askill
context-optimization

context-optimizationSafety 88Repository

Use this skill BEFORE starting complex tasks. Check context levels proactively. 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.

235 stars
4.7k downloads
Updated 3/31/2026

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SKILL.md

Table of Contents

Context Optimization Hub

Quick Start

Basic Usage

# Analyze current context usage
python -m conserve.context_analyzer

When To Use

  • Threshold Alert: When context usage approaches 50% of the window.
  • Complex Tasks: For operations requiring multi-file analysis or long tool chains.

When NOT To Use

  • Simple single-step tasks with low context usage
  • Already using mcp-code-execution for tool chains

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

UtilizationStatusAction
< 30%LOWContinue normally
30-50%MODERATEMonitor, apply principles
> 50%CRITICALImmediate optimization required

Large Output Handling (Claude Code 2.1.2+)

Behavior Change: Large bash command and tool outputs are saved to disk instead of being truncated; file references are provided for access.

Impact on Context Optimization

ScenarioBefore 2.1.2After 2.1.2
Large test outputTruncated, partial dataFull output via file reference
Verbose build logsLost after 30K charsComplete, accessible on-demand
Context pressureLess from truncationSame - only loaded when read

Best Practices

  • Avoid pre-emptive reads: Large outputs are referenced, not automatically loaded into context.
  • Read selectively: Use head, tail, or grep on file references.
  • Leverage full data: Quality gates can access complete test results via files.
  • Monitor growth: File references are small, but reading the full files adds to context.

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

  • MECW Theory: See modules/mecw-principles.md for core concepts and the 50% rule.
  • MECW Theory (Extended): See modules/mecw-theory.md for pressure levels, compliance checking, and monitoring patterns.
  • Context Analysis: See modules/mecw-assessment.md for risk identification.
  • Workflow Delegation: See modules/subagent-coordination.md for decomposition patterns.
  • Context Waiting: See modules/context-waiting.md for deferred loading strategies.

Troubleshooting

Common Issues

If context usage remains high after optimization, check for large files that were read entirely rather than selectively. If MECW assessments fail, ensure that your environment provides accurate token count metadata. For permission errors when writing output logs to /tmp, verify that the project's temporary directory is writable.

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

72/100Analyzed 3/24/2026

Well-structured skill for context window management with clear usage triggers, classification tables, and module architecture. Has strong clarity with TOC and troubleshooting. Penalized for deep plugin path suggesting internal-only use, and references external modules whose content is unknown. Core concepts and thresholds are reusable, though heavily tied to specific plugin system.

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Metadata

Licenseunknown
Version-
Updated3/31/2026
Publisherathola

Tags

ci-cdgithub-actionsllmobservabilitytesting