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X Api

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affaan-m
x-api

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

Overview

Publisheraffaan-m
RepositoryECC
Skill namex-api
Stars
270.2K
Forks
40.4K
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by affaan-m on GitHub. Read the source before you install it.

Installation

Install the X Api 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.
    https://github.com/affaan-m/ECC/tree/main/.agents/skills/x-api
  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/affaan-m/ECC.git /tmp/ECC
mkdir -p .claude/skills
cp -r /tmp/ECC/.agents/skills/x-api .claude/skills/x-api
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable X Api 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 X Api 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 X Api 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.

X API

Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics.

When to Activate

  • User wants to post tweets or threads programmatically
  • Reading timeline, mentions, or user data from X
  • Searching X for content, trends, or conversations
  • Building X integrations or bots
  • Analytics and engagement tracking
  • User says "post to X", "tweet", "X API", or "Twitter API"

Authentication

OAuth 2.0 Bearer Token (App-Only)

Best for: read-heavy operations, search, public data.

bash
# Environment setup
export X_BEARER_TOKEN="your-bearer-token"
python
import os
import requests

bearer = os.environ["X_BEARER_TOKEN"]
headers = {"Authorization": f"Bearer {bearer}"}

# Search recent tweets
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={"query": "claude code", "max_results": 10}
)
tweets = resp.json()

OAuth 1.0a (User Context)

Required for: posting tweets, managing account, DMs, and any write flow.

bash
# Environment setup — source before use
export X_CONSUMER_KEY="your-consumer-key"
export X_CONSUMER_SECRET="your-consumer-secret"
export X_ACCESS_TOKEN="your-access-token"
export X_ACCESS_TOKEN_SECRET="your-access-token-secret"

Legacy aliases such as X_API_KEY, X_API_SECRET, and X_ACCESS_SECRET may exist in older setups. Prefer the X_CONSUMER_* and X_ACCESS_TOKEN_SECRET names when documenting or wiring new flows.

python
import os
from requests_oauthlib import OAuth1Session

oauth = OAuth1Session(
    os.environ["X_CONSUMER_KEY"],
    client_secret=os.environ["X_CONSUMER_SECRET"],
    resource_owner_key=os.environ["X_ACCESS_TOKEN"],
    resource_owner_secret=os.environ["X_ACCESS_TOKEN_SECRET"],
)

Core Operations

Post a Tweet

python
resp = oauth.post(
    "https://api.x.com/2/tweets",
    json={"text": "Hello from Claude Code"}
)
resp.raise_for_status()
tweet_id = resp.json()["data"]["id"]

Post a Thread

python
def post_thread(oauth, tweets: list[str]) -> list[str]:
    ids = []
    reply_to = None
    for text in tweets:
        payload = {"text": text}
        if reply_to:
            payload["reply"] = {"in_reply_to_tweet_id": reply_to}
        resp = oauth.post("https://api.x.com/2/tweets", json=payload)
        tweet_id = resp.json()["data"]["id"]
        ids.append(tweet_id)
        reply_to = tweet_id
    return ids

Read User Timeline

python
resp = requests.get(
    f"https://api.x.com/2/users/{user_id}/tweets",
    headers=headers,
    params={
        "max_results": 10,
        "tweet.fields": "created_at,public_metrics",
    }
)

Search Tweets

python
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={
        "query": "from:affaanmustafa -is:retweet",
        "max_results": 10,
        "tweet.fields": "public_metrics,created_at",
    }
)

Pull Recent Original Posts for Voice Modeling

python
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={
        "query": "from:affaanmustafa -is:retweet -is:reply",
        "max_results": 25,
        "tweet.fields": "created_at,public_metrics",
    }
)
voice_samples = resp.json()

Get User by Username

python
resp = requests.get(
    "https://api.x.com/2/users/by/username/affaanmustafa",
    headers=headers,
    params={"user.fields": "public_metrics,description,created_at"}
)

Upload Media and Post

python
# Media upload uses v1.1 endpoint

# Step 1: Upload media
media_resp = oauth.post(
    "https://upload.twitter.com/1.1/media/upload.json",
    files={"media": open("image.png", "rb")}
)
media_id = media_resp.json()["media_id_string"]

# Step 2: Post with media
resp = oauth.post(
    "https://api.x.com/2/tweets",
    json={"text": "Check this out", "media": {"media_ids": [media_id]}}
)

Rate Limits

X API rate limits vary by endpoint, auth method, and account tier, and they change over time. Always:

  • Check the current X developer docs before hardcoding assumptions
  • Read x-rate-limit-remaining and x-rate-limit-reset headers at runtime
  • Back off automatically instead of relying on static tables in code
python
import time

remaining = int(resp.headers.get("x-rate-limit-remaining", 0))
if remaining < 5:
    reset = int(resp.headers.get("x-rate-limit-reset", 0))
    wait = max(0, reset - int(time.time()))
    print(f"Rate limit approaching. Resets in {wait}s")

Error Handling

python
resp = oauth.post("https://api.x.com/2/tweets", json={"text": content})
if resp.status_code == 201:
    return resp.json()["data"]["id"]
elif resp.status_code == 429:
    reset = int(resp.headers["x-rate-limit-reset"])
    raise Exception(f"Rate limited. Resets at {reset}")
elif resp.status_code == 403:
    raise Exception(f"Forbidden: {resp.json().get('detail', 'check permissions')}")
else:
    raise Exception(f"X API error {resp.status_code}: {resp.text}")

Security

  • Never hardcode tokens. Use environment variables or .env files.
  • Never commit .env files. Add to .gitignore.
  • Rotate tokens if exposed. Regenerate at developer.x.com.
  • Use read-only tokens when write access is not needed.
  • Store OAuth secrets securely — not in source code or logs.

Integration with Content Engine

Use brand-voice plus content-engine to generate platform-native content, then post via X API:

  1. Pull recent original posts when voice matching matters
  2. Build or reuse a VOICE PROFILE
  3. Generate content with content-engine in X-native format
  4. Validate length and thread structure
  5. Return the draft for approval unless the user explicitly asked to post now
  6. Post via X API only after approval
  7. Track engagement via public_metrics

Related Skills

  • brand-voice — Build a reusable voice profile from real X and site/source material
  • content-engine — Generate platform-native content for X
  • crosspost — Distribute content across X, LinkedIn, and other platforms
  • connections-optimizer — Reorganize the X graph before drafting network-driven outreach

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 X Api AI skill do?

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

Why use X Api on TypingMind?

Because you install it once and use it with any model. X Api 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 X Api in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/affaan-m/ECC/tree/main/.agents/skills/x-api. 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 X Api?

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 X Api?

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

Is the X Api AI skill free?

Yes. It is published on GitHub by affaan-m under the MIT license. 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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