context-engineering-expert
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
624 skills found
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Diagnose dotCMS CI/CD GitHub Actions failures, including PR builds, merge queue issues, and nightly test reports.
Provides targeted, concise English language editing and stylistic improvements for text without performing full rewrites.
Interface design guidance for utilitarian apps, focusing on dashboards, admin panels, and data-heavy UIs using a component-library-first approach.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Manages Cloudflare zones via API. Use for purging cache, querying DNS records, and monitoring analytics via GraphQL.
Standardized skill for managing and formatting Windsurf AI rules, ensuring adherence to strict character limits and single-file requirements.
Orchestrate visual communication by drawing diagrams, flowcharts, and annotations on a TLDraw canvas via CLI. Ideal for architectural planning, PR reviews, and logging agent output.
Creates well-formed, actionable engineering tasks from requirements using vertical slicing, INVEST principles, and Example Mapping.
Validates Skill, Agent, and Command syntax using validate_skills.py, logs errors, and manages the automated QC workflow for agent development.
Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.
Standardized configuration and management for Django production server and worker processes.