Use when the user wants to systematically fix AI code slop — duplicated logic, over-engineering, silent error swallowing, convention drift, cargo-cult patterns, and other LLM-introduced architectural decay — over a specified duration.
Scan the codebase and classify every fact by lifecycle stage — tag @draft, @spec, or @implemented based on what the code actually shows. Add missing facts, fix inaccurate ones, remove obsolete ones. Use when asked to discover facts, bootstrap or update a fact sheet, scan the codebase for truths, sync facts to match…
CLI toolkit for managing containerized LLM services. Use when the user wants to start, stop, configure, or manage AI/LLM services like Ollama, Open WebUI, llama.cpp, vLLM, LiteLLM, ComfyUI, and 250+ others. Triggers on requests to "run a model", "start ollama", "set up an LLM", "configure harbor", "manage services"…
Build and test Kurtosis from source on local Docker. Compiles all components (engine, core, files-artifacts-expander), builds Docker images, installs the CLI, and restarts the engine. Use when developing Kurtosis and testing changes locally with Docker.
Inspect, download, upload, and debug Kurtosis file artifacts. View artifacts in an enclave, download them locally for inspection, upload local files, and troubleshoot file mounting issues. Use when services can't find expected files or configs are wrong.
Build, push, and deploy Kurtosis dev images to a Kubernetes cluster without creating a release. Rebuilds engine, core, and files-artifacts-expander as multi-arch Docker images with a unique tag, pushes to the logged-in user's Docker Hub, and restarts the engine. Use when testing local code changes on a k8s cluster.
A simulated panel of 66 investing styles that reviews a stock through nine approaches, including value, growth, trading, and technical analysis. It produces votes, representative comments, and a combined score.
A risk-profile setting for recording an investor's risk preference, available cash, and limits on individual or Hong Kong-listed stocks. It is an entry point for updating those portfolio constraints.
Deep-research methodology with a ROLE-BASED team of parallel sub-agents. One delegatetask batch dispatches 2–3 researchers (each on a distinct sub-question), 1 critic (adversarial counter-search), and 1 fact-checker (numeric/date verification). The lead synthesises their findings into a cited report at ./report.md.…
Fetch a web page and extract its main content as clean markdown via trafilatura. Strips navigation, ads, and footers automatically. Supports size presets (short/medium/long) and full mode with pagination for very long documents. Use after searcharvester-search to actually read the pages behind your URLs.
Search the web via SearXNG (100+ engines: Google, DuckDuckGo, Brave, Bing, Yandex, Mojeek, ...) through a Tavily-compatible API. Use when the user needs to find information, recent news, compare sources, gather facts, or locate specific URLs. Returns title + URL + short snippet for each result. For full page content…
This skill should be used when the user wants to interact with OpenClaw, delegate tasks to their AI assistant, or check gateway status. Activates for AI assistant delegation and orchestration.
Deploy the current project to the cloud using Defang. Guides through CLI setup, authentication, compose file creation, stack selection, config management, and deployment.
Use when the user asks to check before pushing, pre-push, verificar antes de pushear, run all checks, or quiere validar que todo pasa antes de hacer push. Auto-formats code then runs the same checks as CI (pytest, eslint, tsc).
Use when the user asks to run tests, ejecutar tests, lanzar tests, pytest, vitest, check types, typecheck, lint, or verify the codebase. Runs backend pytest, frontend vitest, frontend tsc/eslint/prettier, and backend ruff/black.
Release a new version of BranchBox. Use when the user says "release", "new version", "cut a release", "publish release", or "tag version". Handles version bumping, changelog updates, quality checks, and GitHub release workflow.
Skill "xcloud-docker-deploy" from Asif2BD/xCloud-Docker-Deploy-Skill, covering xcloud docker deploy v1.4.1, start here, how xcloud works, current xcloud api + agent skills context and api token flow.
Use when working with ANY Docker task: writing Dockerfiles, configuring docker-compose/compose.yml, multi-stage builds, docker-bake.hcl, container security audits, .dockerignore optimization, or CI/CD container testing. Triggers on: Dockerfile, docker-compose, container, image build, multi-stage, docker bake, compose.
Use when YOU (the AI agent) are running on Windows OUTSIDE WSL (Git Bash/MSYS/PowerShell shell) and need to run ANY docker / docker compose command. Docker Desktop runs on the WSL2 engine, so commands must be re-issued INSIDE WSL via wsl.exe -- running them from the Windows shell on a network/SMB drive (Z:, UNC)…
Self-hosted lightweight object storage speaking three interfaces at once — the S3 API (boto3 / AWS-SDK compatible, AWS Sig V4), a plain HTTP API (curl-friendly, Bearer auth), and MCP (Streamable HTTP tools for agents). Buckets/objects with SQLite metadata and flat-file storage on disk; buckets are config-defined (no…
Use when the user needs to inspect or manage Synapse-managed Docker/Compose infrastructure via flux, or SSH/local host files, processes, logs, ZFS, and allowlisted commands via scout. Prefer MCP tools first, CLI second, REST last; use write or confirmation-gated actions only when explicitly requested or necessary.