
context-save-cli
by Roy Yuen
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
- Shrink 100k+ token traces into 1k token durable memory snapshots
- Extract technical decisions and commands from messy developer chat logs
- Update project wikis without duplicating information already documented
$5
One-time purchase · Own forever
Included in download
- Shrink 100k+ token traces into 1k token durable memory snapshots
- Extract technical decisions and commands from messy developer chat logs
- terminal automation included
- Includes example output and usage patterns
See it in action
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)
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
$5
One-time purchase · Own forever
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Shrink 100k+ token traces into 1k token durable memory snapshots
- Extract technical decisions and commands from messy developer chat logs
- terminal automation included
- Includes example output and usage patterns
- Instant install
See it in action
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)
Screenshots
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.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
Use Cases
- Shrink 100k+ token traces into 1k token durable memory snapshots
- Extract technical decisions and commands from messy developer chat logs
- Update project wikis without duplicating information already documented
- Detect and remove "AI-style" flowery language from technical documentation
How to Install
unzip context-save-cli.zip -d ~/.claude/skills/Reviews
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