Agent Skills Hub

troubleshooting-docs

Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.

startup-canvas

Generate a Startup Canvas combining Product Strategy (9 sections) and a Business Model for new products. A strategic framework designed to separate vision from execution to ensure product success.

json-canvas

Create, edit, and manage JSON Canvas (.canvas) files for visual note-taking, mind mapping, and flowcharts in Obsidian.

instagram-poster

Automate Instagram posts via Telegram or CLI. Features residential proxy bypass, session caching, and WaveSpeed image integration.

identify-assumptions-existing

Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.

aarnphm.github.io

A highly customized personal garden based on Quartz v4, featuring enhanced Markdown parsing, telescopic text, TikZ/pseudocode rendering, and Obsidian integration.

linkedin-lead-gen

Automated LinkedIn lead generation for tech services. Identifies non-tech founders, performs website gap analysis, and generates professional PDF audit reports for high-value B2B outreach.

skill-memory

A Git-backed memory store for agent skills. Download, version, edit, and share custom agent behaviors and procedural knowledge using a CLI.

vertesia-plugin

Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.

build-design-system

Build a cohesive, constraint-based design system using the Design Graph methodology. Automate the creation of design tokens, typography scales, components, variants, and themes.

study-note

Log ideas, notes, and learning progress chronologically to project archives using a CLI helper tool for systematic knowledge retention.

prompt-estruturado

A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.