discover-agentic
Automatically discover agentic workflow skills when building AI agents, implementing tool use patterns, managing context windows, decomposing complex tasks, or designing multi-step autonomous workflows. Activates for agentic AI development.
What this skill does
# Agentic Workflow Skills Discovery Provides automatic access to skills for building autonomous AI agents, managing tool use, and orchestrating multi-step workflows. ## When This Skill Activates This skill auto-activates when you're working with: - AI agent development and autonomous workflows - Task decomposition for LLM agents - Function calling and tool use patterns - Context window management and summarization - Working memory, scratchpads, and state tracking - Long-term memory and persistence patterns - Multi-step reasoning and planning - Failure recovery and re-planning strategies - Parallel vs sequential execution decisions ## Available Skills ### Quick Reference The Agentic category contains 3 specialized skills: 1. **agentic-task-decomposition** - Breaking complex goals into agent-executable steps, dependency graphs, re-planning 2. **agentic-tool-use** - Function calling patterns, parallel tool use, error handling, tool selection heuristics 3. **agentic-memory** - Context window management, working memory, long-term persistence, summarization ### Load Full Category Details For complete descriptions and workflows: Read ../agentic/INDEX.md This loads the full Agentic category index with: - Detailed skill descriptions - Usage triggers for each skill - Common workflow combinations - Cross-references to related skills ### Load Specific Skills Load individual skills as needed: # Task planning and decomposition Read ../agentic/agentic-task-decomposition.md # Tool calling and execution Read ../agentic/agentic-tool-use.md # Context and memory management Read ../agentic/agentic-memory.md ## Common Workflows ### Building an Agent from Scratch **Sequence**: Decomposition -> Tool Use -> Memory Read ../agentic/agentic-task-decomposition.md # Plan the agent's task handling Read ../agentic/agentic-tool-use.md # Implement tool execution Read ../agentic/agentic-memory.md # Add context management ### Adding Tool Use to an Agent **Sequence**: Tool Use -> Decomposition Read ../agentic/agentic-tool-use.md # Tool calling patterns Read ../agentic/agentic-task-decomposition.md # Multi-tool task planning ### Scaling Agent Sessions **Sequence**: Memory -> Decomposition Read ../agentic/agentic-memory.md # Context management Read ../agentic/agentic-task-decomposition.md # Context-bounded task sizing ### Complete Agentic Stack **Full implementation**: # 1. Planning layer Read ../agentic/agentic-task-decomposition.md # 2. Execution layer Read ../agentic/agentic-tool-use.md # 3. Memory layer Read ../agentic/agentic-memory.md ## Skill Selection Guide **Choose task decomposition when:** - Complex goal needs breaking into steps - Tasks have dependencies or ordering constraints - Need to handle ambiguous requirements - Building a planning layer for an agent **Choose tool use when:** - Implementing function calling in an LLM agent - Debugging tool call failures or inefficiency - Designing tool schemas and structured outputs - Optimizing multi-tool workflows **Choose memory when:** - Agent sessions are hitting context limits - Need to persist state across turns or sessions - Building multi-turn conversational agents - Implementing retrieval-augmented generation ## Integration with Other Skills Agentic skills commonly combine with: **API skills** (`discover-api`): - Agents that call REST/GraphQL APIs - Tool schemas for API endpoints - Authentication handling in agent workflows **Testing skills** (`discover-testing`): - Testing agent behaviors and tool use - Autonomous test generation - Verifying agent task completion **Database skills** (`discover-database`): - Database-backed agent memory - Agents that query and modify data - Persistent state management **Infrastructure skills** (`discover-infra`, `discover-cloud`): - Deploying agent systems - Scaling agent workloads - Cost optimization for LLM calls ## Usage Instructions 1. **Auto-activation**: This skill loads automatically when Claude Code detects agentic workflow tasks 2. **Browse skills**: Run `Read ../agentic/INDEX.md` for full category overview 3. **Load specific skills**: Use commands above to load individual skills 4. **Follow workflows**: Use recommended sequences for common agentic patterns 5. **Combine skills**: Load multiple skills for comprehensive coverage ## Progressive Loading This gateway skill (~200 lines, ~2K tokens) enables progressive loading: - **Level 1**: Gateway loads automatically (you're here now) - **Level 2**: Load category INDEX.md (~3K tokens) for full overview - **Level 3**: Load specific skills (~2-3K tokens each) as needed Total context: 2K + 3K + skill(s) = 5-10K tokens vs 12K+ for entire category. ## Quick Start Examples **"Build an autonomous coding agent"**: Read ../agentic/agentic-task-decomposition.md **"How should my agent call tools?"**: Read ../agentic/agentic-tool-use.md **"My agent is running out of context"**: Read ../agentic/agentic-memory.md **Next Steps**: Run `Read ../agentic/INDEX.md` to see full category details, or load specific skills using the commands above.
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