Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Distribute content across multiple social platforms with platform-native adaptation.
| Platform | Max Length | Link Handling | Hashtags | Media |
|---|---|---|---|---|
| X | 280 chars (4000 for Premium) | Counted in length | Minimal (1-2 max) | Images, video, GIFs |
| 3000 chars | Not counted in length | 3-5 relevant | Images, video, docs, carousels | |
| Threads | 500 chars | Separate link attachment | None typical | Images, video |
| Bluesky | 300 chars | Via facets (rich text) | None (use feeds) | Images |
Start with the core idea. Use content-engine skill for high-quality drafts:
Ask the user or determine from context:
For each target platform, transform the content:
X adaptation:
LinkedIn adaptation:
Threads adaptation:
Bluesky adaptation:
Post to the primary platform first:
x-api skill for XPost adapted versions to remaining platforms:
X version:
We just shipped [feature].
[One specific thing it does that's impressive]
[Link]
LinkedIn version:
Excited to share: we just launched [feature] at [Company].
Here's why it matters:
[2-3 short paragraphs with context]
[Takeaway for the audience]
[Link]
Threads version:
just shipped something cool — [feature]
[casual explanation of what it does]
link in bio
X version:
TIL: [specific technical insight]
[Why it matters in one sentence]
LinkedIn version:
A pattern I've been using that's made a real difference:
[Technical insight with professional framing]
[How it applies to teams/orgs]
#relevantHashtag
If using a crossposting service (e.g., Postbridge, Buffer, or a custom API), the pattern looks like:
import os
import requests
resp = requests.post(
"https://your-crosspost-service.example/api/posts",
headers={"Authorization": f"Bearer {os.environ['POSTBRIDGE_API_KEY']}"},
json={
"platforms": ["twitter", "linkedin", "threads"],
"content": {
"twitter": {"text": x_version},
"linkedin": {"text": linkedin_version},
"threads": {"text": threads_version}
}
},
timeout=30
)
resp.raise_for_status()
Without Postbridge, post to each platform using its native API:
x-api skill patternsBefore posting:
content-engine — Generate platform-native contentx-api — X/Twitter API integrationまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
日本語の概要は準備中です。原文の説明を表示しています。
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
日本語の概要は準備中です。原文の説明を表示しています。
Engineering operating model for teams where AI agents generate a large share of implementation output.
日本語の概要は準備中です。原文の説明を表示しています。
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
日本語の概要は準備中です。原文の説明を表示しています。
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
日本語の概要は準備中です。原文の説明を表示しています。
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
日本語の概要は準備中です。原文の説明を表示しています。