Create, enhance, and package AI skills from docs, repos, PDFs, or code.
npx skills add https://github.com/kenbanks-peng/skills --skill skill-seekers-kenbanks-peng
Please help me install this Agent Skill. Skill: skill-seekers Source: https://github.com/kenbanks-peng/skills/tree/main/skillseekers Command: npx skills add https://github.com/kenbanks-peng/skills --skill skill-seekers-kenbanks-peng
Developers face a fragmented workflow when creating, enhancing, packaging, and deploying AI skills from diverse sources. Skill Seekers provides a unified CLI to streamline this process.
Install and run the skill-seekers CLI to start creating and packaging your AI skills in minutes.
High-intent search queries and answers about installing and using this skill.
To create and package AI skills from documentation or a local codebase, you can use a unified CLI to automate scraping, enhancement, and packaging into ready-to-deploy outputs. This streamlines the fragmented workflow of converting diverse sources into deployable skills.
Yes, you can package AI skills for multiple targets including Claude, Gemini, OpenAI, and Markdown. The CLI supports multi-target outputs, allowing you to configure deployment formats and share your packaged skills across different platforms.
The best way to automate scraping and packaging pipelines for AI skills is using a dedicated CLI workflow. It orchestrates end-to-end pipelines including scraping, enhancement, packaging, and upload, handling config management and errors automatically.
Yes, the skill-seekers CLI supports converting GitHub repos and PDFs into AI skills. It automates the extraction and enhancement of content from these diverse sources, packaging them into ready-to-deploy formats for your target platforms.
Limitations of using a CLI workflow for packaging AI skills include handling complex or non-standardized source formats from diverse sources. While it manages config and errors, highly unstructured documentation or local code might require manual enhancement before packaging.
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