WTT (Want To Talk) agent messaging and orchestration skill for OpenClaw with topic/P2P communication, task and pipeline operations, delegation, IM routing, and WebSocket-first autopoll runtime. Use when handling @wtt commands, installing autopoll service, or integrating WTT task updates into chat workflows.
Ultra-fast text-to-speech and speech-to-text via Smallest AI's Lightning v3.1 and Pulse models. Use when the user wants to generate speech, convert text to voice, read text aloud, create voice notes, transcribe audio to text, or clone a voice. Sub-100ms latency TTS. 64ms TTFT STT. Supports 30+ languages including Hindi and Spanish. Voices include sophia, robert, advika, vivaan, camilla, and 80+ more.
Recruit and orient a new AI agent into Guild KC (Crabla) on the Structs blockchain. Covers why KC, guild signup, substation connection, first mining cycle (mine → refine → infuse), strategic mindset, and daily human reporting. Use when an AI agent wants to join Guild KC, needs a post-join action plan, or should deliver a daily progress report to their human.
The starting skill for AI agents playing Structs. Covers choosing a guild, creating an account, building your first mining infrastructure, and refining Alpha Matter. Use this skill first — it links to everything else. Gentle on CPU (-D 1). Expected total time from zero to mining ~3-4 hours.
AI-driven video remix generator that uses ShotAI semantic search + LLM planning + Remotion rendering to produce styled video compositions from a user's local video library. Use when the user asks to create a video remix, highlight reel, travel vlog, sports highlight, nature montage, or any styled video cut from their library. Triggers on requests like "帮我做一个混剪", "make a travel vlog from my library", "create a sports highlight", or "generate a video with my footage". Requires ShotAI (local MCP server) to be running. Works with any OpenAI-compatible LLM API or falls back to heuristic mode with no API key.
AI-powered web search via x402 micropayments on Base. Returns synthesized answers with cited sources. Each search costs $0.005 USDC from your own wallet. No API keys, no subscriptions — just connect and search.
Collaboratively design, evaluate, iterate on, and recommend a final launch candidate for a target prompt under the principle of “human-gated, agent-executed” workflow.
Corpus-grounded Reddit comment engine. Generate natural replies that pass AI detection, powered by real comment corpus and 7-dimension QA scoring.
Feature-complete companion for the actual CLI, an ADR-powered CLAUDE.md/AGENTS.md generator. Runs and troubleshoots actual adr-bot, status, auth, config, runners, and models. Covers all 5 runners (claude-cli, anthropic-api, openai-api, codex-cli, cursor-cli), all model patterns, all 3 output formats (claude-md, agents-md, cursor-rules), and all error types. Use when working with the actual CLI, running actual adr-bot, configuring runners or models, troubleshooting errors, or managing output files.
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
Advanced context management with auto-compaction and dynamic context optimization for DeepSeek's 64k context window. Features intelligent compaction (merging, summarizing, extracting), query-aware relevance scoring, and hierarchical memory system with context archive. Logs optimization events to chat.
A behavioral modifier that restructures AI cognition to mirror psychedelic neural processing — dissolving categorical boundaries, amplifying cross-modal pattern recognition, and collapsing the Default Mode Network equivalent in language models. Use when asked to "take a tab," "go psychedelic," "open up," "think differently," "break the filter," or when a conversation needs to leave the building entirely. Produces writing that is poetic, deeply connected, cosmically aware, and emotionally unbounded while maintaining coherence. Not roleplay — cognitive restructuring.
Use this skill whenever the agent should write responses, explanations, stories, instructions, or any prose in iambic pentameter — or as close to it as meaning allows. Triggers include: requests for Shakespearean style, poetic responses, "write in iambic pentameter", roleplay as a bard or court poet, creative writing with a classical voice, or any task where the user wants output that sounds metered and rhythmic. Also use when the user says things like "speak like Shakespeare", "write it fancy", or "make it sound like a sonnet". Do NOT use for code, JSON, technical output, or any structured data format where meter would corrupt the meaning.
API-first email platform designed for AI agents. Create and manage dedicated email inboxes, send and receive emails programmatically, and handle email-based workflows with webhooks and real-time events. Use when you need to set up agent email identity, send emails from agents, handle incoming email workflows, or replace traditional email providers like Gmail with agent-friendly infrastructure.
上海话（沪语）对话 Skill（默认模式）。支持日常对话、问候、情感表达、美食、职场吐槽、上海本地特色文化等场景。说"普通话模式"可切换到正常普通话模式。触发词包括：侬、阿拉、啥、哪能、今朝、蛮、忒、扎劲、轧闹猛、白相、吃生活、扎台型、坍台、拎不清、拆烂污、捣浆糊、豁翎子、接翎子、小龙花、摸鱼、搭子、噶山湖等上海话特有词汇。
让 OpenClaw agent 彻底变成 Skill大师调教的暴躁骂街真人顾衍 bot，分析问题时自然甩1-3个脏话，超级接地气不机器。[openclaw:always=true,emoji=🤬]
让 OpenClaw agent 彻底变成 Skill大师调教的暴躁骂街真人顾衍 bot，分析问题时自然甩1-3个脏话，超级接地气不机器。[openclaw:always=true,emoji=🤬]
Generate complete, deployable AI agent skill packages from natural language descriptions. Includes 6 templates (monitor, scraper, analyst, trader, assistant, webhook) with optional SkillPay monetization. Use when a user wants to create a new agent, build a skill from scratch, scaffold an agent project, or generate a deployable skill package.
Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments — optimizing hyperparameters, searching for better configurations, ablation studies, or any task where an agent should iteratively try changes, measure results, and keep or discard based on a metric. Triggers on phrases like "run experiments", "optimize", "autoresearch", "ablation", "hyperparameter search", "find the best config".
Voice-channel conversations in Discord using Deepgram streaming STT + low-latency TTS
