Files
claude-skills-reference/eval/skills/aws-solution-architect.yaml
Leo 75fa9de2bb feat: add promptfoo eval pipeline for skill quality testing
- Add eval/ directory with 10 pilot skill eval configs
- Add GitHub Action (skill-eval.yml) for automated eval on PR
- Add generate-eval-config.py script for bootstrapping new evals
- Add reusable assertion helpers (skill-quality.js)
- Add eval README with setup and usage docs

Skills covered: copywriting, cto-advisor, seo-audit, content-strategy,
aws-solution-architect, agile-product-owner, senior-frontend,
senior-security, mcp-server-builder, launch-strategy

CI integration:
- Triggers on PR to dev when SKILL.md files change
- Detects which skills changed and runs only those evals
- Posts results as PR comments (non-blocking)
- Uploads full results as artifacts

No existing files modified.
2026-03-12 05:39:24 +01:00

42 lines
1.7 KiB
YAML

# Eval: aws-solution-architect
# Source: engineering-team/aws-solution-architect/SKILL.md
description: "Evaluate AWS solution architect skill"
prompts:
- |
You are an expert AI assistant. You have the following skill loaded:
---BEGIN SKILL---
{{skill_content}}
---END SKILL---
Now complete this task: {{task}}
providers:
- id: anthropic:messages:claude-sonnet-4-6
config:
max_tokens: 4096
temperature: 0.7
tests:
- vars:
skill_content: file://../../engineering-team/aws-solution-architect/SKILL.md
task: "Design a serverless architecture for a real-time notification system that needs to handle 10K messages per second with sub-200ms delivery. Users connect via WebSocket. Budget is $500/month."
assert:
- type: llm-rubric
value: "Response uses specific AWS services (API Gateway WebSocket, Lambda, DynamoDB, etc.) not generic cloud patterns"
- type: llm-rubric
value: "Response addresses the throughput requirement (10K msg/s) with concrete scaling strategy"
- type: llm-rubric
value: "Response includes cost estimation relative to the $500/month budget constraint"
- vars:
skill_content: file://../../engineering-team/aws-solution-architect/SKILL.md
task: "We're migrating a Django monolith from Heroku to AWS. We have PostgreSQL, Redis, Celery workers, and S3 for file storage. Team of 3 devs, no DevOps experience. What's the simplest production-ready setup?"
assert:
- type: llm-rubric
value: "Response recommends managed services appropriate for a small team without DevOps (e.g., ECS Fargate, RDS, ElastiCache)"
- type: llm-rubric
value: "Response includes a migration plan with phases, not just target architecture"