delight

Part of the Atomic agent framework, this skill enables deep codebase research by dispatching specialized sub-agents — a codebase-locator finds relevant files, a codebase-analyzer reads implementations, and an online-researcher queries external docs.

Part of the Atomic agent framework, this skill explains code functionality in detail using DeepWiki to provide comprehensive code understanding and documentation.

Part of the Atomic agent framework, this skill helps create, improve, and optimize prompts using best practices, within Atomic's multi-agent architecture that dispatches specialized sub-agents for focused task execution.

An Atomic SDK skill for summarizing transcripts at session boundaries while preserving actionable information to manage long-running agent sessions.

An Atomic SDK skill for optimizing LLM context usage through KV-cache optimization, observation masking, and context budgeting techniques.

An Atomic SDK skill providing expert guidance on TypeScript type-level programming, performance optimization, and version migrations.

An Atomic SDK skill for validating task-model fit before building and estimating costs for AI agent development projects.

An Atomic SDK skill for designing clear tool contracts and reducing agent-tool friction in AI coding agent workflows.

An Atomic SDK skill covering how LLM context windows work, including attention mechanics and progressive disclosure techniques for effective context management.

An Atomic SDK skill for diagnosing context degradation issues such as lost-in-the-middle effects, context poisoning, and distraction failures in long-running agent sessions.