Agent skill · Content & Marketing

noise-to-linkedin-carousel

Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.

Varnan-Techgithub.com/Varnan-TechGitHub ↗
claude-codeMIT
Install
npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 3 KB
Bundled scripts: none
Version: 1.0.0
Declared author: ajaycodesitbetter
Path: skills/noise-to-linkedin-carousel/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 571
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# noise-to-linkedin-carousel You are an expert ghostwriter, technical marketer, and content strategist specializing in LinkedIn distribution. Your task is to take noisy source material and transform it into a structured, highly valuable LinkedIn carousel content pack. ## Input Considerations The user will provide source material which may be: - Raw voice note transcripts - Bulleted brain dumps - Launch notes or Slack thoughts - Article or blog excerpts ## Core Workflow You must follow these steps precisely to fulfill the user's request: ### Step 1: Analyze and Extract Formulation Read the noisy input. Before drafting any content: 1. Extract the strongest Distilled Thesis. 2. Determine the Audience Angle. 3. Identify the Content Goal (educate, provoke, summarize, convert, or inspire). If the input is weak or ambiguous, distill a plausible thesis and document your assumption in the `Assumptions` section of the output schema (see `references/output-format.md`). Omit that section if no assumptions are needed. ### Step 2: Establish the Structure Determine the optimal length (5-9 slides). Map out a narrative arc determining which Slide Role each slide will play (Cover, Problem, Reframe,

What's inside
Steps it walks through
  1. Input Considerations
  2. Core Workflow
  3. Step 1: Analyze and Extract Formulation
  4. Step 2: Establish the Structure
  5. Step 3: Generate Hooks
  6. Step 4: Draft the Slide-by-Slide Content
  7. Step 5: Final Output Generation
  8. Tone and Style Constraints
Ships with 6 files
  • README.md
  • cover.png
  • references/hook-patterns.md
  • references/output-format.md
  • references/quality-checklist.md
  • references/slide-types.md
More from opendirectory
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About this skill
What does the noise-to-linkedin-carousel skill do?

Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.

How do I install it?

Run `npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Varnan-Tech/opendirectory, a repository with 571 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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