Official AI skills for GSAP. These skills teach AI coding agents how to correctly use GSAP (GreenSock Animation Platform), including best practices, common animation patterns, and plugin usage.

The automatic work journal. Privately turns your screen into a timeline of what you actually accomplished. Open-source and local-first.

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

Gantt Gantt Gantt Timeline Schedule Calendar [ javascript gantt, js gantt, projects gantt, timeline, scheduler, gantt timeline, reservation timeline, react gantt, angular gantt, vue gantt, svelte gantt, booking manager ]

Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.

Full-sized drag & drop JavaScript event calendar with resource & timeline views

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

A reusable agent skill that converts natural language into validated Mermaid diagrams and renders them to PNG/SVG/PDF via multiple backends.

Browser extension which gives you more control over your Twitter timeline and adds missing features and UI improvements - for desktop and mobile

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

A reusable Agent Skill that turns research briefs into narrated vertical explainer videos with a pre-render review gate.

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.