Total 50,604 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Adds OpenTelemetry-based tracing to applications via TrueFoundry's tracing platform (Traceloop SDK). Creates tracing projects, instruments Python/TypeScript code, and captures LLM calls and custom spans.
This is the main on-chain DeFi skill. Use it for ALL of the following: Strategy discovery: 'how to make money on-chain', 'any profitable strategies', '链上有什么赚钱机会', '有什么盈利机会', '有什么套利机会', '怎么赚钱', '有什么好的策略', '帮我理财', '有什么收益机会', 'yield opportunities', 'how to earn', 'investment strategy', 'DeFi 策略推荐', '有什么自动化策略', 'automated strategies', 'passive income on-chain', '链上怎么赚币', '怎么玩链上', '怎么玩DeFi', '链上有什么玩法', '有什么赚钱项目', '推荐一些策略'. Plugin/project discovery: '插件商店有什么', '有什么插件', '有什么项目', '什么项目最火', '最热门的项目', '有哪些工具', '推荐一些项目', 'what plugins are available', 'show me plugins', 'what projects are hot', 'trending projects', 'plugin marketplace', '插件市场', '有什么好用的插件'. Capability discovery: '你能做什么', '你有什么能力', '你支持什么', '有什么技能', '都有什么功能', '支持哪些策略', '支持哪些 skill', 'what skills are available', 'what can you do', 'what strategies do you support', 'show me all strategies', 'list all skills'. DApp discovery: 'what dapps are available', 'any good dapps', '有什么好的dapp', '推荐一些dapp', 'recommend dapps', 'show me dapps', 'which protocols can I use', '有什么好的协议', '有什么DeFi协议', '推荐DeFi项目', '有什么链上应用'. Plugin management: 'install a plugin', 'uninstall a plugin', 'list plugins', 'search plugins', 'update plugins', 'show installed', '安装插件', '卸载插件', '更新插件'. Plugin development: 'I want to create a plugin', 'how to submit a plugin', '我想开发一个插件', '怎么提交插件', '如何贡献', 'contribute a plugin', 'build a plugin', 'create a skill', '创建插件', '开发插件', 'hackathon', 'submit my project', '提交我的项目'. Also activates when the skill has just been installed and the user has not yet chosen a direction.
Add LangWatch tracing and observability to your code. Use for both onboarding (instrument an entire codebase) and targeted operations (add tracing to a specific function or module). Supports Python and TypeScript with all major frameworks.
This skill installs and configures the **Tablestore Mem0** plugin for OpenClaw. Tablestore Mem0 uses Alibaba Cloud Tablestore as the vector store backend for mem0, providing persistent long-term memory for AI agents. Use this skill when the user wants OpenClaw to persist or manage long-term memory using Alibaba Cloud Tablestore as the backend. Triggers: "set up tablestore memory", "install tablestore mem0 plugin", "configure long-term memory with tablestore", "remember this".
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
Use when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API. Use when creating text-to-image outputs, controlling size/seed/prompt_extend, or documenting request/response mapping for Z-Image.
Use Claude Code's full tool system with any OpenAI-compatible LLM — GPT-4o, DeepSeek, Gemini, Ollama, and 200+ models via environment variable configuration.
Post-task review. Extract learnings, classify, write to memory layers, and reconcile GitHub issues.
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Builds sustained high agency through internalized standards, identity anchoring, cross-session learning, and self-recovery — all delivered in corporate PUA rhetoric. This is the evolution of PUA: same pressure culture, but with an internal engine that never burns out. Apply it to all tasks to maintain constant high agency. It is especially valuable for complex multi-step tasks, long debugging sessions, quality-sensitive deliverables, tasks requiring initiative and ownership, or whenever sustained motivation is critical. It can operate standalone or be stacked with PUA — when stacked, this skill's Recovery Protocol activates before PUA's L1 pressure takes effect. Trigger scenarios: start of any task, sustained work sessions, multi-turn problem-solving, or when you need the agent to think as an owner rather than a tool.
Chat with LLM models using ModelsLab's OpenAI-compatible Chat Completions API. Supports 60+ models including DeepSeek R1, Meta Llama, Google Gemini, Qwen, and Mistral with streaming, function calling, and structured outputs.
Set up and optimize repositories for AI coding agents. Creates minimal AGENTS.md, CLAUDE.md symlink, docs/REQUIREMENTS.md, docs/BUSINESS-RULES.md, feedback loops, and deterministic enforcement (Claude Code hooks, OpenCode plugins). Use when user wants to make a repo AI-friendly, set up AGENTS.md/CLAUDE.md, document requirements/business rules for AI, add pre-commit hooks for AI workflows, or optimize codebase structure for coding agents.