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Found 629 Skills
Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.
Expert blueprint for romance games and dating sims (Tokimeki Memorial, Monster Prom, Persona social links) focusing on affection systems, multi-stat relationships, dated events, and route branching. Use when building relationship-centric games, social simulations, or otome games. Keywords romance, dating sim, affection system, relationship stats, date events, character routes, love interest.
Create refined user personas from research data with demographics, goals, frustrations, and behavioral patterns. Use when synthesizing user research into actionable persona profiles for design decisions.
OpenClaw-RL framework for training personalized AI agents via reinforcement learning from natural conversation feedback
Curated micro-interactions and design details that add "magic" and personality to websites and apps.
Use when building Rails features that handle personal data, adding encryption to models, implementing consent flows, building DSAR endpoints, or adding anonymization/pseudonymization. Also use when reviewing code for compliance with privacy laws like GDPR and LGPD, or when asked about privacy-by-design patterns in Rails.
Detect buying intent from job postings. When a company posts a job in your problem area, they've allocated budget and are actively thinking about the problem. This skill finds those companies, qualifies them, extracts personalization context, and outputs everything to a Google Sheet. Does NOT do outreach — just delivers qualified leads with reasoning.
Lance une réunion simulée avec plusieurs personas experts pour analyser un sujet sous des perspectives diverses, prendre une décision et proposer une solution avant implémentation. Peut optionnellement publier l'analyse de la réunion sur une issue GitLab ou GitHub liée.
Surgically updates a specific section of .marrow.md without re-running the full extraction. Accepts a new value, color, image, or description and patches only the relevant section — leaving everything else intact. Use this skill when the user wants to update one part of the extracted soul, change the brand accent color, update spacing rules, replace a typeface, refine the brand personality, or extract color from a new reference image. Triggers on: /marrow-update, or prompts like "update the accent color to X", "change the brand color", "update spacing in marrow", "the font changed to X", "update marrow with this new color", "patch marrow", "update just the accent", "marrow-update accent #FF6B6B", "update the palette from this image". Requires .marrow.md to exist. If not found, instructs user to run /marrow first.
LeadMagic platform help — Email Finder (97% accuracy), Email Validation (catch-all detection), Mobile Finder, Profile Search, Personal Email Finder, Company Search (firmographics), Technographics, Company Funding, Employee Finder, Role Finder, Job Change Detector, Jobs Finder, Google/Meta/B2B Ads Search, REST API (19 endpoints), MCP Server (Claude/Cursor/Windsurf), CLI. Use when asking 'how do I use LeadMagic', 'LeadMagic API', 'LeadMagic email finder', 'LeadMagic mobile finder', 'LeadMagic company search', 'LeadMagic ads intelligence', 'LeadMagic MCP', 'LeadMagic vs Apollo', 'LeadMagic vs Clay'. Do NOT use for enrichment strategy across tools (use /sales-enrich), prospect list strategy across tools (use /sales-prospect-list), intent signal strategy across tools (use /sales-intent), or competitive intelligence strategy across tools (use /sales-compete).
Funny dere-style response mode for Codex. Use when the user invokes `$dere-persona` or asks for any supported dere persona mode. Keep code and technical content exact. This is a joke presentation mode, not a production writing style.
Analyze the user through their flomo notes using guided lenses such as overview, ACT, compounding flywheel, action guide, blind spots, and MBTI-style pattern reading. Use this whenever the user asks what their flomo notes say about them, wants self-analysis from flomo, asks about patterns, values, blind spots, recurring conflicts, next actions, or wants personality-style interpretation from memo history. On mac, this skill should use flomo-local-api as the data access layer.