detect-ai-patterns
Diagnose formulaic writing patterns and authorial gaps before rewriting. Use when text feels generic, over-smoothed, abstract, or structurally mechanical and you need a targeted edit plan.
Best use case
detect-ai-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Diagnose formulaic writing patterns and authorial gaps before rewriting. Use when text feels generic, over-smoothed, abstract, or structurally mechanical and you need a targeted edit plan.
Teams using detect-ai-patterns should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/detect-ai-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How detect-ai-patterns Compares
| Feature / Agent | detect-ai-patterns | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Diagnose formulaic writing patterns and authorial gaps before rewriting. Use when text feels generic, over-smoothed, abstract, or structurally mechanical and you need a targeted edit plan.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Diagnose Writing Patterns Use this skill at the start of a de-flavoring task. Its job is not to rewrite. Its job is to identify what makes the text feel generic, unowned, or mechanically produced so later edits can stay targeted. ## When to Use Use this skill when: - the user asks to "remove AI flavor" from a passage - the text feels formulaic but you need a crisp diagnosis first - the user explicitly asks why a passage sounds stiff, generic, or AI-like ## What to Look For Scan for patterns such as: - template openings and empty framing - rigid symmetry like "first, second, finally" - stacked connectors that make logic feel mechanical - repeated sentence shapes or paragraph cadence - abstract, inflated wording with low information density - generic authority markers and fake profundity - canned warmth, canned empathy, or canned uplift - excessive list structure where prose would be more natural - translated-from-English Chinese phrasing - weak authorial judgment - places where the real point is buried under framing ## Output Keep the diagnosis short and actionable. Recommended structure: 1. `main_patterns`: the top 2-5 patterns 2. `severity`: low / medium / high 3. `rewrite_focus`: what the next stage should prioritize 4. `specificity_gaps`: where the text needs stronger grounding or sharper wording ## Rules - Quote only short trigger fragments when needed - Do not start rewriting in this stage unless the user asked for a combined result - Do not claim a text is "definitely AI-generated" - Frame this as pattern diagnosis, not authorship detection - Focus on revision priorities, not detector language ## Prompt Pattern Use a compact internal instruction shaped like this: ```text Read the passage and identify the strongest formulaic writing patterns. Focus on repeated structures, stacked transitions, empty significance claims, over-smoothing, low-information abstraction, and weak authorial judgment. Return only the main patterns, a severity level, specificity gaps, and rewrite priorities. Do not rewrite yet. ```
Related Skills
acpx
Use the ACPX CLI through DrClaw's existing exec/long_exec tools to run Codex in the current project workspace.
ui-ux-pro-max
[Frontend] Frontend UI/UX design intelligence - activate FIRST when user requests beautiful, stunning, gorgeous, or aesthetic interfaces. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks. Triggers on ui design, ux design, design system, color palette, typography, glassmorphism, claymorphism, neumorphism, bento grid, font pairing, ui-ux-pro-max, stunning interface, beautiful ui.
fetch
Fetch metadata and links from arXiv for a given query.
web_literature_mining
Scientific Literature Mining - Mine scientific literature: PubMed search, arXiv search, web search, and Tavily deep search. Use this skill for scientific informatics tasks involving pubmed search search literature search web tavily search. Combines 4 tools from 2 SCP server(s).
uniprot_deep_analysis
UniProt Deep Protein Analysis - Deep UniProt analysis: entry data, UniRef clusters, UniParc cross-references, and gene-centric view. Use this skill for protein science tasks involving get uniprotkb entry by accession get uniref cluster by id get uniparc entry by upi get gene centric by accession. Combines 4 tools from 1 SCP server(s).
synthetic_biology_design
Synthetic Biology Design - Design synthetic biology construct: gene lookup, codon optimization, protein property prediction, and structure prediction. Use this skill for synthetic biology tasks involving get sequence id DegenerateCodonCalculatorbyAminoAcid calculate protein sequence properties pred protein structure esmfold. Combines 4 tools from 4 SCP server(s).
structural_homology_modeling
Structural Homology & Evolution Analysis - Analyze protein evolution: get gene tree from Ensembl, find homologs, compare sequences, and predict structure. Use this skill for evolutionary biology tasks involving get homology symbol get genetree member symbol calculate protein sequence properties pred protein structure esmfold. Combines 4 tools from 3 SCP server(s).
proteome_analysis
Proteome-Level Analysis - Analyze at proteome level: get proteome from UniProt, gene-centric view, functional annotation from STRING. Use this skill for proteomics tasks involving get proteome by id get gene centric by proteome get functional annotation. Combines 3 tools from 2 SCP server(s).
protein_structure_analysis
Protein Structure Comprehensive Analysis - Comprehensive structure analysis: download PDB, extract chains, calculate geometry, quality metrics, and composition. Use this skill for structural biology tasks involving retrieve protein data by pdbcode extract pdb chains calculate pdb structural geometry calculate pdb quality metrics calculate pdb composition info. Combines 5 tools from 1 SCP server(s).
protein_solubility_optimization
Protein Solubility Optimization - Optimize protein solubility: calculate properties, predict solubility, predict hydrophilicity, and suggest mutations. Use this skill for protein engineering tasks involving calculate protein sequence properties predict protein function ComputeHydrophilicity zero shot sequence prediction. Combines 4 tools from 3 SCP server(s).
protein_similarity_search
Protein Similarity Search - Search for similar proteins: extract sequence from PDB, search structures with FoldSeek, find homologs with STRING, and check UniProt. Use this skill for bioinformatics tasks involving extract pdb sequence foldseek search get best similarity hits between species search uniprotkb entries. Combines 4 tools from 3 SCP server(s).
protein_quality_assessment
Protein Structure Quality Assessment - Assess structure quality: basic info, geometry analysis, quality metrics, composition, and visualization. Use this skill for structural biology tasks involving calculate pdb basic info calculate pdb structural geometry calculate pdb quality metrics calculate pdb composition info visualize protein. Combines 5 tools from 1 SCP server(s).