kris-yun/research-cycle-skill
Codex skill: closed-loop research workflow with multi-agent adversarial gap discovery, Semantic Scholar validation, and 7-phase research cycle
Codex skill: closed-loop research workflow with multi-agent adversarial gap discovery, Semantic Scholar validation, and 7-phase research cycle
npx skills add kris-yun/research-cycle-skillCodex skill: closed-loop research workflow with multi-agent adversarial gap discovery, Semantic Scholar validation, and 7-phase research cycle
Scrape, crawl, and extract web data for AI agents with a local-first MCP server, CLI, and HTTP API
Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "why customers dont get it", "positioning canvas", "repositioning", or "category creation". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont understand the products value. Covers positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.
Polymarket prediction-market Agent Skills — read-only market, whale & position research plus official CLOB trading (dry-run by default). Multi-agent: Claude Code, Codex, OpenClaw, and any Agent Skills-compatible runtime.
A code-first agent framework for planning and executing data analytics tasks using Python and Jupyter.
面向 OpenClaw 的 Serper Google 搜索 skill。
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.