OPEN LINK ↗
// 79d agoPRODUCT UPDATE
Anthropic adds evals to Agent Skills
Anthropic has added testing, measurement, and refinement workflows to Agent Skills so teams can validate custom skills, catch regressions, and improve trigger descriptions before shipping. The update turns Skills from reusable prompt wrappers into something closer to a maintained agent capability with feedback loops built in.
// ANALYSIS
This is the missing layer between “cool demo” and production-grade agent behavior.
- –Anthropic is explicitly framing Skills as software that should be evaluated against real failure cases, not just hand-waved with better prompts
- –The PDF form example is the key tell: Skills now have a path to catch brittle edge cases before they quietly break user workflows
- –The docs pair well with this launch by pushing concise instructions, validation loops, and model-specific testing across Haiku, Sonnet, and Opus
- –For AI teams, this makes Claude’s agent stack feel more like CI for workflows: define expected behavior, measure it, refine, repeat
// TAGS
agent-skillsagenttestingautomationapidevtool
DISCOVERED
79d ago
2026-03-09
PUBLISHED
79d ago
2026-03-09
RELEVANCE
8/ 10
AUTHOR
DIY Smart Code