Agent Skills Hub

identify-assumptions-existing

Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.

mcp-research

Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.

data-viz-plots

Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.

memory-systems

Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.

EdgarTools

A comprehensive Python library for querying, parsing, and analyzing SEC EDGAR filings, financial statements, and institutional holdings as structured data objects.

claude-code

Standardized skill for Claude Code agents to dynamically query OpenRouter model recommendations and metadata via the Claudish CLI.

notebooklm

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.

training-data-curation

Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.

common

Infrastructure for cross-product HealthSim data persistence, entity correlation via SSN, and DuckDB database operations.

openai-whisper

Local speech-to-text transcription using the OpenAI Whisper CLI, providing private, high-accuracy audio processing without external API keys.

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.

MultiQC

Automates the triage, prioritization, and feedback process for new MultiQC module requests by analyzing repository activity, community engagement, and technical feasibility.