agentleFS
pass-agentpass-agent/loomkin/.agents/skills/vault-prep/SKILL.md

vault-prep

Skill179 starsChanged 8 months agoMITView on GitHub

Generate a pre-meeting agenda with context gathered from the knowledge base

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create or update a meeting prep file with topics and auto-gathered context.

    line 13
  2. Distinctive:

    If not: CREATE MODE — gather full context and create new prep

    line 24
  3. Distinctive:

    Check for duplicate topics across contributors — note "(Also raised by {other person})" if similar.

    line 50
  4. Distinctive:

    CREATE: Topics added, context gathered (follow-ups count, async updates, at-risk items) APPEND: Topics added, existing agenda summary, …

    line 54

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Create or update a meeting prep file with topics and auto-gathered context.

Identify Contributor

Who is adding topics? Look for @mentions or ask.

Check for Existing Prep

vault_search(query: "prep", entry_type: "meeting") filtered to today's date.

  • If exists: APPEND MODE — add this person's topics to the existing prep
  • If not: CREATE MODE — gather full context and create new prep

Gather Context (CREATE MODE only)

  1. Recent meetings: vault_search(query: "*", entry_type: "meeting") last 3
    • Extract discussion topics, open action items, decisions
  2. Open follow-ups: vault_kanban(action: "list") filtered to items with meeting sources
  3. Recent checkins: vault_search(query: "*", entry_type: "checkin") since last meeting
    • Summarize as "async updates" — no need to rehash in the meeting
  4. At-risk OKRs: vault_search(query: "*", tags: ["okr"]) — check frontmatter for status
  5. Upcoming milestones: vault_search(query: "milestone", tags: ["in-progress"])

Parse Topics

From user input, extract:

  • Topics they want to discuss
  • Decisions that need to be made
  • Questions they have

Create/Update Entry

CREATE: vault_create_entry(entry_type: "meeting", ...) with prep content, include prep_generated: true and contributors: ["{person}"] in extra_frontmatter

APPEND: vault_update_entry(append: "{person}'s topics:\n- [ ] Topic 1\n- [ ] Topic 2") Also update contributors list in frontmatter.

Check for duplicate topics across contributors — note "(Also raised by {other person})" if similar.

Report

CREATE: Topics added, context gathered (follow-ups count, async updates, at-risk items) APPEND: Topics added, existing agenda summary, current contributors list

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.