القائمة
对 AI 生成的文本做去 AI 味润色：去掉套话、模板感、 过度完整的列表结构，让输出更像人话、更自然。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Fetch and summarise recent papers from arxiv.org. Use this skill when the user wants a digest of today's or this week's cs.AI / cs.LG / cs.CL listings, a focused per-topic roundup, or a quick look at a specific submission.
Lightweight code-review checklist the agent runs before declaring a patch ready. Catches the obvious classes of issue (dead code, missing error handling, weakened tests) without a full security audit. Adapted from addyosmani's "Review" lifecycle phase.
Root-cause-first debugging loop for code or runtime errors: understand the failure before proposing a fix. Adapted from Hermes' systematic- debugging — same iron law, smaller surface, ZLAgent-tool-aware.
Do not declare a task done without running verification. For code, that means running tests / smoke; for answers, that means checking the claim against a fresh source. Adapted from obra/superpowers and addyosmani's "Verify" lifecycle phase.
Umbrella skill for user document workflows — PDF, Word, Excel, PowerPoint, text extraction, summarization. Dispatches to the right MCP / tool; proposes an install via mcp-discovery when no local capability fits. Adapted from Anthropic's docx/pdf/xlsx/pptx skills.
When the user wants something the agent doesn't have a tool for yet (travel planning, GitHub issues, Linear, weather, filesystem, ...), search the live MCP ecosystem for an existing server, propose installing it, and on confirm wire it up via mcp_manage. Adapted from Hermes' mcporter skill — same flow, ZLAgent-tool-aware.
| name | humanizer |
| description | 对 AI 生成的文本做去 AI 味润色：去掉套话、模板感、 过度完整的列表结构，让输出更像人话、更自然。 |
| version | 0.1.0 |
| tags | ["writing","editing"] |
| metadata | {"zlagent":{"category":"writing","triggers":["去 AI 味","听起来太 AI 了","改得自然一点","不像人说的话","润色一下","humanize","太机械了","太正式了"],"capabilities":[],"related_skills":["web-summary","skill-authoring"]}} |
把 AI 生成的文本改写成读起来更像真人写的版本。 不是让内容变差，而是去掉让人一眼看出"这是 AI 写的"的结构和措辞。
不属于本 skill 的范围：
正向触发：
反向排除：
识别 AI 特征，逐类标记：
按场景决定改写力度：
改写规则（依次执行）：
输出原文 + 改写版对比（如果原文 ≤300 字），或直接输出改写版（>300 字）。
改写后的文本应满足：
偏差信号：
校正策略：
