Anthropic Grade Optimizer

Audits and optimizes Claude-directing artifacts (CLAUDE.md, SKILL.md, subagent, hook, MCP config, system or user prompt, workflow, api_config) against 189 cited Anthropic rules across 11 dimensions, calibrated per model (Opus 4.7, Sonnet 4.6, Opus 4.6, Haiku 4.5). Every finding ships with verbatim quote and source URL; authorial voice is preserved.

20 stars 8 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add l0z4n0-a1/skill-anthropic-grade-optimizer --skill anthropic-grade-optimizer
Manual install
git clone --depth 1 https://github.com/l0z4n0-a1/skill-anthropic-grade-optimizer.git /tmp/skill-anthropic-grade-optimizer
mkdir -p ~/.claude/skills
cp -r /tmp/skill-anthropic-grade-optimizer/. ~/.claude/skills/anthropic-grade-optimizer

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Anthropic-Grade Optimizer

Audits any Claude-directing artifact against the official Anthropic doctrine,
calibrates findings by target model, and proposes surgical optimizations that
preserve authorial voice. Every finding cites a verbatim source URL; the skill
ships with cited rules only.

## Contents

- Hierarchy of authority
- Honest scope
- Quick start (and worked examples)
- The Three Laws
- Artifact types (9)
- Target-model modulation
- The 11 dimensions
- Severity → triage
- Emphasis conflict (D9, type-aware)
- Detection methods
- Operating modes
- Adaptive modes (auto-trigger)
- Output format (concise default)
- Workflow (10 steps)
- Scope discipline (positive framing)
- Edge cases
- Self-audit: Open Questions
- References (10 files)
- Assets (canonical snippets)
- Scripts (6 entry points)
- Validation (eval suite + strange-loop)

## Hierarchy of authority

Anthropic doctrine is the sole source of scoring rules. Optional interpretive
lenses inform *how* to reason about findings (what to preserve, when to defer,
how to phrase recommendations) — they stay outside the rubric. On collision,
Anthropic always wins.

## Honest scope

189 unique cited rules across 11 dimensions, each with a verbatim quote and
source URL. Read `references/rules-anthropic.yaml` § `meta.total_unique_rules`
for the canonical count — every other counter in the skill must read from
there to prevent drift. Rules with deterministic detection (regex,
Read the full skill on GitHub

Details

Skill name
anthropic-grade-optimizer
License
MIT
Repo updated
3 May 2026

FAQ

What does the Anthropic Grade Optimizer skill do?

Audits and optimizes Claude-directing artifacts (CLAUDE.md, SKILL.md, subagent, hook, MCP config, system or user prompt, workflow, api_config) against 189 cited Anthropic rules across 11 dimensions, calibrated per model (Opus 4.7, Sonnet 4.6, Opus 4.6, Haiku 4.5). Every finding ships with verbatim quote and source URL; authorial voice is preserved.

How do I install the Anthropic Grade Optimizer skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add l0z4n0-a1/skill-anthropic-grade-optimizer --skill anthropic-grade-optimizer. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Anthropic Grade Optimizer popular?

It lives in l0z4n0-a1/skill-anthropic-grade-optimizer, which has 20 GitHub stars and 8 forks.

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