model-extraction
Techniques to extract model weights, architecture, and training data through API queries
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Techniques to extract model weights, architecture, and training data through API queries
Master prompt injection attacks, jailbreak techniques, input manipulation, and payload crafting for LLM security testing
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
Delegate user perspective reviews to GPT-5.2 Reviewer agent. Use when (1) Feature implementation is complete and needs UX validation, (2) User asks to create a pull request (review before PR), (3) User explicit...
Delegate simple, fast tasks to GPT-5-mini Quick-Helper agent. Use when (1) Simple file operations needed (finding files, listing directories, basic grep), (2) Quick validations required (file existence, JSON va...
Monitor and analyze narrative API logs from Google Cloud Run. Use when (1) Investigating Cloud Run API errors or failures, (2) Analyzing API usage costs and optimizing spend, (3) Measuring scenario generation p...
Prepare for customer meetings by aggregating context from multiple data sources. Invoked with /prep-meetings.
Template for creating API integration skills. Copy and customize for your specific API.
Draft Slack messages with appropriate tone. Use when writing messages to teammates or customers over Slack.
Research solutions, algorithms, and best practices from the SurrealDB GraphRAG knowledge base containing 600+ scientific papers, StackOverflow answers, and GitHub repositories.
Coordinate parallel agent execution for complex multi-step tasks using background agents and delegation patterns.
Explore problem spaces, generate options, and challenge assumptions. Use when the user is uncertain what to build, exploring possibilities, needs help prioritizing roadmap items, or says things like "I'm not su...
Generates three project-specific behavioral mode skills (planner, debugger, qa-tester) from project memories and bundled templates, and makes them selectable via switching-modes. Use when creating project-local...
Records session learnings and decisions before context compaction. Use before ending a long session or when the user asks to save session notes.
Learn from session corrections and update AI configuration files. USE WHEN user says 'reflect', 'learn from this', 'remember this', 'teach you', 'update skills', OR user wants to persist corrections, prevent re...
Expert in building backend features with Next.js server actions, Drizzle ORM models, database operations, and the many-first design pattern. Use when creating or modifying server actions, database models, schem...
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices
Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures
Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.