context-optimize
Skill2 starsChanged 8 months agoMITView on GitHub
Improve context efficiency and cache stability for long or complex sessions.
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill when context is growing quickly or cache consistency drops.
- Distinctive: line 43
Keep stable instructions unchanged during a session.
- Distinctive: line 44
Prefer summaries over re-sending raw large blocks.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Purpose
Use this skill when context is growing quickly or cache consistency drops.
Trigger
- Conversation becomes long and repetitive
- The model loses thread coherence
- Frequent prompt restarts or unstable behavior appears
Workflow
- Identify repeated, stale, or low-value context.
- Detect likely cache breakers (instruction churn, unstable prefixes).
- Propose cache-safe compaction and message hygiene rules.
- Produce an actionable operating checklist for next turns.
Output Template
## Context Health
- ...
## Cache Risks
- ...
## Optimization Actions
1. ...
2. ...
3. ...
## Session Rules
- ...Notes
- Keep stable instructions unchanged during a session.
- Prefer summaries over re-sending raw large blocks.
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- Joonghyun-Lee-Frieren/oh-my-antigravity★ 21319% same
- Joonghyun-Lee-Frieren/oh-my-gemini-cli★ 21319% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

