Context Optimizer

SkillDev tools

Lets your agent trim token usage and manage context so long sessions stay fast and within budget.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Context Optimizer skill

About this capability

Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.

What this skill tells your AI

The instructions your AI receives, as published by rohitg00/pro-workflow in skills/context-optimizer/SKILL.md and read by ahel’s review.

Manage your context window and token budget effectively.

Quick Diagnosis

  1. Run /context to check current usage
  2. If > 70% → compact now before it degrades
  3. If > 90% → you're in the "dumb zone", compact immediately

Optimization Strategies

Immediate

ActionSavesWhen
/compact30-50% contextAt task boundaries
Disable unused MCPs~5% per MCPWhen switching domains
Use subagents for explorationKeeps main context cleanHeavy search/read tasks
Fresh session via /resume100% resetWhen starting unrelated work

Configuration

Set proactive auto-compaction:

{
  "env": {
    "CLAUDE_AUTOCOMPACT_PCT_OVERRIDE": "50"
  }
}

MCP Audit

Keep <10 MCPs enabled, <80 tools total. Each MCP adds overhead to every request.

/mcp          # List active servers
# Disable what you're not using

Prompt Engineering for Token Efficiency

  • Scope your prompts: "In src/auth/, fix the login bug"
  • Provide constraints: "Don't modify the middleware"
  • Give acceptance criteria: "Should return 429 after 5 attempts"
  • Avoid vague prompts: "Fix the code" (forces Claude to read everything)

Subagent Delegation

Heavy operations that generate lots of output should go to subagents:

  • Test suite output → subagent
  • Large file exploration → subagent
  • Documentation generation → subagent
  • Log analysis → subagent

The main session stays clean while subagents handle the volume.

Context Budget Planning

PhaseTarget UsageAction If Over
Planning< 20%Keep plans concise
Implementation< 60%Compact between files
Testing< 80%Delegate to subagent
Review< 90%Start fresh session

Token Efficiency

Output Reduction (40-60% savings)

  • No sycophantic openers ("Sure!", "Great question!")
  • No closing fluff ("Let me know if you need anything!")
  • No prompt restatement before answering
  • Code first, explanation only if non-obvious
  • Structured output (tables, bullets) over prose
  • ASCII only: -- not em dashes, straight quotes not smart quotes

Behavioral Efficiency

  • One-pass coding: complete solution, test once, stop if green
  • Read before write: never modify unread files
  • No re-reads: don't re-read unchanged files
  • Tool-call budgets: 20 (quick fix) to 80 (large feature)
  • Never iterate more than twice on the same failure

Task Profiles

Switch response style based on context:

  • Coding: code first, minimal explanation, simplest solution
  • Agent/Pipeline: structured output only, no prose, parseable
  • Analysis: finding first, tables over paragraphs, sourced numbers

CLAUDE.md Optimization

  • Root CLAUDE.md: < 60 lines ideal, < 150 max
  • Move package-specific info to package-level CLAUDE.md
  • Move personal preferences to CLAUDE.local.md
  • Remove obvious or rapidly-changing information

When Context Is Degraded

Signs:

  • Claude repeats itself or forgets earlier context
  • Responses become generic or lose project-specific knowledge
  • Tool calls start failing for reasons that worked earlier

Fix:

  1. Manual /compact
  2. If still bad: new session with /resume
  3. For recurring issues: reduce CLAUDE.md size, disable MCPs

Signals

GitHub stars
3k
Forks
285
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
context-optimizer-rohitg00
Source
github.com/rohitg00/pro-workflow