Best fit
- X/Twitter API集成,用于发布推文、线程、读取时间线、搜索和分析。涵盖OAuth认证模式、速率限制和平台原生内容发布。当用户希望以编程方式与X交互时使用。
affaan-m/ECC
X/Twitter API集成,用于发布推文、线程、读取时间线、搜索和分析。涵盖OAuth认证模式、速率限制和平台原生内容发布。当用户希望以编程方式与X交互时使用。
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/x-api"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from affaan-m/ECC: 以编程方式与 X(Twitter)交互,用于发布、读取、搜索和分析。
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/x-api"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
export XBEARERTOKEN="your-bearer-token" python import os import requests
export XAPIKEY="your-api-key" export XAPISECRET="your-api-secret" export XACCESSTOKEN="your-access-token" export XACCESSSECRET="your-access-secret" python import os from requestsoauthlib import OAuth1Session
mediaresp = oauth.post( "https://upload.twitter.com/1.1/media/upload.json", files={"media": open("image.png", "rb")} ) mediaid = mediaresp.json()["mediaidstring"]
resp = oauth.post( "https://api.x.com/2/tweets", json={"text": "Check this out", "media": {"mediaids": [mediaid]}} ) python import time
用户希望以编程方式发布推文或帖子串 从 X 读取时间线、提及或用户数据 在 X 上搜索内容、趋势或对话 构建 X 集成或机器人 分析和参与度跟踪 用户提及"发布到 X"、"发推"、"X API"或"Twitter API"
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use x-api to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned x-api source to [task]. Pay particular attention to these source sections: “Environment setup”, “Environment setup — source before use”, “Step 1: Upload media”, “Step 2: Post with media”, “何时激活”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current x-api result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “Environment setup” has been checked.
The source section “Environment setup — source before use” has been checked.
The source section “Step 1: Upload media” has been checked.
The source section “Step 2: Post with media” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
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.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailツイートの投稿、スレッド、タイムラインの読み取り、検索、分析のためのX/Twitter API統合。OAuth認証パターン、レートリミット、プラットフォームネイティブなコンテンツ投稿をカバーする。ユーザーがプログラムでXと対話したい場合に使用する。
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailX/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.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
以编程方式与 X(Twitter)交互,用于发布、读取、搜索和分析。
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/x-api". Inspect the command and pinned source before running it.
No dedicated Agent platform is declared in the pinned source record.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
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.
ツイートの投稿、スレッド、タイムラインの読み取り、検索、分析のためのX/Twitter API統合。OAuth認証パターン、レートリミット、プラットフォームネイティブなコンテンツ投稿をカバーする。ユーザーがプログラムでXと対話したい場合に使用する。
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.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
Grounded design brief from the adopted corpus — style, WCAG-checked color tokens, typography, layout pattern, anti-patterns. Use on ui-design-brief or any which-style/palette/font/chart decision.
以编程方式与 X(Twitter)交互,用于发布、读取、搜索和分析。
最佳适用场景:读取密集型操作、搜索、公开数据。
# 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()
必需用于:发布推文、管理账户、私信。
# Environment setup — source before use
export X_API_KEY="your-api-key"
export X_API_SECRET="your-api-secret"
export X_ACCESS_TOKEN="your-access-token"
export X_ACCESS_SECRET="your-access-secret"
import os
from requests_oauthlib import OAuth1Session
oauth = OAuth1Session(
os.environ["X_API_KEY"],
client_secret=os.environ["X_API_SECRET"],
resource_owner_key=os.environ["X_ACCESS_TOKEN"],
resource_owner_secret=os.environ["X_ACCESS_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/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"]
# Step 2: Post with media
resp = oauth.post(
"https://api.x.com/2/tweets",
json={"text": "Check this out", "media": {"media_ids": [media_id]}}
)
X API 的速率限制因端点、认证方法和账户等级而异,并且会随时间变化。请始终:
x-rate-limit-remaining 和 x-rate-limit-reset 头部信息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")
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}")
.env 文件。.env 文件。 将其添加到 .gitignore。使用 content-engine 技能生成平台原生内容,然后通过 X API 发布:
content-engine — 为 X 生成平台原生内容crosspost — 在 X、LinkedIn 和其他平台分发内容