Content Collector
vigorX777/content-collector-skill
Collect social media content (X/Twitter, WeChat, Jike, Reddit, etc.) into Feishu bitable.
Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally…
Install Twitter Monitor
$ npx skills add kangarooking/kangarooking-skills --skill twitter-monitor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kangarooking/kangarooking-skills twitter-monitor --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/kangarooking/kangarooking-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/twitter-monitor .claude/skills/twitter-monitor && 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 "twitter-monitor" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/twitter-monitor into .claude/skills/twitter-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-monitor", 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/kangarooking/kangarooking-skills/tree/main/twitter-monitorType 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 kangarooking/kangarooking-skills --skill twitter-monitor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kangarooking/kangarooking-skills twitter-monitor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/kangarooking-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/twitter-monitor .agents/skills/twitter-monitor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "twitter-monitor" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/twitter-monitor into .agents/skills/twitter-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-monitor", 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 kangarooking/kangarooking-skills --skill twitter-monitor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kangarooking/kangarooking-skills twitter-monitor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/kangarooking-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/twitter-monitor .cursor/skills/twitter-monitor && 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 "twitter-monitor" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/twitter-monitor into .cursor/skills/twitter-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-monitor", 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/kangarooking/kangarooking-skills.git --path twitter-monitor--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 kangarooking/kangarooking-skills --skill twitter-monitor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kangarooking/kangarooking-skills twitter-monitor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/kangarooking-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/twitter-monitor .gemini/skills/twitter-monitor && 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 "twitter-monitor" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/twitter-monitor into .gemini/skills/twitter-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-monitor", 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 kangarooking/kangarooking-skills twitter-monitorInstalls 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 kangarooking/kangarooking-skills --skill twitter-monitor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kangarooking/kangarooking-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/twitter-monitor .github/skills/twitter-monitor && 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 "twitter-monitor" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/twitter-monitor into .github/skills/twitter-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-monitor", 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 kangarooking/kangarooking-skills --skill twitter-monitor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kangarooking/kangarooking-skills twitter-monitor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/kangarooking-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/twitter-monitor .opencode/skills/twitter-monitor && 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 "twitter-monitor" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/twitter-monitor into .opencode/skills/twitter-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-monitor", 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
twitter-monitor- GitHub stars
- 662
- Token cost
- ~798 tokens
- SKILL.md length
- 335 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally…
- Works in 6 steps: Ask for X/Twitter account ids when… → Ask the user to provide or configure a… → Confirm pagination depth. Default to… → …
- The user wants to monitor X bloggers
- SKILL.md covers Workflow, Quick Start, Output Schema and Feishu, plus 2 more sections
- Runs Python scripts from its folder; calls python; needs TWITTER_API_KEY
What it does
Twitter Monitor is an agent skill from kangarooking/kangarooking-skills. Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally guide recurring execution through OpenClaw, Codex automations, cron, or launchd. Use when the user wants to monitor X bloggers, collect recent tweets, export tweet metrics, append tweets to Feishu Bitable, or set up a scheduled Twitter/X account tracking workflow.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/accounts.example.json`, `references/feishu-output.md` and `references/scheduling.md`).
It sits in Productivity & Automation, covering Messaging and chat bots, Social media posts and Scheduled and recurring tasks. It works with X (Twitter) and Feishu (Lark). The repository describes itself as: My custom AI Agent skills.
When your agent uses it
- The user wants to monitor X bloggers
- Collect recent tweets
- Export tweet metrics
- Append tweets to Feishu Bitable
Example prompts
- “/twitter-monitor”
Requirements
- Python 3
- A credential in TWITTER_API_KEY
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Ask for X/Twitter account ids when missing. Accept handles such as sama, @sama, profile URLs, or multiple comma-separated ids.
- Ask the user to provide or configure a twitterapi.io API key when TWITTER_API_KEY is unavailable. Do not write API keys into files…
- Confirm pagination depth. Default to --pages 1; use a larger number only when the user asks for more history or accepts higher API usage.
- Run scripts/twitter_monitor.py and generate JSON or CSV output.
- If the user wants Feishu/Lark Bitable output, follow references/feishu-output.md.
- After the one-shot command works, ask whether they want recurring execution. If yes, follow references/scheduling.md, including OpenClaw…
What it can do on your machine
Read from SKILL.md and the folder at commit 08bbee0. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 these keys or tokens, usually read from environment variables:
TWITTER_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Twitter Monitor loads about 798 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 335 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 335 words (~798 tokens).
“Use this skill as an execution workflow, not as a long-running daemon. First complete a one-shot fetch, then offer optional Feishu sync and scheduling only when useful.”
- name
- twitter-monitor
Files
SKILL.md and 6 other files (scripts, references, assets) in twitter-monitor of kangarooking/kangarooking-skills.
- SKILL.md
- assets/accounts.example.json
- assets/env.example
- references/feishu-output.md
- references/scheduling.md
- references/twitterapi-setup.md
- scripts/twitter_monitor.py
Open the folder on GitHubat commit 08bbee0
Compare with similar skills
Twitter Monitor 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 |
|---|---|---|---|---|---|---|
| Twitter Monitor this skillkangarooking/kangarooking-skills | 662 | — | ~798 | Automated safety check: Pass | None | |
| Content CollectorvigorX777/content-collector-skill | 240 | — | ~2k | Automated safety check: Pass | None | |
| Feedgrab BatchiBigQiang/feedgrab | 614 | — | ~1.8k | Automated safety check: Pass | MIT | |
| X Bookmarkssharbelxyz/x-bookmarks | 289 | — | ~2k | Automated safety check: Notes | None | |
| Agent ReachEdisonChenAI/agent-reach | 115 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Web To Markdownrookie-ricardo/erduo-skills | 935 | — | ~894 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Twitter Monitor
What does Twitter Monitor do?
Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally…. Twitter Monitor is an agent skill from kangarooking/kangarooking-skills.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally guide recurring execution through OpenClaw, Codex automations, cron, or launchd.
When should I use Twitter Monitor?
Twitter Monitor fits situations like: the user wants to monitor X bloggers; collect recent tweets; export tweet metrics; append tweets to Feishu Bitable.
How do I install Twitter Monitor in Claude Code?
Run `npx skills add kangarooking/kangarooking-skills --skill twitter-monitor -a claude-code`. Or copy the skill folder (twitter-monitor in kangarooking/kangarooking-skills) into .claude/skills/twitter-monitor in your project. Claude Code loads it when a task matches its description.
How do I install Twitter Monitor in Codex?
Run `npx skills add kangarooking/kangarooking-skills --skill twitter-monitor -a codex`. Or copy the skill folder (twitter-monitor in kangarooking/kangarooking-skills) into .agents/skills/twitter-monitor in your project. Codex loads it when a task matches its description.
Can I use Twitter Monitor 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 kangarooking/kangarooking-skills --skill twitter-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/twitter-monitor, .gemini/skills/twitter-monitor, .github/skills/twitter-monitor and .opencode/skills/twitter-monitor in your project.
What does Twitter Monitor need to run?
Going by SKILL.md and its folder, Twitter Monitor needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named TWITTER_API_KEY. Our summary lists: Python 3; A credential in TWITTER_API_KEY.
Does Twitter Monitor 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 Twitter Monitor 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Twitter Monitor use?
No licence was found for Twitter Monitor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Twitter Monitor use?
About 798 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 704 tokens, read only when the agent opens those files.
What are the alternatives to Twitter Monitor?
Skills that share tags, products or a category with Twitter Monitor: Content Collector (vigorX777/content-collector-skill, 240 stars), Feedgrab Batch (iBigQiang/feedgrab, 614 stars), X Bookmarks (sharbelxyz/x-bookmarks, 289 stars) and Agent Reach (EdisonChenAI/agent-reach, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Twitter Monitor?
kangarooking (a GitHub user) maintains it in kangarooking/kangarooking-skills, which has 662 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on September 7, 2026.
Source: kangarooking/kangarooking-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.