agentic-system-design

agentic-system-design is an Agent, team & workflow authoring skill for AI agents, published by ooiyeefei in the ccc repository on GitHub. Skillspace rates agentic-system-design D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Prescriptive Q&A workflow for designing agentic pipelines, multi-model councils, sub-agent hierarchies, and tool-loop hardening for any domain. Use when the user asks to "design an agent", "design a multi-agent system", "should I use a council/debate", "build a [domain] review agent" (HAZOP, finance, tutorial, marketing, compliance, accounting), "real agency vs workflow", "how to add sub-agents", "AI for [domain] review", or names patterns like "orchestrator-worker", "evaluator-optimizer", "Magentic", "ReAct", "plan-and-execute", "handoffs". Walks the user through 12 stages one question at a time and emits a buildable design doc with citations. Do NOT use for general coding questions, single-shot prompt tuning, or bare "use Claude to do X" requests with no agency requirement.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
466

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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