Guard the Context Window
SkillFiles & storageApply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not raw payloads.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Guard the Context Window skill
What this skill tells your AI
The instructions your AI receives, as published by barbieri/local-openfinance in .agents/skills/principle-guard-the-context-window/SKILL.md and read by ahel’s review.
The context window is finite and non-renewable within a session. Every token that enters should earn its place.
Why: Context overflow degrades reasoning quality, creates compression artifacts, and halts progress. Unlike compute or time, context spent inside a session cannot be reclaimed.
Pattern:
- Isolate large payloads. Route verbose outputs, screenshots, and large documents to subagents. The main context gets summaries, not raw data.
- Don't read what you won't use. Read selectively based on relevance. If a file isn't needed for the current task, skip it.
- Keep frequently used content inline. Templates and references used on every invocation belong in the skill file, not in separate files that cost a read each time.
- Size phases and cap scope. Limit files per phase, set turn budgets, account for mechanism costs.
Signals
- GitHub stars
- 24
- Forks
- 2
- Last commit
- Sep 2026
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principle-guard-the-context-window- Source
- github.com/barbieri/local-openfinance