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1 pack

@alirezarezvani

Convert long markdown files into world-class single-file interactive HTML — DOMAIN COMPLETE at v2.10.3 (5 skills). v2.10.3 adds md-slides — the slide-deck converter (arrow-key / Space / PgDn / Home / End / P keyboard navigation + presenter mode with split-view clock + speaker notes + next-slide preview + URL-hash deep linking like #3 + @media print page-per-slide for browser-native PDF export; reu

4 skills · pack

Results for “markdown-files”

9 skills

Publishes text, markdown, or files to nosi.pub and returns a permanent shareable URL.

Generates a complete Custom GPT knowledge package from the current workspace project, producing 20 markdown documentation files plus optimized custom instructions for a strategic consultant.

Scans repositories for markdown and HTML documentation, classifies files as repo-local or centralizable content, generates an inventory report, and optionally consolidates content into a centralized docs repository.

Manages a long-term Markdown knowledge base for software projects, capturing architecture, decisions, and conventions in `.lore/` with commands to init, sync, query, audit, compress, and mirror to platform files.

More results

technical-documentation

Build and review high-quality technical documentation, including agent instruction files and contributor-governance files, with support for audits, multilingual parity, and sub-agent orchestration.

pathway-supabase

Pulls pathway, book, course, article, and content item records from a Supabase database for the alan-hirsch tenant, organizes them by portal, and exports the results as markdown files into a local docs repository.

johnalbertini14-glitch

Publishes text, markdown, or files to nosi.pub and returns a shareable URL, handling registration and API key retrieval.

Generates llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.

dontbesilent2025

Turns any long-running domain (business, relationships, health, career, learning, investing) into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time.