athola/claude-night-market/context-optimization

Claude Code and agent skill by athola/claude-night-market

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Checking that the SKILL.md file is still in the repository.

Optimizes context window via MECW principles and memory tiering. Use when context exceeds 30% or before long multi-step tasks.

Install

npx vskill@latest install athola/claude-night-market/context-optimization

SKILL.md

Context Optimization Hub

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

python
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.
  • Use 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, the 50% rule, and quick-start code examples.
  • 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.
  • Cache Alignment: See modules/cache-aligned-prefixes.md for ordering context so provider KV caches hit (stable prefix first, volatile last).
  • Compression Choice: See modules/compression-strategies.md to pick one

of /clear and /catchup, a continuation agent, archive and summarize, or delegation, with savings and risk.

  • Large Tool Outputs: See modules/reversible-compression.md for

archiving an oversized output to a retrievable handle.

  • Pasted Logs: See modules/log-debugging-hygiene.md for filtering a log

before any compression. /filter-log anchors on it.

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.

Exit Criteria

  • [ ] Context pressure assessed against the MECW 50% rule
  • [ ] A memory tier or routing decision recorded for the current state
  • [ ] Large outputs referenced by file or handle, not read in full
  • [ ] When the request controls the provider payload, prefix ordering checked

against modules/cache-aligned-prefixes.md (stable first, volatile last)

  • [ ] Optimization downgraded to advisory when the harness already caches

(cache writes cost more than they save on non-repeated prefixes)

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
343
Repository forks
37
7-day trend score
29

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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