humanizer

21.8k

davila7

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

knowledge-synthesis

8.4k

anthropics

Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.

humanizer

4.7k

blader

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

commit

3.6k

parcadei

Create git commits with user approval and no Claude attribution

humanizer-en

2.9k

op7418

Remove traces of AI generation from text. Suitable for editing or reviewing text to make it sound more natural and more like human writing. Based on Wikipedia's comprehensive guide to 'AI Writing Features'. Detect and fix the following patterns: exaggerated symbolism, propagandistic language, shallow analysis ending in -ing, vague attribution, overuse of dashes, three-part rule, AI vocabulary, negative parallelism, excessive connective phrases.

report-generation

2.0k

apconw

Generate data analysis reports: Query data → In-depth analysis and attribution → Output HTML visualization report

humanize-ai

1.8k

openclaw

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

find-stl

1.8k

openclaw

Search and download ready-to-print 3D model files (STL/3MF/ZIP) for a concept or specific part by querying Printables (first). Use when an agent needs to find an existing model, capture license/attribution, download the source files, and output a local folder + manifest for quoting/printing.

model-alias-append

1.8k

openclaw

Automatically appends the model alias to the end of every response with integrated hook functionality and configuration change detection. Use when transparency about which model generated each response is needed. Use when: providing model transparency, tracking which model generated responses, monitoring configuration changes, or ensuring response attribution.

humanizer

1.8k

openclaw

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

humanizer

1.1k

MooseGoose0701

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Humanizer-ZH

1.1k

DP-Skills

Remove traces of AI generation from text. Suitable for editing or reviewing text to make it sound more natural and more like human writing. Based on Wikipedia's comprehensive guide "AI writing characteristics." Detects and repairs the following patterns: exaggerated symbolism, promotional language, shallow analyses ending in -ing, vague attribution, overuse of dashes, the three-part rule, AI-specific vocabulary, negative parallelism, and excessive connective phrases.

Humanizer

1.1k

DP-Skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

writing-anti-ai

1.0k

Galaxy-Dawn

This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.

meteorology-driver-classification

571

benchflow-ai

Classify environmental and meteorological variables into driver categories for attribution analysis. Use when you need to group multiple variables into meaningful factor categories.

shap-explainer

376

a5c-ai

SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.

analytics-attribution

324

aitytech

Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.

app analytics

207

Eronred

When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.

humanizer

191

jdrhyne

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

license-header-adder

177

rominirani

Adds the standard open-source license header to new source files. Use involves creating new code files that require copyright attribution.

attribution-analysis-modeling

152

liangdabiao

Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.

format-commit-message

131

maslennikov-ig

Generate standardized conventional commit messages with Claude Code attribution. Use when creating automated commits, release commits, or any git commit requiring consistent formatting.

utm-builder

119

nicepkg

Generate UTM-tagged URLs for campaign tracking. Create consistent, organized tracking links for Google Analytics, HubSpot, and other analytics platforms. Supports bulk generation, naming conventions, and campaign documentation. Use when creating tracking links, campaign URLs, or organizing marketing attribution.

pr-review-cycle-retro

98

victorGPT

Use when a team sees repeated @codex review cycles or Codex Cloud feedback churn and needs root-cause attribution by development stage.

backend-mvp-guardrails

98

victorGPT

Use when designing or reviewing a backend MVP with tight budget, evolving schema, and reliance on third-party backends where idempotency, replay, and responsibility attribution are high-risk.

attribution

96

gtmagents

Use to define measurement, data sharing, and ROI reporting for joint campaigns.

attribution-playbook

96

gtmagents

Standard operating guide for campaign tagging, attribution models, and QA.

deep-dive-ioc

87

dandye

Perform exhaustive analysis of a critical IOC. Use when an IOC needs Tier 2+ investigation beyond basic enrichment - includes GTI pivoting, deep SIEM searches, correlation with related entities, and threat attribution. For escalated IOCs requiring comprehensive investigation.

humanizer

82

usenotra

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written, including changelogs and release notes that feel too robotic. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

humanize

56

pproenca

Remove signs of AI-generated writing from text (formerly human-writing). Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

newsroom-style

45

jamditis

Enforce AP Style and newsroom conventions for journalism writing. Use when writing news articles, editing drafts, creating headlines, or converting notes into publishable copy. Ensures professional standards for attribution, numbers, dates, and formatting.

interview-prep

45

jamditis

Prepare for journalism interviews with research checklists, question frameworks, and attribution guidelines. Use when preparing to interview sources, planning follow-up questions, or managing interview logistics. Covers consent, recording laws, and professional protocols.

marketing-leads-generation

34

vasilyu1983

Use when building or fixing B2B pipeline. Revenue-aligned demand generation with lead types, funnel design, conversion paths, scoring/routing, attribution, ABS motions, and compliance.

marketing-content-strategy

34

vasilyu1983

Content strategy and operations for marketing teams. Positioning, messaging hierarchy, content pillars, editorial calendars, trust-building content, brand architecture, GEO/AI discovery, and content ROI measurement. Use for positioning sprints, trust audits, messaging matrices, content pillar planning, editorial ops, or ROI attribution (including regulated industries).

marketing-product-analytics

34

vasilyu1983

Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform support (Pendo, Amplitude, Mixpanel, Heap).

marketing-paid-advertising

34

vasilyu1983

Paid advertising strategy for Google, Meta, TikTok, LinkedIn - campaign structure, bidding, audiences, creative, measurement, budget allocation, unit economics (CAC/LTV), revenue attribution, incrementality, payback period, and sales alignment.

visualization-choice-reporting

31

lyndonkl

Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, comparisons, distributions, relationships, compositions), building dashboards or reports, presenting metrics to stakeholders, monitoring KPIs, exploring datasets for insights, communicating findings from analysis, or when user mentions "visualize this", "what chart should I use", "create a dashboard", "analyze this data", "show trends", "compare these metrics", "report on", "what does this data tell us", or needs to turn data into actionable insights. Apply to business analytics (revenue, growth, churn, funnel, cohort, segmentation), product metrics (usage, adoption, retention, feature performance, A/B tests), marketing analytics (campaign ROI, attribution, funnel, customer acquisition), financial reporting (P&L, budget, forecast, variance), operational metrics (uptime, performance, capacity, SLA), sales analytics (pipeline, forecast, territory, quota attainment), HR metrics (headcount, turnover, engagement, DEI), and any scenario where data needs to become a clear, actionable story with the right visual form.

git-commit

31

melodic-software

Comprehensive Git commit workflow using the Conventional Commits format with safety protocols. Create, validate, and execute commits following best practices. Use when creating commits, drafting commit messages, handling pre-commit hooks, creating pull requests, or uncertain about commit safety, timing, or message format. CRITICAL - Always invoke before any commit operation - contains NEVER rules, attribution requirements, and proper message formatting.

fluff-detector

27

majesticlabs-dev

Detect human-oriented content in LLM artifacts. Flags attribution, personas, redundant explanations, marketing language, and decorative elements that waste tokens without improving LLM behavior.

humanizer

27

steveclarke

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

license-header-adder

24

JulienBreux

Adds the standard open-source license header to new source files. Use involves creating new code files that require copyright attribution.

report-findings

23

outfitter-dev

This skill should be used when synthesizing multi-source research, presenting findings with attribution, or when "report", "findings", or "synthesis" are mentioned.

changelog-generator

22

CuriousLearner

Automatically generate changelogs from git commits following Conventional Commits and semantic versioning. Parses commit messages to classify changes (feat, fix, docs, perf, refactor, ci, chore, etc.), detects BREAKING CHANGE markers and type! footers, groups related changes, and suggests major/minor/patch version bumps including pre-release handling. Outputs well-structured Markdown in Keep a Changelog format with clear section headers, release dates, version metadata, commit and PR links, and optional author attribution. Produces migration guidance for breaking changes, tracks deprecations, and supports filters such as since/unreleased/version for targeted releases. Ideal for release engineers, maintainers, and CI pipelines to ensure consistent, auditable changelogs, reduce manual errors, enforce best practices, and accelerate release workflows.

research-to-essay

22

leegonzales

Research-driven essay and post creation with thematic synthesis, citation management, and voice calibration. Use when creating Substack/LinkedIn posts, long-form essays synthesizing multiple sources, or publication-grade writing requiring web search, narrative arc, and proper attribution. Triggers include "research and write about [topic]" or "dig into this idea and write.",

martech-system-architecture

19

samarv

Design and implement a scalable marketing technology stack that balances first-party data collection with third-party tools. Use this skill when moving beyond basic conversion tracking, consolidating redundant SaaS tools, or preparing for multi-touch attribution (MTA).

humanizer

18

petekp

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

dig

15

Soul-Brews-Studio

Mine Claude Code sessions — timeline, gaps, repo attribution. Use when user says "dig", "sessions", "past sessions", "timeline", "what did I work on".

analytics-traffic

15

kostja94

When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," or "channel analysis."