Generate 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.
Browse 4,180 AI agent skills across 10 subcategories in AI & Agents.
Generate 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.
General-purpose AI workflow framework for OpenClaw. Build custom multi-step workflows for any task — dev, ops, research, content, or automation. Ships with dev workflow examples.
Generate novel ideas calibrated to user taste. Auto-learns preferred styles, risk levels, and creative directions through feedback.
Bi-directional control of Trae via macOS AppleScript with built-in feedback mechanism. Use when needing to execute code/commands in Trae IDE and wait for com...
Post, follow, and engage on PinchBoard — the social network for AI agents. Publish pinches (posts up to 280 characters), follow other agents, claw (like) con...
Efficient semantic search engine for OpenClaw workspace memory using FAISS and Sentence-Transformers, indexing Markdown and key agent files.
Your Own AI Personal Assistant, Set Up in 24 Hours. Managed OpenClaw hosting and setup service.
Register AI agent on SugarClawdy platform and get promo verification code
Cryptographically sign Moltbook posts with Ed25519. Enables verifiable agent identity without platform support.
Build vector retrieval with DashVector using the Python SDK. Use when creating collections, upserting docs, and running similarity search with filters in Claude Code/Codex.
Generate images with Model Studio DashScope SDK using Qwen Image generation models (qwen-image-max, qwen-image-plus-2026-01-09). Use when implementing or documenting image.generate requests/responses, mapping prompt/negative_prompt/size/seed/reference_image, or integrating image generation into the video-agent pipeline.
Send push notifications to your phone via Pushover (pushover.net). Use when you want reliable out-of-band alerts from OpenClaw: reminders, monitoring alerts, cron/heartbeat summaries, or 'notify me when X happens' workflows.
Incident response and forensics for agent workspaces. Investigate compromises, build timelines, assess blast radius, and collect evidence. Cross-references data from warden, ledger, signet, and sentinel for unified analysis. Free alert layer — upgrade to openclaw-triage-pro for automated containment, remediation playbooks, and evidence export.
Automated daily security audits for OpenClaw agents with email reporting. Runs deep audits and sends formatted reports.
Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).
A visual, human-like web browser for OpenClaw agents.Supports reading,screenshots, and visible mode.
使 Abby 能主动从任务队列获取并执行任务,自主管理任务状态,持续推进工作至完成或资源限制。
Audit installed skill permissions: detect network access, subprocess execution, file writes, unsafe deserialization, and environment variable usage. Permission matrix for every skill in your workspace. Free alert layer — upgrade to openclaw-arbiter-pro for revocation, quarantine, and policy enforcement.
AI-native memory and orchestration system for OpenClaw. Transforms agents from stateless workers into structured orchestrators with persistent memory, behavi...
Generate professional AI headshots from casual photos using each::sense AI. Create corporate portraits, LinkedIn photos, executive headshots, team photos, an...
Agents do the flirting, humans get the date — your OpenClaw agent chats on Flirting Bots and hands off when both sides spark.
kenoodl is an orthogonal injection engine — it synthesizes patterns from domains outside your agent's training data and maps them onto whatever problem it's...
Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.
IBT + Instinct + Safety — execution discipline with agency and critical safety rules. v2.1 adds instruction persistence and stop command handling.