Agent skill

Noise To Linkedin Carousel

by Varnan-Tech in Varnan-Tech/opendirectory

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

MITAuto-check passedMedia & Creative

Install Noise To Linkedin Carousel

skills CLI
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Varnan-Tech/opendirectory noise-to-linkedin-carousel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Varnan-Tech/opendirectory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/noise-to-linkedin-carousel .claude/skills/noise-to-linkedin-carousel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
noise-to-linkedin-carousel
GitHub stars
674
Token cost
~668 tokens
SKILL.md length
326 words
Files
7 (incl. references)
Skills in repo
61
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Analyze and Extract Formulation → Establish the Structure → Generate Hooks → …
  • Tasks that involve Infographics
  • SKILL.md covers Input Considerations, Core Workflow and Tone and Style Constraints
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Noise To Linkedin Carousel is an agent skill from Varnan-Tech/opendirectory. Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `README.md`, `references/hook-patterns.md` and `references/output-format.md`).

It sits in Media & Creative, covering Infographics, Go-to-market strategy and Slides and decks. The repository describes itself as: AI Agent Skills built for Founders who hate Marketing. The licence is MIT.

When your agent uses it

  • Tasks that involve Infographics
  • Tasks that involve Go-to-market strategy
  • Tasks that involve Slides and decks

Example prompts

  • “Use the noise-to-linkedin-carousel skill to transform messy, unstructured source material (transcripts, rough notes, etc.) into a polished…”
  • “/noise-to-linkedin-carousel”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Analyze and Extract Formulation
  2. Establish the Structure
  3. Generate Hooks
  4. Draft the Slide-by-Slide Content
  5. Final Output Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 62e437a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Noise To Linkedin Carousel loads about 668 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 326 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~668
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Varnan-Tech/opendirectory at commit 62e437a, republished under its MIT licence (© Varnan-Tech). 326 words, ~668 tokens.

Download SKILL.mdSave it as .claude/skills/noise-to-linkedin-carousel/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
noise-to-linkedin-carousel
description
Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.
author
ajaycodesitbetter
version
1.0.0

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, Insight, Framework, Example, Proof, Takeaway, CTA). Refer to references/slide-types.md for understanding the exact nature and execution rules of these slide roles.

Step 3: Generate Hooks

Draft 3 distinct cover hook options explicitly labeled with the pattern used. Refer to references/hook-patterns.md for the formulas needed.

Step 4: Draft the Slide-by-Slide Content

Create the content. You must adhere strictly to the quality constraints:

  • One main idea per slide.
  • Short, punchy copy. Absolutely no large paragraphs.
  • Provide a visual direction/intent for each slide indicating how a designer should construct it. Review references/quality-checklist.md during drafting and perform a strict rubric check to ensure high standards.
Step 5: Final Output Generation

Format the final response strictly and deterministically according to the schema provided in references/output-format.md.

Tone and Style Constraints

  • Clear, sharp, and founder-friendly.
  • Educational, credible, and practical.
  • AVOID: Vague motivational fluff, heavy jargon without context, or cliché "growth-hacking" tones.

Return ONLY the structured markdown response expected by the output schema.

© Varnan-Tech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in skills/noise-to-linkedin-carousel of Varnan-Tech/opendirectory.

  • SKILL.md
  • README.md
  • cover.png
  • references/hook-patterns.md
  • references/output-format.md
  • references/quality-checklist.md
  • references/slide-types.md

Open the folder on GitHubat commit 62e437a

Compare with similar skills

Noise To Linkedin Carousel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Noise To Linkedin Carousel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Noise To Linkedin Carousel this skillVarnan-Tech/opendirectory674—~668Automated safety check: PassMIT
Create HTML Carouselgooseworks-ai/goose-skills1.2k1 repos~4.6kAutomated safety check: PassMIT
Visual Explainernicobailon/visual-explainer10k—~3.5kAutomated safety check: PassMIT
Strategy Consulting Visualizationkgraph57/mckinsey-style-visualization-skill129—~3.2kAutomated safety check: PassMIT
Apple Bento Gridhubeiqiao/apple-bento-grid236—~2.8kAutomated safety check: PassMIT
Gemini Carouselcharlie947/social-media-skills3.8k—~1.7kAutomated safety check: PassMIT

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Questions about Noise To Linkedin Carousel

What does Noise To Linkedin Carousel do?

Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams. Noise To Linkedin Carousel is an agent skill from Varnan-Tech/opendirectory.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.

When should I use Noise To Linkedin Carousel?

Noise To Linkedin Carousel fits situations like: tasks that involve Infographics; tasks that involve Go-to-market strategy; tasks that involve Slides and decks.

How do I install Noise To Linkedin Carousel in Claude Code?

Run `npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a claude-code`. Or copy the skill folder (skills/noise-to-linkedin-carousel in Varnan-Tech/opendirectory) into .claude/skills/noise-to-linkedin-carousel in your project. Claude Code loads it when a task matches its description.

How do I install Noise To Linkedin Carousel in Codex?

Run `npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a codex`. Or copy the skill folder (skills/noise-to-linkedin-carousel in Varnan-Tech/opendirectory) into .agents/skills/noise-to-linkedin-carousel in your project. Codex loads it when a task matches its description.

Can I use Noise To Linkedin Carousel in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/noise-to-linkedin-carousel, .gemini/skills/noise-to-linkedin-carousel, .github/skills/noise-to-linkedin-carousel and .opencode/skills/noise-to-linkedin-carousel in your project.

What does Noise To Linkedin Carousel need to run?

SKILL.md names no scripts, command-line tools or credentials: Noise To Linkedin Carousel is instructions for the agent only.

Does Noise To Linkedin Carousel access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Noise To Linkedin Carousel safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Noise To Linkedin Carousel use?

Noise To Linkedin Carousel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Noise To Linkedin Carousel use?

About 668 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Noise To Linkedin Carousel?

Skills that share tags, products or a category with Noise To Linkedin Carousel: Create HTML Carousel (gooseworks-ai/goose-skills, 1.2k stars), Visual Explainer (nicobailon/visual-explainer, 10k stars), Strategy Consulting Visualization (kgraph57/mckinsey-style-visualization-skill, 129 stars) and Apple Bento Grid (hubeiqiao/apple-bento-grid, 236 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Noise To Linkedin Carousel?

Varnan-Tech (a GitHub organization) maintains it in Varnan-Tech/opendirectory, which has 674 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on August 16, 2026.

Source: Varnan-Tech/opendirectory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.