浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Create Zeroserve eBPF request-processing scripts in C for `.zeroserve/scripts` using the Zeroserve SDK (`zeroserve.h`). Use when you need to implement request inspection, header/query parsing, metadata templating, custom responses, or reverse-proxy behavior in a script.
View call logs for the Vocal Bridge voice agent. Can list recent calls or show details of a specific session including transcript.
Query and sync Granola meetings to Obsidian vault. Use when user mentions Granola, meeting transcripts, or wants to sync meeting notes. Reads from local cache - no API needed.
Integrate Uniswap swaps into applications. Use when user says integrate swaps, uniswap, trading api, add swap functionality, build a swap frontend, create a swap script, smart contract swap integration, use Universal Router, Trading API, or mentions swapping tokens via Uniswap.
Electron desktop development guide. Use when implementing desktop features, IPC handlers, controllers, preload scripts, window management, menu configuration, or Electron-specific functionality. Triggers on desktop app development, Electron IPC, or desktop local tools implementation.
The quo skill enables AI agents to query Quo business phone data, including calls, texts, contacts, and transcripts, benefiting developers and businesses. It provides a shareable OpenClaw configuration for memory system, skills, and agent instructions.
Integrate Uniswap swaps into applications. Use when user says integrate swaps, uniswap, trading api, add swap functionality, build a swap frontend, create a swap script, smart contract swap integration, use Universal Router, Trading API, or mentions swapping tokens via Uniswap.
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
Creates video rough cut yaml file for use with Buttercut gem. Concatenates visual transcripts with file markers, creates a roughcut yaml with clip selections, then exports to XML format. Use this skill when users want a roughcut, sequence or scene generated. These are all the same thing, just with different lengths.
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. USE FOR: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech. DO NOT USE FOR: Function apps/Functions (use azure-functions), databases (azure-kusto), general Azure resources.
Router skill for ToolUniverse tasks. First checks if specialized tooluniverse skills (54 skills covering disease/drug/target research, clinical decision support, genomics, transcriptomics, single-cell analysis, variant analysis, phylogenetics, statistical modeling, image analysis, epigenomics, chemical safety, systems biology, multi-omics integration, proteomics, metabolomics, spatial omics, immune repertoire analysis, and more) can solve the problem, then falls back to general strategies for using 1400+ scientific tools. Covers tool discovery, multi-hop queries, comprehensive research workflows, disambiguation, evidence grading, and report generation. Use when users need to research any scientific topic, find biological data, or explore drug/target/disease relationships.
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.