product-management
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
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319 skills found
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.
Automated screenshot-to-knowledge workflow for Enzo. Captures, categorizes, extracts content, and logs patterns from screenshots to build a structured reference library.
Draft and optimize LinkedIn posts for 0 Finance using performance-backed hooks, professional storytelling, and strict regulatory compliance guidelines.
Automated LinkedIn lead generation for tech services. Identifies non-tech founders, performs website gap analysis, and generates professional PDF audit reports for high-value B2B outreach.
Real-time web search and content extraction tool using the Tavily API for research, news gathering, and up-to-date information retrieval.
One-click publishing of Markdown articles to WeChat Official Account drafts, featuring automated image hosting, multi-theme styling, and code syntax highlighting.
A comprehensive guide for designing high-performance, maintainable PostgreSQL database schemas, covering best practices, data types, indexing, and advanced features.
Comprehensive email management and automation tool. Send, receive, and organize emails with attachment support across multiple providers.
Design and implement robust, scalable event stores for event-sourced systems, covering architectural patterns, technology selection, and persistence strategies.
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.