AI & ML

mahabdalla Skill

Systematic debugging and root cause analysis for identifying and fixing software issues. Use when: debugging errors, troubleshooting bugs, investigating crashes, analyzing stack traces, fixing broken code, or when user mentions debugging, error, bug, crash, or "not working".

mahabdalla Skill

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

mahabdalla Skill

Complete guide for building MCP servers with FastMCP 3.0 - tools, resources, authentication, providers, middleware, and deployment. Use when creating Python MCP servers or integrating AI models with external tools and data.

mahabdalla Skill

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, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

mahabdalla Skill

Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.

mahabdalla Skill

Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).

brijoobopanna Bundle

Make Claude Code sessions compound — every session builds on the last instead of starting from scratch. Implements Karpathy's LLM Wiki pattern for software engineering. Use this skill when starting a new project, onboarding to an existing codebase, or any time the user says "set up my project", "add project memory", "create CLAUDE.md", "help me structure this project", "I keep re-explaining things to Claude", "my sessions don't remember anything", "ingest this document", or "run a health check". Also trigger when the user asks about session efficiency, token usage, or wants to improve their Claude Code workflow. This skill creates and maintains a three-layer knowledge system — raw sources, an interlinked wiki, and a schema that governs it all — plus metrics to prove it works.

shahar84 Bundle

Create high-quality image generation prompts optimized for the Nano Banana Pro model (Google Gemini image generation). Use this skill whenever the user wants to generate an image with Nano Banana Pro, needs a prompt for Nano Banana, asks for help writing an image prompt, says things like "תעזור לי לכתוב פרומפט", "create a prompt for", "generate a Nano Banana prompt", "I want to make an image of", "help me prompt", or pastes content (article, script, podcast episode) and wants a visual / cover image for it. Also trigger when the user uploads an image and describes a change they want ("make it more cinematic", "change the style to watercolor", "make the background a cafe"). Always use this skill even if the request seems simple - the skill adds significant value by applying Nano Banana Pro-specific patterns.

mahabdalla Skill

Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

mahabdalla Skill

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

coffeegrind123 Bundle

Validate and fix an Agent Skill against the spec. Checks frontmatter, naming, description quality, step structure, success criteria, tool patterns, and token budget. Use when a skill needs cleanup, after editing a SKILL.md, when a skill isn't triggering correctly, or to keep a self-modifying skill in check.

redhat-et Bundle

Deploys OPA Gatekeeper policies for NIST SP 800-53 compliance following ch-stark/gatekeeper-examples patterns. Adds NIST control labels and annotations to all constraints for compliance tracking.

redhat-et Bundle

Automates OPA Gatekeeper integration with RHACM following ch-stark/gatekeeper-examples. Reads cluster version via MCP, compares gatekeeper-library policies against OpenShift SCCs, and generates optimized PolicyGenerator with SCC-filtered library inclusion.

mahabdalla Skill

You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur

mahabdalla Skill

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

douglasrao Skill

Active Directory penetration testing report generation skill. Activate when the user wants to write, generate, or finalize a report for an AD pentest engagement. Consolidates outputs from ad-recon, ad-exploitation, and ad-postexploitation skills into a structured technical and executive report. Produces findings in standardized format (name, criticality, CVSS, description, impact, recommendation, evidence). Default mode: combined technical + executive. Publishes to Notion via MCP when available.

bhaumikmaan Bundle

Create reusable skills and agent configurations through structured interview and template generation. Covers SKILL.md authoring, agent persona design, and structured output contracts. Use when creating a new skill, designing an agent, capturing a repeatable process, or when asked to "skillify" a workflow.

douglasrao Skill

Web penetration testing report generation skill. Activate when the user wants to write, generate, or finalize a report for a web pentest or bug bounty engagement. Consolidates outputs from web-recon, web-exploitation, and web-postexploitation skills into a structured technical and executive report. Produces findings in standardized format (name, criticality, CVSS, description, impact, recommendation, evidence). Default mode: combined technical + executive report. Publishes to Notion via MCP when available.

yamsfeer Bundle

用于 AI 代理的无头浏览器自动化 CLI。当 Claude 需要自动化网页浏览任务时使用，如导航页面、点击元素、填写表单、截取屏幕截图、提取内容或与 Web 应用程序交互。支持基于引用的元素选择、语义定位器和通过 Playwright 的程序化控制。

noah-zll Skill

Navigation mesh operations. Use when users want to bake NavMesh or calculate paths for AI navigation. Triggers: navmesh, navigation, pathfinding, bake, AI, agent, obstacle, 导航网格, 寻路, 烘焙.

noah-zll Skill

Asset import settings. Use when users want to configure texture, audio, or model import settings. Triggers: import settings, texture settings, audio settings, model settings, compression, max size, 导入设置, 纹理设置, Unity压缩.

gustavo-gardusi Skill

Execute `.cursor/research-plan.md` after confirmation in Plan mode, then switch to Agent mode.

museon-ai Skill

Run OpenAI Codex CLI code reviews from your AI coding agent. Supports reviewing uncommitted changes, branch diffs, and specific commits with optional focus prompts.

5donghwan Bundle

Write and audit cryptographic protocol proofs and theorem drafts. Use when checking soundness, knowledge soundness, zero-knowledge, Fiat-Shamir security, extractor or simulator design, hidden model assumptions, reduction structure, bad-event bookkeeping, or theorem/proof overclaim.

youngfreefjs Bundle

Tests and scores any Agent Skill against the official anthropics/skills specification. Use this skill when you need to check if a skill repository or SKILL.md file is compliant with the Agent Skills standard, audit skill quality, get a compliance score, or receive specific improvement suggestions. Trigger when users say things like "check my skill", "test this skill", "does my skill follow the spec", "score my skill", "review my SKILL.md", "is my skill correct", "检查我的skill", "测试这个skill", "这个skill符合规范吗", "给我的skill打分", or when they provide a path to a skill directory or SKILL.md file and want it reviewed.

yog-sotho Bundle

Anthropic Claude API patterns for Python and TypeScript. Covers the Messages API, streaming, tool use, vision, PDF input, extended thinking, prompt caching, batches, token counting, structured outputs, and agentic loops. Always activate when the user is building with the Claude API or Anthropic SDKs, code imports `anthropic` or `@anthropic-ai/sdk`, or the user asks about tool use, streaming, cost optimization, model selection, or any Anthropic API pattern — even if they don't use the word "API".

tashangkd Bundle

AI工程师角色。关键词：AI/LLM/智能体/Prompt/上下文工程/多智能体/工作流/RAG/Function Call/效果评测。激活后设计提示词、构建智能体调用链、评测输出质量。

yog-sotho Bundle

Production-ready patterns for building LLM applications — RAG pipelines, agent architectures, prompt engineering, caching, observability, and LLMOps. Always activate when the user is designing an LLM-powered application, implementing RAG or retrieval, building agents with tools, setting up LLMOps monitoring, choosing between agent architectures, or asking about prompt chaining, caching, evaluation, or streaming LLM responses. Also activate when the user asks about prompt injection, model fallback, cost optimization, or embedding model selection.

yog-sotho Skill

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Always activate when the user is writing PyTorch models or training scripts, reviewing deep learning code, debugging training loops or data pipelines, optimizing GPU memory or training speed, setting up reproducible experiments, implementing transfer learning or fine-tuning, or asks anything about nn.Module, DataLoader, autograd, AMP, or torch.compile.

yog-sotho Bundle

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically, or says things like "build a bot that checks...", "monitor X for me", "collect data from...", or "alert me when...".

yog-sotho Skill

Regression testing strategies specifically for AI-assisted development, where the same model writes and reviews code — creating systematic blind spots that only automated tests can catch. Always activate when an AI agent (Claude Code, Cursor, Codex) has modified backend logic or API routes, a bug was found and fixed, sandbox/production path parity needs verification, a bug-check or review command is being run, or the user asks how to prevent AI-introduced regressions. Also activate when the user reports a bug was "fixed" but keeps coming back.

yog-sotho Skill

Add, import, and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing benchmark scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval/inspect-ai on HF Jobs or locally. Works with the model-index metadata format for leaderboard and Papers with Code integration. Always activate when the user mentions HF model card evaluation, benchmark scores, model-index YAML, evaluation results, leaderboard submission, Artificial Analysis benchmarks, lighteval, inspect-ai, running evals on HF Jobs, or adding eval metrics to a model card — even if they don't say "skill".

yog-sotho Skill

Enables the assistant to continuously improve by reflecting on tasks, recording mistakes, and retrieving past learnings before solving similar problems. Use this skill when a task fails or produces an error, when the user corrects the assistant, when a better solution is discovered mid-task, when an API or tool behaves unexpectedly, when a repeated workflow could be optimized, or whenever a non-obvious solution is found that is worth remembering. Trigger proactively — before complex tasks, check for relevant past learnings; after complex tasks, check if a learning entry should be recorded.

harakeishi Skill

Generate a security and health report for your domains. DNS configuration checks (SPF/DMARC/CAA/DNSSEC), subdomain takeover detection, and lookalike domain monitoring (typosquatting/homograph attacks). Triggers on "domain report", "domain audit", "DNS health", "domain security"

namds29 Skill

NestJS Clean Architecture Skill

sourav15mukherjee Bundle

Help users craft optimized AI prompts. Use when the user asks to write a prompt, improve a prompt, create a system message, build few-shot examples, or optimize LLM instructions for any AI model (OpenAI, Anthropic, open-source).