x-api — for Claude Code AI4X-Platform-dify, community, for Claude Code, ide skills, ### Post a Thread, ### Read User Timeline, ### Search Tweets, ### Get User by Username, ### Upload Media and Post, Programmatic

v1.0.0

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need programmatic interaction with x (twitter) for posting, reading, searching, and analytics. Resume localise : # X API Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Fonctionnalités

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

# Sujets clés

derekhu0002 derekhu0002
[0]
[0]
Mis à jour: 3/23/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Scenario recommande : Ideal for AI agents that need programmatic interaction with x (twitter) for posting, reading, searching, and analytics. Resume localise : # X API Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Pourquoi utiliser cette compétence

Recommandation : x-api helps agents programmatic interaction with x (twitter) for posting, reading, searching, and analytics. X API Programmatic interaction with X (Twitter) for posting, reading, searching, and

Meilleur pour

Scenario recommande : Ideal for AI agents that need programmatic interaction with x (twitter) for posting, reading, searching, and analytics.

Cas d'utilisation exploitables for x-api

Cas d'usage : Applying Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics
Cas d'usage : Applying User wants to post tweets or threads programmatically
Cas d'usage : Applying Reading timeline, mentions, or user data from X

! Sécurité et Limitations

  • Limitation : OAuth 2.0 (App-Only / User Context)
  • Limitation : Requires repository-specific context from the skill documentation
  • Limitation : Works best when the underlying tools and dependencies are already configured

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Démo Labs

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ et étapes d’installation

These questions and steps mirror the structured data on this page for better search understanding.

? Questions fréquentes

Qu’est-ce que x-api ?

Scenario recommande : Ideal for AI agents that need programmatic interaction with x (twitter) for posting, reading, searching, and analytics. Resume localise : # X API Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Comment installer x-api ?

Exécutez la commande : npx killer-skills add derekhu0002/AI4X-Platform-dify. Elle fonctionne avec Cursor, Windsurf, VS Code, Claude Code et plus de 19 autres IDE.

Quels sont les cas d’usage de x-api ?

Les principaux cas d’usage incluent : Cas d'usage : Applying Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics, Cas d'usage : Applying User wants to post tweets or threads programmatically, Cas d'usage : Applying Reading timeline, mentions, or user data from X.

Quels IDE sont compatibles avec x-api ?

Cette skill est compatible avec Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Utilisez la CLI Killer-Skills pour une installation unifiée.

Y a-t-il des limites pour x-api ?

Limitation : OAuth 2.0 (App-Only / User Context). Limitation : Requires repository-specific context from the skill documentation. Limitation : Works best when the underlying tools and dependencies are already configured.

Comment installer ce skill

  1. 1. Ouvrir le terminal

    Ouvrez le terminal ou la ligne de commande dans le dossier du projet.

  2. 2. Lancer la commande d’installation

    Exécutez : npx killer-skills add derekhu0002/AI4X-Platform-dify. La CLI détectera automatiquement votre IDE ou votre agent et configurera la skill.

  3. 3. Commencer à utiliser le skill

    Le skill est maintenant actif. Votre agent IA peut utiliser x-api immédiatement dans le projet.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

x-api

# X API Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics. This AI agent skill supports Claude Code, Cursor, and

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

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 (App-Only / User Context)

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

bash
1# Environment setup 2export X_BEARER_TOKEN="your-bearer-token"
python
1import os 2import requests 3 4bearer = os.environ["X_BEARER_TOKEN"] 5headers = {"Authorization": f"Bearer {bearer}"} 6 7# Search recent tweets 8resp = requests.get( 9 "https://api.x.com/2/tweets/search/recent", 10 headers=headers, 11 params={"query": "claude code", "max_results": 10} 12) 13tweets = resp.json()

OAuth 1.0a (User Context)

Required for: posting tweets, managing account, DMs.

bash
1# Environment setup — source before use 2export X_API_KEY="your-api-key" 3export X_API_SECRET="your-api-secret" 4export X_ACCESS_TOKEN="your-access-token" 5export X_ACCESS_SECRET="your-access-secret"
python
1import os 2from requests_oauthlib import OAuth1Session 3 4oauth = OAuth1Session( 5 os.environ["X_API_KEY"], 6 client_secret=os.environ["X_API_SECRET"], 7 resource_owner_key=os.environ["X_ACCESS_TOKEN"], 8 resource_owner_secret=os.environ["X_ACCESS_SECRET"], 9)

Core Operations

Post a Tweet

python
1resp = oauth.post( 2 "https://api.x.com/2/tweets", 3 json={"text": "Hello from Claude Code"} 4) 5resp.raise_for_status() 6tweet_id = resp.json()["data"]["id"]

Post a Thread

python
1def post_thread(oauth, tweets: list[str]) -> list[str]: 2 ids = [] 3 reply_to = None 4 for text in tweets: 5 payload = {"text": text} 6 if reply_to: 7 payload["reply"] = {"in_reply_to_tweet_id": reply_to} 8 resp = oauth.post("https://api.x.com/2/tweets", json=payload) 9 resp.raise_for_status() 10 tweet_id = resp.json()["data"]["id"] 11 ids.append(tweet_id) 12 reply_to = tweet_id 13 return ids

Read User Timeline

python
1resp = requests.get( 2 f"https://api.x.com/2/users/{user_id}/tweets", 3 headers=headers, 4 params={ 5 "max_results": 10, 6 "tweet.fields": "created_at,public_metrics", 7 } 8)

Search Tweets

python
1resp = requests.get( 2 "https://api.x.com/2/tweets/search/recent", 3 headers=headers, 4 params={ 5 "query": "from:affaanmustafa -is:retweet", 6 "max_results": 10, 7 "tweet.fields": "public_metrics,created_at", 8 } 9)

Get User by Username

python
1resp = requests.get( 2 "https://api.x.com/2/users/by/username/affaanmustafa", 3 headers=headers, 4 params={"user.fields": "public_metrics,description,created_at"} 5)

Upload Media and Post

python
1# Media upload uses v1.1 endpoint 2 3# Step 1: Upload media 4media_resp = oauth.post( 5 "https://upload.twitter.com/1.1/media/upload.json", 6 files={"media": open("image.png", "rb")} 7) 8media_id = media_resp.json()["media_id_string"] 9 10# Step 2: Post with media 11resp = oauth.post( 12 "https://api.x.com/2/tweets", 13 json={"text": "Check this out", "media": {"media_ids": [media_id]}} 14)

Rate Limits Reference

EndpointLimitWindow
POST /2/tweets20015 min
GET /2/tweets/search/recent45015 min
GET /2/users/:id/tweets150015 min
GET /2/users/by/username30015 min
POST media/upload41515 min

Always check x-rate-limit-remaining and x-rate-limit-reset headers.

python
1import time 2 3remaining = int(resp.headers.get("x-rate-limit-remaining", 0)) 4if remaining < 5: 5 reset = int(resp.headers.get("x-rate-limit-reset", 0)) 6 wait = max(0, reset - int(time.time())) 7 print(f"Rate limit approaching. Resets in {wait}s")

Error Handling

python
1resp = oauth.post("https://api.x.com/2/tweets", json={"text": content}) 2if resp.status_code == 201: 3 return resp.json()["data"]["id"] 4elif resp.status_code == 429: 5 reset = int(resp.headers["x-rate-limit-reset"]) 6 raise Exception(f"Rate limited. Resets at {reset}") 7elif resp.status_code == 403: 8 raise Exception(f"Forbidden: {resp.json().get('detail', 'check permissions')}") 9else: 10 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 content-engine skill to generate platform-native content, then post via X API:

  1. Generate content with content-engine (X platform format)
  2. Validate length (280 chars for single tweet)
  3. Post via X API using patterns above
  4. Track engagement via public_metrics
  • content-engine — Generate platform-native content for X
  • crosspost — Distribute content across X, LinkedIn, and other platforms

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