context-optimization
Reduce context usage with MECW principles (keep under 50% of total window). Triggers: context pressure, token usage, MECW, context window, optimization, decomposition, workflow splitting, context management, token optimization Use when: context usage approaches 50% of window, tasks need decomposition, complex multi-step operations planned, context pressure is high DO NOT use when: simple single-step tasks with low context usage. DO NOT use when: already using mcp-code-execution for tool chains. Use this skill BEFORE starting complex tasks. Check context levels proactively.
$ Installer
git clone https://github.com/athola/claude-night-market /tmp/claude-night-market && cp -r /tmp/claude-night-market/plugins/conserve/skills/context-optimization ~/.claude/skills/claude-night-market// tip: Run this command in your terminal to install the skill
name: context-optimization description: | Reduce context usage with MECW principles (keep under 50% of total window).
Triggers: context pressure, token usage, MECW, context window, optimization, decomposition, workflow splitting, context management, token optimization
Use when: context usage approaches 50% of window, tasks need decomposition, complex multi-step operations planned, context pressure is high
DO NOT use when: simple single-step tasks with low context usage. DO NOT use when: already using mcp-code-execution for tool chains.
Use this skill BEFORE starting complex tasks. Check context levels proactively. category: conservation token_budget: 150 progressive_loading: true
Context Optimization Hub
Quick Start
Orchestrate specialized modules for context optimization:
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mecw-principles: MECW theory and the 50% context rule.
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mecw-assessment: Context analysis and risk identification.
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subagent-coordination: Workflow decomposition and delegation.
When to Use
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Automatic: Keywords:
context,tokens,optimization,MECW. -
MECW Threshold: When context usage approaches 50% of total window size.
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Complex Tasks: For tasks requiring multiple steps or analysis.
Core Hub Responsibilities
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Assess context pressure and MECW compliance.
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Route to appropriate specialized modules.
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Coordinate subagent-based workflows.
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Manage token budget allocation across modules.
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Synthesize results from modular execution.
Module Selection Strategy
def select_optimal_modules(context_situation, task_complexity):
if context_situation == "CRITICAL":
return ['mecw-assessment', 'subagent-coordination']
elif task_complexity == 'high':
return ['mecw-principles', 'subagent-coordination']
else:
return ['mecw-assessment']
Context Classification
| Utilization | Status | Action |
|-------------|--------|--------|
| < 30% | LOW | Continue normally |
| 30-50% | MODERATE | Monitor, apply principles |
| > 50% | CRITICAL | Immediate optimization required |
Integration Points
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Token Conservation: Receives usage strategies, returns MECW-compliant optimizations.
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CPU/GPU Performance: Aligns context optimization with resource constraints.
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MCP Code Execution: Delegates complex patterns to specialized MCP modules.
Resources
For implementation details:
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MECW Theory: See
modules/mecw-principles.mdfor core concepts and 50% rule. -
Context Analysis: See
modules/mecw-assessment.mdfor risk identification. -
Workflow Delegation: See
modules/subagent-coordination.mdfor decomposition patterns.
Repository
