json346 B

Anthropic-Compatible Fitness Instruction Prompt 14

JSON anthropic-compatible prompt 14 for the planning phase of a fitness instruction; it asks for assumptions, reversible actions, and explicit acceptance checks. Stable P8 artifact p8-prompt-134.

Prompt engineering Prompt testing Content creation

Preview — first 16 linesjson

{
  "model": "example-model",
  "max_tokens": 900,
  "system": "Keep creator edits reversible and testable.",
  "messages": [
    {
      "role": "user",
      "content": "Plan a fitness instruction; return assumptions, ordered actions, and acceptance checks."
    }
  ],
  "metadata": {
    "fixture": "p8-prompt-134",
    "offline": true
  }
}

Specifications

Prompt Number: 134
Provider Variant: anthropic-compatible
Topic: fitness instruction
Phase: planning
Example Kind: message-only
Delivery Mode: download-only
Provider: anthropic-compatible
Provenance: Synthetic deterministic P8 fixture generated by generation/p8_content.py; seed namespace 2026082300

Testing contract

Reference control

Scenario: Parse the JSON fixture using the anthropic-compatible envelope and extract its task plus response contract.
Expected result: The request targets a fitness instruction, identifies the planning phase, and requires assumptions, ordered actions, and acceptance checks without a network call.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Anthropic-Compatible Fitness Instruction Prompt 14” is a deterministic Novus Examples fixture for Prompt engineering, Prompt testing, Content creation. A templated prompt library in JSON Lines with tasks, tags, and placeholders — for testing prompt-management tools and JSONL parsers.

Documented properties for this file: JSON · 346 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Prompt fixtures are static, provider-labelled inputs and contracts — they do not call an API. For a six-step kit, follow workflowOrder from the brief through the expected output, then compare the documented assertions before trying the controlled edge case.

Code examples

import json

with open("p8-prompt-134.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/p8_content.py. Free for any use, no attribution required — license.