Context Optimizer
SkillDev toolsLets 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.
No other account needed.
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
- Run
/contextto check current usage - If > 70% → compact now before it degrades
- If > 90% → you're in the "dumb zone", compact immediately
Optimization Strategies
Immediate
| Action | Saves | When |
|---|---|---|
/compact | 30-50% context | At task boundaries |
| Disable unused MCPs | ~5% per MCP | When switching domains |
| Use subagents for exploration | Keeps main context clean | Heavy search/read tasks |
Fresh session via /resume | 100% reset | When 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
| Phase | Target Usage | Action 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:
- Manual
/compact - If still bad: new session with
/resume - 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