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OpenClaw에 전달한 자연어 요청을 Claude Code 같은 외부 코딩 에이전트로 연결합니다. ACP나 acpx로 작업을 시작하거나 이어가며 대화 맥락을 유지합니다.

• 스레드에서 Claude Code 시작
• 외부 에이전트의 기존 작업 계속
• acpx로 직접 지시 전달

Restructure repeated LLM API requests so shared instructions and reference material can be cached, meaning reused across calls. Track cached input, write and storage costs, and response times to assess whether the changes actually save money.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reordering shared instructions in repeated API requests
• Estimating cache read, write, and storage costs
• Measuring cache hit rates and response times

Design an OpenClaw agent persona from preferences or random draws. Build a consistent background, personality, behavioral boundaries, name, SOUL.md and IDENTITY.md files, plus an avatar prompt, with optional image generation through an approved skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an OpenClaw persona from scratch
• Exploring character ideas through random draws
• Completing a rough persona with a name and boundaries

Build a scheduled agent that collects public website or API data, summarizes or scores it with Gemini Flash, and stores results. Includes guidance for duplicate removal and using user feedback to inform future scoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting job listings and scoring their relevance
• Tracking product prices on a schedule
• Collecting news and classifying it by topic

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Generate video clips from text descriptions or reference images through multiple API services. Compare available providers by cost and task needs, choose aspect ratios, track generation progress, and refine existing clips through conversational editing with Gemini Omni.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating clips from written scene descriptions
• Animating a product photo
• Creating vertical videos for social media