QA Swarm
Launches 3-5 parallel QA subagents against a site, each with a distinct remit (SEO, monetisation, freshness, accuracy), synthesises findings.
Entry verified April 20, 2026
The short answer
Content QA is not one job — it's 5 jobs (accuracy, freshness, SEO, monetisation, link health). Running them serially is slow; running them in parallel is what makes Claude Code's agent model actually earn its keep.
When to use it
After a content batch lands. Monthly on evergreen pages. Before a major rebrand.
Setup
- 1
Save as ~/.claude/commands/qa.md.
- 2
Skill spawns N agents with narrow briefs. Collects outputs, synthesises into ranked findings.
- 3
Invoke: /qa <scope>.
Example
You: /qa pages/claude-code-mcp-stack.js Claude: 5 agents dispatched. Synthesis: 2 P1s (stale link, missing schema), 4 P2s. Full report below.
Source & attribution
- Author
- Bryan Collins
- Licence
- MIT
- Type
- Original
Original pattern published under MIT — attribution preserved by convention, not licence requirement.
Caveats
Costs 5x tokens per run. Budget accordingly.
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