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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,390 技能

Self-referential loop until task completion with architect verification

Iterative planning with Planner, Architect, and Critic until consensus

Orchestrate parallel scientist agents for comprehensive research with AUTO mode

Manage local skills - list, add, remove, search, edit

N coordinated agents on shared task list with SQLite-based atomic claiming

Test-Driven Development enforcement skill - write tests first, always

QA cycling workflow - test, verify, fix, repeat until goal met

Activate maximum performance mode with parallel agent orchestration for high-throughput task completion

Agentic memory system for writers - track characters, relationships, scenes, and themes

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Agentica server + Claude proxy setup - architecture, startup sequence, debugging