Detect available computational resources and generate strategic recommendations for scientific computing tasks. This skill automatically identifies CPU capabilities, GPU availability (NVIDIA CUDA, AMD ROCm, Apple Silicon Metal), memory constraints, and disk space to help make informed decisions about computational approaches.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add davila7/claude-code-templates --skill get-available-resourcesCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionget-available-resourcesExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill get-available-resourcesFetches get-available-resources from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/get-available-resources
Restart Cursor to activate get-available-resources. Access via /get-available-resourcesin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
scientific-brainstorming
davila7/claude-code-templates · AI/ML · same repo
senior-backend
davila7/claude-code-templates · Backend · same repo
research-grants
davila7/claude-code-templates · Productivity · same repo
ethical-hacking-methodology
davila7/claude-code-templates · Productivity · same repo
plotly
davila7/claude-code-templates · Productivity · same repo
shopify-development
davila7/claude-code-templates · Productivity · same repo
get-available-resources fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added get-available-resources from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
get-available-resources is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend get-available-resources for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in get-available-resources — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in get-available-resources — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
get-available-resources has been reliable in day-to-day use. Documentation quality is above average for community skills.
get-available-resources has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: get-available-resources is the kind of skill you can hand to a new teammate without a long onboarding doc.
get-available-resources fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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