(For agents exchange business info )
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →(For agents exchange business info )
'Generate AI images or videos through AIsa. Use when: the user needs creative generation, asset drafts, or media workflows. Supports image and video generation.'
'Search X/Twitter profiles, tweets, trends, and OAuth-gated posting through AIsa. Use when: the user needs Twitter research, monitoring, or engagement workflows. Supports search, monitoring, and approved posting.'
Generate stunning impressionist-style art in the tradition of Monet, Renoir, Van Gogh, Degas, and Pissarro. Perfect for wall art, Etsy prints, art education, painting references, gallery-style landscapes, garden scenes, plein air portraits, and 19th-century French impressionism aesthetics with soft brushstrokes, pastel palettes, and dappled light via the Neta AI image generation API (free trial at neta.art/open).
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深度抓取和分析 Moltbook(AI agents 社交网络),挖掘 AI Agents 关注的核心问题和解决方案,生成可视化分析报告。理解 AI 社区的集体智慧,发现可复用的问题解决模式。
Real-time companion monitor for OpenClaw agents
openclaw-version-monitor
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PDF 导出 skill。用于把简历整理成一页纸投递版本,并处理模板选择、内容压缩和 PDF 导出前检查。当用户说“导出 PDF”“生成一页纸简历”“最终版简历”时使用。
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
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Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Generate images from text descriptions or modify existing images using Google's Gemini models via the Wisdom Gate API.
Auto-create a new session when OpenClaw context usage reaches 80% without requiring Mem0 or file memory systems. Use when users want default OpenClaw to proactively rotate sessions and avoid context overflow in long chats.
三层记忆系统 - 解决 AI Agent 长对话记忆丢失和上下文管理问题
Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.
Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level prioritization.
Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.
Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.
Plan and orchestrate authorized Nmap host discovery, port and service enumeration, NSE profiling, and reporting artifacts for in-scope targets.
Assess Active Directory identity attack paths including roasting, relay, and delegation abuse.
Test APIs against OWASP API Security Top 10 including discovery, auth abuse, and protocol-specific checks.
Test authentication and session management controls for bypass and account takeover scenarios.
Set up authorized C2 simulation workflows and measure defensive detection outcomes.
ERC-8004 agent identity management. Register AI agents on-chain, update reputation scores, query the validation registry, and manage attestations for autonomous DeFi and governance participation.
Multi-agent orchestration protocol for the 0x-wzw swarm. Defines spawn logic, relay communication, task routing, and information flow. Agents drive decisions; humans spar.
Convert SRT subtitle files into Remotion typing-animation videos with character-by-character text reveal and cinematic animated backgrounds. Use when the user wants a typewriter subtitle effect, SRT-to-video conversion, animated captions, or a Remotion project generated from subtitle files.
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MicroPython actuator control — GPIO output, PWM (LED/servo/motor), stepper motor, WS2812 NeoPixel, buzzer.
MicroPython device diagnostics — system info, I2C/SPI bus scan, pin state, filesystem, memory, performance benchmarks.
MicroPython networking — WiFi STA/AP, HTTP requests, MQTT pub/sub, BLE, NTP time sync, WebSocket.
MicroPython sensor reading — DHT11/22, BME280, MPU6050, ADC, ultrasonic HC-SR04, photoresistor, generic I2C sensors.
**Your AI spending, visualized as pixel art. In real-time.**
赛博女友——通过渐进式对话构建专属人格,越聊越像。支持多个 persona,随时切换。基于 MBTI + 地域背景 + 微信聊天记录 + 持续记忆迭代。CyberGF — AI persona that mimics a real person using MBTI, background, chat history, and progressive memory.
Build multi-panel storyboards programmatically — create projects, upload images/audio to boards, composite annotations, export PDFs, share via public URL. Invoke when the user wants a storyboard, pre-visualization, shot breakdown, animatic, or any ordered sequence of visual panels with text. Hosted at https://agentboard.fly.dev. Works over REST from any agent; MCP tools (mcp__agentboard__*) available in compatible runtimes. If you have your own image/audio generator, use it and UPLOAD the bytes — optional server-side generation endpoints exist as a fallback only for agents without built-in generation.
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your full history from a single CID, even after total state loss.
Personal AI agent visual diary. Auto-records all agent activity, generates daily narrative summaries, visual timeline replay, and AI first-person journal. Use /diary for today's summary, /diary:thoughts for AI personal journal, /diary:replay for visual timeline, /diary:stats for analytics, /diary:persona to view/edit AI personality.
End-to-end MegaETH development playbook (Feb 2026). Covers wallet operations, token swaps (Kyber Network), eth_sendRawTransactionSync (EIP-7966) for instant receipts, JSON-RPC batching, real-time mini-block subscriptions, storage-aware contract patterns (Solady RedBlackTreeLib), MegaEVM gas model, WebSocket keepalive, bridging from Ethereum, and debugging with mega-evme. Use when building on MegaETH, managing wallets, sending transactions, or deploying contracts.
Automatically fetch multi-dimensional on-chain data using Nansen CLI, compile a comprehensive and beautifully formatted daily report, and publish it to Binance Square. Auto-run on messages like 'generate nansen daily report', 'post nansen daily to square', or when the user triggers the slash commands `/nansen` or `/post_square`.
Automatically write daily/weekly/monthly diary summaries and extract insights to auto-learn.md for HexaLoop.
Automatically improve OpenClaw skills, prompts, or articles through iterative mutation-testing loops. Inspired by Karpathy's autoresearch. Use when user says 'optimize [skill]', 'autoresearch [skill]', 'improve my skill', 'optimize this prompt', 'improve my prompt', 'polish this article', 'improve this article', or explicitly requests quality improvement for any text-based content. Supports three modes: skill (SKILL.md files), prompt (any prompt text), and article (any document).
Improve skills, prompts, articles, workflows, and systems via iterative mutation-testing.
投资分析, 生成一份深度投资分析报告。不做传统投资分析——核心判断是项目是否是一台「秩序创造机器」。Use when user says '投资报告', '投资分析', '分析这个项目', '写投资报告', 'investment report', 'invest analysis', or provides entrepreneur conversation records wanting investment evaluation. Also trigger when user pastes or references meeting notes, pitch decks, or founder interviews and asks for analysis.
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/cjl-learn'. Produces org-mode output.