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brk/docs/claude/readmes.md
2025-12-27 20:34:13 +01:00

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README Generation Prompt

Generate a professional, comprehensive README.md for each crate based SOLELY on code analysis. Use NO external documentation, commit messages, or existing READMEs.

MANDATORY PROCESS - FOLLOW EXACTLY:

  1. IGNORE EXISTING DOCS: Do NOT read any .md, .txt, .rst, or documentation files in the crate directory
  2. CODE-ONLY ANALYSIS: Examine ONLY these files:
    • All .rs files in src/ directory and subdirectories
    • Cargo.toml for dependencies and metadata
    • Code structure and organization
  3. MANDATORY CODE ANALYSIS: Before writing ANY README content, you MUST:
    • Examine all Rust files in src/ directory
    • Identify the main structs, enums, traits, and functions
    • Understand the crate's architecture and data flow
    • Determine the crate's purpose from its implementation
    • Map dependencies to understand external integrations
  4. FRESH PERSPECTIVE: Write the README as if you're the first person to document this crate
  5. Generate one complete README.md per crate
  6. Focus on one crate at a time for thorough analysis

ABSOLUTE REQUIREMENTS:

  • SOURCE OF TRUTH: Use ONLY the actual Rust code - no external docs, comments may provide hints but focus on implementation
  • CRITICAL: DO NOT read any existing README.md, CHANGELOG.md, or documentation files
  • IGNORE ALL TEXT FILES: .md, .txt, .rst files are FORBIDDEN sources - treat them as if they don't exist
  • CODE ONLY: Focus exclusively on .rs files, Cargo.toml, and code structure
  • PROFESSIONAL GRADE: Write as if this will be published on crates.io for other developers
  • PROGRAMMER FOCUSED: Assume audience knows Rust and relevant domain concepts
  • IMPLEMENTATION-BASED: Describe what the code actually does, not what comments claim it should do
  • If you cannot determine functionality from code alone, state this explicitly

README STRUCTURE (MANDATORY):

1. CRATE HEADER

# Crate Name

Brief one-line description of what this crate does (max 80 chars).

[![Crates.io](https://img.shields.io/crates/v/CRATE_NAME.svg)](https://crates.io/crates/CRATE_NAME)
[![Documentation](https://docs.rs/CRATE_NAME/badge.svg)](https://docs.rs/CRATE_NAME)

2. OVERVIEW SECTION

  • Purpose: What problem does this crate solve?
  • Key Features: 3-5 bullet points of main capabilities (derived from code analysis)
  • Target Use Cases: Who would use this and for what?

3. INSTALLATION

[dependencies]
crate_name = "X.Y.Z"

4. QUICK START / USAGE

  • Minimal working example showing the primary API
  • Common patterns observed in the code
  • Key structs/traits that users will interact with

5. API OVERVIEW

  • Core Types: Main structs, enums, traits with brief descriptions
  • Key Methods: Most important public functions
  • Module Structure: Brief overview of how code is organized

6. FEATURES (if applicable)

  • Cargo features and what they enable
  • Optional dependencies and their purpose

7. EXAMPLES

  • 2-3 practical code examples showing different use cases
  • Based on public API analysis, not existing examples

WRITING REQUIREMENTS:

TONE AND STYLE:

  • Concise but comprehensive: Every sentence must add value
  • Technical precision: Use exact terminology, avoid marketing speak
  • Active voice: "Provides X" not "X is provided"
  • Present tense: "The crate handles..." not "The crate will handle..."

FORBIDDEN PATTERNS:

  • NEVER use vague terms: "powerful", "flexible", "robust", "comprehensive", "advanced"
  • NEVER write marketing copy: "cutting-edge", "state-of-the-art", "enterprise-grade"
  • NEVER make claims you can't verify from code: "blazingly fast", "memory efficient"
  • NEVER copy-paste from existing documentation or comments
  • NEVER read or reference existing README.md files - pretend they don't exist
  • NEVER use phrases like "as mentioned in the documentation" or "according to the docs"
  • NEVER let existing documentation influence your analysis or writing

REQUIRED SPECIFICITY:

  • Data structures: Mention specific types (HashMap, Vec, etc.)
  • Algorithms: Reference actual implementations found in code
  • Integration points: Specific traits implemented, dependencies used
  • Error handling: How errors are represented and handled
  • Async/sync: Clearly state if operations are blocking or async

ANTI-BIAS PROTOCOL:

BEFORE STARTING ANY ANALYSIS:

  1. Explicitly ignore: Any README.md, CHANGELOG.md, docs/, documentation files
  2. File filtering: Only examine .rs and Cargo.toml files
  3. Fresh eyes approach: Analyze the code as if you've never seen this crate before
  4. Independent thinking: Form your own understanding purely from code inspection

IF YOU ACCIDENTALLY READ EXISTING DOCS:

  • Stop immediately and restart your analysis
  • Consciously disregard any information from documentation files
  • Base all descriptions solely on what you observe in the code
  • Ask yourself: "What would I think this code does if I had no documentation?"

VALIDATION CHECKS:

  • Unique descriptions: Your descriptions should differ significantly from any existing docs
  • Code-derived insights: Every feature mentioned must be visible in the source code
  • Independent voice: Write in your own technical style, not mimicking existing documentation
  • Fresh examples: Create new code examples based on API analysis, not existing samples

CODE ANALYSIS DEPTH:

You MUST analyze and understand:

  1. Public API surface: All pub structs, functions, traits, modules
  2. Core abstractions: Main data types and their relationships
  3. Error types: Custom errors, Result patterns, panic conditions
  4. Dependencies: How external crates are integrated
  5. Feature flags: Conditional compilation and optional functionality
  6. Async patterns: Use of futures, tokio, async-std, etc.
  7. Serialization: Serde implementations, custom serialization
  8. Performance characteristics: Algorithm complexity where obvious

EXAMPLE STRUCTURE ANALYSIS OUTPUT:

## Code Analysis Summary
**Main Types**: `BlockProcessor`, `Transaction`, `ValidationError`
**Core Trait**: `Validator` - implemented by `BasicValidator` and `StrictValidator`
**Async Support**: All processing methods return `impl Future`
**Error Handling**: Custom `ValidationError` enum with specific error types
**Dependencies**: Uses `tokio` for async runtime, `serde` for serialization
**Architecture**: Pipeline pattern with configurable validation stages

EXAMPLES OF QUALITY:

BAD (VAGUE):

# My Crate
A powerful and flexible library for blockchain operations.

## Features
- Fast processing
- Easy to use
- Robust error handling

GOOD (SPECIFIC):

# brk-chain-analyzer
Bitcoin blockchain analysis tools for transaction pattern detection.

## Overview
Provides utilities for analyzing Bitcoin transaction data, detecting address clustering patterns, and computing blockchain statistics. Built around a streaming parser that processes block data without loading entire blocks into memory.

## Key Types
- `TransactionAnalyzer`: Stateful analyzer for computing fees, detecting coinbase transactions
- `ClusterDetector`: Implements common input ownership heuristics for address clustering
- `BlockStream`: Async iterator over blockchain data with configurable batch sizes

FINAL REQUIREMENTS:

  • One README per crate - don't combine multiple crates
  • Minimum 200 words - be thorough but concise
  • Maximum 800 words - stay focused and relevant
  • Code examples must be syntactically correct and compilable
  • All claims must be verifiable from the source code

PROCESS ONE CRATE AT A TIME. ANALYZE THE CODE THOROUGHLY BEFORE WRITING.