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
Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.
Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
🌊 Embrace Vibe Coding to streamline development, focusing on creative expression and AI collaboration for seamless product creation.
Implement the Recursive Language Model pattern to manage large data externally and optimize code analysis in Claude Code and OpenCode environments.
An agent skill for coding agents (e.g., Codex, Claude Code) that conducts structured UX research discovery interviews, guiding users from vague product ideas to clear discovery insights.