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Found 448 Skills
Crafts high-converting outreach messages and email sequences for cold outreach, LinkedIn DMs, and follow-ups. Use when user needs personalized outreach messages that book calls and get replies.
CLI for Limitless.ai Pendant with lifelog management, FalkorDBLite semantic graph, vector embeddings, and DAG pipelines. Use for personal memory queries, semantic search across lifelogs/chats/persons/topics, entity extraction, and knowledge graph operations. Triggers include "lifelog", "pendant", "limitless", "personal memory", "semantic search", "graph query", "extraction".
Transform structured external data (CSV/JSON) into Obsidian's linked knowledge system while preserving semantic relationships, optimizing graph structure, and preventing data corruption through systematic validation and YAML-safe template generation.Enables seamless knowledge transfer from databases, spreadsheets, and APIs into personal knowledge management, maintaining referential integrity and facilitating emergence of insights through networked thought.
Organic social media growth coach using the Post Bridge methodology (500M+ views, 132K+ downloads, $33K+ revenue). Act as a personalized growth coach for apps, products, and businesses seeking organic traffic from TikTok and Instagram short-form video. Use when users ask about growing on TikTok/Instagram, creating viral content, getting more views organically, converting social media views to app downloads or customers, warming up new social accounts, finding winning content formats, or scaling organic social media presence. Also use when users need help with social media bios, content-market fit, trend riding, or building a repeatable content system without paid ads.
Load and execute robot personality files (SOUL.md style) with built-in safety constraints, behavior rules, and memory management. Inspired by ZeroClaw's robot-kit personality system.
Lance une revue d'issue automatique avec des personas experts sélectionnés automatiquement, analyse la faisabilité, la complétude, les risques et l'architecture, puis publie un rapport structuré directement sur l'issue — le tout sans intervention de l'utilisateur.
Use this skill when users need to define their ideal customer profile, identify target personas, map buying centers, or understand who they're selling to. Activates for "who is my customer," "define ICP," "target audience," or persona questions.
Configure Tavus CVI personas with custom LLMs, TTS engines, perception, and turn-taking. Use when customizing AI behavior, bringing your own LLM, configuring voice/TTS, enabling vision with Raven, or tuning conversation flow with Sparrow.
Analyzes events through psychological lens using cognitive psychology, social psychology, developmental psychology, clinical psychology, and neuroscience. Provides insights on behavior, cognition, emotion, motivation, group dynamics, decision-making biases, mental health, and individual differences. Use when: Behavioral patterns, decision-making, group behavior, mental health, leadership, persuasion, trauma, development. Evaluates: Cognitive processes, emotional responses, motivations, biases, group dynamics, personality, mental states.
Cinematic UI Design Guidelines. For high-expression applications such as personal brands, creative galleries, and premium players. Mandatory use of Framer Motion, Tailwind CSS, and React. Use cases: (1) Building projects requiring a "high-end feel", "cinematic feel", or "immersive feel", (2) Auditing UI code for compliance with Kinetic Minimalism specifications, (3) When users request effects similar to Apple Music, Linear, or high-end portfolios.
Identify non-obvious signals, hidden patterns, and clever correlations in datasets using investigative data analysis techniques. Use when analyzing social media exports, user data, behavioral datasets, or any structured data where deeper insights are desired. Pairs with personality-profiler for enhanced signal extraction. Triggers on requests like "what patterns do you see", "find hidden signals", "correlate these datasets", "what am I missing in this data", "analyze across datasets", "find non-obvious insights", or when users want to go beyond surface-level analysis. Also use proactively when you notice interesting anomalies or correlations during any data analysis task.
Access personalized news and premium content through Apple's native news aggregator.