love-decodeDecode the hidden signals in your love life. This AI reads between the lines of romantic interactions — texts, behaviors, body language cues, and social medi...
Install via ClawdBot CLI:
clawdbot install imwyvern/love-decodeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://replyher.comAudited Apr 17, 2026 · audit v1.0
Generated May 6, 2026
Users upload chat logs from dating apps or messages. The AI decodes response timing, emoji usage, and phrasing to interpret interest level and suggest next moves. Industry: Online Dating.
After a date, users describe their partner's behavior (e.g., texting immediately vs. waiting). The AI analyzes patterns to gauge interest and advise on follow-up. Industry: Relationship Coaching.
Users share social media interactions (likes, story views, comments). The AI interprets these signals to reveal hidden romantic interest or disinterest. Industry: Social Media Analytics.
Users describe hot-and-cold behavior from a partner. The AI identifies patterns and assesses whether it indicates genuine interest or other factors. Industry: Therapy & Counseling.
Users input specific messages with emojis, punctuation, and timing. The AI decodes the emotional subtext, such as sarcasm, eagerness, or avoidance. Industry: Communication Coaching.
Offer basic signal decoding for free, with premium features like unlimited analysis, detailed reports, and conversation history. Revenue from subscriptions or one-time purchases.
License the signal decoding API to dating platforms or relationship apps as a value-added feature for their users. Revenue via per-API-call fees or flat monthly licensing.
Partner with dating coaches, therapists, or book authors. Offer contextual recommendations and earn commissions from referrals (e.g., 'Want professional advice? Check out this therapist').
💬 Integration Tip
Integrate via API or chatbot platform. For the app version, add a simple UI to paste texts or describe situations, and use the signal analysis format as the response template.
Scored Apr 19, 2026
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.
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Collaborative thinking partner for exploring complex problems through questioning