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    context-save-cli

    Context Save Cli

    by Roy Yuen

    Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.

    Updated Jun 2026
    103 views
    Security scanned

    $5

    · or 25 credits

    30-day refund guarantee

    Secure checkout via Stripe

    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
    • Ready for Codex CLI
    • Instant install

    Sample input

    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.

    Sample output

    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.

    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

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    File Scopes

    context-save-cli/**

    Codex CLI, Claude Code, SKILL.md-compatible agents

    Creator

    Frequently Asked Questions

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