Review and rewrite prose that feels repetitive, vague, or formulaic while preserving its meaning, evidence, and voice. Get quoted examples of problems, a revised draft, an explanation of edits, and a second review.
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Audit and rewrite prose for repetitive, vague, or formulaic wording while preserving meaning, evidence, and the writer's voice.
安装前可以查看交给 AI 代理的指令内容。
Detects and fixes AI writing patterns ("AI-isms") that make text sound machine-generated. Covers 21 pattern categories with examples of plainer alternatives. The full upstream pattern catalog is not bundled in this AAS entrypoint; do not claim a complete 43-entry table is present.
21 pattern categories: formatting issues (em dashes, bold overuse, emoji headers, bullet-heavy sections), sentence structure problems (hedging, hollow intensifiers, rule of three), word/phrase replacements (43 entries like leverage→use, utilize→use, robust→reliable), template phrases, transition phrases, structural issues, significance inflation, copula avoidance, synonym cycling, vague attributions, filler phrases, generic conclusions, chatbot artifacts, notability name-dropping, superficial -ing analyses, promotional language, formulaic challenges, false ranges, inline-header lists, title case headings, and cutoff disclaimers.
Prompt:
Audit this for AI writing patterns:
"In today's rapidly evolving AI landscape, developers are embarking on a pivotal journey to leverage cutting-edge tools that streamline their workflows. Moreover, these robust solutions serve as a testament to the industry's commitment to fostering seamless experiences."
Output: The skill returns four sections:
These are editorial heuristics, not proof of AI authorship. Preserve factual claims, uncertainty, attributed quotations, code, identifiers, and the requested scope.
For audit-only requests, report findings without rewriting. Avoid replacing a precise technical term merely because it appears on a word list.
Does not detect AI-generated code, only prose
Pattern matching is guideline-based, not absolute — some flagged words are fine in context
The replacement table suggests alternatives but the best choice depends on context
Cannot verify factual claims or find real citations to replace vague attributions
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Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.
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Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.
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Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.
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Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.
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Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.
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Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.
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