context-engineering-collection
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
347 skills found
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Perform comprehensive SEO audits covering technical foundations, crawlability, on-page optimization, and content E-E-A-T to improve search rankings and organic performance.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.
Manage Google Search Console indexing: track status, sync sitemaps with GSC data, handle indexing lag, and process false positives with prioritized markdown reports.
Automated OSINT reconnaissance agent for mapping external attack surfaces, identifying assets, and uncovering security vulnerabilities.
Recover deleted GitHub repository content, issues, PRs, and files using Wayback Machine CDX API queries and web archive snapshots.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Implement Google Gemini API vision capabilities for image/document analysis including captioning, object detection, segmentation, and multi-image comparison.
Implementation and maintenance guide for the atopile Language Server (LSP), providing IDE features like autocomplete and diagnostics for electronics design.
Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.
Synchronize English README.md with Chinese README_ZH.md, maintaining content parity and structural consistency for bilingual documentation projects.
Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.