Create new agent skills and submit them to a Git repository.
npx skills add https://github.com/diegocanepa/agent-skills --skill add-skill-diegocanepa
Please help me install this Agent Skill. Skill: add-skill Source: https://github.com/diegocanepa/agent-skills/tree/main/skills/add-skill Command: npx skills add https://github.com/diegocanepa/agent-skills --skill add-skill-diegocanepa
This Skill streamlines the process of capturing valuable solutions from conversations and contributing them as new, reusable skills to the diegocanepa/agent-skills repository.
Use the add-skill skill to capture the solution to the current problem as a new skill.
High-intent search queries and answers about installing and using this skill.
Creating a new agent skill involves defining metadata, extracting core logic, and scaffolding the skill file. The process automates Git workflow steps like branch creation, commits, pushes, and pull request submission directly to your repository.
Yes, automating the Git workflow for skill contributions is supported. The process handles branch creation, commits, pushes, and pull request submission automatically, streamlining how new skills are added to the repository.
To extract core logic from a conversation and build a reusable skill, you identify a valuable solution, structure the content, and define metadata. This process guides you through capturing and packaging the solution iteratively based on feedback.
Yes, scaffolding and pushing new skills requires specific dependencies. The process relies on skill-creator, vcs-branch, vcs-commit, and vcs-change-request to automate repository management and pull request workflows.
The best way to package a complex integration solution into a reusable developer tool is to define its metadata, extract the core logic, and scaffold it into a skill file. This captures the solution for future automation and reuse.
Yes, you can refine skill metadata iteratively before submitting a pull request. The skill creation process supports iterative refinement based on user feedback to ensure the extracted logic and metadata are accurate before contribution.
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