Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
Write a Twitter/X post or thread based on research findings or a given topic.
Install Twitter Post
$ npx skills add langchain-ai/langgraph-101 --skill twitter-post -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/langgraph-101 twitter-post --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/langchain-ai/langgraph-101.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/deep_agent/skills/twitter-post .claude/skills/twitter-post && 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-post" agent skill from https://github.com/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-post into .claude/skills/twitter-post/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-post", 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/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-postType 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 langchain-ai/langgraph-101 --skill twitter-post -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/langgraph-101 twitter-post --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/langgraph-101.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agents/deep_agent/skills/twitter-post .agents/skills/twitter-post && 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-post" agent skill from https://github.com/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-post into .agents/skills/twitter-post/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-post", 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 langchain-ai/langgraph-101 --skill twitter-post -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/langgraph-101 twitter-post --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/langgraph-101.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agents/deep_agent/skills/twitter-post .cursor/skills/twitter-post && 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-post" agent skill from https://github.com/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-post into .cursor/skills/twitter-post/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-post", 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/langchain-ai/langgraph-101.git --path agents/deep_agent/skills/twitter-post--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 langchain-ai/langgraph-101 --skill twitter-post -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/langgraph-101 twitter-post --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/langgraph-101.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agents/deep_agent/skills/twitter-post .gemini/skills/twitter-post && 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-post" agent skill from https://github.com/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-post into .gemini/skills/twitter-post/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-post", 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 langchain-ai/langgraph-101 twitter-postInstalls 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 langchain-ai/langgraph-101 --skill twitter-post -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/langgraph-101.git skills-src && mkdir -p .github/skills && cp -r skills-src/agents/deep_agent/skills/twitter-post .github/skills/twitter-post && 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-post" agent skill from https://github.com/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-post into .github/skills/twitter-post/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-post", 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 langchain-ai/langgraph-101 --skill twitter-post -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/langgraph-101 twitter-post --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/langgraph-101.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agents/deep_agent/skills/twitter-post .opencode/skills/twitter-post && 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-post" agent skill from https://github.com/langchain-ai/langgraph-101/tree/main/agents/deep_agent/skills/twitter-post into .opencode/skills/twitter-post/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-post", 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-post- GitHub stars
- 679
- Token cost
- ~587 tokens
- SKILL.md length
- 150 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
Write a Twitter/X post or thread based on research findings or a given topic.
- Asked to create tweets
- SKILL.md covers Single Tweet Format, Thread Format (for longer…, Tone and Tips, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Social media threads
What it does
Twitter Post is an agent skill from langchain-ai/langgraph-101, published by the product's own GitHub organization. Write a Twitter/X post or thread based on research findings or a given topic. Use this skill when asked to create tweets, X posts, or social media threads.
Its SKILL.md is about 590 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 Writing & Content, covering Social media posts. It works with X (Twitter). The repository describes itself as: Learn about the fundamentals of LangGraph through a series of notebooks. The licence is MIT.
When your agent uses it
- Asked to create tweets
- Social media threads
Example prompts
- “/twitter-post”
What it can do on your machine
Read from SKILL.md and the folder at commit 508ef15. 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.
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
Twitter Post loads about 587 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 150 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 langchain-ai/langgraph-101 at commit 508ef15, republished under its MIT licence (© langchain-ai). 150 words, ~587 tokens.
Download SKILL.mdSave it as
.claude/skills/twitter-post/SKILL.md (or your agent's skills folder).- name
- twitter-post
- description
- Write a Twitter/X post or thread based on research findings or a given topic. Use this skill when asked to create tweets, X posts, or social media threads.
Twitter/X Post Skill
Single Tweet Format
- Maximum 280 characters
- Lead with the most compelling point
- Use numbers or data when possible
- End with a link placeholder or call-to-action
- 1-2 hashtags max (optional)
Thread Format (for longer content)
- Tweet 1: Hook + preview of what's coming (e.g., "A thread on X:" or "Here's what I found:")
- Tweets 2-N: One idea per tweet, numbered (1/, 2/, 3/)
- Final tweet: Summary + call-to-action + link
- Keep each tweet self-contained (people share individual tweets)
- 4-8 tweets is the sweet spot for engagement
Tone
- Concise and punchy
- Opinionated takes perform better than neutral summaries
- Use plain language -- no corporate speak
- Contrarian or surprising angles get more engagement
Tips
- Front-load the value (no throat-clearing or preambles)
- Use line breaks within tweets for readability
- Avoid hashtags in threads (they look spammy) -- save them for single tweets
- Numbers and lists catch the eye in a feed
Example Single Tweet
AI agents that manage their context window well outperform those with 10x more tools.
The secret isn't more capabilities -- it's smarter context engineering.Example Thread
Thread: What makes AI agents actually work in production? 🧵
1/ It's not the model size. It's context management.
The best agents treat their context window like RAM -- offloading to filesystem, summarizing aggressively, loading info on demand.
2/ Subagents are the key to scaling.
Instead of one agent doing everything, delegate to specialists. The main agent only sees the summary, not 50 intermediate tool calls.
3/ Skills > giant system prompts.
Progressive disclosure: load detailed instructions only when the task needs them. Your agent's prompt stays clean until it matters.
4/ Memory needs structure.
Semantic (facts), episodic (experiences), procedural (rules) -- route them to different backends so they persist appropriately.
5/ The takeaway: the best agent architectures are about information flow, not raw capability.
What patterns are you using? Reply with your favorite agent architecture trick.© langchain-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in agents/deep_agent/skills/twitter-post of langchain-ai/langgraph-101.
Open the folder on GitHubat commit 508ef15
Compare with similar skills
Twitter Post 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 Post this skilllangchain-ai/langgraph-101 | 679 | — | ~587 | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Typefullyfreekmurze/dotfiles | 1k | 2 repos | ~3.4k | Automated safety check: Notes | None | |
| Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide | 6.1k | — | ~1.8k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| X Mastery Mentoralchaincyf/x-mentor-skill | 1.2k | — | ~2.3k | Automated safety check: Pass | MIT |
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More from langchain-ai/langgraph-101
- Official
Linkedin Post
langchain-ai/langgraph-101
Write a LinkedIn post based on research findings or a given topic.
Related
Works with
Categories
Questions about Twitter Post
What does Twitter Post do?
Write a Twitter/X post or thread based on research findings or a given topic. Twitter Post is an agent skill from langchain-ai/langgraph-101, published by the product's own GitHub organization. Write a Twitter/X post or thread based on research findings or a given topic.
When should I use Twitter Post?
Twitter Post fits situations like: asked to create tweets; social media threads.
How do I install Twitter Post in Claude Code?
Run `npx skills add langchain-ai/langgraph-101 --skill twitter-post -a claude-code`. Or copy the skill folder (agents/deep_agent/skills/twitter-post in langchain-ai/langgraph-101) into .claude/skills/twitter-post in your project. Claude Code loads it when a task matches its description.
How do I install Twitter Post in Codex?
Run `npx skills add langchain-ai/langgraph-101 --skill twitter-post -a codex`. Or copy the skill folder (agents/deep_agent/skills/twitter-post in langchain-ai/langgraph-101) into .agents/skills/twitter-post in your project. Codex loads it when a task matches its description.
Can I use Twitter Post 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 langchain-ai/langgraph-101 --skill twitter-post -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-post, .gemini/skills/twitter-post, .github/skills/twitter-post and .opencode/skills/twitter-post in your project.
What does Twitter Post need to run?
SKILL.md names no scripts, command-line tools or credentials: Twitter Post is instructions for the agent only.
Does Twitter Post 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 Post 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 Twitter Post use?
Twitter Post 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 Twitter Post use?
About 587 tokens (SKILL.md is roughly 2.3k 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 Twitter Post?
Skills that share tags, products or a category with Twitter Post: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Typefully (freekmurze/dotfiles, 1k stars) and Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Twitter Post?
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/langgraph-101, which has 679 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 1, 2026.
Source: langchain-ai/langgraph-101 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.