context-engineering-pipeline
CommunitySystematically fix LLM context problems
Authorviktorbezdek
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Agents lose performance when their context degrades, token budgets are exceeded, or instructions are forgotten over long conversations. This skill systematically diagnoses and repairs those issues.
Core Features & Use Cases
- Diagnostic Phase: Identifies specific context pathologies such as lost‑in‑middle, poisoning, and instruction decay.
- Optimization Phase: Applies KV‑cache tuning, context partitioning, and observation masking to extend effective capacity.
- Compression Phase: Summarizes conversation history and anchors key facts while preserving essential information.
- Filesystem Persistence: Stores plans, scratch pads, and handoff files to maintain context across sessions.
- Use Case Example: Improve a customer‑support LLM that starts forgetting earlier user preferences after several dialogue turns.
Quick Start
Activate the context-engineering-pipeline skill to diagnose and improve my agent's context.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: context-engineering-pipeline Download link: https://github.com/viktorbezdek/skillstack/archive/main.zip#context-engineering-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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