whereismyai
Eval Skills
Eval Skills is an AI product development suite for coding agents that builds evaluations, runs experiments, and improves applications.
Eval Skills provides a toolkit of skills for coding agents that guides developers from the first inspectable AI execution to human error analysis, validated graders, repeatable experiments, and production feedback. It works with Claude Code, Codex, Cursor, and other assistants that support Agent Skills. The workflow suits product managers, engineers, solo builders, and teams building AI products who want to reuse existing traces, datasets, and evaluators. Users can choose from fully managed, local with managed graders, or fully local setups. The toolkit includes instructions, review scaffolds, Python and TypeScript tracing and runner templates, grader calibration tools, and portable interchange examples.
Eval Skills at a glance
Key features
- Inspect existing traces, datasets, and evals
- Review realistic cases and record human observations
- Group annotations into prioritized failure modes
- Build trusted evals and validate graders
- Run descent loops to test application improvements
- Maintain regression gates and fresh production evidence
Use it for
- Review real execution traces and discover failure modes
- Build evals from real failures and establish a baseline
- Check whether judges agree with expert labels
- Improve applications against validated evals using descent
Alternatives to Eval Skills
- Evals Skills — It helps avoid common mistakes and pitfalls when building AI evaluation suites.
- Agent Skills — Encodes senior-engineer workflows and quality gates into 24 skills.
- Tech Leads Agent Skills — Extends AI coding agents with security-scanned, specialized workflows and tools.
- Skill-Up — Measures behavior across cases and compares runs with and without skills.
- Darwin Skill — It autonomously optimizes agent skills through a validation-gated ratchet mechanism.
- .NET Skills — Curated .NET skills and custom agents for AI coding assistants.
- Skill Seekers — Converts 18 data sources into structured AI skills for 22 platforms.
- Claude Skills Pack — 388 production-ready skills across 13 tools with zero-dependency Python tools.
- Google Agent Skills — Access pre-configured automation skills for Google Cloud and developer tools.
- pstack — Improves AI coding agent outcomes with rigorous workflows.
- Microsoft Skills — Provides domain-specific knowledge to improve AI coding agent accuracy.
- AI Hero Skills — Encodes good engineering habits into your coding agent.
All Eval Skills alternatives