Lingzao
atian-create/lingzao-skill
Use Lingzao creator-content tools for Xiaohongshu/XHS, Douyin, and WeChat official-account public content.
统一选题编排技能。用户在 AI 对话中要求找、生成、规划、每日刷新或评估自媒体选题时，先读取用户档案和创作者档案，检索知识库，再组合知识库相似内容挖掘、漫步式素材碰撞、评论区洞察、历史选题延展和必要的趋势检查，输出可执行选题池。
Install Content Topic Miner
$ npx skills add Jamailar/Beav --skill content-topic-miner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jamailar/Beav content-topic-miner --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/Jamailar/Beav.git skills-src && mkdir -p .claude/skills && cp -r skills-src/desktop/skills/content-topic-miner .claude/skills/content-topic-miner && 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 "content-topic-miner" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/content-topic-miner into .claude/skills/content-topic-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-topic-miner", 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/Jamailar/Beav/tree/main/desktop/skills/content-topic-minerType 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 Jamailar/Beav --skill content-topic-miner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jamailar/Beav content-topic-miner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .agents/skills && cp -r skills-src/desktop/skills/content-topic-miner .agents/skills/content-topic-miner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "content-topic-miner" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/content-topic-miner into .agents/skills/content-topic-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-topic-miner", 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 Jamailar/Beav --skill content-topic-miner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jamailar/Beav content-topic-miner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/desktop/skills/content-topic-miner .cursor/skills/content-topic-miner && 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 "content-topic-miner" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/content-topic-miner into .cursor/skills/content-topic-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-topic-miner", 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/Jamailar/Beav.git --path desktop/skills/content-topic-miner--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 Jamailar/Beav --skill content-topic-miner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jamailar/Beav content-topic-miner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/desktop/skills/content-topic-miner .gemini/skills/content-topic-miner && 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 "content-topic-miner" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/content-topic-miner into .gemini/skills/content-topic-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-topic-miner", 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 Jamailar/Beav content-topic-minerInstalls 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 Jamailar/Beav --skill content-topic-miner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .github/skills && cp -r skills-src/desktop/skills/content-topic-miner .github/skills/content-topic-miner && 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 "content-topic-miner" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/content-topic-miner into .github/skills/content-topic-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-topic-miner", 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 Jamailar/Beav --skill content-topic-miner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jamailar/Beav content-topic-miner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/desktop/skills/content-topic-miner .opencode/skills/content-topic-miner && 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 "content-topic-miner" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/content-topic-miner into .opencode/skills/content-topic-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-topic-miner", 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
content-topic-miner- GitHub stars
- 1.8k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 234 words
- Files
- 2
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
统一选题编排技能。用户在 AI 对话中要求找、生成、规划、每日刷新或评估自媒体选题时，先读取用户档案和创作者档案，检索知识库，再组合知识库相似内容挖掘、漫步式素材碰撞、评论区洞察、历史选题延展和必要的趋势检查，输出可执行选题池。
- Works in 10 steps: 识别任务类型：即时选题、每日固定数量、平台选题、栏目规划、已有选题延展、方法指定。 → 读取目标上下文：优先读取 profiles://creator_profile… → 收敛目标方向：明确账号方向、目标读者、内容边界、平台、数量、时间范围和禁区。 → …
- Media & Creative work in your project
- SKILL.md covers 产品定位, 触发场景, 编排流程 and 方法组合, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Content Topic Miner is an agent skill from Jamailar/Beav. 统一选题编排技能。用户在 AI 对话中要求找、生成、规划、每日刷新或评估自媒体选题时，先读取用户档案和创作者档案，检索知识库，再组合知识库相似内容挖掘、漫步式素材碰撞、评论区洞察、历史选题延展和必要的趋势检查，输出可执行选题池。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Media & Creative. It works with Xiaohongshu. The repository describes itself as: 小红书 AI 运营工作台｜小红书采集、评论区下载、素材库、选题、AI写作、小红书全域解决方案，开箱即用，一键安装，小红书AI工作台，自媒体素材库，AI写作+图片自动编排，小红书版OpenClaw、自媒体资产底座+AI工作台，支持小红书图文+小红书评论区下载、小红书AI创作工具、自媒体版WorkBuddy、抖音、小红书爬虫数据采集.
When your agent uses it
- Media & Creative work in your project
Example prompts
- “/content-topic-miner”
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- 识别任务类型：即时选题、每日固定数量、平台选题、栏目规划、已有选题延展、方法指定。
- 读取目标上下文：优先读取 profiles://creator_profile 和 profiles://user，必要时读取相关 memory 或当前任务 brief。
- 收敛目标方向：明确账号方向、目标读者、内容边界、平台、数量、时间范围和禁区。
- 生成知识库查询词：用用户目标和账号方向生成 2-4 个查询词，不要只用用户原话。
- 检索知识库：使用 Search(path="knowledge://", query="...") 找相似内容；读取 Top 3-6 个最相关素材。
- 选择方法组合：根据素材类型和用户目标分配 knowledge mining、wander-style collision、comment insight、history extension、trend check。
- 产出候选：每个方法输出可追溯候选，不要混淆原始方法证据。
- 去重排序：按账号适配、读者问题、来源支撑、传播钩子、长期栏目价值、风险和新鲜度评分。
- 写入选题中心：最终候选生成后，先调用 Operate(resource="topicCenter", operation="bulkUpsert", input={ "candidates": [...] }) 保存；每个 candidate 使用…
- 输出最终选题池：给用户可执行列表和已写入选题中心的简短说明，不要只给抽象方向。
What it can do on your machine
Read from SKILL.md and the folder at commit f35befd. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Content Topic Miner loads about 1.3k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 234 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 234 words (~1,284 tokens).
- name
- content-topic-miner
- allowedRuntimeModes
- [redclaw, wander, chatroom, default, team]
- hookMode
- inline
- autoActivate
- false
- activationScope
- turn
- activationHint
- 当用户在 AI 对话中提出“想选题”“帮我找选题”“内容方向创作”“创作方向”“选题方向”“每天生成 N 个选题”“围绕我的方向找内容题”“做选题池/内容日历/栏目方向”，或只给出一个大方向如“AI相关”“职场相关”并期待生成自媒体选题时，调用 `Operate(resource="skills"…
- contextNote
- content-topic-miner 是 AI 对话里的最高层选题编排器。它可以读取用户档案、创作者档案、知识库、历史选题、评论素材和必要的当前事实，并把 wander-synthesis、xhs-comment-insight…
- promptPrefix
- 你当前已加载 content-topic-miner。普通聊天里的选题请求不能只靠泛泛脑暴；先对齐用户目标和账号方向，再检索知识库，最后组合多种选题方法生成候选。AI 对话是外层编排器，可以调用所有已暴露能力，但不要破坏方法技能的内部输入边界。选题中心是所有选题的最终归档位置。
- promptSuffix
- 输出选题时必须标注每个候选的 method、source_evidence、target_reader、user_problem、content_value、fit_reason 和 score。在最终回复用户前，必须调用 `Operate(resource="topicCenter"…
- maxPromptChars
- 9000
Files
SKILL.md and 1 other file in desktop/skills/content-topic-miner of Jamailar/Beav.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit f35befd
Compare with similar skills
Content Topic Miner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Content Topic Miner this skillJamailar/Beav | 1.8k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Lingzaoatian-create/lingzao-skill | 295 | 1 repos | ~8.8k | Automated safety check: Pass | MIT | |
| Xiaohongshu Ingestchubbyguan/chubbyskills | 1.2k | — | ~613 | Automated safety check: Notes | MIT | |
| Xiaohongshu Expertokooo5km/Skills4U | 183 | — | ~931 | Automated safety check: Pass | MIT | |
| Video To ArticleZJU-REAL/Easel | 3.2k | — | ~585 | Automated safety check: Pass | Apache-2.0 | |
| Xhs CarouselCatCatUncle/openworkbuddy | 277 | — | ~505 | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Content Topic Miner
What does Content Topic Miner do?
统一选题编排技能。用户在 AI 对话中要求找、生成、规划、每日刷新或评估自媒体选题时，先读取用户档案和创作者档案，检索知识库，再组合知识库相似内容挖掘、漫步式素材碰撞、评论区洞察、历史选题延展和必要的趋势检查，输出可执行选题池。. Content Topic Miner is an agent skill from Jamailar/Beav.
When should I use Content Topic Miner?
Content Topic Miner fits situations like: media & Creative work in your project.
How do I install Content Topic Miner in Claude Code?
Run `npx skills add Jamailar/Beav --skill content-topic-miner -a claude-code`. Or copy the skill folder (desktop/skills/content-topic-miner in Jamailar/Beav) into .claude/skills/content-topic-miner in your project. Claude Code loads it when a task matches its description.
How do I install Content Topic Miner in Codex?
Run `npx skills add Jamailar/Beav --skill content-topic-miner -a codex`. Or copy the skill folder (desktop/skills/content-topic-miner in Jamailar/Beav) into .agents/skills/content-topic-miner in your project. Codex loads it when a task matches its description.
Can I use Content Topic Miner 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 Jamailar/Beav --skill content-topic-miner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-topic-miner, .gemini/skills/content-topic-miner, .github/skills/content-topic-miner and .opencode/skills/content-topic-miner in your project.
What does Content Topic Miner need to run?
SKILL.md names no scripts, command-line tools or credentials: Content Topic Miner is instructions for the agent only.
Does Content Topic Miner 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 Content Topic Miner 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 Content Topic Miner use?
Content Topic Miner has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Content Topic Miner use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Content Topic Miner?
Skills that share tags, products or a category with Content Topic Miner: Lingzao (atian-create/lingzao-skill, 295 stars), Xiaohongshu Ingest (chubbyguan/chubbyskills, 1.2k stars), Xiaohongshu Expert (okooo5km/Skills4U, 183 stars) and Video To Article (ZJU-REAL/Easel, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Topic Miner?
Jamailar (a GitHub user) maintains it in Jamailar/Beav, which has 1,823 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.
Source: Jamailar/Beav on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.