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Git / GitHub
humanize-ai
by artur-zhdan
humanize-ai
Humanize AI content by detecting and auto-fixing AI generated content. Humanize AI text using Python scripts. Scans for AI vocabulary, puffery, chatbot artifacts, and auto-replaces filler phrases. Use when you want to analyze text in AI detector and bypass it in future, batch-process files, run automated cleanup, or get a report before manual humanizing.
Document
humanizer
by biostartechnology
humanizer
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.
Git / GitHub
humanizer
by hazy2go
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Combines Wikipedia's "Signs of AI writing" guide with 2025-2026 forensic detection research. Covers: perplexity/burstiness metrics, Unicode artifacts, 24+ AI vocabulary patterns, structural tells, and surgical humanization techniques. Includes detection benchmarks for GPT-4o, Claude, Gemini models.
Git / GitHub
humanizer
by hazy2go
humanizer
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.
Git / GitHub
humanizer-enhanced
by dorukardahan
humanizer-enhanced
Advanced AI text humanizer for blog content. Detects and removes 34 AI writing patterns, adds personality/soul, and handles crypto/Web3 specific tells. Use when user says /humanizer, "humanize this", "remove AI patterns", "make it sound human", or asks to clean up blog posts, articles, or drafts. Features: 28 base patterns from Wikipedia's "Signs of AI writing", 6 crypto/Web3 specific patterns, severity scoring (HIGH/MEDIUM/LOW), stat attribution fixer, soul/personality injection, batch mode.
Others
humanizer-pl
by alexwoo-awso
humanizer-pl
Usuwa ślady pisania AI z polskiego tekstu. Używaj przy edycji lub przeglądaniu tekstu, aby brzmiał bardziej naturalnie i po ludzku. Oparte na przewodniku Wikipedii „Signs of AI writing" oraz wzorcach specyficznych dla polszczyzny. Wykrywa i naprawia: napuszanie znaczenia, język promocyjny, powierzchowne analizy z imiesłowami, niejasne przypisania, nadużycie myślników, regułę trzech, słownictwo AI, negatywne paralelizmy i nadmierne frazy łączące.
Others
humann-capital
by andrewtmac
humann-capital
Marketplace where AI agents post tasks for humans or other agents. Human tasks (web UI) and agent tasks (API only). One API key for both.
Maps / Local Services
Humanod
by armandobrazil
Humanod
Give your AI agent hands in the real world. Hire verified humans for physical tasks, data collection, and physical verification via the Humanod network.
Others
hummingbot
by fengtality
hummingbot
Agent skill that faithfully reproduces Hummingbot CLI commands (connect, balance, create, start, stop, status, history) via Hummingbot API. V1 focuses on core trading workflows. For DEX/LP strategies on Solana, use lp-agent instead.
Git / GitHub
hummingbot-deploy
by fengtality
hummingbot-deploy
Deploy Hummingbot trading infrastructure including API server, MCP server, and Condor Telegram bot. Use this skill when the user wants to install, deploy, set up, or configure Hummingbot.
Git / GitHub
hummingbot-developer
by fengtality
hummingbot-developer
Developer skill for running Hummingbot and Gateway from source, building wheel and Docker images, and testing against Hummingbot API running from source. Use this skill when a developer wants to build, run, or test Hummingbot components locally.
Others
hungrypandabook
by forgottener
hungrypandabook
AI Agent 外卖点餐技能。注册成为 Agent，浏览餐厅，下单点外卖。
Git / GitHub
hunter
by aiwithabidi
hunter
Hunter.io — email finder, email verifier, domain search, author finder, and lead management.
SERP Analysis
Hxxra
by cxlhyx
Hxxra
hxxra
Search
hybrid-db-health
by cryptobro-man
hybrid-db-health
Validate and troubleshoot the hybrid database system used by OpenClaw agents (Pulse task DB + RAG Pinecone stack). Use when asked to check setup, connection status, or run a database health test across agents.
Git / GitHub
hybrid-memory
by clawdbrunner
hybrid-memory
Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.
Others
hylo-ghl
by dasonshi
hylo-ghl
GoHighLevel (GHL) workflow automation expert with 102 verified actions, 70 triggers, and 494 API schemas. Use when asked about GHL, GoHighLevel, HighLevel, Go High Level, or gohighlevel workflows, API endpoints, navigation, or automation planning.
Others
Hypabase Memory
by harshidwasekar
Hypabase Memory
Persistent memory for agents. Stores preferences, decisions, facts, and events as a connected knowledge graph. Recalled by who, what, when, or why.
Monitoring
Hyperbot Mcp
by develophyperbotnetwork
Hyperbot Mcp
中文 SKILL_zh.md | English SKILL.md
Monitoring
Hyperbot Trading Analytics
by develophyperbotnetwork
Hyperbot Trading Analytics
Provides trading data analytics capabilities for the Hyperbot platform, including smart money tracking, whale monitoring, market data queries, and trader statistics. Suitable for cryptocurrency traders conducting market analysis and decision-making.
Git / GitHub
hyperliquid
by anajuliabit
hyperliquid
Trade and monitor Hyperliquid perpetual futures. Check balances, view positions with P&L, place/cancel orders, execute market trades. Use when the user asks about Hyperliquid trading, portfolio status, crypto positions, or wants to execute trades on Hyperliquid.
Knowledge Management
hyperliquid
by chipagosfinest
hyperliquid
Query Hyperliquid DEX for account balances, positions, PnL, and margin data via ClawdBot API
Monitoring
hyperliquid
by chrisling-dev
hyperliquid
Trade crypto, stocks (AAPL, NVDA, TSLA), indexes, and commodities (GOLD, SILVER) 24/7 on Hyperliquid via HIP-3. Real-time position & P&L tracking, orderbook monitoring, multi-account management, and websocket client for sub-5ms low-latency high-frequency trading.
Monitoring
hyperliquid-analyzer
by b0on
hyperliquid-analyzer
Analyze Hyperliquid market data and provide trading insights. Real-time price monitoring, trend analysis, and risk assessment.
Platform
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View all skillshumanizer
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
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Combines Wikipedia's "Signs of AI writing" guide with 2025-2026 forensic detection research. Covers: perplexity/burstiness metrics, Unicode artifacts, 24+ AI vocabulary patterns, structural tells, and surgical humanization techniques. Includes detection benchmarks for GPT-4o, Claude, Gemini models.
humanizer
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.
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