write-compressor

Implement deterministic compressor encoders compatible with existing decoders.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/bianhaifeng789-hue/openclaw-config --skill write-compressor-bianhaifeng789-hue
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: write-compressor
Source: https://github.com/bianhaifeng789-hue/openclaw-config/tree/main/skills/tb2/write-compressor
Command: npx skills add https://github.com/bianhaifeng789-hue/openclaw-config --skill write-compressor-bianhaifeng789-hue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill explains how to implement compression encoders that produce output byte-for-byte compatible with an existing decoder and prevents subtle state divergence that breaks decompression, with a strong focus on arithmetic coding and other bit-level schemes.

Core Features & Use Cases

  • Decoder-first analysis: Reimplement the decoder as a simulator to trace state transitions (fraction, range, low) and derive the exact byte-output formulas.
  • Incremental implementation: Start with single-bit and single-integer encoders, extend to sequences, and only then attempt full-file compression.
  • Dual simulation verification & testing: Maintain encoder and decoder simulators, compare step-by-step debug traces, and add unit tests that assert state synchronization after every operation.
  • Practical use case: Implement a compressor for legacy archives that must interoperate with an existing arithmetic decoder where any mismatch causes data corruption.

Quick Start

Create a minimal Python encoder that encodes a single bit, run it against a Python decoder simulator, and verify state and decoded output match exactly.

Frequently Asked Questions about write-compressor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement an arithmetic coding encoder that is byte-for-byte compatible with an existing decoder?▼

To implement a compatible arithmetic coding encoder, you must match renormalization timing, byte-output formulas, and probability model updates exactly. Reimplement the decoder as a simulator to trace state transitions and derive the exact byte-output formulas.

Why does my arithmetic encoder cause state divergence and break decompression?▼

State divergence occurs when encoder and decoder probability model updates or renormalization timing mismatch. Prevent this by maintaining dual simulators, comparing step-by-step debug traces, and adding unit tests asserting state synchronization after every operation.

What is the best way to start developing a bit-level compressor for a legacy archive?▼

Start incremental implementation with single-bit and single-integer encoders, verify them against a decoder simulator, extend to sequences, and only then attempt full-file compression to ensure interoperability with the existing arithmetic decoder.

How do I unit test an incremental encoder to verify decoder state synchronization?▼

Write decoder-simulator unit tests that assert state synchronization after every operation. Maintain both encoder and decoder simulators, compare step-by-step debug traces for fraction, range, and low values, and verify decoded output matches exactly.

Can I use this approach to build a compressor for legacy archives with an existing arithmetic decoder?▼

Yes, this approach specifically targets legacy archives that must interoperate with an existing arithmetic decoder. By deriving exact byte-output formulas through decoder-first analysis, you prevent the subtle state divergence that causes data corruption.

Does this compression encoder implementation work with bit-level encoders and single-bit operations?▼

Yes, the implementation applies to bit-level encoders and incremental encoder development for single bits up to full-file compression. You start with a minimal encoder that encodes a single bit and verify state and decoded output match exactly.