app-store-review-arbit…
Fetches low-star App Store and Google Play reviews, clusters them into broken-promise patterns, and generates a ranked copy brief…
Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.
Claude Code
$ npx -y skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel --agent claude-code
Codex
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a codex -y
Cursor
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a cursor -y
Gemini CLI
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a gemini-cli -y
GitHub Copilot
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a github-copilot -y
OpenCode
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a opencode -y
Windsurf
$ npx skills add Varnan-Tech/opendirectory --skill noise-to-linkedin-carousel -a windsurf -y
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.
The user will provide source material which may be:
You must follow these steps precisely to fulfill the user's request:
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.
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.*
Draft 3 distinct cover hook options explicitly labeled with the pattern used. *Refer to `references/hook-patterns.md` for the formulas needed.*
Create the content. You must adhere strictly to the quality constraints:
*Review `references/quality-checklist.md` during drafting and perform a strict rubric check to ensure high standards.*
Format the final response strictly and deterministically according to the schema provided in `references/output-format.md`.
Return ONLY the structured markdown response expected by the output schema.
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