Crosspost

作者 affaan-mef648e01899bMIT275K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 天前更新

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.

AI 產生的概覽

把同一份內容改寫成適合 X、LinkedIn、Threads 與 Bluesky 的各平台版本。

功能
這個技能會以內容的主要版本為起點,為 X、LinkedIn、Threads 與 Bluesky 產出改寫後的版本。它在保留作者語氣的同時,依各平台限制調整內容,並明確禁止在各平台發布完全相同的文案。輸出包含主要平台版本、各平台改寫版本、簡短的變更與原因說明,以及使用者仍需處理的發布限制。
適用情境
當使用者想把同一個想法、發布、更新、上線或文章分散到多個社群平台時使用。適合「crosspost」、「post this everywhere」或「adapt this for X and LinkedIn」這類需求。
執行需求
僅為指示,未附任何指令碼。它引用了名為 content-engine、brand-voice 與 x-api 的相關技能,但本身不需要憑證或網路存取。

Crosspost

Distribute content across platforms without turning it into the same fake post in four costumes.

When to Activate

  • the user wants to publish the same underlying idea across multiple platforms
  • a launch, update, release, or essay needs platform-specific versions
  • the user says "crosspost", "post this everywhere", or "adapt this for X and LinkedIn"

Core Rules

  1. Do not publish identical copy across platforms.
  2. Preserve the author's voice across platforms.
  3. Adapt for constraints, not stereotypes.
  4. One post should still be about one thing.
  5. Do not invent a CTA, question, or moral if the source did not earn one.

Workflow

Step 1: Start with the Primary Version

Pick the strongest source version first:

  • the original X post
  • the original article
  • the launch note
  • the thread
  • the memo or changelog

Use content-engine first if the source still needs voice shaping.

Step 2: Capture the Voice Fingerprint

Run brand-voice first if the source voice is not already captured in the current session.

Reuse the resulting VOICE PROFILE directly. Do not build a second ad hoc voice checklist here unless the user explicitly wants a fresh override for this campaign.

Step 3: Adapt by Platform Constraint

X

  • keep it compressed
  • lead with the sharpest claim or artifact
  • use a thread only when a single post would collapse the argument
  • avoid hashtags and generic filler

LinkedIn

  • add only the context needed for people outside the niche
  • do not turn it into a fake founder-reflection post
  • do not add a closing question just because it is LinkedIn
  • do not force a polished "professional tone" if the author is naturally sharper

Threads

  • keep it readable and direct
  • do not write fake hyper-casual creator copy
  • do not paste the LinkedIn version and shorten it

Bluesky

  • keep it concise
  • preserve the author's cadence
  • do not rely on hashtags or feed-gaming language

Posting Order

Default:

  1. post the strongest native version first
  2. adapt for the secondary platforms
  3. stagger timing only if the user wants sequencing help

Do not add cross-platform references unless useful. Most of the time, the post should stand on its own.

Banned Patterns

Delete and rewrite any of these:

  • "Excited to share"
  • "Here's what I learned"
  • "What do you think?"
  • "link in bio" unless that is literally true
  • generic "professional takeaway" paragraphs that were not in the source

Output Format

Return:

  • the primary platform version
  • adapted variants for each requested platform
  • a short note on what changed and why
  • any publishing constraint the user still needs to resolve

Quality Gate

Before delivering:

  • each version reads like the same author under different constraints
  • no platform version feels padded or sanitized
  • no copy is duplicated verbatim across platforms
  • any extra context added for LinkedIn or newsletter use is actually necessary

Related Skills

  • brand-voice for reusable source-derived voice capture
  • content-engine for voice capture and source shaping
  • x-api for X publishing workflows

來源與署名

來源:affaan-m/ecc位於.agents/skills/crosspost提交ef648e0

授權條款: MIT

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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