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anthropic-prompt-eval

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Updated 10-15 21:40

About this skill

anthropic-prompt-eval

Claude API (platform.claude.com) — Official reference covering prompt engineering techniques and model-specific prompting differences, evaluation design, grading, guardrails, and implementation guides for typical use cases.

For details on API calls themselves, such as the Messages API, structured outputs, and streaming, see anthropic-api-core area.

Directory structure

skills/anthropic-prompt-eval/
  SKILL.md
  references/
    prompt-engineering/
      README.md
      overview.md
      claude-prompting-best-practices.md
      prompting-claude-fable-5.md
      prompting-claude-opus-5.md
      prompting-claude-opus-4-8.md
      prompting-claude-sonnet-5.md
    test-evaluate/
      README.md
      develop-tests.md
      handle-streaming-refusals.md
      increase-consistency.md
      mitigate-jailbreaks.md
      reduce-hallucinations.md
      reduce-latency.md
      reduce-prompt-leak.md
    use-cases/
      README.md
      overview.md
      classification.md
      content-moderation.md
      customer-support-chat.md
      legal-summarization.md
      system-prompts.md
      ticket-routing.md
  samples/
    README.md
    prompt-template-structure.md
    classification-prompt.md
    rag-summarization-prompt.md
    guardrails-prompts.md
    eval-rubric-workflow.md
    model-specific-prompting.md

Exploration procedure

Derive the category from the task, and identify the target page in the category's README.md:

  1. Find the category corresponding to the task in the mapping table below
  2. of that category references/{category}/README.md(samples/ (the README.md directly under it) to identify the target page
  3. Read the target page's .md to confirm the details

Task → Category Mapping

Task Category Reference README
I want to know the basic techniques of prompt design (clarity, examples, XML tags, thinking, agentic systems) prompt-engineering references/prompt-engineering/README.md
I want to know the model-specific prompting differences and migration methods for Fable 5 / Opus 5 / Opus 4.8 / Sonnet 5 prompt-engineering references/prompt-engineering/README.md
I want to know how to define success criteria, build evaluations (evals), and use code-graded / LLM-graded appropriately test-evaluate references/test-evaluate/README.md
I want to know how to detect streaming refusals, improve output consistency, and counter jailbreak / prompt injection / hallucination / prompt leak / latency test-evaluate references/test-evaluate/README.md
I want to know implementation guides for classification, content moderation, customer support chat, legal summarization, and ticket routing use-cases references/use-cases/README.md
I want to know the release notes for system prompts of the claude.ai / iOS / Android apps use-cases references/use-cases/README.md
I want to know typical usage (prompt template structure, classification + eval, summarization, guardrails, eval rubric, model-specific tuning examples) samples samples/README.md