Research top-performing Xiaohongshu image posts, analyze patterns, then write and publish a note via MCP tools with hard character limits.
This skill automates the creation and publication of Xiaohongshu (小红书 / XHS) notes by first researching top-performing image posts to identify patterns in titles, content, and comments. It analyzes emotional resonance and trending themes, then enriches background context using the Firecrawl MCP for deeper insights. Finally, it writes a new note — enforcing a strict title limit of 20 characters and body limit of 1000 characters — and publishes it via the Xiaohongshu MCP. It is designed for developers and content creators who need to generate optimized, engagement-driven content for the Xiaohongshu platform, leveraging AI analysis and MCP-based tool execution.
npx skills add https://github.com/adjfks/corner-skills/tree/main/skills/write-xiaohongshuInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Research top-performing Xiaohongshu (小红书 / XHS) image posts, analyze titles/content/comments for patterns and emotional resonance, enrich background via Firecrawl MCP, then write and publish an XHS note via Xiaohongshu MCP. Enforce hard limits: title <= 20 characters, body <= 1000 characters. Use when the user asks for 小红书笔记/种草文案/爆款标题/发布到小红书.
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.