Skip to content
cccskills
FreePublished on GitHub

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]."

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (5)

  • SKILL.md3.6 KB
  • references/brief-template.md1.0 KB
  • references/meeting-types.md2.3 KB
  • references/question-banks.md2.7 KB
  • SKILL-OC.md2.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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 format
  • references/meeting-types.md — agenda by meeting type
  • references/question-banks.md — question sets by context

Requirements

  • Claude Code with bash tool access
  • Vault with bambf/ structure
  • No external APIs required

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI discoverability," "AEO," "LLM visibility," or wants to understand their brand's AI presence.

The English summary is being prepared. Showing the original description.

BrianRWagner/ai-marketing-claude-code-skills444Updated Mar 19, 2026

Turn client wins into formatted case studies for proposals, social proof, and sales conversations. Use when someone needs to document results, build credibility, or create reusable proof assets.

The English summary is being prepared. Showing the original description.

BrianRWagner/ai-marketing-claude-code-skills444Updated Mar 19, 2026

Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.

The English summary is being prepared. Showing the original description.

BrianRWagner/ai-marketing-claude-code-skills444Updated Mar 19, 2026

Generate content ideas rooted in positioning. Use when someone needs "content ideas," "what should I post," "blog topics," "LinkedIn ideas," or is stuck on what to create.

The English summary is being prepared. Showing the original description.

BrianRWagner/ai-marketing-claude-code-skills444Updated Mar 19, 2026

Generate a clean morning brief in Claude Code — pulls today's priorities, unposted content, and weather from your vault.

The English summary is being prepared. Showing the original description.

BrianRWagner/ai-marketing-claude-code-skills444Updated Mar 19, 2026

Remove AI-generated jargon and restore human voice to text. Built from analyzing 1,000+ AI vs human content pieces.

The English summary is being prepared. Showing the original description.

BrianRWagner/ai-marketing-claude-code-skills444Updated Mar 19, 2026

See all skills by BrianRWagner

Report a problem with this skill