Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

auto-memory

This skill should be used when the user asks to 'set up memory', 'create memory files', 'create MEMORY.md', 'set up topic files', 'improve memory organization', 'what should I remember', 'how to structure memory files', 'MEMORY.md is too long', 'what goes in memory vs topic files', 'memory best practices', or wants to establish a persistent knowledge base across Claude Code sessions. Triggers on: memory setup, MEMORY.md, topic files, cross-session knowledge, persistent notes, memory maintenance, memory pruning.

2.09k repo starsObserved in 1 repos

Agent Building

GitHub

general-prompt-engineer

create, repair, compress, and optimize prompts, system messages, tool instructions, schemas, and eval rubrics for general tasks across writing, research, coding, analysis, planning, tutoring, automation, and agent workflows. use when the user wants a new prompt, wants an existing prompt improved, wants prompt failures debugged, or needs better structure for grounding, tool use, output format, or reliability.

2.08k repo starsObserved in 1 repos

Agent Building

GitHub

self-improve-with-tinyfish

Enables Hermes to create new reusable skills for itself by researching live web sources with TinyFish Search and Fetch, analyzing source coverage, writing SKILL.md files, and installing them into Hermes memory. Use when the user asks Hermes to learn, teach itself, upgrade itself, or save a reusable capability.

2.08k repo starsObserved in 1 repos

Agent Building

GitHub

mcp-inspector

Interpret and use `mcpjam` probe, doctor, OAuth, XAA (Cross-App Access / ID-JAG), apps conformance, tools, resources, and prompts output conservatively against MCP 2025-11-25. Use when interacting with MCP servers, executing tools, triaging findings, performing security reviews, debugging enterprise-managed authorization, deciding whether a CLI finding is real or overstated, or turning inspection output into an engineer-facing report with severity and confidence.

2.07k repo starsObserved in 1 repos

Agent Building

GitHub

copilotkit-nextjs-integration

Integrate CopilotKit AI components into Next.js frontend for building agentic UIs. Enables context-aware AI agents that can read app state and trigger tools/actions. Supports custom adapters for self-hosted LLMs and multiple provider integrations.

2.04k repo starsObserved in 2 repos

Agent Building

GitHub

superglue-integration-builder

Build and verify Superglue natural-language integrations. Use this skill when an agent is asked to plan, build, review, or verify Superglue workflows and needs plugin-specific acceptance criteria.

2.03k repo starsObserved in 1 repos

Agent Building

GitHub

advisor-workflow

Cost-and-speed-optimized development workflow for a cheap fast implementing model consulting expensive advisor subagents (design-advisor, principal-advisor, quality-reviewer). Use for design-bearing or high-risk implementation - new/changed public contracts, schemas, state/lifecycle, concurrency, security, persistence, compatibility - or after repeated failed attempts. Do not invoke for trivial edits or solely because a change touches multiple files.

2.03k repo starsObserved in 1 repos

Agent Building

GitHub

neuron-agent-builder

Create and configure Neuron AI agents with providers, tools, instructions, and memory. Use this skill whenever the user mentions building agents, creating AI assistants, setting up LLM-powered chat bots, configuring chat agents, or wants to create an agent that can talk, use tools, or handle conversations. Also trigger for any task involving agent configuration, provider setup, tool integration, or chat history management in Neuron AI.

2.02k repo starsObserved in 3 repos

Agent Building

GitHub

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving evaluator discovery, output configuration, result analysis, or building custom assertions.

2.02k repo starsObserved in 3 repos

Agent Building

GitHub

neuron-rag-specialist

Implement RAG (Retrieval-Augmented Generation) with Neuron AI including vector stores, embeddings providers, document loaders, and retrieval strategies. Use this skill whenever the user mentions RAG, retrieval, vector search, document retrieval, semantic search, knowledge bases, chat with documents, or wants to build AI systems that can query and understand external documents. Also trigger for tasks involving vector databases, embeddings, document chunking, or retrieval strategies.

2.02k repo starsObserved in 3 repos

Agent Building

GitHub