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    Article to Thread

    1

    Transforms technical articles into structured X threads and LinkedIn posts without marketing fluff or handle leaks.

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    1 install5.0 (1 review)
    Article to Thread

    Article to Thread

    Example session with this skill installed

    Turn article.md for Project Falcon into an X thread (max 5 posts) and LinkedIn post. CTA points to https://falcon.dev/demo. No emojis. Check docs/positioning.md first.

    • Read your context and instructions
    • Compiled the article to thread

    Processed article.md for Project Falcon. Extracted thesis and 4 cuts. Social copy generated and saved to docs/thread.md. Status: ready.

    Social Media Handoff: Project Falcon

    Product: Project Falcon
    Source Article: article.md
    Status: ready

    Frozen Thesis

    Project Falcon reduces CI/CD overhead by 40% through automated dependency sharding, eliminating the manual bottleneck in multi-repo environments.

    Social Content Blocks

    Thread (X/Twitter)

    1/4 Project Falcon reduces CI/CD overhead by 40% through automated dependency sharding, eliminating the manual bottleneck in multi-repo environments. [158 chars]

    2/4 Manual sharding requires constant maintenance as repos grow. Falcon automates this by analyzing dependency graphs in real-time. [129 chars]

    3/4 Testing on the Harbor Desk article showed a reduction in pipeline stalls from 12 daily to zero over a 30-day period. [118 chars]

    4/4 Move faster by automating your dependency management. View the demo: https://falcon.dev/demo [94 chars]

    LinkedIn Post

    Hook: Project Falcon reduces CI/CD overhead by 40% through automated dependency sharding.

    Body: The manual bottleneck in multi-repo environments is a silent productivity killer. As your repository count grows, so does the maintenance cost of manual sharding. Project Falcon solves this by analyzing dependency graphs in real-time and automating the sharding process. In recent tests, this approach eliminated pipeline stalls entirely over a 30-day window.

    Close: Move faster by automating your dependency management.
    CTA: View the demo: https://falcon.dev/demo
    Hashtags: none

    Residual Notes

    • published: no
    • posted: no
    • voice: not loaded
    • handle stripped: 0
    • killed soup: [scalable, robust, next-gen]

    Next steps

    1. Review the generated copy in docs/thread.md.
    2. Verify the 40% claim matches your latest internal benchmarks.
    3. Manually copy the blocks into your social scheduler.
    Processed article.md

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Repurposing long-form articles into social content often leads to shallow summaries, broken character limits, and generic engagement bait. Manually stripping internal handles and maintaining a consistent thesis across different platforms is time-consuming and prone to error.

    What it does

    • Extracts a single testable thesis and 3-7 specific factual cuts from a source article file.
    • Generates a numbered X thread within specific character and post count limits.
    • Drafts a platform-specific LinkedIn post that shares the same thesis without duplicating the thread structure.
    • Hard-filters marketing "soup" and engagement bait like "A thread:" or "I'm excited to share."
    • Strictly strips social handles and profile URLs to ensure privacy and prevent accidental leaks.

    Why this beats prompting it yourself

    This skill enforces a rigid "freeze source" procedure that prevents the AI from inventing new claims or padding thin articles. It includes a built-in refuse list for generic marketing adjectives and strictly ignores voice files to prevent prompt injection or inconsistent tone shifts.

    Use cases

    • Converting a technical blog post into an educational X thread and a professional LinkedIn summary.
    • Summarizing a new product announcement article for social distribution.
    • Generating social copy from internal documentation while ensuring no internal handles or URLs are exposed.

    Known limitations

    Requires a local article file as input. Refuses to process voice files or login to social media accounts for posting.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    What's inside

    Frequently Asked Questions