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Found 2,680 Skills
Configure, deploy, and manage Senpi Trading Runtime (OpenClaw plugin @senpi-ai/runtime) for automated on-chain position tracking with DSL trailing stop-loss protection. Use when a user needs to create or modify runtime YAML files, configure DSL (Dynamic Stop-Loss) exit engine parameters (phases, tiers, time-based cuts), set up the position_tracker scanner to monitor a wallet's positions on Hyperliquid, install/list/delete runtimes via CLI, or inspect DSL-tracked positions. The runtime does NOT create strategy wallets; create/get the strategy wallet via Senpi MCP first, then link that existing wallet in runtime YAML. Triggers on mentions of senpi, Senpi runtime, DSL exit, stop-loss tiers, position tracker, trailing stop, openclaw senpi, dsl_preset, or strategy YAML configuration."
昇腾（Ascend）推理生态开源代码仓库智能问答专家旨在为 vLLM、vLLM-Ascend、MindIE-LLM、MindIE-SD、MindIE-Motor、MindIE-Turbo 以及 msModelSlim (MindStudio-ModelSlim) 等仓库提供专家级且易于理解的解释。在处理昇腾（Ascend）推理生态相关项目的用户询问时，务必触发此技能（Skill），可解答使用方法、部署流程、支持模型、支持特性、系统架构、配置管理、调试、测试、故障排查、性能优化、定制开发、源码解析以及其他技术问题。支持中英文双语回复，并可借助 deepwiki MCP 工具检索仓库知识库，生成具备上下文感知且基于证据的回答。Ascend inference ecosystem open-source code repository intelligent question-and-answer (Q&A) expert. Provide expert-level yet comprehensible explanations for repositories such as vLLM, vLLM-Ascend, MindIE-LLM, MindIE-SD, MindIE-Motor, MindIE-Turbo, and msModelSlim (MindStudio-ModelSlim). Use this skill when addressing user inquiries related to these Ascend inference ecosystem projects, including topics such as usage, deployment process, supported models, supported features, system architecture, configuration management, debugging, testing, troubleshooting, performance optimization, custom development, source code analysis, and any other technical issues about these projects. Support responses in both Chinese and English. Use deepwiki MCP tools to query repository knowledge bases and generate context-aware, evidence-based responses.
Operate Notion Public API through UXC with a curated OpenAPI schema for search, block traversal, page reads, content writes, and data source/database inspection. Use when tasks need recursive reads or structured writes that Notion MCP does not expose directly.
Read.ai platform help — meeting intelligence with engagement/sentiment analytics, Search Copilot across meetings/email/chat, Ada digital twin, REST API (beta) + MCP Server (`api.read.ai/mcp/`), OAuth auth, webhook automations (`meeting_end` events with HMAC signing), CRM sync to Salesforce/HubSpot, Zapier/n8n workflows, 20+ language transcription. Use when setting up Read.ai webhooks or API integration, connecting Read.ai transcripts to a CRM or data warehouse, configuring Read.ai engagement analytics for a sales team, comparing Read.ai pricing tiers, troubleshooting Read.ai auto-joining meetings without permission, or setting up the Read.ai MCP server with Claude or Cursor. Do NOT use for picking between note-takers (use /sales-note-taker) or reviewing a specific call for coaching (use /sales-call-review).
MSW search integration — (1) vector search for API docs and implementation guides (msw-guide-mcp or curl against mlua_Document_Retriever / mlua_API_Retriever), (2) REST API search for resources (sprite / animation / sound / resource pack / avatar). Use for 'find details, examples, or related APIs not in .d.mlua', 'need a SpriteRUID', 'monster sprite', 'background image', 'find a sound', 'avatar rendering', etc. Keywords: document search, API details, examples, guide, retriever, resource, sprite, animation, sound, RUID, resource pack, avatar.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Full UGC ad video pipeline — generates a character image on Higgsfield, then creates a Seedance 2.0 video from it. Orchestrates the complete flow from image prompt to finished UGC video. Use when the user wants to create a UGC ad video end-to-end, or wants to take a generated image from Higgsfield's image tab into video creation. Triggers on "create a UGC video", "make a UGC ad", "UGC pipeline", "turn this into a UGC video", or any request combining image generation with video creation for ads/UGC content. Requires Playwright MCP tools.
Challenge an outbound campaign copy by benchmarking it against the user's existing campaigns — what worked, what didn't, what the winners do differently — and return a concrete verdict plus prioritized fixes. Use whenever the user wants to know if a campaign or sequence is good, compare a draft to past campaigns, audit campaign copy against real performance, pressure-test a sequence before launch, validate a sequence before going live, or asks 'is this campaign as good as my best ones'. Triggers on: 'challenge this campaign', 'benchmark this sequence', 'is this campaign good', 'audit my copy', 'pressure-test before launch', 'compare to my best campaigns', 'should I launch this'. Pulls existing campaign performance from the La Growth Machine MCP when connected; otherwise works from stats and copy the user pastes; falls back to a best-practice baseline when there is no campaign history. For SDR, RevOps, Growth, Head of Sales/Marketing, founders launching outbound. Maintained by La Growth Machine.
When msw-search cannot find a suitable sprite RUID, draw a pixel art sprite directly with SVG / HTML5 Canvas / HTML code, render it to PNG, and upload it via msw-mcp `asset_create_resource_storage_item` to obtain a sprite RUID. Two style modes are supported: chunky pixel (retro / icon / tile feel) and maple cartoon (MapleStory-inspired character / NPC feel). Triggers: draw sprite directly, create sprite, image generation, custom graphic, pixel art, cartoon sprite, maple style, chibi character, painter, draw a sprite, make an icon, create NPC image directly, draw a slime, custom sprite.
Use CloudBase Auth tool to configure and manage authentication providers for web applications - enable/disable login methods (SMS, Email, WeChat Open Platform, Google, Anonymous, Username/password, OAuth, SAML, CAS, Dingding, etc.) and configure provider settings via MCP tools `callCloudApi`.
Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns, improve skill, skill audit. NOT for general coding advice, slash commands, MCP development, or non-skill Claude Code features.
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