Skip to content
Back to skills

Common Context Optimization

ASecurity

Maximize context window efficiency, reduce latency, and prevent lost-in-middle issues through strategic masking and compaction. Use when token budgets are tight, tool outputs flood the context, conversations drift from intent, or latency spikes from cache misses.

  • 549 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added June 6, 2026
developmentgo

Security analysis

A100/100

Pro scans all 4 files and shows the line behind each finding

Scanned June 6, 2026

npx -y skills add HoangNguyen0403/agent-skills-standard --skill common-context-optimization --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Common Context Optimization?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Common Context Optimization
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/hoangnguyen0403-common-context-optimization/badge)](https://www.skillsdirectory.com/skills/hoangnguyen0403-common-context-optimization)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: common-context-optimization
description: Maximize context window efficiency, reduce latency, and prevent lost-in-middle issues through strategic masking and compaction. Use when token budgets are tight, tool outputs flood the context, conversations drift from intent, or latency spikes from cache misses.
metadata:
  triggers:
    files:
    - '*.log'
    - 'chat-history.json'
    keywords:
    - reduce tokens
    - optimize context
    - summarize history
    - clear output
---
## **Priority: P1 (OPTIMIZATION)**


## 1. Observation Masking (Noise Reduction)

**Problem**: Large tool outputs (logs, JSON lists) flood context and degrade reasoning.
**Solution**: Replace raw output with semantic summaries _after_ consumption.

1. **Identify** outputs exceeding 50 lines or 1 KB.
2. **Extract** critical data points immediately.
3. **Mask** by rewriting history to replace raw data with summary placeholder.
4. **See** `references/masking.md` for patterns.

See [implementation examples](references/implementation.md) for masking patterns.

## 2. Context Compaction (State Preservation)

**Problem**: Long conversations drift from original intent.
**Solution**: Recursive summarization that preserves _State_ over _Dialogue_.

1. **Trigger** compaction every 10 turns or 8k tokens.
2. **Compact**:
 - **Keep**: User Goal, Active Task, Current Errors, Key Decisions.
 - **Drop**: Chat chit-chat, intermediate tool calls, corrected assumptions.
3. **Format**: Update System Prompt or Memory File with compacted state.
4. **See** `references/compaction.md` for algorithms.

See [implementation examples](references/implementation.md) for compacted state format.

## 3. KV-Cache Awareness (Latency)

**Goal**: Maximize pre-fill cache hits.

- **Static Prefix**: Enforce strict ordering — System -> Tools -> RAG -> User.
- **Append-Only**: Never insert into middle of history; append new turns only.

## References

- [Observation Masking Patterns](references/masking.md)
- [Compaction Algorithms](references/compaction.md)

## Anti-Patterns

- **No raw tool dumps**: Mask large outputs immediately after extracting data.
- **No unbounded growth**: Compact every 10 turns to preserve intent over dialogue.
- **No middle insertions**: Append-only history maximizes KV cache hits.

Files in this skill

  • SKILL.md2.2 KB
  • references/compaction.md713 B
  • references/implementation.md446 B
  • references/masking.md828 B

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.