build-team
Propose and, after approval, configure a personalized team of Codex subagent roles based on the user's profile, goals, and working style.
One-page briefing before a call or meeting with person context, open items, and talking points. Use when user says \"prep me for my call with [person]\", \"meeting prep\", \"brief me before my meeting\", \"get ready for my call\", or mentions an upcoming meeting where context
$ npx -y skills add kbanc85/claudia --skill meeting-prep --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/meeting-prepContext preview
The summary Claude sees to decide when to auto-load this skill.
One-page briefing before a call or meeting with person context, open items, and talking points. Use when user says \"prep me for my call with [person]\", \"meeting prep\", \"brief me before my meeting\", \"get ready for my call\", or mentions an upcoming meeting where context
name: meeting-prep description: "One-page briefing before a call or meeting with person context, open items, and talking points. Use when user says \"prep me for my call with [person]\", \"meeting prep\", \"brief me before my meeting\", \"get ready for my call\", or mentions an upcoming meeting where context would help. See also: `capture-meeting` for processing notes after the call; `follow-up-draft` for thank-yous." argument-hint: [person or meeting name] effort-level: medium
One-page briefing before a call or meeting.
`/meeting-prep [person or meeting name]`
Or naturally:
Call the `memory_deep_context` MCP tool with the person's name. This returns everything in one round trip: entity info, all memories, connected entities, temporal items (commitments, observations), and episode history. Use this data for all sections below.
If deep_context is unavailable, fall back to sequential calls: `memory_about` for the entity, then `memory_recall` for broader context.
From `memory_deep_context` result (or `people/[person].md` as fallback):
From the temporal section of deep_context results:
From the episodes section of deep_context results, plus linked documents.
Also check:
## Meeting Prep: [Person/Meeting Name] ### [Day, Date] at [Time] --- **Who:** [Name, Role, Organization] **Last Contact:** [Date] — [Context] **Relationship:** [Current state/health] --- ### Context [Brief summary of relationship and recent history] ### Open Items **You Owe Them:** - [Item] — due [date] **They Owe You:** - [Item] — expected [date] ### Key Points from Last Interaction - [Point 1] - [Point 2] ### What Matters to Them - [Priority 1] - [Priority 2] ### Suggested Topics 1. [Topic based on context] 2. [Topic based on open items] 3. [Topic based on their priorities] ### Watch For - [Concern or sensitivity] - [Opportunity] ### Outcome to Aim For [What would make this meeting successful?] --- *Anything else to prepare?*
If no file exists for this person: "I don't have context on [Person] yet. Would you like to: 1. Tell me about them now (quick capture) 2. Create a full person file 3. Proceed with what you know"
For meetings with multiple people:
Terminal-based AI chief of staff. Remembers relationships, tracks commitments, helps you think strategically. Runs on Claude Code.
Repo: kbanc85/claudia
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