by anthropic
Anthropic's 30+ page official guide covers the full skill lifecycle—from progressive disclosure architecture (frontmatter → SKILL.md → references) through five reusable workflow patterns, three-level testing, and organizational distribution—positioning skills as the knowledge layer that turns MCP's raw tool access into guided, reliable workflows.
by anthropic
AI's productivity gains shrink dramatically when you account for task reliability—Anthropic's new 'economic primitives' reveal that complex tasks show greater speedup but lower success rates, and AI disproportionately affects higher-skilled work.
by anthropic
Official documentation on Skills—markdown files that extend Claude Code with specialized knowledge and workflows, triggered automatically based on semantic matching.
by anthropic
AI coding assistants boost productivity dramatically but create a supervision paradox: effectively overseeing AI requires the deep technical skills that may erode from overreliance.
by anthropic
Context is a finite resource in LLM agents; treating tokens as precious budget rather than limitless capacity enables reliable long-horizon task completion.
