Transforms messy, unstructured source material (transcripts, rough notes, etc.) into a polished, structured LinkedIn carousel content pack for founders and GTM teams.
npx skills add https://github.com/Varnan-Tech/opendirectory --skill 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.
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:
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.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take varnan-tech/noise-to-linkedin-carousel from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.