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compare-shows

Side-by-side comparison of YouTube channels and podcasts to identify overlapping topics and shared sponsors.

Install

mkdir -p .claude/skills/compare-shows && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19564" && unzip -o skill.zip -d .claude/skills/compare-shows && rm skill.zip

Installs to .claude/skills/compare-shows

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Compares two podcasts or YouTube shows side by side: size, latest episode, what each talks about, what both cover, and shared sponsors. Uses arcmira.
149 charsno explicit “when” trigger
Beginner

Key capabilities

  • →Compare episode recency and show size
  • →Identify shared topics between two channels
  • →Find overlapping sponsors across shows
  • →Generate side-by-side content digests
  • →Analyze top subjects for individual channels

How it works

The skill retrieves status and episode data for two channels, then uses occurrences and sponsors methods to find intersections in content and advertising.

Inputs & outputs

You give it
Two show names
You get back
Comparative metrics, shared topics, and common sponsors

When to use compare-shows

  • →Compare two competing podcasts for audience overlap
  • →Find shared sponsors between two tech shows
  • →Determine if two shows cover the same news topics
  • →Analyze the differences in content focus between two channels
  • →Create a combined digest of topics from two shows

About this skill

Compare two shows

status sizes each show, episodes gives the latest, occurrences with both channel ids ranks what each covers and returns shared for what both mention, and sponsors of each, joined on entity id, gives shared sponsors.

Run each program with arcmira_execute_read; arcmira_describe has the method reference.

When to use

  • compare two shows, or a show against a competitor
  • what two podcasts both talk about, or who they both advertise
  • a digest of what one or two shows covered this week or month

Pick the entity the user meant

Users give names; filters take ids only (ent_..., UC..., 11-character video ids), and a name where an id belongs throws id_required.

  1. Resolve the exact name the user said, with their own words about it as context (a bare "Theo" has none).
  2. best and suggested give the id. A suggested pick is an assumption: the answer names it, with suggested.evidence as the reason.
  3. ask: several entities fit, and ask.options goes back to the user. No answer at all: the name is not in the index.

For this task:

  • Resolve each show with { type: "channel" } and use youtube_channel_id. Users shorten show names ("All In", "MTS"); resolve suggests a show by its initials or closest spelling, so say when a show was assumed. When nothing comes back, retry the full or hyphenated name before saying the show is not in the index.
  • Pass both UC ids in one occurrences call and read shared.

Worked program

Pass each block to arcmira_execute_read as one program (a block marked arcmira_execute_write goes to that tool), with the name swapped for the user's. It opens with the pick: set CONTEXT to the user's own words about the name. When several entities fit it returns ask and runs nothing else. Show those options to the user, then run it again with ID set to the pick. Build date windows from arcmira.daysAgo(n) and arcmira.today().

Two shows, last 90 days

const SHOWS = ["TBPN", "All-In Podcast"], IDS = [null, null];   // after an ask, put the picked option's channel_id in IDS and run again
const ids = [], names = [], assumed = [];
for (const [i, n] of SHOWS.entries()) {
  if (IDS[i]) { ids.push(IDS[i]); names.push(n); assumed.push(null); continue; }
  const r = await arcmira.resolve(n, { type: "channel" });
  const e = r.best ?? r.suggested;
  if (!e) return { unresolved: n, ask: r.ask && { question: r.ask.question, options: r.ask.options.map(o => ({ ...o, channel_id: r.candidates.find(c => c.id === o.id)?.youtube_channel_id ?? null })) } };
  ids.push(e.youtube_channel_id);
  names.push(e.name);
  assumed.push(r.suggested ? r.suggested.evidence : null);
}
const after = arcmira.daysAgo(90);
const [s0, s1, e0, e1, occ, sp0, sp1] = await Promise.all([
  arcmira.status({ channelId: ids[0] }), arcmira.status({ channelId: ids[1] }),
  arcmira.episodes(ids[0], { limit: 1 }), arcmira.episodes(ids[1], { limit: 1 }),
  arcmira.occurrences({ channelIds: ids, types: ["organization", "product"], after, limit: 40 }),
  arcmira.sponsors(ids[0]), arcmira.sponsors(ids[1]),
]);
const inOther = new Map(sp1.sponsors.map(x => [x.entity.id, x.ad_reads]));
return {
  window: occ.window,
  shows: ids.map((id, i) => ({ name: names[i], channel_id: id, assumed: Boolean(assumed[i]), why: assumed[i], videos_indexed: [s0, s1][i].channel.searchable_videos, indexed_through: [s0, s1][i].channel.indexed_through, latest: [e0, e1][i].episodes[0]?.title ?? null,
    top: occ.rows.filter(x => x.channel_id === id).slice(0, 5).map(x => [x.name, x.count]) })),
  both_discussed: occ.shared.slice(0, 5).map(x => ({ name: x.name, id: x.entity_id, episodes_by_show: x.by_channel.map(c => [c.channel_name, c.count]) })),
  shared_sponsors: sp0.sponsors.filter(x => inOther.has(x.entity.id)).map(x => ({ name: x.entity.name, id: x.entity.id, ad_reads: [x.ad_reads, inOther.get(x.entity.id)] })),
};

A good answer

  • Names both shows as resolved, with their channel ids.
  • A side-by-side: videos indexed and indexed_through for each, the latest episode, and each show's top subjects with episode counts.
  • What both covered, from shared, with episodes per show, and the shared sponsors with ad reads per show, for a stated window.

Traps

  • With two or more channelIds, occurrences puts the overlap in shared; rows alone never shows it.
  • Never count episodes to size a show; status({ channelId }).channel.searchable_videos is the count.
  • An empty shared in a short window is an answer (no overlap in the window), not an error; widen the window only if the user asked for a longer one.

Docs: https://arcmira.com/docs/mcp-server

After the answer

Monitors can follow what a research turn found, and each alert uses 25 credits from the account's plan, then its on-demand budget. The company-watch skill sets one up.

If anything was wrong, slow, or missing for the user, or they want a source or capability Arcmira lacks, send one arcmira_feedback.

When not to use it

  • →When show names cannot be resolved to channel IDs
  • →When the requested window has no shared content
  • →When comparing more than two shows simultaneously

Prerequisites

Two valid YouTube or podcast channel identifiers

Limitations

  • →Shared content is only visible in the shared field
  • →Episode counts do not represent total show size
  • →Requires specific channel IDs for accurate comparison

How it compares

It provides a programmatic intersection of data between two specific channels rather than relying on manual comparison of individual show feeds.

Compared to similar skills

compare-shows side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
compare-shows (this skill)07dNo flagsBeginner
literature-review5594moReviewAdvanced
openalex-database4810moReviewIntermediate
market-research-reports3810moReviewAdvanced

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