Turn any question into a structured, agent-evaluated mastery path with plans, exercises, checkpoints, and real-world transfer.
npx skills add CaoYuhaoCarl/question-to-masteryTurn any question into a structured, agent-evaluated mastery path with plans, exercises, checkpoints, and real-world transfer.
Source: https://github.com/CaoYuhaoCarl/question-to-mastery
Pushed: 2026-05-12T09:43:54Z Stars: 10
A LangGraph-powered multi-agent deep research system featuring task planning, human-in-the-loop review, multi-source retrieval, evidence-grounded report generation, full tracing and reproducible evaluation.
Agent-ready stock anomaly analysis skill for A-share, HK, and US equities with Markdown/HTML reports.
🚀 Build LLM-powered workflows with PocketFlow-Zig, a lightweight framework leveraging Zig's features for efficient, type-safe programming.
Write a TECH.md spec for a significant Warp feature after researching the current codebase and implementation constraints. Use when the user asks for a technical spec, implementation plan, or architecture doc tied to a product spec.
Create a structured customer interview script with JTBD probing questions, warm-up, core exploration, and wrap-up sections. Follows The Mom Test principles — no leading questions, no pitching, focus on past behavior. Use when preparing for user interviews, creating interview guides, or planning discovery research.
Agentforce session tracing extraction and analysis. TRIGGER when: user extracts STDM data from Data Cloud, analyzes agent session traces, debugs agent conversations via telemetry, or works with .parquet files from Agentforce. DO NOT TRIGGER when: testing agents (use sf-ai-agentforce-testing), Apex debug logs (use sf-debug), or building agents (use sf-ai-agentforce).