marketing-psychology
Apply behavioral science, mental models, and psychological principles to marketing strategy, copywriting, and decision-making.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
430 skills found
Apply behavioral science, mental models, and psychological principles to marketing strategy, copywriting, and decision-making.
Infrastructure for cross-product HealthSim data persistence, entity correlation via SSN, and DuckDB database operations.
Expert Rust development guide based on real-world code reviews. Ideal for idiomatic code, performance tuning, error handling, and avoiding common pitfalls in CLI and production tools.
Design world-class PowerPoint presentations with professional branding, consistent typography, and sophisticated animations. Ideal for pitches, keynotes, and business reports.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Uncover customer jobs, pains, and gains in a structured JTBD format. Use to clarify unmet needs, validate product-market fit, and improve discovery or messaging.
Standardized Java development guidelines including naming conventions, exception handling, Spring Boot best practices, and concurrency patterns.
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.
Query Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Features persistent authentication, library management, and automated browser-based document retrieval.
A prototype skill for automating YouTube live chat moderation using pattern-based detection for spam, toxic content, and rate limiting, optimized for testing agent reliability before deployment.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.