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

vault-stream

Skill179 starsChanged 8 months agoMITView on GitHub

Capture a stream idea or guest profile for content planning

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When ambiguous (just names a person with no clear topic), default to guest profile.

    line 27
  2. Very specific:

    Check for duplicates: vault_search(query: "{name or topic}") — if similar exists, suggest updating instead.

    line 41

≈ “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

Smart capture for content/show planning. Detect type from input:

Guest profile (input is about a person):

  • Names someone specific
  • Describes who they are, what they've built
  • Mentions "guest", "have on", "should interview"

Action: vault_create_entry(entry_type: "guest_profile", ...)

Stream idea (input is about a topic/concept):

  • Describes what the episode would be about
  • Mentions a format (interview, vibe coding, demo, news)
  • Has talking points

Action: vault_create_entry(entry_type: "stream_idea", ...)

When ambiguous (just names a person with no clear topic), default to guest profile.

Guest Profiles

Extract: name, about, why they'd be good, relationship type (personal/network/cold), contact info, potential topics.

Stream Ideas

Extract: topic, format, potential guest, planned date if mentioned.

Link

Link to the parent project entry for the show via vault_link(link_type: "parent").

Check for duplicates: vault_search(query: "{name or topic}") — if similar exists, suggest updating instead.

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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

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  • 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.

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