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A skill bundle is two things: a connection URL that advertises only the tools a workflow needs (via the ?tools= selector), and a SKILL.md that teaches the agent the workflow’s conventions — which tool to start from, how slugs chain, and the gotchas that cost a wasted round-trip. Paste both and the agent is productive on the first call. Skills only shape what’s advertised; every public tool stays callable by name, and the always-on particle_catalog / particle_call meta-tools ride along with every bundle, so an agent can always discover and reach the rest of the surface. To install a SKILL.md in Claude Code, save it as .claude/skills/<skill-name>/SKILL.md in your project (or ~/.claude/skills/<skill-name>/SKILL.md globally). Claude Code picks up changes to existing skill directories automatically; if this is your first skill (a brand-new skills/ directory), start a new session so it’s discovered. Other harnesses: paste the body into your system prompt.

Podcast Intelligence

Find what’s being said across the catalog: search dialogue, scan episodes, drill into transcripts.
Connect (Claude Code)
SKILL.md
Try: “What have podcast hosts said about AI agents replacing SaaS in the last 90 days?” · “Find the All-In episode where they discussed Anthropic and summarize the segment.”

Company Deep Dive

One company in full: profile, people, competitors, podcast footprint, and sponsorships.
Connect (Claude Code)
SKILL.md
Try: “Build a brief on Ramp: who runs it, who competes with it, and where its execs have appeared on podcasts.” · “Which podcasts does Notion sponsor, and what do hosts say about it organically?”

Guest & People Research

Who appears on podcasts: guest profiles, trends, and every line about a person.
Connect (Claude Code)
SKILL.md
Try: “Who are the trending AI guests this month, and which shows had them?” · “Everything said about Jensen Huang on podcasts this quarter, organized by theme.”

Build your own

A skill is just a ?tools= URL plus instructions. Pick tools from the tool reference, pin them on the connection URL, and teach the loop: resolve → traverse → expand with include only when needed. The llms.txt agent instructions are a ready-made starting point for the conventions section.