What does industry-research do?
An open-source Agent Skill for researching industry structures, business models, value chains, competitive landscapes, and recent changes. Supports Claude Code / Codex / OpenClaw / Hermes Agent.
An open-source Agent Skill for researching industry structures, business models, value chains, competitive landscapes, and recent changes. Supports Claude Code / Codex / OpenClaw / Hermes Agent.
The jiguang9/industry-research skill is a specialized tool for AI agents to conduct comprehensive industry analysis. It enables automated research into industry structures, business models, value chains, competitive landscapes, and recent market changes. Designed for developers and AI agent users, this skill is compatible with multiple agent platforms including Claude Code, Codex, OpenClaw, and Hermes Agent. By leveraging this skill, users can quickly gather and synthesize structured industry insights without manual web searching, making it ideal for strategic planning, investment research, and competitive intelligence tasks.
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An open-source Agent Skill for researching industry structures, business models, value chains, competitive landscapes, and recent changes. Supports Claude Code / Codex / OpenClaw / Hermes Agent.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.