Total 36,113 skills
Showing 12 of 36113 skills
Use when structuring and reusing code with Ansible roles for modular, maintainable automation and configuration management.
Local SEO Analysis and Optimization Expert. Automatically detect whether a project requires local SEO, analyze NAP (Name, Address, Phone) consistency, local keyword optimization, Google Business Profile (GBP) optimization, and local structured data generation. Provide search engine ranking optimization suggestions for local businesses, including NAP standardization, local keyword strategies, GBP completeness checks, review strategies, map embedding, and local SEO audits.
Expert knowledge of academic writing standards for peer-reviewed papers, including citation integrity, style compliance, clarity, and scientific writing best practices. Use when reviewing or editing academic manuscripts, papers, or research documentation.
Internal vs external career growth paths, goal setting, career maintenance, and long-term planning for software engineers. Use when deciding between internal promotion vs external job search, setting career goals, or planning long-term career trajectory.
Agent skill for neural-network - invoke with $agent-neural-network
Create or update `tasks/todo.md` as the prioritised project backlog with clear `feat`/`fix`/`chore` items and ordering. Triggers: new backlog, update todo.md, add backlog item, reprioritise roadmap.
Schedule tasks with safety; use withoutOverlapping, onOneServer, and visibility settings for reliable cron execution
Run project commands with just. Check for justfile in project root, list available tasks, execute common operations like test, build, lint. Triggers on: run tests, build project, list tasks, check available commands, run script, project commands.
Database and HTTP connection pooling patterns for Python async applications. Use when configuring asyncpg pools, aiohttp sessions, or optimizing connection lifecycle in high-concurrency services.
AG-UI protocol implementation guidance for event ordering (`RUN_STARTED`, `TOOL_CALL_*`, `STATE_SNAPSHOT`/`STATE_DELTA`), streaming semantics, and middleware patterns. Use when integrating agent backends with AG-UI clients.
Create, test, and maintain Homebrew formulas. Use when adding packages to a Homebrew tap, debugging formula issues, running brew audit/test, or automating version updates with livecheck. Use when creating a new Homebrew formula for a project.
Redis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.