Skill UI

Comprehensive skill for managing the KubeSphere ServiceMesh extension, integrating Istio, Kiali, and Jaeger. It provides full lifecycle management, including installation, uninstallation, and detailed status checking. Users can define advanced traffic governance policies (like canary or blue-green deployments) and troubleshoot microservice connectivity, utilizing features such as traffic mirroring and circuit breaking for composed applications.

A utility for managing and installing specialized AI skills into the Codex environment. It supports fetching curated skills from predefined sources (like openai/skills) or installing custom capabilities directly from any GitHub repository, including private ones. It handles listing available skills, installing specific modules, and provides robust fallback methods (download/git sparse checkout).

Build with and use Pi, a minimal terminal coding harness. Covers install, provider and model config, TypeScript extensions, skills, packages, themes, SDK embedding, RPC and JSON event streams, session parsing, local llama.cpp models, custom providers, TUI components, and ecosystem packages like pi-subagents and pi-mcp-adapter.

This skill allows users to mine their extensive coding history across various AI agents (Claude, Codex, Gemini, etc.) into a persistent, structured corpus. It surfaces reproducible workflows as evidence and interactively helps the user forge these past practices into reusable, installed skills across their agent ecosystem. It is designed to synthesize judgment from raw transcripts into actionable, portable skills.

This comprehensive guide walks new engineers through setting up a complete local development environment from scratch. It covers all necessary prerequisites, including installing required tools (Git, Docker, Go, etc.), cloning repositories, configuring environment variables, and running initial tests. The goal is to ensure a consistent, working environment and allow new team members to start contributing code quickly and confidently.

Install and run kube-bench to audit Kubernetes against the CIS Benchmark. Supports standalone, container, Job, or DaemonSet modes; auto-selects benchmark version and scans control plane, etcd, kubelet, nodes, and policies. Outputs text, JSON, JUnit, or ASFF for CI pipelines and compliance.

Deploy and operate Falco with the modern eBPF driver in Kubernetes and Docker. Covers driver selection, Helm installation, output channels, and the built-in ruleset that detects container escape, namespace abuse, privileged mounts, and anomalous syscalls. Ideal for enabling runtime security, routing alerts to SIEM or Falcosidekick, and upgrading existing deployments.

A critical security tool for detecting typosquatted, brandjacked, or misspelled packages across major registries (npm, PyPI, crates.io). It uses advanced techniques like edit-distance and corpus matching to proactively screen dependency names before installation. Ideal for implementing CI/CD gates, auditing lockfile diffs, or reviewing dependency lists sourced from AI models to mitigate supply chain attacks.

Utilize this skill to assess the health, adoption, and performance metrics of published EAS Updates directly via the CLI. It reports critical data points including crash rates, unique user counts, install volumes, payload size, and the split between embedded and OTA users, making it essential for post-publish monitoring and regression detection.

This skill serves as the central configuration manager for AI agent projects, defining the single source-of-truth for all capabilities (skills, tools, servers, rules, plugins). It guides users through the entire system lifecycle using the `capa` CLI, covering installation, schema definition, secret management, and advanced troubleshooting. Use this skill whenever setting up, modifying, or troubleshooting project capabilities.

This skill guides users through complex, multi-step processes such as installation, configuration, or initial setup. It breaks down the process into small, atomic actions, presenting only the current required step and a limited, manageable checklist of remaining tasks. Ideal for onboarding new users or executing lengthy technical setups.

This skill acts as a critical reality-check layer before code generation. It ensures that every function call, import, method, and variable the agent uses is provably available in the user's specific installed environment and version. It prevents runtime bugs caused by hallucinated or improperly assumed APIs, making the generated code robust and reliable.