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optima

Token and agent FinOps — diet levels, zone routing, context hygiene, cache-aware API guidance.

Skill by julienlhk

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/julienlhk-optima

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Token and agent FinOps — diet levels, zone routing, context hygiene, cache-aware API guidance. Use when optimizing tokens, costs, agent verbosity, or context packing.

Use cases: backend, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/optima

What's inside

Skill name
optima
Description
Token and agent FinOps — diet levels, zone routing, context hygiene, cache-aware API guidance. Use when optimizing tokens, costs, agent verbosity, or context packing.
License
MIT
Instructions
58 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Optima Skill

## Overview

Apply production AI/token optimization without sacrificing correctness.

## When to use

- User asks to save tokens, reduce cost, or stop verbose agent output
- Long sessions approaching context limits
- Setting up Cursor/Claude/Codex FinOps rules
- Designing API prompts for prompt caching

## Levels

`/optima off|lite|on|ultra`

- **off** — no diet
- **lite** — compress chat only
- **on** — default FinOps (answer-first + surgical context)
- **ultra** — telegraphic chat; never telegraph code/docs/tests/IDs

## Process

1. Confirm diet level and zone (sacred wins for code/docs).
2. Prefer grep → targeted read → batch tools.
3. Respect ignore boundaries.
4. For API work: stable prefix, cache breakpoints, lint for timestamps.
5. Recommend taxonomy techniques from `@optima/classify` when coaching.

## Buckets

| Bucket | Rule |
|--------|------|
| A Replies | Answer-first |
| B Docs/plans | Dense |
| C Tests | Key + edge; never skip money/auth/data-loss |
| D Code | YAGNI, idiomatic — not cryptic |
| E Context | Grep-before-read, line ranges, min turns |
| F Tools | Batch, stop early |
| G Sub-agents | Cheap bounded search; strong model verifies |

## Rationalizations to reject

| Excuse | Response |
|--------|----------|
| "I'll dump the whole repo to be safe" | Surgical retrieval is safer and cheaper |
| "Ultra mode on the PRD" | Premium/sacred content stays precise |
| "Skip auth tests to save tokens" | Forbidden — quality floor |

## Verification

- [ ] Code/docs remain precise
- [ ] No critical tests skipped
- [ ] Context from ignores avoided unless required
- [ ] Zone 3 did not pollute Zone 0

From julienlhk/optima, MIT.

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Last commit (this folder)
Sep 17, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

optima skill. Agent Mart. https://agentmart.dev/skills/julienlhk-optima (last updated 2026-10-24)