
AI Agent Development Workflow
Guides an AI assistant through a phased process for designing and building AI agents
- Repository
- sickn33/agentic-awesome-skills
- Stars
- 49,023
- Licence
- MIT
- Files
- 1 file
What it does
This is an index-style workflow that tells the assistant how to structure a project for building AI agents, from single autonomous agents to multi-agent systems with orchestration, tools, memory and evaluation. It points to other skills (such as CrewAI and LangGraph guides) for each phase and suggests copy-paste prompts to invoke them. It does not run code itself; it shapes how the assistant plans and works through an agent-building task.
Great for
- Developers starting a new AI agent project who want a structured sequence of steps
- Teams choosing between single-agent and multi-agent designs with CrewAI or LangGraph
- People who want a checklist covering tools, memory and evaluation for an agent
Skip it if
- Simple one-off coding questions, since the workflow is broad and adds process overhead
- Tasks that need actual CrewAI or LangGraph implementation details, because this file only points to other skills that are not included here
- Production deployment decisions, since the file itself warns it is not a substitute for environment-specific validation or expert review
Try asking
- “Help me design the architecture for an agent that answers customer support tickets using tools and memory”
- “Walk me through building a multi-agent research system with CrewAI roles”
- “Plan the evaluation criteria and test scenarios for my existing agent”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
ai-agent-development.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip ai-agent-development.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip ai-agent-development.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Name the phase you need (for example Phase 4 orchestration) so the assistant loads only the relevant sub-skill
- State explicitly whether you want the assistant to build agents or only plan them, since the file says multi-agent phases do not authorize the assistant to spawn agents itself
- Ask for recorded evaluation inputs and limitations, as the workflow recommends
What's inside
- SKILL.md
Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.