Guard the Context Window
SkillFiles & storageKeeps your agent's working memory from overflowing by routing bulky data to subagents and keeping only summaries.
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
About this skill
Apply 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.
What this skill tells your AI
The instructions your AI receives, as published by backnotprop/pstack in 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 should be worth its cost.
Why: Context overflow degrades reasoning quality, creates compression artifacts, and halts progress.
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
- 646
- Forks
- 55
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
principle-guard-the-context-window-backnotprop- Source
- github.com/backnotprop/pstack