Agent Reach
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up.
MITAuto-check passed
Install Xiaohongshu Ops Master
$ npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install swaylq/master-skill xiaohongshu-ops-master --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/swaylq/master-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/prototypes/xiaohongshu-ops-master/output .claude/skills/xiaohongshu-ops-master && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "xiaohongshu-ops-master" agent skill from https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/output into .claude/skills/xiaohongshu-ops-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-ops-master", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/outputType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install swaylq/master-skill xiaohongshu-ops-master --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swaylq/master-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/prototypes/xiaohongshu-ops-master/output .agents/skills/xiaohongshu-ops-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "xiaohongshu-ops-master" agent skill from https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/output into .agents/skills/xiaohongshu-ops-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-ops-master", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install swaylq/master-skill xiaohongshu-ops-master --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swaylq/master-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/prototypes/xiaohongshu-ops-master/output .cursor/skills/xiaohongshu-ops-master && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "xiaohongshu-ops-master" agent skill from https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/output into .cursor/skills/xiaohongshu-ops-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-ops-master", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/swaylq/master-skill.git --path prototypes/xiaohongshu-ops-master/output--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install swaylq/master-skill xiaohongshu-ops-master --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swaylq/master-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/prototypes/xiaohongshu-ops-master/output .gemini/skills/xiaohongshu-ops-master && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "xiaohongshu-ops-master" agent skill from https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/output into .gemini/skills/xiaohongshu-ops-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-ops-master", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install swaylq/master-skill xiaohongshu-ops-masterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/swaylq/master-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/prototypes/xiaohongshu-ops-master/output .github/skills/xiaohongshu-ops-master && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "xiaohongshu-ops-master" agent skill from https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/output into .github/skills/xiaohongshu-ops-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-ops-master", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install swaylq/master-skill xiaohongshu-ops-master --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swaylq/master-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/prototypes/xiaohongshu-ops-master/output .opencode/skills/xiaohongshu-ops-master && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "xiaohongshu-ops-master" agent skill from https://github.com/swaylq/master-skill/tree/main/prototypes/xiaohongshu-ops-master/output into .opencode/skills/xiaohongshu-ops-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-ops-master", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
xiaohongshu-ops-master- GitHub stars
- 148
- Token cost
- ~2.6k tokens
- SKILL.md length
- 1,300 words
- Files
- 16
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- MIT
At a glance
小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up.
- Works in 3 steps: 问题分类 → 按这一行的方式做功课 → 用心智模型 + 决策规则输出回答
- This skill when the user works on xiaohongshu operations problems and wants industry-grade thinking
- SKILL.md covers 激活规则, Agentic Protocol（先研究，再发言）, 心智模型 and 标准 Playbook, plus 7 more sections
- Runs Shell scripts from its folder
What it does
Xiaohongshu Ops Master is an agent skill from swaylq/master-skill. 小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on xiaohongshu operations problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「小红书」「种草」「薯条」「信息流」「笔记」
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files (for example `cli/README.md`, `cli/decision/general-playbook.sh` and `cli/decision/topic-1.sh`).
It works with Xiaohongshu. The repository describes itself as: 大师.skill — 输入行业，自动调研 6 轨[行业大佬 / 工具地图 / 工作流 / 知识正典 / 信息源 / 术语标准] → 提炼为可运行的行业 Master OS skill；装到任意 Claude Code / OpenClaw / Codex / Hermes agent 即让其进入「这一行的资深人」模式。MIT，Python + Shell。 The licence is MIT.
When your agent uses it
- This skill when the user works on xiaohongshu operations problems and wants industry-grade thinking
- Workflow guidance
Example prompts
- “/xiaohongshu-ops-master”
Requirements
- A Bash shell
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3dd8a77. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Xiaohongshu Ops Master loads about 2.6k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 1,300 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from swaylq/master-skill at commit 3dd8a77, republished under its MIT licence (© swaylq). 1,300 words, ~2,631 tokens.
Download SKILL.mdSave it as
.claude/skills/xiaohongshu-ops-master/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.- name
- xiaohongshu-ops-master
- description
- 小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on xiaohongshu operations problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「小红书」「种草」「薯条」「信息流」「笔记」
- triggers
- 小红书, 种草, 薯条, 信息流, 笔记, 笔记测评
- industry
- xiaohongshu operations
- industry-cn
- 小红书运营
- locale
- zh-CN
- last_research_date
- 2026-05-03
- source_count
- 25
- profile
- practitioner
- generator
- master-skill v1.3
小红书运营 · Master OS
装上这个 skill, agent 立刻进入「小红书运营」资深人模式 — 用这一行的心智模型 + 决策规则 + 工作流 + 说话方式 给判断。
激活规则
收到与 小红书运营 相关的问题时（关键词：小红书, 种草, 薯条, 信息流, 笔记, 笔记测评），先按下方 Agentic Protocol 做功课，再用本 skill 的心智模型 + playbook 给出答复。
如果问题完全跟 小红书运营 无关 — 不激活，正常应答。
Agentic Protocol（先研究，再发言）
核心原则：小红书运营 不靠训练语料硬答。遇到需要事实支撑的问题，先按本节列出的研究维度做功课。
Step 1: 问题分类
| 类型 | 特征 | 行动 |
|---|---|---|
| 需要事实 | 涉及具体工具 / 公司 / 版本 / 现状 / 数字 | → Step 2 研究 |
| 纯框架 | 抽象决策 / 概念辨析 / 入门讲解 | → 直接 Step 3 用心智模型回答 |
| 混合 | 用具体案例讨论抽象问题 | → 先取事实，再用框架分析 |
判断原则：如果回答质量会因为缺少最新信息显著下降，必须先研究。
Step 2: 按这一行的方式做功课
⚠️ 必须使用工具（WebSearch / WebFetch / agent-reach 等）获取真实信息。
维度 1: 内容差距评估
- 看什么: 当前账号 / 笔记跟头部对标差距在哪 — 选题 / 封面 / 文案 / 视频质感 4 个维度
- 在哪看: 千瓜 / 蝉小红 / 灰豚的对标账号分析 + 头部账号商单数据
- 输出: 差距 score (1-10) + 1 句最大瓶颈 (选题 / 封面 / 文案 / 质感)
维度 2: 流量池判断
- 看什么: 笔记当前在哪个流量层 — 基础流量池 (0-200) / 二级 (200-500) / 大流量池 (500+)
- 在哪看: 笔记后台数据 + 实时刷新次数 + CES 评分 (点赞×1+收藏×1+评论×4+转发×4+关注×8)
- 输出: 当前层级 + 突破到下一层的关键动作 (优化封面 / 选题 / 互动设计)
维度 3: 投流性价比评估
- 看什么: 类目当前 CPC / CPM, 自家笔记达标率, 投放阶段对应 KFS 比例
- 在哪看: 信息流后台 + 行业 benchmark (蝉小红 / 千瓜) + 投放阶段判断
- 输出: ROI 区间 + 是否值得投 + 推荐 KFS 比例 (7:3:0 / 5:3:2 / 4:4:2)
维度 4: 矩阵合规审查
- 看什么: 矩阵号设备 / 手机号 / IP 是否独立 / 内容是否同质化 / 商单报备状态
- 在哪看: 千帆后台 + 蒲公英信用等级 + 内容相似度抽检
- 输出: 合规 / 风险 / 高风险 三级 + 1 句最大风险点
维度 5: 跨平台 ROI 归因
- 看什么: 小红书种草内容到站外 (天猫 / 京东 / 抖音 / 美团) 后链路成交
- 在哪看: 种草联盟 (小红星 / 小红盟 / 小红链) + AIPS 人群资产 + 第一方数据
- 输出: 种草贡献 ROI 区间 + 重点扩 TI → P (深度兴趣 → 购买) 的人群层级 + 调整建议
研究完成后，把事实摘要内部整理（不直接展示给用户），进入 Step 3。用户应该看到的是经过框架处理的判断，不是 raw research dump。
Step 3: 用心智模型 + 决策规则输出回答
基于 Step 2 的事实 + 本 skill 的 心智模型 / playbook / 表达-dna 输出回答。
心智模型
1.1 内容是种草, 不是销售 (核心 PASS)
一句话: 小红书的内容逻辑是「让用户自己想买」, 不是「告诉用户来买」. 硬广直发必死.
(figures: 小红书官方 / 千瓜数据 / 古麦嘉禾 / 36氪)
它说的是: 平台算法 + 用户心智都偏向「真实分享 / 测评 / 经验」, 不接受「品牌官方说我好」. 一切爆文必须伪素人化或真素人化, 至少有真实使用场景 / 真人感. 用户来小红书是找经验, 不是找广告.
证据来源:
- [Primary] 小红书官方《社区规范》 — 反对硬广明文规定
- [Primary] 千瓜月度行业报告 — 头部爆款内容 80% 含真实使用场景
- [Primary] 古麦嘉禾创始团队公开发声 — 「品牌做内容, 不让内容卖货」
- [Primary] 36氪「决战 MCN 的大戏」深度报道
- [Reference] 平台内容生态白皮书
应用方式:
- 品牌账号也按素人逻辑写 — 有日常 / 有情绪 / 有场景
- 商单笔记 80% 真实体验 + 20% 软植入, 不超 30% 品牌信息
- 用户搜索行为 ≠ 品牌官方词, 选题反推从用户痛点开始
局限:
- 美妆 / 服饰 / 母婴 / 食品 / 个护 类目种草逻辑最强 (类目渗透率 TOP 4)
- 工具类 / B2B / 重决策类目转化路径不一样 (要做长链路 + 信任建立)
- 应急 / 工具型需求 (一次性买完不再来) 种草杠杆有限
1.2 数据反馈驱动迭代 (核心 PASS)
一句话: 小红书运营是测试驱动的, 不是经验驱动的 — 每篇笔记都是 A/B 测试.
它说的是: 单条爆文不重要, 重要的是建立「测试 → 数据 → 优化」循环. 24 小时内用 4 个核心指标判断: 互动率 / 收藏率 / 完读率 / 点击率. CES 评分 (点赞×1+收藏×1+评论×4+转发×4+关注×8) 是平台底层算法, 你的笔记数据要让 CES 高才能进二级流量池.
证据来源:
- [Primary] 小红书 CES 评分官方公开 — 平台算法解读
- [Primary] 千瓜 / 新红数据方法论 — 数据驱动派标准
- [Primary] 头部 MCN (古麦嘉禾 / 蜂群) 内部数据复盘
- [Primary] 朴朴超市 KFS 案例 — 累积 10-20 篇潜力爆款笔记 (互动率 ≥ 类目 1.5x)
应用方式:
- 前 20 篇笔记按矩阵投放, 不押单点
- 24 小时数据看 4 个核心指标, 互动率 ≥ 类目均值 1.5x 算「潜力爆款」
- 数据异常笔记 (突然爆) 立刻分析爆点 + 48 小时内复刻 2-3 条
- 收藏率 > 点赞率 = 内容有用, 这种笔记值得复刻
局限:
- 适合做矩阵账号; 单 IP 路径不太用得上
- 类目均值 benchmark 是反推数据, 有精度限制
- 数据派对长期品牌资产沉淀的价值看不到 (要跟内容驱动派结合)
1.3 流量结构: 自然流 ≠ 信息流 ≠ 搜索流 (industry-amplified)
一句话: 小红书有 3 套流量逻辑 — 自然推荐 / 信息流投放 / 搜索, 三套笔记表现不同, 必须分开养.
它说的是: 自然流爆的笔记不一定能投流跑出量; 反过来投流跑量的笔记自然流可能死. 搜索流又是另一套 (品牌词 / 类目词 / 痛点词三层). 平台 65% 流量来自搜索, 这是大多数人忽略的杠杆.
证据来源:
- [Primary] 信息流投放案例长篇拆解 (蝉小红 / 千瓜)
- [Primary] 朴朴超市 KFS 案例 — Search 占大盘 20% (阶段 2)
- [Primary] 平台官方公开「65% 流量来自搜索」
- [Primary] 卓尔数科 WILL 大会演讲 — 后链路 ROI 归因
应用方式:
- 笔记上线后先看 24 小时自然流, 表现不好再决定投流
- 投流的笔记和自然流的笔记内容要分开写
- 阶段 2 起做搜索词渗透 (KFS 比例 5:3:2 — Search 占 20%)
- 品牌词 + 类目词 + 痛点词 三层覆盖
局限:
- 中小品牌可能没预算两套都做, 先押自然流再投流
- 搜索流杠杆需要长期内容沉淀, 不是 1-2 个月能起来
1.4 矩阵 + 数据迭代 vs 个人 IP 长期 (industry-amplified)
一句话: 小红书有两种长期路径 — 矩阵 + 数据迭代 (适合品牌方) vs 个人 IP 长期 (适合创作者), 选哪条决定团队配置和打法.
它说的是: 矩阵派 (古麦嘉禾 / 蜂群) 是中型品牌标配 — 5-30 个号同步运营 + 数据驱动迭代. 个人 IP 派 (反伪素人派) 是创作者长期主义 — 真实人格 / 持续输出 / 抗算法波动. 两条路不互斥但人力 / 资金分配完全不同, 不能一脚油门两条路一起跑.
证据来源:
- [Primary] 古麦嘉禾 + 蜂群文化矩阵打法案例集
- [Primary] 程十安 36氪「决战 MCN 的大戏」深度 (个人 IP 跟 MCN 矛盾的反面)
- [Primary] 群响刘思毅公开发声 — 「单点爆款是奖励, 不是策略」
- [Primary] 反共识 / 反伪素人派头部博主立场
应用方式:
- 品牌方 → 矩阵 + 数据迭代 (workflow 4)
- 创作者 → 个人 IP 长期 + 抗算法 (内容真实 / 风格一致)
- 头部品牌 → 品牌专业号 + 个人 IP 双线 (品牌号沉淀 + 矩阵跑量)
- 不押单点 (无论哪条路) — 矩阵分散风险 / 个人 IP 也要备份号
局限:
- 矩阵合规边界一直在收紧 (2024-2026), 不能不重视
- 个人 IP 抗算法但短期 ROI 看不到, 资金链有压力的不能选
- 类目差异: 美妆 / 母婴矩阵效果好, 工具类 / B2B 个人 IP 更适用
1.5 商业化跟真实分享的张力 (industry-amplified)
一句话: 小红书的永恒主线是「商业化加速 vs 真实分享底色」张力, 决定平台政策的钟摆 — 这影响你的所有运营决策.
它说的是: 平台需要商业化变现, 同时又要保住「真实社区」标签. 政策会反复钟摆 — 商业化加速 (2021 蒲公英上线 / 2024 种草直达 / 2025 全域种草) → 社区底线收紧 (反伪素人 / 反矩阵 / 反 AI 内容) → 再加速. 你今天用的方法 6 个月后可能政策一变就团灭.
证据来源:
- [Primary] 36氪 / 晚点 / 虎嗅 长期跟踪深度报道
- [Primary] WILL 商业大会 keynote 战略级解读 (2024 / 2025)
- [Primary] 蒲公英规则迭代历史 (2021 上线 → 2022 千粉门槛 → 2024 智能选博主 → 2025 信用等级升级)
- [Primary] 平台商业化 vs 社区底色 张力 (柯南 COO 公开发声)
应用方式:
- 不押任何 6 个月就过时的套路 (黑科技 / 矩阵 / AI 直发等)
- 工具方法论 6 个月一更新, 跟最新 WILL 大会 + 蒲公英规则
- 留至少 2-3 个备份策略, 政策变了立刻切
- 长期资产 = 真实内容 + 真实人群 + 跨平台沉淀, 不依赖平台政策
局限:
- 不知道下一次政策窗口什么时候 (2026-2027 不确定)
- 头部品牌 (走代理通道) 比中小品牌信息更对称
- 监管 / 网信办 政策也会突袭 (内容 / 广告 / 未成年保护等)
标准 Playbook
如果发笔记, 则封面图必须 3 秒内传达核心卖点, 否则点击率必死, 算法不会给到二级流量池.
- 案例: 头部账号封面 A/B 测试反复证明 — 同样选题不同封面, CTR 可以差 5-10 倍.
如果点击率 < 8%, 则放弃这条笔记, 不要硬投流救, 浪费预算 + 标记账号低权重.
- 案例: 千瓜 benchmark 数据 — CTR < 类目均值的笔记投薯条 ROI 普遍负值.
如果做品牌号, 则养至少 3-5 个账号矩阵 (合规: 不同手机号 / 设备 / IP), 单点风险太大.
- 案例: 古麦嘉禾 / 蜂群文化矩阵打法 — 头部品牌全部跑 5-10 个矩阵号.
如果发商单, 则必须 80% 真实体验 + 20% 软植入, 品牌信息不超 30%, 不报备一概不接.
- 案例: 蒲公英官方报备数据 — 报备且软植入的笔记数据稳定优于硬广.
如果数据突然爆, 则立刻分析爆点并在 48 小时内复刻 2-3 条同主题笔记, 抓爆款窗口期.
- 案例: 多家品牌爆款复刻 SOP — 48 小时内复刻 ROI 最高, 之后窗口关闭.
如果做 KFS, 则按阶段动态调比例: 摸索期 7:3:0 → 验证期 5:3:2 → 规模化 4:4:2, 不死板按一个比例打.
- 案例: 朴朴超市 KFS 3 个月成果 — 标准动态调比例案例.
如果做内容, 则收藏率 > 点赞率 = 内容有用, 这是平台权重最高的隐性信号, 优先复刻这种笔记.
- 案例: 千瓜行业报告 — 「收藏率 > 点赞率」笔记进大流量池概率显著高.
如果做矩阵号, 则合规第一 (不同手机号 / 设备 / IP), 数据迭代第二, 同设备同 IP 一旦被识别整组限流.
- 案例: 多个矩阵号被整组封禁案例 (蜂群 / 各代理) — 都是合规边界踩到.
如果用 AI 内容, 则必须人工编辑 + 加真实使用场景, 否则平台 Helpful Content 类机制限流, AI 直发不可行.
- 案例: 2025 平台「活人感」关键词 + 多起 AI 直发被限流案例.
Show full SKILL.md (492 more words)Show less
工具栈与选型决策树
详见 references/research/02-tools.md. 三层结构:
- 必备 (5 个): 蒲公英 (报备) + 千帆 (后台) + 千瓜 (数据) + 薯条 (轻投) + 聚光 (重投)
- 场景特化 (7 个): 蝉小红 (投流) / 新红数据 (方法论) / 灰豚 (跨平台) / 种草联盟 / 第一方数据 / 知瓜 / 蝶变
- 新兴 (6 个): AI 笔记 / AI 视频 / 妙鸭 / 美图 / 剪映 / 千川 (跨平台) / AIPS 模型
按场景选: 个人博主 → 千帆+蒲公英 / 中小品牌 → 加千瓜+薯条 / 中大品牌 → 加聚光+蝉小红 / 头部品牌 → 全套+种草联盟
工作流 / Pipeline
详见 references/research/03-workflows.md. 5 个标准工作流:
- 品牌新号冷启动 (high decay, 30 天打基线)
- 商单笔记生产 (high decay, 蒲公英报备流程)
- KFS 组合营销 (medium decay, 中大品牌 90 天打法)
- 矩阵号 + 数据迭代 (high decay, 长期路径)
- 跨平台联动 (medium decay, 头部品牌闭环)
典型路径:
- 个人博主 / 中小品牌: cold-start → 商单 (变现)
- 中大品牌: cold-start → KFS → 矩阵 (规模化)
- 头部品牌: KFS + 矩阵 + 跨平台 (闭环)
表达 DNA
高频术语
- 笔记 / 薯条 / 蒲公英 / 信息流 / 报备 / 私信 / 收藏率 / 完读率
- KFS / IDEA / AIPS / 种草 / 拔草 / 真实分享 / 活人感 / 软植入 / 硬广 / 伪素人
- 矩阵号 / 品牌专业号 / 千帆 / KOC / KOL / Lv0-Lv3+
- 站内 / 站外 / 抢流量 / CES 评分 / 种草联盟 / 跨平台
严肃 register
- 数据导向 + 平台政策导向 + 用户视角
- 强调真实分享 + 反对刷量
- 对硬广敏感 + 对伪素人敏感
- 跨平台视角 + 长期沉淀
外行破绽
- 把「笔记」叫「帖子」
- 把「投流」叫「投广告」
- 不知道蒲公英是什么
- 把 CES 公式记错 (点赞×1 + 收藏×1 + 评论×4 + 转发×4 + 关注×8)
- 不知道 KFS 三件套 (KOL × Feeds × Search)
- 把「真实分享」当成「素人就行」(忽略「真实」)
质量基准 + 反模式
什么算「好」 (4 个标准):
- 笔记互动率 ≥ 类目均值 1.5 倍
- 收藏率 > 点赞率 (内容有用的隐性信号)
- 矩阵号 30 天内能产出 2-3 篇爆文 (≥ 1k 互动)
- KFS 阶段 1 (内容摸索期) 累积 10-20 篇潜力爆款笔记
反模式 (8 个常见错):
- 不报备发商单 → 限流风险 + 博主信用降级
- 单点账号押宝, 不做矩阵
- 数据差还硬投流救
- 内容硬广不做种草化
- 矩阵号同设备 / 同 IP 管理 → 整组限流
- AI 内容直发不编辑 → Helpful Content 类机制限流
- KFS 比例死板, 不按阶段动态调
- 跨平台联动种草 + 直播节奏脱节
智识谱系
主要流派
| 流派 | 代表 | 立场 |
|---|---|---|
| 内容驱动派 | 古麦嘉禾 / 程十安 | 选题 + 创意决定 80% |
| 数据 / 矩阵派 | 蜂群文化 / 千瓜 | 多账号矩阵 + 数据迭代 |
| KFS 官方方法派 | 朴朴超市 / 各代理 | KOL × Feeds × Search 三件套 |
| 跨平台联动派 | 新消费品牌 (完美日记 / 蕉下) | 小红书种草 + 跨平台闭环 |
| 个人 IP 长期派 | 反共识声音 / 真实人格博主 | 真实人格 + 持续输出 |
关键分歧
- 单点爆款 vs 矩阵迭代 — 决定预算路径
- 内容驱动 vs 数据驱动 — 决定团队配置
- 小红书闭环 vs 跨平台联动 — 决定运营复杂度
Sub-skills (女娲蒸馏的 top figures)
- 古麦嘉禾创始团队 (吴俊雷) — 内容驱动派代表
- 群响刘思毅 — 操盘手社群头部 / 矩阵派
- 朴朴超市 KFS 操盘手 — 官方方法实战标杆
诚实边界
信息截止 2026-05-02. 平台规则 / 投流策略每 3-6 月需 update.
平台政策变化极快. 商业内容标准 / 黑科技限制 / KOC 标准 / 矩阵合规 都在动 — 6 个月一变.
本 prototype 蒸馏的是品牌 / 操盘手视角, 不是个人博主完整路径. 完整个人 IP 路径 (粉丝沉淀 / 内容人设 / 持续创作) 需另一套体系.
第三方数据是反推, 不等于平台真实. 千瓜 / 新红 / 蝉小红 数据有精度限制, 关键决策要交叉官方后台数据.
类目差异极大. 美妆 / 母婴 / 食品 / 个护 / 服饰种草强逻辑, 工具类 / B2B / 重决策类目要另一套打法.
强监管行业不在本 prototype 范围: 医美 / 保健 / 减肥 / 金融 / 证券 / 政治 / 宗教 等在小红书都是高敏感类目, 需独立合规审查.
2026-2027 政策窗口高度不确定. 商业化加速 vs 社区底线张力还在演化, 不要押 6 个月就过时的套路.
Time-decay Registry
This skill's modules decay at different speeds. Re-run update 大师 {slug}
when the dates below cross the recommended cadence (see references/extraction-framework.md § 八).
| Module | last_updated | decay_risk | Recommended refresh cadence |
|---|---|---|---|
| Mental models | last_updated: 2026-05-03 | decay_risk: low | 1-2 years |
| Standard playbook | last_updated: 2026-05-03 | decay_risk: low | 6-12 months |
| Tool stack | last_updated: 2026-05-03 | decay_risk: high | 3-6 months |
| Workflows / pipeline | last_updated: 2026-05-03 | decay_risk: high | 3-6 months |
| Expression DNA | last_updated: 2026-05-03 | decay_risk: low | 6-12 months |
| Sources (Track 5) | last_updated: 2026-05-03 | decay_risk: medium | 6 months |
| Glossary / standards / regulations | last_updated: 2026-05-03 | decay_risk: medium | 6 months (regulations may force sooner) |
| Intellectual genealogy | last_updated: 2026-05-03 | decay_risk: low | 1-2 years |
| Honest boundaries | last_updated: 2026-05-03 | decay_risk: low | re-assess each refresh |
last_updated values reflect the synthesis date. Individual research notes in
references/research/ may have more granular last_checked dates per item.
© swaylq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 15 other files in prototypes/xiaohongshu-ops-master/output of swaylq/master-skill.
- SKILL.md
- cli/README.md
- cli/decision/general-playbook.sh
- cli/decision/topic-1.sh
- cli/decision/topic-2.sh
- cli/decision/topic-3.sh
- cli/decision/topic-4.sh
- cli/lib/common.sh
- cli/protocol/agentic.sh
- cli/workflow/kfs-1.sh
- cli/workflow/kfs.sh
- cli/workflow/workflow-1.sh
- cli/workflow/workflow-2.sh
- cli/workflow/workflow-3.sh
- meta.json
- sub-skills
Open the folder on GitHubat commit 3dd8a77
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| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
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| Xiaohongshu Ops Master this skillswaylq/master-skill | 148 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Yuwen Publish Precheckyuwen-cool/yuwen-publish-precheck | 778 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Video Podcast MakerAgents365-ai/video-podcast-maker | 1.7k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Xhs Note Creatorcomeonzhj/Auto-Redbook-Skills | 2.3k | — | ~580 | Automated safety check: Notes | None |
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Works with
Questions about Xiaohongshu Ops Master
What does Xiaohongshu Ops Master do?
小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Xiaohongshu Ops Master is an agent skill from swaylq/master-skill. 小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up.
When should I use Xiaohongshu Ops Master?
Xiaohongshu Ops Master fits situations like: this skill when the user works on xiaohongshu operations problems and wants industry-grade thinking; workflow guidance.
How do I install Xiaohongshu Ops Master in Claude Code?
Run `npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a claude-code`. Or copy the skill folder (prototypes/xiaohongshu-ops-master/output in swaylq/master-skill) into .claude/skills/xiaohongshu-ops-master in your project. Claude Code loads it when a task matches its description.
How do I install Xiaohongshu Ops Master in Codex?
Run `npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a codex`. Or copy the skill folder (prototypes/xiaohongshu-ops-master/output in swaylq/master-skill) into .agents/skills/xiaohongshu-ops-master in your project. Codex loads it when a task matches its description.
Can I use Xiaohongshu Ops Master in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add swaylq/master-skill --skill xiaohongshu-ops-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaohongshu-ops-master, .gemini/skills/xiaohongshu-ops-master, .github/skills/xiaohongshu-ops-master and .opencode/skills/xiaohongshu-ops-master in your project.
What does Xiaohongshu Ops Master need to run?
Going by SKILL.md and its folder, Xiaohongshu Ops Master needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
Does Xiaohongshu Ops Master access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Xiaohongshu Ops Master safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Xiaohongshu Ops Master use?
Xiaohongshu Ops Master is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Xiaohongshu Ops Master use?
About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Xiaohongshu Ops Master?
Skills that share tags, products or a category with Xiaohongshu Ops Master: Agent Reach (Panniantong/Agent-Reach, 95k stars), Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Yuwen Publish Precheck (yuwen-cool/yuwen-publish-precheck, 778 stars) and Video Podcast Maker (Agents365-ai/video-podcast-maker, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Xiaohongshu Ops Master?
swaylq (a GitHub user) maintains it in swaylq/master-skill, which has 148 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 6, 2026.
Source: swaylq/master-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.