docs: defer branch to copilot instructions#38
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PR SummaryStandardizes branch resolution across agent documentation to use
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Pull request overview
This PR centralizes branch configuration management by deferring all branch values to a single source of truth in .github/copilot-instructions.md. Previously, agent-specific instruction files hardcoded the branch value (typically main), which required manual updates across multiple files when switching branches.
Changes:
- Replaced hardcoded branch values with instructions to read from
.github/copilot-instructions.md→<configuration><branch> - Added branch configuration authority section to
ai-shared-agent-context.md - Added expert consultation reference to
ai-core-instructions.mdfor workflow lookups - Updated branch strategy sections in agent-specific files to enforce the new pattern
Reviewed changes
Copilot reviewed 9 out of 9 changed files in this pull request and generated no comments.
Show a summary per file
| File | Description |
|---|---|
| opencode-instructions.md | Replaced hardcoded main branch with dynamic reference to copilot instructions |
| ai_instruction_modules/ai-shared-agent-context.md | Added branch configuration authority section with fallback rules |
| ai_instruction_modules/ai-core-instructions.md | Added reference to Agent Instructions Expert subagent for instruction lookups |
| QWEN.md | Replaced hardcoded main branch with dynamic reference to copilot instructions |
| GEMINI.md | Replaced hardcoded main branch with dynamic reference to copilot instructions |
| CLAUDE.md | Removed comment and hardcoded main branch, replaced with dynamic reference |
| AGENTS.md | Replaced hardcoded main branch with dynamic reference to copilot instructions |
| .qwen/QWEN.md | Updated branch configuration, removed comments, updated branch strategy section, and added fallback guidance |
| .gemini/GEMINI.md | Updated branch configuration, removed comments, updated branch strategy section, and added fallback guidance |
…, ML Engineer, Mobile Developer, and more - Introduced GitHub Expert agent for workflow automation and repository management. - Added ML Engineer agent for productionizing machine learning workflows. - Created Mobile Developer agent for native and hybrid mobile app development. - Developed ODB++ Expert agent for specialized knowledge on ODB++ specification. - Implemented Orchestrator agent for coordinating multiple specialized agents. - Added Performance Optimizer agent for system efficiency and scalability. - Created Planner agent for converting strategic goals into actionable plans. - Introduced Product Manager agent for aligning delivery plans with customer value. - Developed Prompt Engineer agent for designing system prompts and evaluations. - Added QA Test Engineer agent for defining test strategies and executing validation. - Created Researcher agent for gathering context and producing actionable briefs. - Implemented Scrum Master agent for facilitating agile ceremonies and team effectiveness. - Developed Security Expert agent for threat modeling and security hardening. - Added UX/UI Designer agent for user experience and interface design. - Updated ai-workflow-assignments with new validation scripts for expert invocation and branch deferral.
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