saving-codeacts
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
560 skills found
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.
Guidance for creating and integrating new ECS components, including class design, JSON serialization, custom editor UI implementation, and DI registration.
Scans Solana programs (native/Anchor) for 6 critical vulnerabilities, including arbitrary CPI, improper PDA validation, and missing ownership checks, providing detailed fix recommendations.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
A nested plugin architecture for Claude Code that optimizes context by dynamically loading playbooks, skills, and agents to save over 90% in token usage.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
A project-specific template skill for maintaining architectural consistency, coding standards, and deployment workflows in AI-powered full-stack applications.
A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.
Official MoonBit language reference, syntax guide, and coding conventions for building high-performance software projects.
Generate comprehensive instructions for AI agents to operate the Taskery local Kanban board, including CLI, API, and concurrency management.