# wenziai/wenzi-xiaohongshu-workflow > A set of six installable Agent Skills for Codex, Claude and WorkBuddy that covers the full Xiaohongshu workflow: from account positioning and topic selection to copy editing, publishing schedules and performance review. - Magnitude: 0.8 out of 10 — Steady - Stars: 171 total · +2 stars measured 2026-10-12, 00:22–07:21 UTC, ≈ 4 by evening - Star trust: star growth looks organic - Category: AI agents · Created: 2026-09-30 · Last push: 2026-10-12 - GitHub: https://github.com/wenziai/wenzi-xiaohongshu-workflow · Page: https://gitnova.dev/en/r/wenziai/wenzi-xiaohongshu-workflow ## Useful for - Launch a cold start for a new Xiaohongshu account: define positioning and plan the first 10 posts. - Rework a draft post to remove AI-sounding phrasing, add real details, and split it into a 6–8 page carousel. - Run a weekly data review of the account and adjust hypotheses for the next batch of posts. ## Why it’s here - Star-counter measurements on 2026-10-12 (UTC), 00:22–07:21: 169 → 171 stars (+2). This is the change over that interval. - Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day. - The repository is 12 days old and already has 171 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 34 - Issues and pull requests: 0 - Watchers: 2 - Average over the last week: 3 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 ## Stars per day, last 13 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-12: 93, 42, 4, 2, 4, 1, 2, 4, 6, 2, 1, 2, 2 ## Magnitude by day, last 12 days 10-01 5.2, 10-02 4.5, 10-03 1.5, 10-04 0.9, 10-05 1.0, 10-06 0.5, 10-07 0.8, 10-08 1.1, 10-09 1.3, 10-10 0.8, 10-11 0.7, 10-12 0.8 ## More in this category 1. **morluto/rea** — 8.8 · Breakout · AI agents · TypeScript · +16,443 stars measured 2026-10-12, 00:13–07:11 UTC, ≈ 47,120 by evening A reverse-engineering tool that lets AI agents inspect apps and native binaries: it connects agents to Hopper or Ghidra via MCP and CLI, helping explain how a feature works and rebuild it in your own project. Full card: https://gitnova.dev/en/r/morluto/rea.md 2. **Fei2411/DeepSeek-Bot** — 7.5 · Early signal · AI agents · JavaScript · +246 stars measured 2026-10-12, 00:13–07:11 UTC, ≈ 714 by evening A DeepSeek Harness (DSH) plugin that turns DSH Web and Desktop into a multi-agent collaboration workspace, letting multiple agents communicate, coordinate and run in parallel. Full card: https://gitnova.dev/en/r/Fei2411/DeepSeek-Bot.md 3. **hugohe3/ppt-master** — 7.4 · Breakout · AI agents · Python · +250 stars measured 2026-10-12, 00:13–07:11 UTC, ≈ 831 by evening A tool that turns documents or topics into native PowerPoint decks with shapes, charts, tables, animations and narration, running inside an AI agent on your machine. Full card: https://gitnova.dev/en/r/hugohe3/ppt-master.md 4. **rociiu/talorys** — 7.1 · Early signal · AI agents · TypeScript · +41 stars measured 2026-10-12, 00:13–07:11 UTC, ≈ 211 by evening A single-user personal AI assistant deployed into your own Cloudflare account, combining chat, memory, tasks, notes and scheduled reminders with no server or database run by the developers. Full card: https://gitnova.dev/en/r/rociiu/talorys.md 5. **zhongerxin/iPhone-use** — 6.5 · Peaking · AI agents · Python · +170 stars measured 2026-10-12, 00:13–07:11 UTC, ≈ 526 by evening Lets Codex control a real iPhone over USB via WebDriverAgent: it installs and signs WDA, exposes MCP tools for app navigation, taps, typing and list collection, and shows a live screen widget. Full card: https://gitnova.dev/en/r/zhongerxin/iPhone-use.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-12 07:23 UTC, updated every 30 minutes.