x-api skill
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.
Is the x-api skill safe?
Clean: nothing in its files matched our rules. We read 2 files in the folder on 2026-09-28.
No findings.
Install the x-api skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
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
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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.
# Environment setup
export X_BEARER_TOKEN="your-bearer-token"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.
# 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 XAPIKEY, XAPISECRET, and XACCESSSECRET may exist in older setups. Prefer the XCONSUMER and XACCESSTOKEN_SECRET names when documenting or wiring new flows.
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
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
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 idsRead User Timeline
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
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
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
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
# 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
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
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:
- Pull recent original posts when voice matching matters
- Build or reuse a VOICE PROFILE
- Generate content with content-engine in X-native format
- Validate length and thread structure
- Return the draft for approval unless the user explicitly asked to post now
- Post via X API only after approval
- 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
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