By alexclowe
A/B test prompt variants, run evals with statistical significance, audit skill files for injection risks and budget compliance, and stress-test prompts against adversarial inputs — all at production quality.
Build a custom evaluation rubric for a skill or prompt covering accuracy, tone, compliance, and latency
Static analysis of SKILL.md — checks frontmatter, edge cases, prompt-injection surface, and length budget
Version-control a skill, A/B test two variants, and output a statistical-significance verdict
Run a prompt against 10–100 synthetic test cases and produce a coverage and quality report
Prompt-engineering expertise for designing test cases, edge cases, adversarial inputs, and iterating on prompts based on eval results
Skill and prompt benchmarking expertise for measuring latency, accuracy, token cost, and token-budget compliance across variants
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub alexclowe/awesome-claude-cowork-plugins --plugin prompt-engineerSummarize depositions, build case timelines, draft motions, and manage discovery holds
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Write listing descriptions, draft client emails, and create market analysis narratives
Design experiments, profile datasets, build models, and audit them for bias before shipping
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Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
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