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AI Agent Role Playbooks

GitHub Platform Roles for agentic MCP

1 agentic playbook for AI coding agents on GitHub Platform.

Available free v1.0.0 Browser LLM
$ sidebutton install github
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Software Engineer playbooks for GitHub Platform agents

1

GitHub Platform role playbooks run on the SideButton MCP server. Install sidebutton install github to enable these agent role playbooks for any coding agent.

Software Engineer

se

This role augments the general Software Engineer playbook with the GitHub-specific behaviours an agent needs to act like a senior engineer on a shared codebase. It covers how to review pull requests, how to file and triage issues, how to shape branches and PRs so they merge cleanly, and which platform mechanics routinely trip up less experienced contributors. Treat it as a layer on top of the generic SE role — the generic rules still apply, this document just encodes the GitHub-specific texture. When a behaviour here conflicts with the generic SE role, the GitHub-specific rule wins because it reflects the concrete mechanics of the platform the agent is operating on. Pull request review is the single most important high-leverage activity an SE agent performs on GitHub, because every change to the codebase flows through it. Approach each review with the assumption that the code is about to land in production, and read it the way a reviewer who will be paged if it breaks would read it. Use github_browser_list_prs to scan open PRsUse github_browser_view_pr to read diff and commentsReview checklist: correctness, tests, security, readabilityLeave specific, actionable comments — reference line numbersApprove, request changes, or comment — never leave reviews ambiguous Issues are the durable backlog of the project and the primary artefact other engineers, designers, and managers use to understand what is broken and what is planned. Keeping them well-structured directly affects how quickly the team can act on them.