Individual skill
agent-designer
Use when designing a multi-agent system (supervisor, swarm, pipeline), writing agent tool schemas, or reading agent run logs for cost, latency or failure bottlenecks. Not for Claude Code workflow files (workflow-builder).
engineering/skills/agent-designer/SKILL.md
Source commit 9ef0c3c213932e645cc5cbeeb3c35c3a762a2437
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 29,490
- Repository last updated
- Nov 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agentic-ai Repository topic
- anthropic-claude Repository topic
- claude-ai Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- claude-code-skills Repository topic
- ai-coding-agent Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- openai-codex Repository topic
- operations Derived category
- writing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
README.mddoc · 12,511 bytesSKILL.mdcore · 3,941 bytesSKILL.mdcore · 3,941 bytesSKILL.mdcore · 3,941 bytesSKILL.mdcore · 3,941 bytesagent_evaluator.pyruns · 53,536 bytesagent_planner.pyruns · 38,868 bytesassets/sample_execution_logs.jsonasset · 15,847 bytesassets/sample_system_requirements.jsonasset · 2,292 bytesassets/sample_tool_descriptions.jsonasset · 16,116 bytesexpected_outputs/sample_agent_architecture.jsonasset · 13,933 bytesexpected_outputs/sample_evaluation_report.jsonasset · 15,336 bytesexpected_outputs/sample_tool_schemas.jsonasset · 11,988 bytesreferences/agent_architecture_patterns.mddoc · 9,876 bytesreferences/evaluation_methodology.mddoc · 20,476 bytesreferences/tool_design_best_practices.mddoc · 13,718 bytestool_schema_generator.pyruns · 37,813 bytes
Read excerpt
# Agent Designer — Multi-Agent System Architecture
Design, schema-generate, and evaluate multi-agent systems with three deterministic tools. The scripts are the workflow — do not freehand an architecture when the planner can score one from requirements.
## When to use
- Designing a new multi-agent system from requirements (pattern choice, roles, comms)
- Generating provider-ready tool schemas (Anthropic + OpenAI formats) from plain tool descriptions
- Evaluating execution logs: success rate, latency distribution, cost, bottlenecks
**When NOT to use:** Claude Code Workflow-tool automations → `workflow-builder`; single-agent workflow scaffolds → `agent-workflow-designer`; multi-agent fan-out at runtime → `agenthub`.
## Pattern decision table