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
HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP servers, guides, hooks, statuslines, and other custom configs, designed to enhance Claude, Codex, Cursor, OpenClaw, and various other agentic workflows/platforms.
Runs a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask in any language to research, study, deep-dive, compile sources, synthesize unfamiliar material, or turn a source bundle into a coherent reference. Not for quick lookups or single-file reads.
A Claude Code skill that turns Everything (es.exe) into Claude's default file-search tool on Windows.
Provide a Claude-inspired Markdown template adapted from research to streamline note-taking and idea organization.
Bulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.
Research Solana/crypto startup opportunities using builder project history, crypto archives, investor theses, and market signals. Answers questions conversationally by default; runs the full 8-step deep research workflow on explicit opt-in ("vet this idea", "deep dive").