发现 Skills

Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.

Simplification and readability techniques. Use when writing for broad audiences or simplifying complex content. Covers active voice, short sentences, jargon elimination, and accessibility principles from the Plain Language Movement.

Implement GRPO (Group Relative Policy Optimization) fine-tuning for vision-language models on small datasets. Use when SFT underperforms or training data is limited (<1000 examples).

Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.

Binance Derivatives-trading-portfolio-margin request using the Binance API. Authentication requires API key and secret key. Supports testnet and mainnet.

增强版代码评审（v2.1.2）。完整继承 gerrit-review 全部能力（7 维 + P0-P3 + 脚本链 + Google/Java/C++ 规范与车联明文）并新增本地模块评审：无需 CR 号即可对仓库子目录做与 prepare 同构的评审上下文。v2.1.2 修复 commit message 中【开发自测视频】链接里的时间戳/文件 ID 被误判为「缺前缀的 Jira 号」（P1），并对全部脚本回退到 typing 风格类型注解，**最低支持 Python 3.6.9**（可在 3.6 / 3.7 / 3.8 / 3.9 / 3.10+ 直接运行）。隐私合规维度（P0，高精确率三重门控）与 v2.1.1 行为不变。Gerrit 须自行配置 GERRIT_USER / GERRIT_HTTP_PASSWORD。触发：review <模块路径>、enhanced_code_review review <模块路径>、以及原 gerrit-review 全部触发语（review CR / review 姓名 / gerrit inbox 等）。

Run Semgrep static analysis scan on a codebase using parallel subagents. Supports two scan modes — "run all" (full ruleset coverage) and "important only" (high-confidence security vulnerabilities). Automatically detects and uses Semgrep Pro for cross-file taint analysis when available. Use when asked to scan code for vulnerabilities, run a security audit with Semgrep, find bugs, or perform static analysis. Spawns parallel workers for multi-language codebases.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions 'customer research,' 'ICP research,' 'talk to customers,' 'analyze transcripts,' 'customer interviews,' 'survey analysis,' 'support ticket analysis,' 'voice of customer,' 'VOC,' 'build personas,' 'customer personas,' 'jobs to be done,' 'JTBD,' 'what do customers say,' 'what are customers struggling with,' 'Reddit mining,' 'G2 reviews,' 'review mining,' 'digital watering holes,' 'community research,' 'forum research,' 'competitor reviews,' 'customer sentiment,' or 'find out why customers churn/convert/buy.' Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see page-cro.

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Analyze and reclaim macOS disk space through intelligent cleanup recommendations. This skill should be used when users report disk space issues, need to clean up their Mac, or want to understand what's consuming storage. Focus on safe, interactive analysis with user confirmation before any deletions.

Web search, online search, real-time search, internet search, Google alternative, Bing alternative, DuckDuckGo alternative, search the web, lookup online, find information, research, query, search, search results, webpage search, connected search, real-time lookup, web query, data lookup, information retrieval, latest news, news search. Tavily Search API for optimized, real-time web search results for RAG. A pre-configured, cost-effective search tool.

Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.

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 guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.

Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke for full-stack features, performance optimization, SEO implementation, and production deployment.

Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).

Shape an article as a journey of beats, choose-your-own-adventure style. The user picks a starting beat from the raw material, you write only that beat, then offer options for where to pivot next, beat by beat, until the article reaches a natural end. Use when the user has raw material and wants to assemble it as a narrative rather than an argument.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Perform a comprehensive read-only security audit of Clawdbot's own configuration. This is a knowledge-based skill that teaches Clawdbot to identify hardening opportunities across the system. Use when user asks to "run security check", "audit clawdbot", "check security hardening", or "what vulnerabilities does my Clawdbot have". This skill uses Clawdbot's internal capabilities and file system access to inspect configuration, detect misconfigurations, and recommend remediations. It is designed to be extensible - new checks can be added by updating this skill's knowledge.

抖音自动回复助手 - 自动回复抖音评论、发送引荐码、引导私信。使用 DouyinBot API 实现评论监控、智能回复和私信引流。适用于抖音创作者、电商卖家、知识付费从业者。

Feishu Bitable (Bitable) API skill for creating, reading, updating, and deleting Feishu Bitable tables, records, and fields.

Advanced Home Assistant control using the official hass-cli tool. Features auto-completion, event monitoring, history queries, and rich output formatting. Alternative to the curl-based homeassistant skill - choose this if you want a more interactive CLI experience with better discovery and formatting.

Complete Kimai time-tracking API integration. Manage timesheets, customers, projects, activities, teams, invoices and exports via REST API. Supports time tracking workflows, reporting, and administrative operations. Keywords - kimai, zeiterfassung, timesheet, tracking, project, customer, activity, invoice, export, timer, stunden