Context optimization

Skill ComeOnOliver/skillshub/skills/HoangNguyen0403/agent-skills-standard/context-optimization

Techniques to maximize context window efficiency, reduce latency, and prevent 'lost in middle' issues through strategic masking and compaction.From its SKILL.md

Install

npx -y skills add ComeOnOliver/skillshub --skill context-optimization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.8 KB, 351 tokens by cl100k_base, as published. Nobody here has run it

Priority: P1 (OPTIMIZATION)

Manage the Attention Budget. Treat context as a scarce resource.

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.

Identify: outputs > 50 lines or > 1kb.
Extract: Read critical data points immediately.
Mask: Rewrite history to replace raw data with [Reference: <summary_of_findings>].
See: references/masking.md for patterns.

2. Context Compaction (State Preservation)

Problem: Long conversations drift from original intent. Solution: Recursive summarization that preserves State over Dialogue.

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

3. KV-Cache Awareness (Latency)

Goal: Maximize pre-fill cache hits.

Static Prefix: strict ordering: System -> Tools -> RAG -> User.
Append-Only: Avoid inserting into the middle of history if possible.

References

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.