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将提交给OpenClaw的自然语言请求转交给Claude Code等外部编程智能体，通过ACP或acpx启动、继续会话，并保留对话上下文。

• 在讨论串中启动Claude Code
• 继续外部智能体的现有工作
• 通过acpx直接传递指令

调整重复发送的LLM API请求，让共用指令和资料便于缓存复用；分别比较输入、缓存读写、输出及存储费用，并整理用量、响应时间和复用范围。

• 重排重复API请求中的共用指令
• 估算缓存读写和存储费用
• 测量缓存使用率与响应时间

为OpenClaw智能体设计背景、性格、行为底线和名字。可按偏好或随机抽取构思，整理为配置文件与头像生成提示词，并明确角色的缺点和局限。

• 从零设计OpenClaw人格
• 通过随机抽取探索角色方案
• 为初步设定补充名字与底线

帮助构建定期采集公开网站或API中职位、价格、新闻等信息的系统，设计AI摘要、分类、评分和存储流程，并将用户的采纳或拒绝记录用于后续评分。

• 采集职位并按条件匹配度评分
• 定期追踪商品价格
• 采集新闻并按主题分类

Test how API-accessible language models respond to attempts to bypass safety filters. The skill covers prompt templates, input transformations, parallel response comparisons, and Hermes configuration, with automated scoring of refusals, answer quality, and speed.

中文简介正在准备中。当前显示英语简介。

• Evaluating model resistance to safety-filter bypass attempts
• Comparing responses to transformed inputs
• Comparing refusals, answer quality, and speed across models

Find and run over 150 cloud AI apps through a shared command-line tool. Generate images and videos, search for information, or upload local images and audio for tasks such as upscaling and avatar generation.

中文简介正在准备中。当前显示英语简介。

• Generate images from prompts
• Turn a local image into a video
• Create an avatar video from a photo and audio

Operate Antigravity CLI to install or update it, manage plugins, and investigate authentication or permission settings. Run one shot coding and review requests, resume interactive conversations, and inspect configuration files and logs when problems occur.

中文简介正在准备中。当前显示英语简介。

• Checking an Antigravity CLI installation or update
• Managing and checking plugin status
• Investigating sign in, permissions, or sandbox issues

Guides implementation and maintenance of Claude applications using language-specific references and official SDKs, the libraries used to call the API. Covers tool integration, streaming responses, model migration, cost reviews, prompt audits, and evaluation workflows.

中文简介正在准备中。当前显示英语简介。

• Adding Claude API calls to an application
• Building an agent that uses custom tools
• Migrating existing Claude integrations to another model

Coordinate large research or generation tasks across a model team. An orchestrator plans and checks the work, workers execute subtasks in parallel, and an advisor reviews the plan and draft before the results are combined.

中文简介正在准备中。当前显示英语简介。

• Research multiple competitors in parallel
• Split a large generation task across multiple models
• Have an advisor review plans and drafts

Create logos, business card mockups, HTML presentations, banners, social images, and SVG icons. Define shared brand colors and typography, then carry those choices into visual assets and interface styling.

中文简介正在准备中。当前显示英语简介。

• Create logos and business card mockups
• Design social images for multiple platforms
• Build pitch decks in HTML

Review a week of engineering work using commit history, work patterns, and code quality measures. It tracks trends across retrospectives and breaks down each team member’s contributions, highlighting strengths and areas for growth.

中文简介正在准备中。当前显示英语简介。

• Review the week’s engineering work
• Summarize work completed during a sprint
• Reflect on each team member’s contributions

View recorded output tokens, cache-read tokens, response counts, and available mode attribution for a Claude Code session. In other agent environments, find the native usage report where supported, without treating observed usage as proof of savings.

中文简介正在准备中。当前显示英语简介。

• Checking recorded token usage for the current session
• Reviewing response counts and mode attribution
• Aggregating recorded output across sessions

Generate visual assets through Google Gemini's image generation API, including interface mockups, icons, and illustrations. The supplied entry helps agents discover the skill; running the full workflow requires installing the upstream bundle.

中文简介正在准备中。当前显示英语简介。

• Creating visual mockups of an interface
• Generating icons for a design
• Creating illustrations for visual materials

Create character, scene, and product images from structured descriptions of style, composition, lighting, and color. Guide generation with reference images and aspect ratio settings, using a Python script connected to a supported image generation service.

中文简介正在准备中。当前显示英语简介。

• Creating characters with specified clothing, era, and appearance
• Visualizing scenes with a chosen mood, weather, and lighting
• Producing product images with specified materials and viewing angles

Generate videos from structured prompts describing subjects, visual style, camera work, and other scene details. The workflow creates English JSON prompts and runs a Python script, with optional reference images to guide the result.

中文简介正在准备中。当前显示英语简介。

• Turn a scene idea into a video
• Generate a video guided by a reference image
• Specify visual style and camera movement

Compare ruflo and HAL systems for running the GAIA benchmark, an AI evaluation. Examine differences in code execution, browsing, file handling, memory, and model selection to prioritize improvements by expected impact and effort.

中文简介正在准备中。当前显示英语简介。

• Plan the next round of GAIA improvements
• Compare code execution and browser capabilities
• Weigh improvement priorities against implementation effort

Apply simple code changes across files without calling an LLM, using agent-booster's local transformation engine. The skill checks a confidence score before saving results and records outcomes for cost tracking and future routing decisions.

中文简介正在准备中。当前显示英语简介。

• Apply repetitive code changes across many files
• Remove console statements
• Run repeatable code transformations in CI

Run a prepared set of test cases to check agent-booster success rates and routing decisions. Optionally compare results with Gemini or Claude models, then save detailed measurements and summaries as JSON records for later verification.

中文简介正在准备中。当前显示英语简介。

• Checking success rates before a release
• Verifying routing after adding test cases
• Checking performance claims against measurements

Set up and operate Ruflo to coordinate multiple AI coding agents. This skill guides project initialization, shared memory, task assignment, health checks, and plugin discovery for work that needs coordinated or parallel execution.

中文简介正在准备中。当前显示英语简介。

• Initializing a multi-agent development environment
• Coordinating parallel work across agents
• Keeping searchable memory across sessions

Build Claude applications using guidance for the official Anthropic SDK. Choose an integration approach, implement streaming and tool use, and follow workflows for model migration, prompt audits, evaluation, and cost optimization.

中文简介正在准备中。当前显示英语简介。

• Build a summarization app with Claude API
• Choose how to run an agent with custom tools
• Migrate existing code to a newer Claude model

Generate and edit images and videos through Atlas Cloud using one API key across multiple model families. Choose supported models for each task, download the results, and retain details about the model, inputs, and estimated cost.

中文简介正在准备中。当前显示英语简介。

• Generate images and videos through one service
• Edit product images using reference materials
• Create videos from images, video, or audio references

Generate short videos with audio from prompts and reference images, then refine them through conversational edits. The skill covers targeted object, lighting, and text changes, plus timed actions, using Gemini Omni Flash through documented video tools.

中文简介正在准备中。当前显示英语简介。

• Creating short videos with sound from written prompts
• Assigning reference images to characters, products, or styles
• Refining objects, lighting, and text through conversation

Create background music or songs with Google Lyria 3 by choosing a model and structuring musical instructions. The skill guides listening checks, measurement of actual duration, and preparation of a separate master for videos requiring an exact length.

中文简介正在准备中。当前显示英语简介。

• Creating background music timed to a video
• Generating a song with custom lyrics
• Checking generated audio duration and quality

Helps agents prepare image, video, speech, music, and avatar generation requests with an exact model and API host. It explains service-specific inputs, request validation, and job resumption so unavailable models are not silently replaced.

中文简介正在准备中。当前显示英语简介。

• Specify an exact model and API host for media generation
• Prepare image edits with reference images and masks
• Resume a timed-out generation job without submitting it again