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Found 8,791 Skills
Implementation workflows for Frappe scheduled tasks and background jobs (v14/v15/v16). Covers hooks.py scheduler_events, frappe.enqueue, queue selection, job deduplication, and error handling. Triggers: how to schedule task, background job, cron job, async processing, queue selection, job deduplication, scheduler implementation.
Core LifeOS skill for research, synthesis, and Notion storage workflows
CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance.
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows.
This skill provides project-specific coding conventions, architectural principles, repository structure standards, testing patterns, and contribution guidelines for the better-chatbot project (https://github.com/cgoinglove/better-chatbot). Use this skill when contributing to or working with better-chatbot to understand the design philosophy and ensure code follows established patterns. Includes: API architecture deep-dive, three-tier tool system (MCP/Workflow/Default), component design patterns, database repository patterns, architectural principles (progressive enhancement, defensive programming, streaming-first), practical templates for adding features (tools, routes, repositories). Use when: working in better-chatbot repository, contributing features/fixes, understanding architectural decisions, following server action validators, implementing tools/workflows, setting up Playwright tests, adding API routes, designing database queries, building UI components, handling multi-AI provider integration Keywords: better-chatbot, chatbot contribution, better-chatbot standards, chatbot development, AI chatbot patterns, API architecture, three-tier tool system, repository pattern, progressive enhancement, defensive programming, streaming-first, compound component pattern, Next.js chatbot, Vercel AI SDK chatbot, MCP tools, workflow builder, server action validators, tool abstraction, DAG workflows, shared business logic, safe() wrapper, tool lifecycle
Robyn backend scaffolding and architecture guidance for projects using robyn-config. Use when creating or evolving Robyn services, choosing DDD vs MVC, choosing SQLAlchemy vs Tortoise, adding new entities/routes/repositories with robyn-config add, auditing Robyn backend quality, or authoring and improving skill markdown for Robyn engineering workflows.
Amazon Bedrock Model Customization with fine-tuning, continued pre-training, reinforcement fine-tuning (NEW 2025 - 66% accuracy gains), and distillation. Create customization jobs, monitor training, deploy custom models, and evaluate performance. Use when customizing Claude, Titan, or other Bedrock models for domain-specific tasks, adapting to proprietary data, improving accuracy on specialized workflows, or distilling large models to smaller ones.
Create evidence-based medical newsletters for interventional cardiologists in Eric Topol's authoritative Ground Truths style. Use when the user wants to analyze trending medical topics with engagement predictions, conduct data-driven topic selection, research medical literature using PubMed, or write comprehensive well-referenced newsletters that build professional authority. Handles complete workflow from trend analysis to final draft.
Write production-quality skills for Claude from scratch or improve existing ones. Use this skill whenever the user wants to author a SKILL.md, design a skill folder, write skill instructions, craft frontmatter descriptions, structure a multi-file skill, or get guidance on skill architecture and best practices. Also use when the user says "write a skill", "build a skill", "create a skill for X", "help me make a skill", "improve this skill", "review my skill", or asks about skill structure, trigger phrases, progressive disclosure, or skill design patterns. This skill focuses on the writing craft — producing well-structured, effective skill content — not on eval/benchmark workflows.
Expert guidance for using the GitLab CLI (glab) to manage GitLab issues, merge requests, CI/CD pipelines, repositories, and other GitLab operations from the command line. Use this skill when the user needs to interact with GitLab resources or perform GitLab workflows.
This is intended for use when OpenSpec workflows require dependency-aware parallel subagents that are compatible with OPSX commands, legacy OpenSpec commands, and Codex CLI prompt aliases.
Chinese Guide for Creating Effective Skills. This skill should be used when users want to create a new skill (or update an existing one) to extend AI capabilities, including specialized knowledge, workflows, or tool integrations. The generated new skills should be described in Chinese.