github-copilot-agent-tips-and-tricks
Tips and Tricks for Working with GitHub Copilot Agent PRs
Tips and Tricks for Working with GitHub Copilot Agent PRs
Plan for adding temporary ID support to safe output jobs
Query GitHub discussions efficiently with jq argument support for filtering
Query GitHub issues efficiently with jq argument support for filtering
Query GitHub pull requests efficiently with jq argument support for filtering
Error Message Style Guide for Validation Errors
HTTP MCP Header Secret Support - Implementation Summary
Instructions for refactoring JavaScript code into separate files
Check consistency of Manifest documentation across all sources (GitHub, website, ClawhHub, npm, skills) against the actual codebase. Produces a dissonance report with tables. Use when the user says "/ensure-manifest-docs-consistency", "check manifest docs", "docs consistency", or wants to audit Manifest documentation for contradictions.
Write release notes for completed changes. Use when PR modifies tracked paths and needs release notes entry.
Create custom agent capabilities when discovering novel tools, receiving task-agnostic tips from reviewers, or after researching specialized workflows not covered in existing instructions. Teaches structure, YAML optimization for LLM discoverability, and token efficiency.
Retrieve and analyze Azure DevOps build failures for GitHub PRs. Use when CI fails. CRITICAL: Collect ALL errors from ALL platforms FIRST, write hypotheses to file, then fix systematically.
Write a postmortem for a regression that escaped to production, broke real users, and traces back to a design flaw worth documenting for future implementors. Only invoke after confirming no existing postmortem or doc covers the same root cause.
Fix ILVerify baseline failures when IL shape changes (codegen, new types, method signatures). Use when CI fails on ILVerify job.
Detect flaky tests by scanning recent AzDo CI builds for test failures recurring across multiple unrelated PRs. Use when investigating intermittent failures, CI instability, deciding which tests to quarantine, or checking if RunTestCasesInSequence no-ops are causing parallel-safety issues.
Investigate compiler failures, test errors, or unexpected behavior through systematic minimal reproduction, 3-hypothesis testing, and verification. Always re-run builds and tests after changes.
Performs multi-agent, multi-model code review of F# compiler PRs across 19 dimensions including type checking, IL emission, binary compatibility, and IDE performance. Dispatches parallel assessment agents per dimension, consolidates with cross-model agreement scoring, and filters false positives. Invoke when reviewing compiler changes, requesting expert feedback, or performing pre-merge quality checks.