1.7K skills ・ Works with: Docker · sorted by popularity
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.