Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
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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.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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 integration아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
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Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
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Engineering operating model for teams where AI agents generate a large share of implementation output.
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Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
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REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
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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.
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