common-context-optimization
$
npx mdskill add HoangNguyen0403/agent-skills-standard/common-context-optimization**Problem**: Large tool outputs (logs, JSON lists) flood context and degrade reasoning. **Solution**: Replace raw output with semantic summaries _after_ consumption.
SKILL.md
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---
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.