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SKILL verified MIT Self-run

Cross Post Adapt

skill-gokulb20-crewm8-social-media-manager-skill-graph-cross-post-adapt · by gokulb20

Adapt one piece of content into platform-native variants for X, LinkedIn, Instagram, and TikTok — no copy-paste. Each version feels purpose-built for its platform.

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Install

$ agentstack add skill-gokulb20-crewm8-social-media-manager-skill-graph-cross-post-adapt

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Cross-Post Adapt

Transform a single content idea into platform-native posts that do NOT look like the same post copied four times. Each version earns its place on its platform.

Purpose

Audiences follow brands across platforms. If they see the same post with different line breaks on X and LinkedIn, they feel like the brand doesn't respect the platform. This skill adapts the core message structurally and tonally for each platform so it feels native everywhere.

When to Use

  • Founder wrote one post and says "put this everywhere"
  • Content calendar calls for the same topic across platforms
  • Building a multi-platform campaign around one message

Inputs Required

  • Source content (text and format)
  • Source platform
  • Target platforms
  • Core message (one sentence — the invariant)

Quick Reference

| Source Format | X Adaptation | LinkedIn Adaptation | IG Adaptation | TikTok Adaptation | |--------------|-------------|--------------------|--------------|-----------------| | X thread (6-10) | (source) | Condense to 900-1200 char story post or carousel | Extract 1-2 insights as quote cards + caption | Extract 1 insight as video script (30-60s) | | LinkedIn post | Condense to thread (4-6 tweets) | (source) | Pull key insight + visual | Pull 1 insight for ~30s video | | IG caption | Extract strongest line as short post or mini-thread | Expand into 900-char story post | (source) | Turn into video script | | TikTok script | Condense to short post or mini-thread | Expand to professional-framed post | Adapt to Reels format | (source) |

Procedure

  1. Extract the core message (one sentence — preserve this across all platforms).
  1. For each target platform, determine:
  • Best format (thread, short post, carousel, video)
  • What needs to change structurally
  • What needs to change tonally
  1. Write each adaptation from scratch:
  • Do NOT copy-paste and tweak
  • Preserve the core message but express it in the platform's native language
  • New hooks per platform
  • Platform-specific CTAs
  1. Check for copy-paste signals:
  • Same hook across platforms
  • Same emoji patterns
  • Same paragraph structure
  • Same hashtag density
  1. Sequence cross-platform posting:
  • Post to primary platform first
  • Wait 2-4 hours before adapted version on secondary platform
  • Adjust if primary version is performing exceptionally well

Output Format

# Cross-Post: [Core Message]

## Source
**Platform:** [Original]
**Format:** [Thread / Post / Caption / Script]
**Core message:** [One sentence]

---

## X Adaptation
**Format:** [Thread / Short post]
[Full content]
**Changes:** [What was restructured and why]

## LinkedIn Adaptation
**Format:** [Post / Carousel]
[Full content]
**Changes:** [What was restructured and why]

## Instagram Adaptation
**Format:** [Feed / Carousel / Reel / Story]
**Visual concept:** [What leads]
[Caption]
**Changes:** [What was restructured and why]

## TikTok Adaptation
**Format:** [Video script / N sec]
**Hook (first 1.5s):** [Text overlay + visual]
[Full script]
**Changes:** [What was restructured and why]

## Posting Sequence
1. [Platform] at [time] — primary
2. [Platform] at [time] — secondary (+ delay)
...

Done Criteria

The skill is complete when:

  1. Core message is preserved across all adaptations
  2. Each adaptation has a unique hook
  3. Each adaptation has a platform-appropriate CTA
  4. No "copy-paste" signals exist between adaptations
  5. Posting sequence with time spacing is specified

Pitfalls

  • "Changing line breaks and calling it adapted" — audiences on multiple platforms will see both
  • Same CTA everywhere (LinkedIn wants "agree?" — TikTok wants "follow for part 2")
  • Adapting a format that doesn't work on the target platform
  • Posting all versions simultaneously (clone content feeds)

Verification

Put the adaptations side by side. If you blocked out the platform label, could you tell which platform each was written for? If not, they're too similar.

Example

Input: X thread (7 tweets): "Top 5 SaaS pricing mistakes founders make."

LinkedIn adaptation: Condense to 900-char LinkedIn post. Structure: hook → 5 mistakes in flowing narrative (not bullet list) → lesson → CTA. Tone: slightly more professional. Hashtags: 3 at end.

IG adaptation: Carousel format. Slide 1: Cover "5 pricing mistakes that kill growth." Slides 2-6: One mistake per slide + visual metaphor (graph, icon). Final slide: CTA + brand. Caption: "Which mistake have you made? Drop it in the comments."

TikTok adaptation: 60-second video. Hook: "I made this pricing mistake. Cost me $10K." Body: rapid-fire walkthrough of 5 mistakes with visual overlays. CTA: "Follow for part 2 — how to fix them."

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.