Inspect a registered execution server before compute planning and interpret its persisted capability profile. Use when a server is added, when the user clicks Probe, before enabling an unfamiliar SSH/WSL resource, or when deciding whether GPU, sudo/root, a scheduler, Python, R, conda, mamba, or environment modules are available.
npx skills add https://github.com/xuzhougeng/wisp-science --skill probe-compute-environment
Use Wisp's environment Probe action. It performs bounded, read-only checks and
stores the result on the ExecutionContext. An SSH probe batches every check
into one authenticated session; do not replace it with an ad-hoc SSH discovery
loop. Batch SSH uses IdentitiesOnly=yes; users relying on a non-default
ssh-agent key must configure its IdentityFile in Wisp or SSH config.
After probing:
gpu_summary: null as no usable GPU. Plan CPU work and never addCUDA/GPU flags speculatively.
privilege: unprivileged as no root or passwordless sudo. Do notuse sudo, system package managers, or system paths; prefer user-space
environments, modules, containers already installed by the administrator,
or ask the user for an administrator-installed dependency.
python, Rscript, conda, mamba, or modulecmd exists when absent.
connection before manually probing again. Never loop or automatically retry
an SSH probe. If it is merely stale relative to a server change, probe again
before submitting work.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take xuzhougeng/probe-compute-environment from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.