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The global registry for Agent Skills. Ship standardized SKILL.md packages to your AI agents in seconds.
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Process 流水线核心模块架构总览，涵盖流水线 CRUD、构建执行引擎、事件驱动机制、分层架构设计。当用户开发流水线核心功能、理解 Process 模块、修改构建逻辑或进行流水线相关开发时使用。
流水线模板模块架构指南，涵盖模板创建、版本管理、实例化、权限控制、研发商店集成。当用户需要开发模板功能、实现模板复用、管理模板版本或进行批量实例化时使用。
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Setup hybrid routing with native screen transitions in WebF - configure navigation using WebF routing instead of SPA routing. Use when setting up navigation, implementing multi-screen apps, or when react-router-dom/vue-router doesn't work as expected...
OneKey monorepo architecture and code organization. Use when understanding project structure, package relationships, import rules, or component organization. Triggers on architecture, structure, packages, imports, hierarchy, dependencies, monorepo, o...
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.
Creating and editing decision records (ADRs for architecture, PDRs for product/upstream)
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
This guide explains how to port new UI components from the R bslib package to py-shiny. It assumes you're an experienced developer familiar with Python, R, and JavaScript/TypeScript, but may be new to the specifics of these repositories.
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guideli...
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4),...
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or pe...
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in ...
Install and configure the Flowglad SDK for Next.js, Express, and React applications. Use this skill when adding billing to an app, setting up Flowglad for the first time, or configuring SDK providers and route handlers.
CLI output formatting standards for worktrunk. Use when writing user-facing messages, error handling, progress output, hints, warnings, or working with the output system.
Iterative root-cause + fix agent workflow that gathers evidence (code/logs/tests/web), verifies the primary ROOT_CAUSE claim with Strawberry's detect_hallucination/audit_trace_budget, implements a fix, runs a test plan, checks for new failure modes, ...
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and Data...
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