cap-evolve
Reduces AI agent drift and performance degradation by systematically tuning skills, tools, and prompts against your team's actual evaluation criteria, loweri…
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
- Evaluate your AI agent's performance on custom test cases and identify weak skills.
- Automatically refine agent prompts based on evaluation results to improve accuracy.
- Test different tool configurations against your benchmarks to optimize agent capabilities.
Reduces AI agent drift and performance degradation by systematically tuning skills, tools, and prompts against your team's actual evaluation criteria, lowering production failure risk.
Engineering teams deploying custom AI agents who need measurable quality assurance and continuous skill optimization.
https://github.com/skillberry-ai/cap-evolve
By skillberry-ai
How to Get It
claude plugins install skillberry-ai/cap-evolve
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me evaluate my AI agent's performance on custom test cases and identify weak skills
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.