github-copilot-agent-tips-and-tricks
Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
433 skills found
Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.
Automated pipeline to download, split, and deeply analyze academic PDFs in structured batches to avoid context window limits and ensure high-quality comprehension.
Interview preparation system featuring company research, STAR story building, mock practice, salary strategy, and follow-up drafting.
Analyze, validate, and generate Schema.org structured data (JSON-LD). Detect markup, identify opportunities, and ensure compliance with Google's rich result guidelines.
Comprehensive ASO toolkit for App Store & Google Play. Master keyword research, metadata optimization, competitor tracking, review analysis, and performance benchmarking for mobile app growth.
Deep inquiry framework using Socratic questioning to examine beliefs, uncover hidden assumptions, test evidence, and reach nuanced understanding without lecturing.
Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.
Structured manuscript and grant review assistant utilizing checklist-based evaluation for methodology, statistical validity, and compliance with reporting standards like CONSORT and STROBE.
Interprets Culture Index (CI) surveys and behavioral profiles. Analyzes team composition, burnout risk, and hiring profiles using data-driven trait assessment.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.