aiskillstore/ai-agent-development
skills/sickn33/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.
$ install --global
skillsauthnpx skillsauth add aiskillstore/marketplace 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: Mar 31, 2026, 7:13 AM55.1s2 files 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.
- source:
- personal
- risk:
- safe
- domain:
- ai-ml
- category:
- granular-workflow-bundle
- version:
- 1.0.0
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
aiskillstore/hig-components-content
development
VerifiedTrustedCommunity
Apple Human Interface Guidelines for content display components. Use this skill when the user asks about charts component, collection view, image view, web view, color well, image well, activity view, lockup, data visualization, content display, displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says how should I display charts, what's the best way to show images, should I use a web view, how do I build a grid of items, what component shows media, or how do I present a share sheet. Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
244SKILL.mdUpdated Apr 10, 2026
aiskillstore/helpdesk-automation
tools
VerifiedTrustedCommunity
Automate HelpDesk tasks via Rube MCP (Composio): list tickets, manage views, use canned responses, and configure custom fields. Always search tools first for current schemas.
244SKILL.mdUpdated Apr 10, 2026
aiskillstore/haskell-pro
testing
VerifiedTrustedCommunity
Expert Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
244SKILL.mdUpdated Apr 10, 2026
aiskillstore/graphql
tools
VerifiedTrustedCommunity
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
244SKILL.mdUpdated Apr 10, 2026