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Product discovery interview skill that transforms vague ideas into detailed implementable specifications through deep iterative interviews, detecting knowledge gaps, surfacing hidden assumptions, and researching uncertainties

Provides mathematical computation and problem-solving capabilities within Continuous Claude, a persistent multi-agent development environment with 109 skills and 32 agents.

Identifies failure modes before they occur using structured risk analysis based on Gary Klein's pre-mortem technique, within Continuous Claude, a persistent multi-agent development environment with 109 skills and 32 agents.

A collection of Claude Code skills for searching GitHub, managing repositories, and automating development workflows with continuous integration support.

Dead code detection skill using TLDR static analysis to find unused functions and unreachable code across Python, TypeScript, and other languages in codebases

Systematically refactors code through a multi-agent workflow with review gates, ensuring safe and incremental improvements.

Explores internal codebases at varying depths from quick overview to deep architecture analysis, providing read-only insights into code structure and call graphs.

Implements a standard multi-agent pipeline pattern for implementation tasks, using background agents that write outputs to cache for orchestrated sequential processing.

Searches past session reasoning to find relevant decisions, successful approaches, and failed attempts for informed development across sessions.

Guides modular Python code organization with file size guidelines optimized for maintainability and AI-assisted development within Continuous Claude.