Community Import Smoke Test Agent Skill
A portable community plugin for validating Open Design plugin import flows.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/nexu-io/open-design --skill community-import-smoke-testWhat comes with it
7 063 bytes besides the instructionWhat it tells the agent to use
found in the instruction textThe instruction itself
1 sections, as written by the authorCommunity Import Smoke Test
Use this plugin when validating that Open Design can import community plugins
from a local folder, a zip archive, a GitHub subpath, or a marketplace entry.
When this plugin is applied:
- Identify the import path the user is testing: folder, zip, GitHub, or marketplace.
- Produce a compact import receipt that includes the plugin name, source kind,
files detected, and any user note.
- Keep the output intentionally small so install, apply, and provenance states
are easy to inspect in the UI.
Do not require network access, shell commands, external connectors, or secrets.
This plugin exists to exercise install and apply plumbing, not to perform a
production workflow.
Other skills for the same job
different authors, same section of the catalogue
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
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
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
How to use it
Take nexu-io/community-import-smoke-test 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.