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.
Install
npx skills add l0z4n0-a1/skill-anthropic-grade-optimizer --skill anthropic-grade-optimizergit 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-optimizerPersonal 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,
Details
- Skill name
anthropic-grade-optimizer- Repository
- l0z4n0-a1/skill-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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