athola

context-optimization

@athola/context-optimization
athola
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Updated 1/18/2026
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name: context-optimization

Installation

$skills install @athola/context-optimization
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Details

Pathplugins/conserve/skills/context-optimization/SKILL.md
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Scoped Name@athola/context-optimization

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


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:

  • mecw-principles: MECW theory and the 50% context rule.

  • mecw-assessment: Context analysis and risk identification.

  • subagent-coordination: Workflow decomposition and delegation.

When to Use

  • Automatic: Keywords: context, tokens, optimization, MECW.

  • MECW Threshold: When context usage approaches 50% of total window size.

  • Complex Tasks: For tasks requiring multiple steps or analysis.

Core Hub Responsibilities

  1. Assess context pressure and MECW compliance.

  2. Route to appropriate specialized modules.

  3. Coordinate subagent-based workflows.

  4. Manage token budget allocation across modules.

  5. 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

  • Token Conservation: Receives usage strategies, returns MECW-compliant optimizations.

  • CPU/GPU Performance: Aligns context optimization with resource constraints.

  • MCP Code Execution: Delegates complex patterns to specialized MCP modules.

Resources

For implementation details:

  • MECW Theory: See modules/mecw-principles.md for core concepts and 50% rule.

  • Context Analysis: See modules/mecw-assessment.md for risk identification.

  • Workflow Delegation: See modules/subagent-coordination.md for decomposition patterns.