diegosouzapw/awesome-omni-skill

diegosouzapw/awesome-omni-skill

Skill Claude Code

Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when enforcing a consistent agent workflow.

diegosouzapw/awesome-omni-skill

Skill Claude CodeCodex

Complete workflow for building, implementing, and testing goal-driven agents. Orchestrates building-agents- and testing-agent skills. Use when starting a new agent project, unsure which skill to use, or need end-to-end guidance.

diegosouzapw/awesome-omni-skill

Skill Claude CodeCodex

Imported skill agent from langchain.

diegosouzapw/awesome-omni-skill

Skill Claude CodeCodex

LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.

diegosouzapw/awesome-omni-skill

Skill Claude Code

Set up OpenRouter as your LLM provider. Guides through account creation, API key setup, config, and making it the default model. Use when a user wants to use OpenRouter models like Claude Sonnet 4.5.

diegosouzapw/awesome-omni-skill

Skill Claude CodeCodex

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

diegosouzapw/awesome-omni-skill

Skill Claude CodeCodex

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

diegosouzapw/awesome-omni-skill

Skill Claude CodeCodex

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.