summarize-interview
Synthesize interview transcripts into a structured template including Jobs to Be Done (JTBD), satisfaction signals, and actionable items.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
489 skills found
Synthesize interview transcripts into a structured template including Jobs to Be Done (JTBD), satisfaction signals, and actionable items.
Frame core customer problems, supporting evidence, and success hypotheses to ensure discovery work is grounded in data before solutioning begins.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.
Robot perception system design, configuration, and optimization for cameras, LiDAR, and sensor fusion pipelines. Includes camera calibration, 3D reconstruction, and production deployment best practices.
Automatically keep technical documentation in sync with codebase changes by analyzing git diffs.
Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.
Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Export, write, and manage Feishu/Lark documents, spreadsheets, and wikis. Converts cloud content to Markdown for AI agents and automation workflows.