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testing security llm ai AI Skills

Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.

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GitHub

speculative-decoding

davila7

Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications...

☆ 18,938View skill
GitHub

mlflow

davila7

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

☆ 18,938View skill
GitHub

guidance

davila7

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation frame...

☆ 18,938View skill
GitHub

scientific-brainstorming

davila7

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

☆ 18,938View skill
GitHub

notion-meeting-intelligence

davila7

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

☆ 18,938View skill
GitHub

autogpt-agents

davila7

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

☆ 18,938View skill
GitHub

weights-and-biases

davila7

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

☆ 18,938View skill
GitHub

training-llms-megatron

davila7

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or requ...

☆ 18,938View skill
GitHub

qdrant-vector-search

davila7

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector st...

☆ 18,938View skill
GitHub

serving-llms-vllm

davila7

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory....

☆ 18,938View skill
GitHub

stable-baselines3

davila7

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vec...

☆ 18,938View skill
GitHub

openai-knowledge

openai

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, e...

☆ 18,577View skill
GitHub

agent-builder

shareAI-lab

Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous...

☆ 17,842View skill
GitHub

mcp-builder

shareAI-lab

Build MCP (Model Context Protocol) servers that give Claude new capabilities. Use when user wants to create an MCP server, add tools to Claude, or integrate external services.

☆ 17,841View skill
GitHub

browser

ruvnet

Web browser automation with AI-optimized snapshots for claude-flow agents

☆ 17,841View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 15,307View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 15,307View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 15,307View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 15,307View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 14,982View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 14,982View skill
GitHub

planning-with-files

OthmanAdi

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

☆ 14,982View skill
GitHub

handoff

steveyegge

Hand off to a fresh Claude session. Use when context is full, you've finished a logical chunk of work, or need a fresh perspective. Work continues from hook.

☆ 14,884View skill

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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