
meeting-prep-cc
Generate a pre-meeting prep brief in Claude Code. Researches participants, pulls vault context, builds agenda, surfaces sharp questions. Use when user says "prep for this meeting," "I have a call with," "meeting tomorrow with," or "prep brief for [name/company]."
- Installs
- 370
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/brianrwagner/ai-marketing-claude-code-skills --skill meeting-prep-cc- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads meeting-prep-cc automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Meeting Prep (Claude Code Edition)
Generate a meeting prep brief from your Obsidian vault. Researches participants, surfaces vault history, builds a prioritized agenda, and generates sharp questions. No autonomy — you run it, you get your brief.
How to Use
Open Claude Code in your vault directory and say:
Run the Meeting Prep skill. Meeting with [name] from [company]. Type: [sales/WRS/strategy/partnership/interview]. Time: [date/time].
INTAKE
Check that the user has provided:
- Participant name(s) and company
- Meeting type (WRS / Sales / Strategy / Partnership / Interview / Other)
- Meeting time/date
- Optional: prior notes, last meeting summary
If meeting type is missing, ask:
What type of meeting is this?
WRS client / Sales / Strategy / Partnership / Interview / Other
ANALYZE
Run these steps in order. Capture all output before formatting the brief.
Step 1 — Vault Search
VAULT="${VAULT_PATH:-/root/obsidian-vault}"
NAME="[PARTICIPANT_NAME]"
COMPANY="[COMPANY_NAME]"
echo "=== VAULT CONTEXT ==="
grep -rl "$NAME\|$COMPANY" "$VAULT" \
--include="*.md" \
-not -path "*/.git/*" \
-not -path "*/.obsidian/*" \
| head -10 | while read f; do
echo "--- ${f##$VAULT/} ---"
grep -n "$NAME\|$COMPANY" "$f" | head -5
done
Step 2 — Prior Meeting Notes
VAULT="${VAULT_PATH:-/root/obsidian-vault}"
find "$VAULT/bambf/meeting-prep" -name "*.md" 2>/dev/null \
| xargs grep -l "$NAME\|$COMPANY" 2>/dev/null \
| sort -r | head -3 | while read f; do
echo "--- Prior brief: ${f##$VAULT/} ---"
head -30 "$f"
done
Step 3 — Open Commitments Check
VAULT="${VAULT_PATH:-/root/obsidian-vault}"
grep -rn "TODO\|action item\|follow up\|promised" "$VAULT" \
--include="*.md" \
-l 2>/dev/null \
| xargs grep -l "$NAME\|$COMPANY" 2>/dev/null \
| head -5 | while read f; do
echo "--- ${f##$VAULT/} ---"
grep -n "TODO\|action item\|follow up\|promised" "$f" | grep -i "$NAME\|$COMPANY" | head -5
done
OUTPUT
Format the brief using this structure (see references/brief-template.md):
# Meeting Prep: [Name] | [Date] [Time]
Meeting type: [type]
Their role: [role at company]
Relationship stage: [new / existing / lapsed]
---
WHY THIS MEETING MATTERS
[1-2 sentences on stakes, objective, desired outcome]
3 PRIORITIES FOR THIS CALL
1. [Priority 1]
2. [Priority 2]
3. [Priority 3]
CONTEXT FROM VAULT
[Pulled notes, open items, prior commitments — or "No prior history found"]
QUESTIONS TO ASK
1. [Question referencing research]
2. [Question]
3. [Question]
4. [Question]
5. [Question]
WATCH FOR
[Known objections, sensitivities, open loops]
DESIRED OUTCOME
[What does success look like in one sentence?]
NEXT STEP TO PROPOSE
[Specific: "schedule X," "send Y," "agree on Z"]
Then: Save brief to bambf/meeting-prep/YYYY-MM-DD-[lastname]-prep.md
Then: Print 3-line summary:
WHO: [Name], [role] at [company]
WHY IT MATTERS: [1 sentence]
TOP QUESTION: [The single sharpest question to ask]
Reference Files
references/brief-template.md— full brief formatreferences/meeting-types.md— agenda by meeting typereferences/question-banks.md— question sets by context
Requirements
- Claude Code with bash tool access
- Vault with bambf/ structure
- No external APIs required
FAQ
What does the meeting-prep-cc skill do?
Generate a pre-meeting prep brief in Claude Code. Researches participants, pulls vault context, builds agenda, surfaces sharp questions. Use when user says "prep for this meeting," "I have a call with," "meeting tomorrow with," or "prep brief for [name/company]."
How do I install meeting-prep-cc?
Run npx skills add https://github.com/brianrwagner/ai-marketing-claude-code-skills --skill meeting-prep-cc in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/meeting-prep-cc/ (personal) or .claude/skills/meeting-prep-cc/ (project).
Which AI agents can use meeting-prep-cc?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is meeting-prep-cc safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains meeting-prep-cc?
It is published by brianrwagner in brianrwagner/ai-marketing-claude-code-skills. It has 370 recorded installs.
More from brianrwagner/ai-marketing-claude-code-skills
de-ai-ify
brianrwagner/ai-marketing-claude-code-skills
Remove AI-generated jargon and restore human voice to text. Built from analyzing 1,000+ AI vs human content pieces.
linkedin-profile-optimizer
brianrwagner/ai-marketing-claude-code-skills
Audit and rewrite your LinkedIn profile to attract the right people. Scores each section, rewrites headline and about copy, and includes an AI visibility checklist so you show up in ChatGPT, Perplexity, and Claude search. Use when someone says "optimize my LinkedIn," "LinkedIn profile help," "rewrite my about section," or "how do I show up in AI search."
reddit-insights
brianrwagner/ai-marketing-claude-code-skills
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
voice-extractor
brianrwagner/ai-marketing-claude-code-skills
Extract and document someone's authentic writing voice from samples. Use when someone needs a "voice guide," wants to capture their writing DNA, or needs to train AI to write in their style. Also useful for ghostwriting, brand voice documentation, or onboarding writers.
homepage-audit
brianrwagner/ai-marketing-claude-code-skills
Open the skill to read its SKILL.md instructions.
last30days
brianrwagner/ai-marketing-claude-code-skills
Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.
Popular productivity & automation skills
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
lark-doc
open.feishu.cn
飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
lark-base
open.feishu.cn
飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。
lark-drive
open.feishu.cn
飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。
lark-shared
open.feishu.cn
Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.
lark-im
open.feishu.cn
飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。