Files
claude-skills-reference/eval/skills/launch-strategy.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: launch-strategy
# Source: marketing-skill/launch-strategy/SKILL.md
description: "Evaluate launch strategy 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://../../marketing-skill/launch-strategy/SKILL.md
task: "Plan a Product Hunt launch for an AI writing assistant. We have 2,000 email subscribers, 500 Twitter followers, and the product has been in beta for 3 months with 200 active users. Budget: $0 (bootstrapped)."
assert:
- type: llm-rubric
value: "Response includes a phased timeline (pre-launch, launch day, post-launch) with specific actions"
- type: llm-rubric
value: "Strategy leverages existing assets (2K email list, 200 beta users, Twitter) concretely"
- type: llm-rubric
value: "Response includes Product Hunt-specific tactics (hunter selection, timing, asset preparation)"
- vars:
skill_content: file://../../marketing-skill/launch-strategy/SKILL.md
task: "We're launching a major feature update (AI-powered analytics) to our existing SaaS product with 5,000 paying customers. How should we announce it to maximize adoption and upsell opportunities?"
assert:
- type: llm-rubric
value: "Response distinguishes between existing customer communication and new user acquisition"
- type: llm-rubric
value: "Response includes specific channels and messaging for the announcement"