skills-sh-searcher_skill

Overview

This skill searches and downloads skills from the skills.sh marketplace and makes them available locally for immediate use. It finds relevant agent skills by keyword, ranks results by popularity and relevance, and fetches selected packages into a local skills directory. The skill converts marketplace metadata to a standard skill card format so downloaded skills integrate with your agent environment.

How this skill works

The skill queries the skills.sh leaderboard and parses each entry for name, installs, URL, and tags. It filters and ranks matches by keyword relevance and minimum install count, then downloads chosen skill packages from their source (e.g., GitHub). Downloaded packages are converted into a standard skill card format and placed in the local .opencode/skill/ directory so they can be installed or activated immediately.

When to use it

• When you need a ready-made skill to handle tasks like PDF processing, document editing, or web scraping.
• When you want to discover popular or niche skills by keyword instead of searching manually on the marketplace.
• When you want to bootstrap an agent by adding community-tested skills quickly.
• When you need to evaluate or compare multiple skills before integrating one into a workflow.

Best practices

• Use specific keywords (filetypes, task names, or libraries) to narrow search results.
• Prefer higher install counts for more mature and well-tested skills.
• Review downloaded skill metadata and README-equivalent docs before running in production.
• Download and test skills in an isolated environment before enabling them for live agents.
• Keep a local cache of downloaded skill metadata to speed repeated searches.

Example use cases

• Search for and install PDF extraction and annotation skills for document pipelines.
• Find web scraping skills that use common libraries (e.g., BeautifulSoup) to collect site data.
• Pull Excel and CSV transformation skills to automate data cleaning and reporting.
• Rapidly assemble a set of frontend-design and testing skills for automated UI validation.
• Evaluate multiple document-processing skills to choose the best fit for an ingestion pipeline.