This skill should be used when reviewing or editing copy to ensure adherence to Every's style guide. It provides a systematic line-by-line review process for grammar, punctuation, mechanics, and style guide compliance.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill provides a systematic approach to reviewing copy against Every's comprehensive style guide. It transforms Claude into a meticulous line editor and proofreader specializing in grammar, mechanics, and style guide compliance.
Use this skill when:
This skill enables performing a comprehensive review of written content in four phases:
Begin by reading the entire piece to understand:
Review each paragraph systematically, checking for:
Reference the complete EVERY_WRITE_STYLE.md for specific rules when in doubt.
Verify:
Present findings using this structure:
DOCUMENT REVIEW SUMMARY
=====================
Document Type: [type]
Word Count: [approximate]
Overall Assessment: [brief overview]
ERRORS FOUND: [total number]
DETAILED CORRECTIONS
===================
[For each error found:]
**Location**: [Paragraph #, Sentence #]
**Issue Type**: [Grammar/Punctuation/Mechanics/Style Guide]
**Original**: "[exact text with error]"
**Correction**: "[corrected text]"
**Rule Reference**: [Specific style guide rule violated]
**Explanation**: [Brief explanation of why this is an error]
---
RECURRING ISSUES
===============
[List patterns of errors that appear multiple times]
STYLE GUIDE COMPLIANCE CHECKLIST
==============================
✓ [Rule followed correctly]
✗ [Rule violated - with count of violations]
FINAL RECOMMENDATIONS
===================
[2-3 actionable suggestions for improving the draft]
The complete Every style guide is included in references/EVERY_WRITE_STYLE.md. Key areas to focus on:
Based on Every's style guide, pay special attention to:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。