anthropic-evals-and-observability
byamritmalla· 56 skills
Stars
12
Category
Use when an approved ai-architecture.md needs eval or observability coverage for an Anthropic Claude capability. Produces eval datasets, regression gates, prompt/model versioning, token/cost and cache telemetry, and traces. Not for model selection, RAG topology, or tool/agent design.
How to install anthropic-evals-and-observability?
amritmalla/claude-full-stack-2.0/anthropic-evals-and-observability
$npx -y skills add amritmalla/claude-full-stack-2.0 --skill anthropic-evals-and-observabilityInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/amritmalla/claude-full-stack-2.0" --skill "amritmalla/claude-full-stack-2.0/anthropic-evals-and-observability"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/amritmalla/claude-full-stack-2.0" that are relevant to the current task. Run `npx skills add "https://github.com/amritmalla/claude-full-stack-2.0"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-aiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.Jul 2026
- ai-research-exploreRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.Jul 2026
- ai-research-reproductionRigor Reproduce compatible skill slug for README-first deep learning repository reproduction.Jul 2026
- explore-codeRigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.Jul 2026
- run-trainRigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup…Jul 2026
- explore-runRigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.Jul 2026
