AI Agent Skills

Typed tool contracts for autonomous research agents. Use when exposing files, search, databases, or execution tools to an LLM agent.

Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strat…

Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records,…

Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like mu…

Apply input minimisation, output discipline, and a human-in-the-loop gate to every surface that sends data to an LLM. Triggers when building or editing any send-to-LLM p…

Analyzes and generates llms.txt files -- a lightweight anti-hallucination facts hedge that tells AI systems your canonical business facts and key pages. NOT an AI-visibi…

Gestion avancée du contexte pour agents IA — fenêtre de contexte, compression, RAG dynamique, sliding window, prompt caching. Se déclenche avec "context window", "contex…

OMK（Observe. Measure. Know.）让 AI 应用的知识改动有据可依。观测真实表现，受控测量 prompt / RAG / skill / agent / workflow 的版本差异，判断改动是否有效、版本能否发布，并支持自动迭代改进。 Use when: 用户提到"评测"、"测评"、"eval"、"benchma…

RAG answerer that only answers from supplied context.

AI features you ship to users: structured output, tool schemas, prompt injection, evals. Use when "the model returns bad JSON", "it hallucinates", "stop it call

跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果，需要快速迁移到新版本时使用。 适用场景：内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法：用 LLM 做结构化差异比对，程序化输入输出，成本极低（200 函数 ~1 元）。 触发关键词：符号迁移、bindiff、跨版本、PDB 缺失、…

Run an arbitrary Hugging Face safetensors model on an Intel GPU using **upstream PyTorch** (>= 2.8) with the built-in `torch.xpu` device. Covers loading from the Hub, pi…

Review all prompts in a codebase for optimality, balancing effectiveness and token efficiency. Covers explicit prompt files, string-literal prompts, and dynamic

llm-wiki style broadcast ingest — conversational update of related existing pages when a Raw has been distilled. Use when the user says "broadcast", "跑 broadcast", "comp…

Monitor brand reputation and sentiment across Twitter/X, Reddit, Instagram, YouTube, and LinkedIn using anysite MCP server. Track brand mentions, analyze customer sentim…

How to use the anysite MCP server effectively - the meta-tools (discover, execute, get_page, query_cache, export_data, search_requests, merge_data with join_on enrichmen…