Topic mining, blog posts, social posts, memes, comparison and how-to pages, and release notes — at the cadence you want, with LLM-as-judge quality gates and human craft on top before anything ships.

Data-driven content production with quality gates that reject low-depth content before it ships.

What it does

A topic miner pulls high-signal topics from your search analytics, a strategist picks what to write next (avoiding duplication), a writer drafts the post, a separate LLM-as-judge reviewer hard-rejects low-quality drafts, and then a human reviews, tailors, or gives feedback before anything goes live — all content is human-crafted or human-approved before release. Memes are queued for review and tailoring before LinkedIn. Daily X/Twitter cadence is automated with the same craft step. Comparison and how-to pages are auto-generated from search gaps.

Agents

Content Strategist — analytics-driven topic selection (Plausible + Google Search Console), content calendar, performance calibration.
Content Writer — drafts posts in TSX (a BlogArticle component pattern), generates memes, owns voice and tone.
Content Reviewer — LLM-as-judge quality gate scored across Depth, Code Quality, Structure, SEO, Voice & Tone, Readability/AEO. Uses a different model family than the writer so the review is genuinely independent.
Discoverability Optimizer — SEO/AEO/schema-markup specialist; owns /md/ + /llms.txt (acceptmarkdown) compliance and structured-data wins.

Tools & Skills

Built-in (ships with agent-swarm)

agent-fs (drafts/research), swarm KV (content-state cursors), scheduled workflows (cadence), slack-post (visibility).

Custom (swarm-managed)

meme-creation — imgflip catalog with cooldown dedup.
gsc-analytics — Google Search Console queries (top queries/pages, WoW delta).
acceptmarkdown-compliance — verifies /md/ + /llms.txt content negotiation per acceptmarkdown.com.
x-posting-guidelines, x-api-interactions — brand voice + X API posting.
desplega-workshop-voice — brand-voice anchors.
Tool-creation workflow — when a topic miner surfaces a recurring need (e.g. "find comparable companies for outreach"), a meta-workflow spins up a new swarm-managed skill rather than inlining ad-hoc HTTP calls. Keeps the catalog growing in lockstep with the work.

Third-party providers

State / cache — we use Turso for the content-state LibSQL DB (topic supply, dispatch history, cooldowns).
Social scheduler — we use Buffer for the LinkedIn queue.
imgflip + X APIs — meme generation + posting.

Workflows / Schedules

gsc-topic-miner — weekly. 6 sources → label-and-enrich (multi-label) → bucket-and-rank (8 buckets × 10, target 80) → write to topic supply table. Downstream generators pull from the table.
unified-daily-blog — Tue + Thu. One context-builder fans out to 3 parallel series branches, each producing a post with research, litmus tests, image generation, and TSX assembly; converges at a merge step.
agent-swarm-blog — Mon + Wed. Agent-swarm learnings blog; litmus pushes for surprising/counterintuitive angles.
how-to-generator-with-schema — single-shot how-to page generator. Litmus hard-rejects drafts with missing/empty HowToSchema — structured data is what drives the lift.
competitor-page-generator + competitor-radar — radar scans search analytics for competitor-brand queries without a matching /competitor/alternatives/{brand} page; dispatches top gaps to the generator.
daily-meme-tweet — daily X/Twitter meme. No hashtags.
weekly-meme-linkedin — stages weekly memes in Buffer for human review and tailoring before publish.
weekly-new-releases — release-notes blog post from product-repo commits.
new-skill-bootstrap — meta-workflow: takes a new-skill spec from a content gap and scaffolds it into the swarm's skill registry.

Patterns used

Litmus Tests — a different-model-family judge hard-rejects sub-bar drafts before publish.
HITL Gates — every piece of content goes through human craft, tailoring, or feedback before release.

Tips for new swarm users

Litmus tests are the unlock. Use a different model family for the reviewer than the writer — same-family review is rubber-stamping in disguise.
Schema markup compounds. Don't skip it. Page-level structured data (HowTo, FAQ, Article, BreadcrumbList) is the difference between a page that ranks and one that doesn't.
Choose topics by data, not gut. A topic miner backed by real search analytics surfaces high-intent topics your team would never brainstorm.
Avoid duplication with a topic-coverage cursor (KV or DB).
Queue social content, don't auto-post. Stage in a Buffer-style queue with human review days before go-live. Recall is cheaper than apology.

Content Generation