SKILL.md files package domain expertise into something any AI agent can use. Drop one into your project and your agent learns how to process PDFs, design interfaces, write tests, or whatever the skill teaches.
1400 skills
Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas.
A local vector memory explorer with a modern UI inspired by Supabase and Pinecone. Browse, search, visualize and manage the SQLite-vec database created by MCP Memory Service . I'm a sysadmin by trade, not a developer. My coding background is some C++ from many years ago. I built memviz entirely through vibe coding with Claude Code as a way to test AI-assisted development workflows. The whole thing
Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple
English | 中文 kom 是一个用于 Kubernetes 操作的工具,相当于SDK级的kubectl、client-go的使用封装。 它提供了一系列功能来管理 Kubernetes 资源,包括创建、更新、删除和获取资源。这个项目支持多种 Kubernetes 资源类型的操作,并能够处理自定义资源定义(CRD)。 通过使用 kom,你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作,甚至可以使用SQL语句来查询、管理k8s资源。 1. 简单易用:kom 提供了丰富的功能,包括创建、更新、删除、获取、列表等,包括对内置资源以及CRD资源的操作。 2. 多集群支持:通过RegisterCluster,你可以轻松地管理多个 Kubernetes 集群,支持AWS EKS集群。 3. MCP支持:支持多集群的MCP管理,同时支持stdio、sse两种模式,内置58种工具,支
Configures the analytics side of a PostHog experiment — exposure criteria (default `$feature_flag_called` vs custom exposure events), primary and secondary metrics, the supported metric types (count, sum, ratio with `math` and `math_property`, retention with `retention_window_start` and `start_handling`), multivariate user handling ("Exclude" vs "First seen variant"), and how to read results once the experiment is live. Use when the user adds or edits a primary or secondary metric (e.g.
Use when executing implementation plans with independent tasks in the current session
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Practitioner-focused workflows for running, validating, and packaging reproducible open AI governance studies. This repository contains execution pipelines, source artifacts, and validation gates for reproducible governance reports. Every headline finding is expected to map to: - a versioned artifact - a deterministic query in the claims ledger - a reproducible execution path in pipelines/ Use thi
English | 中文 Zero-dependency MCP memory server for AI agents — persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code — commit it to git or add it to .gitignore. Switch branches; memory follows the dire
Diagnoses bias, anomalies, and strange-looking results on a specific PostHog experiment. Covers empty / 0-exposure experiments, sample ratio mismatch, identity fragmentation, multi-variant exposure, uneven-split exclusion bias, significance traps (peeking, A/A, Bayesian vs Frequentist), PostHog-vs-SQL discrepancies, and surprises after mid-run edits. Symptom-driven dispatch to the right diagnostic.\nTRIGGER when: user asks 'is my experiment biased?' or 'why 0 exposures?
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Statically check Codex and Claude Code hook configuration for unsupported events, skipped handlers, portability problems, and schema errors.
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, a
Manage Linear issues, projects, and teams
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface. - List all projects - Get project details - Create new projects - Delete projects - Retrieve project API keys - List all organizations - Get organization details - Creat
This skill should be used when the user asks to "test for broken authentication vulnerabilities", "assess session management security", "perform credential stuffing tests", "evaluate password policies", "test for session fixation", or "identify authentication bypass flaws". It provides comprehensive techniques for identifying authentication and session management weaknesses in web applications.