$ loading_
帮助用户通过 X/Twitter API 发帖、检索、读取时间线并获取分析数据。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "x-api" 技能： 1. 下载 https://raw.githubusercontent.com/affaan-m/ECC/main/skills/x-api/SKILL.md 2. 保存为 ~/.claude/skills/x-api/SKILL.md 3. 装好后重载技能，告诉我可以用了
请用 X API 生成一个示例流程：使用 OAuth 完成认证后，将以下 4 段内容按顺序发布为一个线程，并附上错误重试与速率限制处理建议。
一份发布线程的实现思路或示例代码，包含认证、发帖顺序和异常处理说明。
请使用 X API 设计一个搜索方案，抓取最近 7 天包含品牌关键词和竞品关键词的推文，并返回作者、发布时间、互动量与原文链接。
一套可执行的搜索与数据提取方案，便于监测品牌声量和竞品动态。
请基于 X API 提供一个分析脚本思路，拉取指定账号最近 30 天的发帖数据，统计展示量、点赞、转发、回复，并计算互动率最高的前 10 条内容。
一个账号数据分析方案或脚本示例，可输出核心指标汇总和高表现内容列表。
Drift-prone skill. X API endpoints, access tiers, quotas, and write permissions change frequently. Verify current developer docs and account access before quoting rate limits or implementing a posting/search flow.
Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics.
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()
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 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.
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"],
)
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"]
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
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",
}
)
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",
}
)
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()
resp = requests.get(
"https://api.x.com/2/users/by/username/affaanmustafa",
headers=headers,
params={"user.fields": "public_metrics,description,created_at"}
)
# 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"]
…
为 Quarkus 项目执行发布前验证闭环，涵盖构建、测试、扫描与差异审查。
通过 MCP 连接 X 平台，统一管理用户、推文、点赞、书签与列表数据。