
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
· or 25 creditsSecure 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
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)
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
$5
· or 25 creditsSecure 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
Known Limitations
- Requires Python 3.x installed.
- Pre-filtering is heuristic; must manually verify edge-case facts.
- No auto-writing to wikis; output is a patch suggestion only.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/context-save-cli -o /tmp/context-save-cli.zip && unzip -o /tmp/context-save-cli.zip -d ~/.claude/skills && rm /tmp/context-save-cli.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
File Scopes
Codex CLI, Claude Code, SKILL.md-compatible agents
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