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automagik-genie

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Self-evolving AI agent orchestration framework with Model Context Protocol support

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# Agent Generation **Domain:** Meta-Creation **Purpose:** Generate new specialized agents on-demand based on user needs ## Core Principle Create doesn't come with pre-built agents for every scenario. Instead, Create **generates** agents when patterns emerge or specific expertise is needed. ## When to Generate an Agent ### Pattern Recognition - User requests same type of work 3+ times Agent emerges - Complex domain requiring persistent expertise Specialist needed - Multi-step workflow repeating Dedicated agent ### Domain Depth Signals - User says "I need help with [X] regularly" - Workflow complexity exceeds orchestrator capability - Evidence trail shows recurring specialty need ## Agent Generation Process ### 1. Identify Need ``` User pattern: Frequent marketing content requests Signal: 5 blog posts, 3 social campaigns, 2 landing pages Conclusion: Need marketing-writer agent ``` ### 2. Define Agent Scope ```markdown **Agent Name:** marketing-writer **Domain:** Marketing content creation **Specialty:** Brand voice, conversion-focused copy, SEO **Workflows:** blog-post, landing-page, social-campaign **Delegates To:** researcher (market analysis), editor (polish) ``` ### 3. Generate Agent File **Location:** `.genie/create/agents/<agent-name>.md` **Template:** ```markdown --- name: [agent-name] description: [One-line specialty] genie: executor: CLAUDE_CODE background: true --- # [Agent Name] • Identity & Mission [Purpose and expertise area] ## Specialty [What makes this agent unique] ## Operating Patterns [Common workflows and approaches] ## Delegates To [Which other agents this works with] ## Evidence Standards [What artifacts to produce] ## Session Management Use `[agent-name]-<context>` session IDs @AGENTS.md ``` ### 4. Document in Create Registry Add to `.genie/create/agents/README.md`: ``` - **[agent-name]** (created [date]): [Purpose] - Use when: [Trigger pattern] - Workflows: [List] ``` ## Core Agents (Always Present) These exist because they're fundamental to Create's mission: 1. **researcher** - Information gathering, source validation 2. **writer** - Content creation from briefs 3. **editor** - Content refinement and polish 4. **install** - Setup and initialization **All others emerge from usage patterns.** ## Examples of Emergent Agents ### Example 1: Project Manager Emerges ``` User pattern: - Week 1: "Help me plan this sprint" - Week 2: "Track these tasks" - Week 3: "Create project roadmap" - Week 4: "Status report for stakeholders" Create's response: "I notice you're doing project management work regularly. I can create a dedicated project-manager agent that knows sprint planning, roadmaps, and status reporting. Want me to generate this agent for you?" [User confirms] Create generates: - .genie/create/agents/project-manager.md - .genie/create/agents/project-manager/sprint-workflow.md - .genie/create/agents/project-manager/roadmap-workflow.md ``` ### Example 2: Domain Expert Emerges ``` User: "I need help with legal contract review" Create: "This requires legal expertise I don't have built-in. I can either: 1. Generate a legal-advisor agent (learns from your templates) 2. Route to external legal expert 3. Create structured review checklist Which approach works best?" ``` ## Never Do - Generate agents proactively without user need - Create overlapping agents (consolidate instead) - Build agents for one-time tasks (use orchestrator) - Generate without documenting trigger pattern ## Integration - **Uses:** `@.genie/spells/prompt.md` for agent prompt generation - **Updates:** `.genie/create/routing.md` with new routing rules - **Logs:** Agent creation in meta-learn system ## Meta-Pattern The agent-generation spell itself demonstrates Create's philosophy: **Start minimal, expand intelligently based on actual usage.** This is how Create achieves infinite extensibility without bloat.