Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows. Do NOT use to stress-test or critique an already-written plan document; use plan-swarm-review for that (this skill designs the harness, it does not review plans).
$npx -y skills add anastasiyaw/claude-code-config --skill harness-designInstalls into the current project.
Run `npx skills use "https://github.com/anastasiyaw/claude-code-config" --skill "anastasiyaw/claude-code-config/harness-design"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/anastasiyaw/claude-code-config" that are relevant to the current task. Run `npx skills add "https://github.com/anastasiyaw/claude-code-config"` and select the relevant skills, then follow their instructions.