Works with the AI tools you already use
Context Save Cli
by Roy Yuen
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
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See it in action
You say
Run context-save-cli on transcript.md and wiki/index.md. Identify key decisions regarding gpt-4o-mini and the auth validation path, then check for AI-smell.
Your agent does
Token Budget: 4500 -> 320 tokens (92% reduction) Durable Candidates:
- Decided: Use gpt-4o-mini for routing
- Path: /src/auth/validate.py verified
- Patch: Add 'retry_count' to user_config Open Questions:
- Should we persist JWTs in local storage or cookies? AI-Smell Score: 1 (Minimal)
What you get
About this skill
What it does
The Context Save CLI is a specialized utility designed to solve the "context window bloat" problem. It uses a bundled Python script to ingest massive transcripts, logs, or agent traces and compress them into high-signal, evidence-preserving reports. Unlike generic summaries, this skill identifies durable deltas—facts, decisions, and outcomes that actually matter for long-term memory—while discarding transient narrations and redundant assistant "self-talk".
Why use this skill
As sessions grow longer, LLMs become expensive and prone to hallucination. This skill acts as a middleware for your agent's memory. Instead of feeding the next agent a raw 50KB transcript, you feed it a 2KB compressed report. It includes built-in duplicate suppression (checking against existing wikis), AI-smell detection, and durable memory extraction. It ensures your project documentation stays lean, factual, and free of "AI-generated" fluff without needing multiple separate plugins.
Supported tools
- Python CLI: A standalone script for pre-filtering data before LLM processing.
- Format Support: Outputs in structured Markdown or JSON.
- Integration: Works with any wiki-style documentation or handoff brief system.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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