Copy Research
VKirill/claude-lane-stack
Dispatch copy-lead helpers: Tavily, Codex luna/terra, grok/X, OpenCode DeepSeek, Cursor Grok 4.6 medium-fast.
多源内容采集专家。能从网页、RSS、Tavily搜索、Twitter抓取内容。适用于：信息收集、竞品监控、行业动态追踪。
Install Content Harvester
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill content-harvester -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main content-harvester --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/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/content-harvester .claude/skills/content-harvester && 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-harvester" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvester into .claude/skills/content-harvester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-harvester", 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/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvesterType 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 charlie-chann/ai-agent-langgraph-main --skill content-harvester -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main content-harvester --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/content-harvester .agents/skills/content-harvester && 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-harvester" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvester into .agents/skills/content-harvester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-harvester", 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 charlie-chann/ai-agent-langgraph-main --skill content-harvester -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main content-harvester --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/content-harvester .cursor/skills/content-harvester && 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-harvester" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvester into .cursor/skills/content-harvester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-harvester", 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/charlie-chann/ai-agent-langgraph-main.git --path skills/content-harvester--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 charlie-chann/ai-agent-langgraph-main --skill content-harvester -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main content-harvester --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/content-harvester .gemini/skills/content-harvester && 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-harvester" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvester into .gemini/skills/content-harvester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-harvester", 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 charlie-chann/ai-agent-langgraph-main content-harvesterInstalls 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 charlie-chann/ai-agent-langgraph-main --skill content-harvester -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/content-harvester .github/skills/content-harvester && 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-harvester" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvester into .github/skills/content-harvester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-harvester", 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 charlie-chann/ai-agent-langgraph-main --skill content-harvester -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main content-harvester --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/content-harvester .opencode/skills/content-harvester && 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-harvester" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/content-harvester into .opencode/skills/content-harvester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-harvester", 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-harvester- GitHub stars
- 114
- Token cost
- ~233 tokens
- SKILL.md length
- 46 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- None found
At a glance
多源内容采集专家。能从网页、RSS、Tavily搜索、Twitter抓取内容。适用于：信息收集、竞品监控、行业动态追踪。
- Works in 4 steps: Tavily 搜索（推荐） → 深度抓取页面内容 → RSS 订阅源采集 → …
- Tasks that involve Web search
- SKILL.md covers 使用场景, 工具, 工作流 and 输出格式, plus 1 more section
- Calls node
What it does
Content Harvester is an agent skill from charlie-chann/ai-agent-langgraph-main. 多源内容采集专家。能从网页、RSS、Tavily搜索、Twitter抓取内容。适用于：信息收集、竞品监控、行业动态追踪。
Its SKILL.md is about 230 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Web search. It works with Tavily and X (Twitter).
When your agent uses it
- Tasks that involve Web search
Example prompts
- “/content-harvester”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Tavily 搜索（推荐）
- 深度抓取页面内容
- RSS 订阅源采集
- Twitter 抓取
What it can do on your machine
Read from SKILL.md and the folder at commit 3953a8f. 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
Shell commands in SKILL.md call:
node
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 Harvester loads about 233 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 46 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 46 words (~233 tokens).
- name
- content-harvester
Files
Just SKILL.md in skills/content-harvester of charlie-chann/ai-agent-langgraph-main.
Open the folder on GitHubat commit 3953a8f
Compare with similar skills
Content Harvester 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 Harvester this skillcharlie-chann/ai-agent-langgraph-main | 114 | — | ~233 | Automated safety check: Pass | None | |
| Copy ResearchVKirill/claude-lane-stack | 122 | — | ~827 | Automated safety check: Pass | MIT | |
| TavilyVKirill/claude-lane-stack | 122 | — | ~1k | Automated safety check: Pass | MIT | |
| Ultimate Searchckckck/UltimateSearchSkill | 289 | — | ~944 | Automated safety check: Notes | MIT | |
| Web SearchEXboys/skilllite | 170 | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Mysearchskernelx/MySearch-Proxy | 159 | — | ~3k | Automated safety check: Notes | None |
Similar skills
Tavily
VKirill/claude-lane-stack
Tavily REST search and cited research. An agent skill from VKirill/claude-lane-stack.
Ultimate Search
ckckck/UltimateSearchSkill
双引擎网络搜索：Grok AI 搜索（实时联网+AI分析）+ Tavily 搜索（结构化结果+网页抓取）. An agent skill from ckckck/UltimateSearchSkill.
Web Search
EXboys/skilllite
Web search and content extraction with Tavily and Exa via inference.sh CLI.
Mysearch
skernelx/MySearch-Proxy
Install, verify, debug, and use MySearch MCP/Skill. An agent skill from skernelx/MySearch-Proxy.
Tavily
openclaw/openclaw
Tavily web search, content extraction, and research tools. An agent skill from openclaw/openclaw.
More from charlie-chann/ai-agent-langgraph-main
All 8 skills in this repoWeb Scraper
charlie-chann/ai-agent-langgraph-main
网页数据抓取专家。能提取网页正文、表格、列表、特定元素。适用于：竞品监控、价格追踪、结构化数据采集. An agent skill from charlie-chann/ai-agent-langgraph-main.
Content Publisher
charlie-chann/ai-agent-langgraph-main
内容发布专家。将整理好的内容发布到Twitter、博客、飞书等平台。支持多平台适配. An agent skill from charlie-chann/ai-agent-langgraph-main.
Content Summarizer
charlie-chann/ai-agent-langgraph-main
内容摘要与改写专家。将长文、网页、PDF、视频内容提炼为结构化摘要。适用于：信息压缩、快速阅读、内容复用. An agent skill from charlie-chann/ai-agent-langgraph-main.
Content Aggregator
charlie-chann/ai-agent-langgraph-main
内容聚合与报告生成专家。将多个来源的信息整合为一份综合报告、简报、日报。
Content Organizer
charlie-chann/ai-agent-langgraph-main
内容整理与归档专家。将采集的碎片信息分类、标注、关联，形成可检索的知识库。
Deep Research
charlie-chann/ai-agent-langgraph-main
深度调研专家。针对特定主题进行系统性信息挖掘、交叉验证、形成报告。
Related
Works with
Categories
Questions about Content Harvester
What does Content Harvester do?
多源内容采集专家。能从网页、RSS、Tavily搜索、Twitter抓取内容。适用于：信息收集、竞品监控、行业动态追踪。. Content Harvester is an agent skill from charlie-chann/ai-agent-langgraph-main.
When should I use Content Harvester?
Content Harvester fits situations like: tasks that involve Web search.
How do I install Content Harvester in Claude Code?
Run `npx skills add charlie-chann/ai-agent-langgraph-main --skill content-harvester -a claude-code`. Or copy the skill folder (skills/content-harvester in charlie-chann/ai-agent-langgraph-main) into .claude/skills/content-harvester in your project. Claude Code loads it when a task matches its description.
How do I install Content Harvester in Codex?
Run `npx skills add charlie-chann/ai-agent-langgraph-main --skill content-harvester -a codex`. Or copy the skill folder (skills/content-harvester in charlie-chann/ai-agent-langgraph-main) into .agents/skills/content-harvester in your project. Codex loads it when a task matches its description.
Can I use Content Harvester 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 charlie-chann/ai-agent-langgraph-main --skill content-harvester -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-harvester, .gemini/skills/content-harvester, .github/skills/content-harvester and .opencode/skills/content-harvester in your project.
What does Content Harvester need to run?
Going by SKILL.md and its folder, Content Harvester needs the command-line tools its instructions call (node).
Does Content Harvester 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 Harvester 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 Harvester use?
No licence was found for Content Harvester or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Content Harvester use?
About 233 tokens (SKILL.md is roughly 932 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 Harvester?
Skills that share tags, products or a category with Content Harvester: Copy Research (VKirill/claude-lane-stack, 122 stars), Tavily (VKirill/claude-lane-stack, 122 stars), Ultimate Search (ckckck/UltimateSearchSkill, 289 stars) and Web Search (EXboys/skilllite, 170 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Harvester?
charlie-chann (a GitHub user) maintains it in charlie-chann/ai-agent-langgraph-main, which has 114 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 13, 2026.
Source: charlie-chann/ai-agent-langgraph-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.