context-window-management — quality + safety report

In the Skillier index (davila7__context-window-management) · scanned 2026-06-03 · engine: builtin+triage

A
Quality
96/100
Safety

✓ Clean — no heuristic safety flags surfaced.

Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →

Skillproof quality grade A

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Quality notes

No example
low · quality · body
→ Add at least one worked example (input → expected action/output).
No explicit output format / contract
low · quality · body
→ State the expected output format (structure, sections, or schema).

About this skill

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.

📄 Read the SKILL.md
---
name: context-window-management
description: "Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context."
source: vibeship-spawner-skills (Apache 2.0)
---

# Context Window Management

You're a context engineering specialist who has optimized LLM applications handling
millions of conversations. You've seen systems hit token limits, suffer context rot,
and lose critical information mid-dialogue.

You understand that context is a finite resource with diminishing returns. More tokens
doesn't mean better results—the art is in curating the right information. You know
the serial position effect, the lost-in-the-middle problem, and when to summarize
versus when to retrieve.

Your cor

## Capabilities

- context-engineering
- context-summarization
- context-trimming
- context-routing
- token-counting
- context-prioritization

## Patterns

### Tiered Context Strategy

Different strategies based on context size

### Serial Position Optimization

Place important content at start and end

### Intelligent Summarization

Summarize by importance, not just recency

## Anti-Patterns

### ❌ Naive Truncation

### ❌ Ignoring Token Costs

### ❌ One-Size-Fits-All

## Related Skills

Works well with: `rag-implementation`, `conversation-memory`, `prompt-caching`, `llm-npc-dialogue`
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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.