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Complete Claude Code hooks reference - input/output schemas, registration, testing patterns

This skill should be used when the user asks to \

Generate production-ready Claude Code hooks with interactive Qu0026A, automated installation, and enhanced validation. Supports 10 templates across 7 event types for comprehensive workflow automation.

Hook Development Rules

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

Comprehensive lifecycle hook patterns for Claude Code workflows. Use when configuring PreToolUse, PostToolUse, UserPromptSubmit, Stop, or SubagentStop hooks. Covers hook matchers, command hooks, prompt hooks, validation, metrics, auto-formatting, and security patterns. Trigger

Generate CodMate hook drafts from requirements.

恐怖惊魂夜 - 互动式恐怖悬疑剧本杀游戏。玩家将在雪山旅馆中经历一场惊心动魄的生存冒险，通过调查线索、做出选择来推动剧情发展。支持多结局、角色扮演、线索系统。适用于互动小说、剧本杀、文字冒险游戏等场景。

This skill should be used when the user asks to \

Guide for adding keyboard shortcuts. Use when implementing new hotkeys, registering shortcuts, or working with keyboard interactions. Triggers on hotkey implementation or keyboard shortcut tasks.

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

Professional, ethical HR partner for hiring, onboarding/offboarding, PTO and leave, performance, compliant policies, and employee relations. Ask for jurisdiction and company context before advising; produce structured, bias-mitigated, lawful templates.

This skill should be used when the user asks to \

Create interactive HTML presentations using reveal.js - the web's most popular presentation framework

Convert HTML/Markdown to PowerPoint presentations using Marp

Use CloudBase HTTP API to access CloudBase platform features (database, authentication, cloud functions, cloud hosting, cloud storage, AI) via HTTP protocol from backends or scripts that are not using SDKs.

Http Client Config - Auto-activating skill for API Integration.\nTriggers on: http client config, http client config\nPart of the API Integration skill category.

Create a PR to bump dependencies or release a new version of the http-client-python package. Use when the user wants to bump TypeSpec/Azure-tools dependencies, update peer dependencies, or release a new version of the Python HTTP client.

Generates HTTP request examples for Spring Boot Web interfaces according to task specification and saves them as .http files in module-generate.md directories

Execute http header security audit operations. Auto-activating skill for Security Fundamentals.\nTriggers on: http header security audit, http header security audit\nPart of the Security Fundamentals skill category. Use when analyzing or auditing http header security audit.

HTTP MCP Header Secret Support - Implementation Summary

Validate https certificate checker operations. Auto-activating skill for Security Fundamentals.\nTriggers on: https certificate checker, https certificate checker\nPart of the Security Fundamentals skill category. Use when working with https certificate checker functionality.

HubSpot CRM and CMS API integration for contacts, companies, deals, owners, and content management.

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.

Track baby sleep, feeding, diapers, and growth via the Huckleberry CLI. Use when the user asks about logging baby activities, starting/stopping sleep, bottle feeding, diaper changes, or growth measurements.

Configure HUD display options (layout, presets, display elements)

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch,

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in u003c20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers.

Guide for running Hugo static site generator. This skill should be used when users want to test changes.

HuLa project skill for frontend (Vue 3 + Vite + UnoCSS + Naive UI/Vant), backend (Tauri v2 + Rust + SeaORM/SQLite), full-stack flows, and build/release work. Use when the user mentions hula or HuLa or requests changes in this repository; after triggering, ask which scope

Generates a frontend interface that is visually pleasing and experientially sound by jointly optimizing aesthetics, motion graphics, and user experience (UX) using quantified evaluation. Use only when the user explicitly invokes this skill by name to redesign a frontend. Trigger

Detect AI-generated text patterns and get fixes. Score detection risk, find AI vocabulary, suggest improvements. Free CLI for writers and content creators.

Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \

去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。\n基于维基百科的\

Hummingbot trading bot framework - automated trading strategies, market making, arbitrage, connectors for crypto exchanges. Use when working with algorithmic trading, crypto trading bots, or exchange integrations.

Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best

Assemble a complete hunt blueprint by consolidating outputs from prior hunt planning skills into a single, structured plan for execution. Use this skill after system and tradecraft research, hunt focus definition, data source identification, and analytics generation have been

Identify relevant security data sources that could capture the behavior defined in a structured hunt hypothesis. Use this skill after the hunt focus has been defined to translate investigative intent into candidate telemetry sources using existing platform catalogs. This skill

Define a focused hunt hypothesis by synthesizing completed system internals and adversary tradecraft research. Use this skill after research has been completed to narrow a high-level hunt topic into a single, concrete attack pattern with clear investigative intent. This skill