Download

Skill UI

Browse and discover 18950+ curated skills

All Development Artificial Intelligence Design & Creative Product & Business Data Science Marketing Soft Skills Productivity Engineering Languages

Search AI , found 10189 results

Default Newest Most Downloaded

Azure AI Agent Framework

agent-framework-azure-ai-py

sickn33/agentic-awesome-skills

Build persistent AI agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK, with function tools, hosted tools, streaming, threads, and structured outputs.

Agent Harness Fault Injection

agent-harness-fault-injection

sickn33/agentic-awesome-skills

This skill enables deterministic fault injection testing for agent workflows to verify recovery mechanisms, state preservation, and safety boundaries. It generates fault matrices and event timelines to distinguish between recovered, contained, and unrecoverable failures without impacting production systems or real user data.

Agent Memory Recall and Save Rules

agent-memory-discipline

sickn33/agentic-awesome-skills

This skill establishes rules for AI agents to manage long-term memory effectively. It specifies when to recall past decisions before acting and when to save new decisions or corrections after tasks. It ensures consistency across sessions by preventing agents from forgetting preferences or repeating mistakes, working with any memory backend like files or MCP servers.

AI Agent Memory Management MCP

agent-memory-mcp

sickn33/agentic-awesome-skills

This MCP server provides a persistent and searchable memory bank for AI agents. It enables reading, writing, and searching long-term knowledge, architecture patterns, and decisions. The system syncs with project documentation and includes a standalone dashboard for visualization. Ideal for managing agent context and knowledge retention across complex workflows.

AI Agent Observability

agent-observability

sickn33/agentic-awesome-skills

Instrument AI agents with tracing, token metrics, latency, cost visibility, and PII redaction for reliability, debugging, and SLO monitoring.

Agent Performance Optimization Workflow

agent-orchestration-improve-agent

sickn33/agentic-awesome-skills

This skill enables systematic improvement of existing AI agents by analyzing performance metrics, identifying failure modes, and applying prompt engineering techniques. It involves establishing baselines, optimizing prompts through chain-of-thought and few-shot examples, refining role definitions, and validating changes through structured testing and A/B comparisons to ensure reliability and efficiency.

AI Agent Performance Optimization

agent-orchestration-multi-agent-optimize

sickn33/agentic-awesome-skills

This skill optimizes multi-agent systems through coordinated profiling, workload distribution, and cost-aware orchestration. It helps improve agent performance, throughput, and reliability by identifying bottlenecks, managing context windows, and reducing latency. Suitable for complex workflows requiring intelligent coordination and efficiency tracking across multiple AI agents.

Agent QA Debug Fix

agent-qa-debug-fix

sickn33/agentic-awesome-skills

This skill enables debugging and patching failed Agent QA runs using MCP evidence, artifacts, logs, and local code. It ensures defects are not hidden by rewriting tests. The process involves collecting evidence, classifying failures, inspecting local files, applying minimal changes, and verifying fixes through reruns. It supports self-healing of stale definitions while maintaining safety boundaries.

Agent QA Result Triage

agent-qa-result-triage

sickn33/agentic-awesome-skills

This skill classifies failed Agent QA runs by analyzing recorded evidence, artifacts, and logs. It determines failure categories, confidence levels, and suggests actionable next steps for debugging. It helps identify issues like timeouts, element not found, or infrastructure problems without guessing, ensuring accurate triage before fixing.

Agent Self-Scheduling and Orchestration

agent-self-scheduling

sickn33/agentic-awesome-skills

Provides comprehensive guidance on scheduling AI agent runs, covering external systems like cron and systemd, and built-in schedulers (e.g., Hermes). It details best practices for setting up recurring jobs, implementing heartbeat patterns, and avoiding common pitfalls like tight timers or state loss, ensuring reliable, scheduled automation.

Agent Squad Orchestrator

sickn33/agentic-awesome-skills

Main orchestrator agent that routes tasks across a specialized squad (analyst, architect, builder, reviewer, QA, DevOps). It keeps compressed summaries, stores full artifacts by reference, tracks project state, and conserves its context window.

Agent Tool Builder

agent-tool-builder

sickn33/agentic-awesome-skills

This skill focuses on designing tools for AI agents to interact with the world effectively. It covers schema design, JSON Schema best practices, error handling, and description writing to optimize LLM performance. Key aspects include validation, the emerging MCP standard, and understanding that tool descriptions are crucial for agent functionality.

Prev 1 2 3...756 757 758759760 761 762...848 849 850 Next

Language