Skip to main content

ccr

ccr — reversible payload compression: shrink any blob (tool output, log, RAG chunk, file) BEFORE it enters an LLM's context, while caching the full original locally so it can be expanded byte-for-byte on demand. The payload-axis counterpart to a knowledge-graph loader (the retrieval axis): the model sees a compact lossy view + a handle (ccr://<sha256>), and calls retrieve(handle) only when it needs the bytes back. Content-routed deterministic compactors (json skeleton / code outline / text head-tail); stdlib-only, no ML. Lifted from the CCR component of github.com/chopratejas/headroom. USE WHEN — a tool output / log / RAG chunk / file is too large for context and you want to compress it reversibly; "compress this payload", "shrink this before the model", "reversible compression", "cache the original and give me a handle". NOT FOR — loading knowledge-graph entities (that's the kg loader, the retrieval axis); lossless whole-file compression (use gzip); semantic summarization that does not need byte-exact recove

Ir a la instalación

Datos de origen

Repositorio
broomva/skills
Última actividad en el origen
26 de julio de 2026 a las 17:31
Idioma detectado de SKILL.md
inglés
Estrellas
3
Forks
2

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.