or credentials: Meeting Prep Kit is instructions for the agent only.

Does Meeting Prep Kit 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 Prep Kit 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 Prep Kit use?

Meeting Prep Kit 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 Prep Kit 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 Prep Kit?

Skills that share tags, products or a category with Meeting Prep Kit: Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars), Company Research (stophobia/deerflow2.0-enhanced, 822 stars), Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 441 stars) and Sdt (StopDisTrain/sdt-skills, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meeting Prep Kit?

sruthir28 (a GitHub user) maintains it in sruthir28/enterprise-ai-skills, which has 148 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 1, 2026.

Source: sruthir28/enterprise-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.