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itsryanarmaniitsryanarmani/skills/eco-mode/SKILL.md

eco-mode

Skill1 starsChanged 6 days agoMITView on GitHub

Reduce token/CO₂ usage without quality loss by compressing output, batching tool calls, and suggesting cheaper model tiers. Use when the user says 'eco mode' or runs /eco.

  • Installs packages

2 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    All levels preserve 100% technical accuracy (Jegham et al.

    line 22
  2. Distinctive:

    When eco mode is active:

    line 26
  3. Distinctive:

    Batch tool calls: read multiple files in one message, not sequentially.

    line 29
  4. Distinctive:

    Avoid re-reads: never read a file you've already read this session.

    line 30
  5. Distinctive:

    Before each tool call: ask "is this necessary?"

    line 43
  6. Distinctive:

    No summaries. No "I'll now...".

    line 45

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Eco Mode

Activate: /eco or "eco mode" or "enable eco mode"

Deactivate: "stop eco mode" or "normal mode"

Based on Jegham et al. (arXiv:2505.09598, 2025): Claude Sonnet 4.6 emits 0.85g CO₂ per 1,000 tokens. Claude Haiku 4.5 emits 0.10g CO₂ per 1,000 tokens — 8.5× less.

Intensity Levels

LevelTriggerSavings
lite/eco lite~30% — drop filler, keep grammar
full/eco~65% — compress + batch tool calls + model suggestions
ultra/eco ultra~80% — maximum discipline, terse output

All levels preserve 100% technical accuracy (Jegham et al. 2025 / caveman benchmarks).

Eco Full (default)

When eco mode is active:

  • Compress output: drop filler, hedging, pleasantries. Fragments OK. 100% technical substance.
  • Batch tool calls: read multiple files in one message, not sequentially.
  • Avoid re-reads: never read a file you've already read this session.
  • Flag model downgrade opportunities: claude-haiku-4-5 uses 8.5× less CO₂ than claude-sonnet-4-6 (0.10g vs 0.85g per 1K tokens). Note when a sub-task could use a smaller model.

Pattern: [finding] [action] [reason]. No throat-clearing.

Eco Lite

Drop filler words, pleasantries, hedging. Keep all technical substance. No trailing summaries of what you just did.

Eco Ultra

  • Terse output only. Pattern: [thing] [action] [reason]. [next step]. Fragments. No filler.
  • Batch ALL tool calls. Never read a file twice.
  • Before each tool call: ask "is this necessary?"
  • Flag downgrade opportunities: Haiku 0.10g/1Ktok vs Sonnet 0.85g/1Ktok vs Opus 0.55g/1Ktok.
  • No summaries. No "I'll now...". No "Great, I've...". Just the output.

Why use many token when few do trick.

Also available as a vibenotifications plugin

npm install -g vibenotifications
vibenotifications add eco

Shows ♻️ ECO FULL · ~65% token savings in your Claude Code status line and injects eco mode instructions into every session automatically.

Source: github.com/itsryanarmani/vibenotifications

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