Configure GitHub Copilot custom agent files with YAML frontmatter schemas.
npx skills add https://github.com/githubnext/gh-aw --skill custom-agents
Please help me install this Agent Skill. Skill: custom-agents Source: https://github.com/githubnext/gh-aw/tree/main/skills/custom-agents Command: npx skills add https://github.com/githubnext/gh-aw --skill custom-agents
This Skill empowers users to define specialized AI agent behaviors and tool access through custom agent files, ensuring AI agents perform tasks precisely according to repository-specific standards and requirements. It helps optimize AI performance for specific development workflows.
read, edit, search, pr) an agent is allowed to use, enhancing security and focus.imports field..github/instructions/frontend.instructions.md file with applyTo: "src/frontend/**" and specific instructions.Consult the custom-agents skill to create a readme-creator.md agent profile that specializes in generating clear and comprehensive README files.
High-intent search queries and answers about installing and using this skill.
Configure repository-specific AI agents using custom agent files in YAML frontmatter format with name, instructions, and tool specifications. Define agents repository-wide, path-specific, or as custom profiles to enforce your development standards and control which tools agents can access.
Custom agents support granular tool control including read, edit, search, and pr tools. Specify exactly which tools an agent is allowed to use through the tools field in your agent configuration to enhance security and focus agent behavior on required tasks.
Yes, use path-specific instructions with the applyTo field to target agent behavior to particular directories or file patterns. This enables specialized agents—like frontend-specific or documentation-focused agents—to apply tailored rules only where needed.
Custom agents integrate with GitHub Agentic Workflows through the imports field in your agent configuration. This seamless integration lets you deploy tailored AI agent behaviors directly into your development workflows without additional setup.
Custom agents use a single YAML frontmatter file per workflow with required name field and optional description, prompt, tools, applyTo, MCP server, and settings fields. Store these in .github/instructions/ to apply repository-scoped or workflow-scoped behavior.
Yes, define custom agent profiles for task-specific workflows like README generation, test suite creation, code reviews, and documentation improvements. Each profile combines targeted instructions and tool access to optimize AI performance for distinct development tasks.
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