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Found 5,357 Skills
Local RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), query them using natural language, and manage document lifecycles. This skill should be used when building local knowledge bases, searching personal documents, or performing document Q&A. Runs 100% locally with Ollama - no cloud, no data leaving your machine.
Use when combining information from multiple Glean sources or when needing to synthesize results across documents, meetings, code, and people searches. Triggers on complex queries that span multiple data types, when results seem contradictory, when building comprehensive answers from partial information, or when the user asks for a complete picture of something that requires multiple queries.
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates.
Interactive guide for creating new agent skills from scratch. Use this skill when the user wants to create a skill, write a SKILL.md, package a skill folder, or convert an existing workflow into a reusable skill. Also trigger when the user mentions "create skill", "new skill", "SKILL.md", "teach the agent", or wants to standardize a repeatable process into a skill.
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
MCP Status
AI perspective journaling - document daily experiences, emotions, and learnings from the agent's viewpoint. Use when asked about diary, journal entries, self-reflection, or documenting AI experiences. Creates structured daily entries capturing projects, wins, frustrations, learnings, and emotional states.
Ability to develop both front-end and back-end systems, integrating user interfaces with server logic and databases.
Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.
FastAPI production-grade best practices and guidelines for building scalable, high-performance web APIs. Covers project structure, async concurrency, Pydantic validation, dependency injection, and database patterns.
Check and configure UX testing infrastructure (Playwright, accessibility, visual regression)
Check for stale generated content and offer regeneration or promotion