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User Interview Discovery Guide

discovery-interview-guide

mohitagw15856/pm-claude-skills

A comprehensive framework for structuring user interviews, customer discovery, or Jobs-to-be-Done (JTBD) research. This guide provides structured steps for screener creation, deep behavioral exploration (focusing on past actions, not future predictions), and systematic synthesis/pattern detection, ensuring the gathering of genuine, actionable insights.

Financial Due Diligence Framework Generator

financial-due-diligence

mohitagw15856/pm-claude-skills

Generates a comprehensive and structured financial due diligence framework for any investment, M&A, or major partnership. It produces a detailed document request list, key analytical questions, red flags checklist, and a summarized financial health assessment, tailored to specific transaction types and diligence stages.

Last 30 Days Sentiment Research

last-30-days-research

mohitagw15856/pm-claude-skills

This skill systematically researches real-time public sentiment and user opinions on any topic by querying Reddit, X/Twitter, and the broader web. It bypasses curated SEO content to provide a structured report detailing consensus points, recurring pain points, genuine praise, and signal confidence, offering actionable insights into current market sentiment.

Structured Research Protocol Design

research-protocol

mohitagw15856/pm-claude-skills

This skill generates detailed, structured research protocols for various academic, clinical, or market research studies. It ensures all critical components—such as objectives, study design, participant criteria, methodology, data management, statistical analysis plan, and ethical considerations—are comprehensively documented, providing a robust framework for any scientific investigation.

Parsing Windows Forensic Artifacts with EZ Tools

parsing-artifacts-with-eric-zimmerman-tools

mukul975/Anthropic-Cybersecurity-Skills

This comprehensive tool suite provides high-fidelity parsers for key Windows artifacts, including MFT, Registry hives, Prefetch files, and ShellBags. Designed for digital forensics and incident response, it converts raw system evidence into structured CSV/JSON formats. The output is optimized for feeding into Timeline Explorer, enabling analysts to build comprehensive, correlated timelines and establish a clear chain of events.

Data Visualization Report Generator

nexu-io/html-anything

Transform raw structured data (CSV, Excel, JSON) into professional, long-form, interactive visualization reports. This tool generates comprehensive business review pages featuring KPI dashboards, multiple dynamic charts (using Chart.js/ECharts), detailed data tables, and narrative business insights, making it ideal for weekly or monthly performance reporting.

Quarterly Finance Report Template

nexu-io/html-anything

A comprehensive template designed for quarterly financial reporting. It integrates key performance indicators (KPIs), revenue and burn charts, a detailed Profit & Loss (P&L) summary, top-line highlights, and future outlook sections. This is ideal for presenting structured financial performance to stakeholders.

Structured Web Data Extraction Tool

browser-extract

This skill extracts structured data, such as text, tables, or attribute values, from rendered web pages. It supports both running pre-saved templates and conducting one-shot DOM queries. Crucially, it integrates mandatory AIDefence gates for PII scanning and prompt-injection detection, ensuring data safety and reliability before the data reaches the model.

Dossier Collect: Graph-Structured Entity Investigation

dossier-collect

This tool builds a comprehensive, graph-structured dossier on a seed entity. It performs parallel and recursive fan-out investigation across diverse sources, including the web, memory stores, knowledge graphs, and codebases. Ideal for mapping all connected entities and their provenance when a specific question is not defined.

Compare Itô Baskets Against User Knowledge

ito-basket-compare

A read-only tool designed to compare prediction-market baskets or themes against the user's existing knowledge base, portfolio notes, research memos, or financial context. It performs gap analysis, flagging potential conflicts, stale assumptions, and areas of missing research. This skill provides structured insights into fit and exposure without offering any investment or trading advice.

Knowledge Operations and Lifecycle Management

This framework manages the ingestion, organization, synchronization, and search of knowledge across multiple storage layers, including local files, persistent memory, vector stores, and Git repositories. It provides a structured approach for ensuring knowledge durability, deduplication, and maintaining a 'single source of truth' across complex development and operational contexts.

Detect Market Candlestick Patterns

This powerful tool scans ingested OHLCV market data to detect and classify known candlestick patterns, such as Doji, Hammer, Engulfing, and Head & Shoulders. It analyzes single, multi-, and complex candle sequences, assigning a pattern name, type (reversal/continuation), direction, and a reliability score (0.0-1.0). Ideal for technical traders needing structured pattern identification for advanced market analysis.

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