1.6K skills ・ Works with: Docker · sorted by popularity
Run and monitor OpenClaw release validation, including live provider checks and installation or update tests. Diagnose failing jobs, manage targeted retries, and summarize evidence for the release operator’s decision.
Check whether an OpenClaw release is fully available by comparing publication records, package provenance, test evidence, and live Gateway behavior against the requirements for its regular or extended-stable release track.
Plan and run pre-release checks for OpenClaw plugins, covering installation, removal, configuration repair, startup, external plugin compatibility, and packaged releases. Record test evidence, failures, and skipped checks to show what has been verified.
Choose suitable tests and checks for OpenClaw changes, then investigate failures using the relevant evidence. It guides local validation and directs environment-dependent or release testing to the appropriate procedures, keeping checks tied to the changed behavior.
Diagnose OpenClaw problems involving models, providers, tools, and streamed responses. Use targeted logs, repeat the failing operation, and inspect stored conversations and attachments to identify the cause, guide a repair, and verify the result.
Run and troubleshoot OpenClaw QA scenarios using simulated responses or live services. Inspect reports and saved outputs, extend test scenarios, and compare response styles across models through character evaluations with rankings and transcripts.
Investigate queued or slow OpenClaw CI jobs, the automated checks run during development. Use measured evidence to adjust runner capacity, registration budgets, parallel job limits, test grouping, and placement between GitHub-hosted runners and Blacksmith.
Run ongoing quality checks across OpenClaw subsystems, reproduce bugs, and verify fixes to their underlying causes. Track real environment tests, stress tests, independent reviews, and confirmed merges in an evidence report that supports resuming work.
Create and update OpenClaw end-to-end tests in Docker, checking complete workflows. Use fake servers to verify requests and real providers to check service behavior, including image understanding and the final text users receive.
Review MCP configuration without running its servers. Identify npm, Python, and Docker references that may fetch different code later, classify their version settings, and recommend pinning versions or image contents that the team has reviewed.
Prepare web applications for production with Docker configurations, automated testing and deployment workflows, health checks, and rollback plans. Compare release strategies and review application, infrastructure, monitoring, security, and operational readiness before launch.
Deploy and manage services across an Uncloud cluster using the uc command line. Covers public ports, Caddy routing for incoming traffic, service scaling, log inspection, and management of machines and storage volumes.
Configure and troubleshoot Vite projects, covering environment variables, API proxies, plugins, and production builds. The skill also guides library packaging, dependency compatibility, and development server performance, with checks for exposed secrets and missing TypeScript validation.
Set up reproducible development environments with Flox on macOS and Linux. Define tools, package versions, setup steps, and local services in one configuration, then share it with teammates or add project-specific tools for AI agents.
Set up Pi-hole on a home network to block advertising and malware domains. Manage blocklists, encrypt DNS lookups that turn names into addresses, configure device address assignment, add local service names, and investigate connection problems.
Helps prepare web applications for production with automated testing and deployment workflows, Docker packaging, health checks, and rollback plans. Provides examples and checklists for choosing release strategies and reviewing readiness before launch.
Create and review Docker development environments, including service networking, persistent storage, and security settings. Also guides isolated testing of command-line installers on Linux, while identifying checks that require native macOS or Windows environments.
Set up vLLM to serve large language models through an OpenAI-compatible API or process prompts in batches. The skill covers deployment, performance monitoring, and quantization, which reduces model memory requirements.
Set up and optimize large language model inference, or response generation, on NVIDIA GPUs. Use quantization, batch processing, and multiple GPUs to improve serving performance, and expose models through a chat completion API.
Track updates across blogs and RSS/Atom feeds, then manage unread articles in one place. Automatically discover feeds, import subscription lists, and filter articles by blog or category using blogwatcher-cli.
Search more than 400 social networks and platforms for accounts using a given username. Receive organized links to matching pages for checking username availability or researching publicly available account information.
Search across multiple engines through SearXNG, a service that combines search results. Filter by category, date range, or engine, and get titles, links, and snippets. Public instances require no API key.
Build similarity search with Qdrant, a database for numerical representations of content. Store and retrieve vectors, filter results by metadata, connect retrieval to AI answers, and configure memory usage and deployment for larger workloads.
Modify and troubleshoot services managed by s6, a process supervisor, inside the Hermes Docker image. Trace startup scripts, inspect profile gateways, add static services, and investigate restart failures or file ownership problems.