voidomin/ai-agent-development
skills/ai-agent-development/SKILL.md
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
development
Updated Apr 15, 2026
$ install --global
skillsauthnpx skillsauth add voidomin/Param_Adventures_Phase2 ai-agent-developmentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 25, 2026, 9:33 PM2.0s1 file scanned
SKILL.md
- name:
- ai-agent-development
- description:
- AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
- category:
- granular-workflow-bundle
- risk:
- safe
- source:
- personal
- date_added:
- 2026-02-27
AI Agent Development Workflow
Overview
Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.
When to Use This Workflow
Use this workflow when:
- Building autonomous AI agents
- Creating multi-agent systems
- Implementing agent orchestration
- Adding tool integration to agents
- Setting up agent memory
Workflow Phases
Phase 1: Agent Design
Skills to Invoke
ai-agents-architect- Agent architectureautonomous-agents- Autonomous patterns
Actions
- Define agent purpose
- Design agent capabilities
- Plan tool integration
- Design memory system
- Define success metrics
Copy-Paste Prompts
Use @ai-agents-architect to design AI agent architecture
Phase 2: Single Agent Implementation
Skills to Invoke
autonomous-agent-patterns- Agent patternsautonomous-agents- Autonomous agents
Actions
- Choose agent framework
- Implement agent logic
- Add tool integration
- Configure memory
- Test agent behavior
Copy-Paste Prompts
Use @autonomous-agent-patterns to implement single agent
Phase 3: Multi-Agent System
Skills to Invoke
crewai- CrewAI frameworkmulti-agent-patterns- Multi-agent patterns
Actions
- Define agent roles
- Set up agent communication
- Configure orchestration
- Implement task delegation
- Test coordination
Copy-Paste Prompts
Use @crewai to build multi-agent system with roles
Phase 4: Agent Orchestration
Skills to Invoke
langgraph- LangGraph orchestrationworkflow-orchestration-patterns- Orchestration
Actions
- Design workflow graph
- Implement state management
- Add conditional branches
- Configure persistence
- Test workflows
Copy-Paste Prompts
Use @langgraph to create stateful agent workflows
Phase 5: Tool Integration
Skills to Invoke
agent-tool-builder- Tool buildingtool-design- Tool design
Actions
- Identify tool needs
- Design tool interfaces
- Implement tools
- Add error handling
- Test tool usage
Copy-Paste Prompts
Use @agent-tool-builder to create agent tools
Phase 6: Memory Systems
Skills to Invoke
agent-memory-systems- Memory architectureconversation-memory- Conversation memory
Actions
- Design memory structure
- Implement short-term memory
- Set up long-term memory
- Add entity memory
- Test memory retrieval
Copy-Paste Prompts
Use @agent-memory-systems to implement agent memory
Phase 7: Evaluation
Skills to Invoke
agent-evaluation- Agent evaluationevaluation- AI evaluation
Actions
- Define evaluation criteria
- Create test scenarios
- Measure agent performance
- Test edge cases
- Iterate improvements
Copy-Paste Prompts
Use @agent-evaluation to evaluate agent performance
Agent Architecture
User Input -> Planner -> Agent -> Tools -> Memory -> Response
| | | |
Decompose LLM Core Actions Short/Long-term
Quality Gates
- [ ] Agent logic working
- [ ] Tools integrated
- [ ] Memory functional
- [ ] Orchestration tested
- [ ] Evaluation passing
Related Workflow Bundles
ai-ml- AI/ML developmentrag-implementation- RAG systemsworkflow-automation- Workflow patterns
Related Skills
voidomin/canvas-design
documentation
VerifiedTrustedCommunity
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create ...
SKILL.mdUpdated Apr 19, 2026
voidomin/canva-automation
tools
VerifiedTrustedCommunity
Automate Canva tasks via Rube MCP (Composio): designs, exports, folders, brand templates, autofill. Always search tools first for current schemas.
SKILL.mdUpdated Apr 19, 2026
voidomin/calendly-automation
tools
VerifiedTrustedCommunity
Automate Calendly scheduling, event management, invitee tracking, availability checks, and organization administration via Rube MCP (Composio). Always search tools first for current schemas.
SKILL.mdUpdated Apr 19, 2026
voidomin/cal-com-automation
tools
VerifiedTrustedCommunity
Automate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.
SKILL.mdUpdated Apr 19, 2026