Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
567 skills found
Comprehensive toolkit for graph creation, network analysis, and visualization in Python. Ideal for analyzing relationships, centrality, community detection, and synthetic network generation across diverse research domains.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Design and implement microinteractions, motion design, and transitions. Use to add UI polish, define loading states, and create delightful, intuitive user feedback patterns.
Expert development guide for the Jean Claude orchestration framework. Use for source code changes, architecture, testing, and debugging.
Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Development guide for Arma Reforger EnforceScript, covering component architecture, network replication, persistence, and memory management.
A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.
Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.
Generate production-ready Stigmer McpServer YAML configurations for integrating external tools into your AI agents.