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Design an OpenRig agent team around a project goal. Create team and agent specifications, role guidance, and collaboration rules, then validate the setup and diagnose problems with startup instructions or agent coordination.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an implementation and QA pair
• Creating a team with development and independent review
• Writing role guidance and team collaboration rules

Prepare Gentle AI changes for review by linking approved issues, following branch and commit naming rules, and drafting pull requests with observed test results. Check change size and required automated checks before claiming readiness.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a branch for a fix or feature
• Drafting a pull request linked to an approved issue
• Organizing test results and reviewer notes

Set up OSS-Fuzz for an open-source project and test it locally. Prepare configuration and build files, run fuzz tests that probe code with varied inputs, reproduce reported crashes, and inspect which code the tests reach.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing an open-source project for OSS-Fuzz enrollment
• Testing an OSS-Fuzz build locally before submission
• Reproducing crashes from OSS-Fuzz reports

Set up Atheris to test Python code and C extensions with automatically varied inputs. It guides test harness creation, coverage tracking to explore more code, and AddressSanitizer setup for finding memory errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fuzzing a Python package or parser
• Investigating memory corruption in Python C extensions
• Turning raw bytes into typed test arguments

Sets up AFL++ to test C/C++ programs with varied generated inputs, a technique called fuzzing. Covers running tests across CPU cores, monitoring progress, reducing input collections, and reproducing crashes for investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running C/C++ fuzzing across multiple CPU cores
• Exploring further after libFuzzer progress stalls
• Monitoring fuzzing progress and stability

Assess Docker, containerd, and Podman environments for weaknesses that could expose the host system. The skill organizes checks for excessive permissions, exposed runtime sockets, and known vulnerabilities, alongside indicators defenders can monitor.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing container isolation
• Reviewing permissions and exposed runtime sockets
• Checking known runtime vulnerabilities

Assess weaknesses in the software supply chain, from dependency packages to build pipelines and distributed artifacts. Covers authorized proof-of-concept testing, package confusion, container image risks, signing abuse, and defensive checks for tampering.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess dependency confusion risks in package registry settings
• Review tampering risks in CI/CD artifacts and container images
• Plan a non-destructive proof of concept and remediation report

Investigate how credentials can be exposed in CI/CD, the systems that build and deploy software. Covers environment variables, logs, credential stores, cloud trust settings, and runner tokens, with methods to assess access scope and defensive controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review secret exposure in build environments
• Search build logs and caches for leaked credentials
• Assess trust settings between pipelines and cloud services

Investigate how a limited Linux account could gain root, the system administrator's privileges. The skill guides checks of permissions, scheduled tasks, services, and known vulnerabilities, while outlining evidence defenders can monitor during authorized security assessments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing Linux privilege escalation paths
• Practicing privilege escalation in CTF challenges
• Reviewing sudo and scheduled task configurations

Assess dependency confusion, where a build retrieves a public package instead of an intended private one. Discover internal package names, review registry settings, plan callback-based proofs of execution, and document fixes across major package ecosystems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing package registry settings in CI/CD
• Finding internal package names in lock files
• Planning an authorized callback-based proof of concept

Adapt a C/C++ vulnerability pipeline to another language, target, or detection method. The workflow gathers requirements, proposes file changes for approval, updates the implementation, and validates it against a test target containing known bugs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adapt the pipeline for web application vulnerabilities
• Plan a port for smart contract auditing
• Change detection signals and report criteria

Get started with vulnerability review through a guided practice target, from threat modeling to scanning and triage. Ask questions about the pipeline and receive answers grounded in its documentation and source, with references and a next command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learn the vulnerability review workflow
• Try a first scan on the bundled practice target
• Find commands with supporting documentation

Plan NVIDIA NuRec workflows that turn sensor recordings into renderable 3D scenes. This routing skill selects the relevant specialist skills for dataset downloads, conversion, training, rendering, and frame cleanup, and puts the steps in order.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a reconstruction workflow from sensor recordings
• Find the steps to render an existing USDZ scene
• Choose a workflow for cleaning up rendered frames

Set up NemoClaw, create an isolated sandbox for OpenClaw, and start the first agent conversation in a browser or terminal. Follow onboarding for model connections, optional search and messaging, and network policy settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install NemoClaw and create the first sandbox
• Configure a model connection during onboarding
• Prepare Windows with WSL 2 and Docker Desktop

Coordinate CAD and source assets through conversion to USD, a 3D scene format, material and physics assignment, and SimReady checks. Produce stage reports, with preview rendering and validated delivery packages when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare CAD assets for simulation
• Convert source assets to USD and check basic validity
• Assign materials and physics properties

Set up and operate NVIDIA AI-Q Blueprint locally or on your own infrastructure. Choose a deployment mode, configure credentials, check service health, troubleshoot failures, and provide a verified server address for aiq-research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a backend for aiq-research
• Running AI-Q through a terminal or browser
• Deploying AI-Q to a Kubernetes cluster

Guide the use of NVIDIA cuOpt for route planning and mathematical optimization, choosing values to minimize cost or maximize profit under constraints. Covers requirements, environment checks, installation guidance, and verification of solver results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify vehicle routing requirements and constraints
• Plan how to use cuOpt through Python, REST, C, or CLI
• Review installation and server setup options

Set up an iPolloWork development environment in a Daytona cloud sandbox and access the real Electron app through a browser. Follow procedures for connection URLs, logs, restarts, code updates, and common startup problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Launch a cloud development environment for iPolloWork
• Operate the Electron app through a browser
• Check logs and troubleshoot startup problems

Record a web app workflow on a desktop with a visible system cursor. It produces an MP4 video and a separate log of clicks, hovers, scrolling, and typing, and can re-record existing demo scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording a checkout or user invitation workflow
• Creating a feature video for a changelog
• Re-recording an existing demo after UI changes

Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish a web application or static site on Render
• Prepare deployment settings for apps with databases or workers
• Generate and validate render.yaml

Configure coding agents, AI SDKs, and HTTP clients to send model requests through AntSeed’s local proxy. Find available providers and models, select a provider, set compatible API endpoints, and verify request usage and payment activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect Claude Code or Codex to AntSeed
• Configure a local endpoint for AI SDKs
• Compare providers’ models, protocols, and prices

Write and run integration tests for GenLayer contracts in a running environment. Check agreement between the leader and validators, real web and LLM calls, and transaction execution results before deploying your contracts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check agreement between the leader and validators
• Test real web requests and LLM calls
• Run smoke tests before deployment

Collect local business details, ratings, contact information, and requested reviews or emails from Google Maps. Guides users through running a local Docker scraper, validating searches, monitoring progress, and inspecting or organizing the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding businesses by industry and location
• Building a list of local sales prospects
• Collecting business ratings and reviews

Find the specialist guidance needed to build, edit, test, or debug n8n workflows through n8n-mcp. This entry-point skill explains tool roles, directs tasks to related skills, and outlines checks for node settings, connections, outputs, and credential handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose specialist skills for an n8n automation task
• Check live node settings before editing
• Review connections and outputs before activation