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Bird Cli

Community
antoniolg
bird-cli

Read-only usage of the bird CLI for X/Twitter accounts (timelines, mentions, and analysis). Trigger when asked to inspect whoami, timelines, mentions, replies, search, or reporting tasks without account mutations.

Overview

Publisherantoniolg
Repositoryagent-kit
Skill namebird-cli
Stars
97
Forks
16
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by antoniolg on GitHub. Read the source before you install it.

Installation

Install the Bird Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/antoniolg/agent-kit.git /tmp/agent-kit
mkdir -p .claude/skills
cp -r /tmp/agent-kit/skills/bird-cli .claude/skills/bird-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bird Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bird Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bird Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bird CLI

Safety Policy (Hard Rules)

This skill is read-only with respect to X/Twitter account state.

  • Never use commands that publish or mutate account state.
  • If a request asks for posting or account mutations, refuse that part and offer a read-only alternative.

CRITICAL: bird's default subcommand is tweet (PUBLISH)

  • Running bird <any-text> without a subcommand will PUBLISH that text as a tweet
  • To READ a tweet, ALWAYS use bird read <id-or-url> — never just bird <id>
  • This is the #1 source of accidental tweets. Triple-check every bird command.

Forbidden Commands (never run)

  • bird tweet
  • bird reply
  • bird follow
  • bird unfollow
  • bird unbookmark

Allowed Commands (query/inspection only)

  • bird whoami
  • bird check
  • bird read
  • bird replies
  • bird thread
  • bird search
  • bird mentions
  • bird bookmarks
  • bird likes
  • bird home
  • bird following
  • bird followers
  • bird lists
  • bird list-timeline
  • bird about
  • bird user-tweets
  • bird news / bird trending
  • bird query-ids (including --fresh)
  • NEVER run bird <id-or-url> without a subcommand — bird's default subcommand is tweet (publish), NOT read. Always use bird read <id-or-url> explicitly.

Quick Start

  • Prefer explicit cookie source and browser profile to avoid Safari auto-detection.
  • If multiple accounts exist, pass --chrome-profile and --username explicitly.
  • Defaults can be set in ~/.config/skills/config.json under bird (chrome_profile, username).

Task: List unanswered mentions (most recent first)

  • Run scripts/unanswered_mentions.py with the target profile.
  • If auto-detection fails, pass --username.
  • The script checks bird replies <tweet> for a reply authored by the target username (heuristic).

Examples:

bash
python scripts/unanswered_mentions.py --cookie-source chrome --chrome-profile "<Profile>" --json-out /tmp/bird-unanswered.json --numbered
bash
python scripts/unanswered_mentions.py --cookie-source chrome --chrome-profile "<Profile>" --show-text --limit 10

Output format:

<createdAt> | @author | https://x.com/<author>/status/<id>

Resources

  • scripts/unanswered_mentions.py: lists unanswered mentions in descending date order.
  • scripts/daily_brief.py: daily brief of AI/dev news + home candidates.

Task: Daily brief (AI + dev)

Run:

bash
python scripts/daily_brief.py

Defaults: AI news + Home following, prints 5 news items and 10 home candidates.

Optional flags:

bash
python scripts/daily_brief.py --news-count 5 --home-results 10
python scripts/daily_brief.py --allow-for-you   # use For You instead of Following
python scripts/daily_brief.py --json-out /tmp/bird-daily.json
  • scripts/ignore_mentions.py: mark mention IDs as ignored so they stop appearing.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bird Cli AI skill do?

Read-only usage of the bird CLI for X/Twitter accounts (timelines, mentions, and analysis). Trigger when asked to inspect whoami, timelines, mentions, replies, search, or reporting tasks without account mutations.

Why use Bird Cli on TypingMind?

Because you install it once and use it with any model. Bird Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bird Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antoniolg/agent-kit/tree/main/skills/bird-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bird Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bird Cli?

As many as you like. As long as a model supports skills, you can use Bird Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bird Cli AI skill free?

It is published on GitHub by antoniolg. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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