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Browse reusable Agent Skills, each with a clear purpose and practical guidance.

create-remotion-video

Create or edit video with Remotion. First-party stagewise + Remotion skill. Contains full video-making process.

6.73k repo starsObserved in 1 repos
Documents

history-compression

How stagewise's agent history compression pipeline works — boundary selection, recency bias, chained compressions, and the SQLite-backed test harness for replaying real compressions in LLM playgrounds. Use when debugging, tuning, or extending history compression, when investigating context-window overflow, or when the user wants to probe compression quality against real chat histories.

6.73k repo starsObserved in 1 repos
Agent Building

javascript-sandbox

Best practices for using the stagewise built-in JavaScript sandbox. Explains how to access APIs for browser debugging/interaction, use external dependencies, file system access, running mini-apps, etc.

6.73k repo starsObserved in 1 repos
Development

karton-best-practices

Performance-focused guidelines for writing React code that consumes Karton state. Use when creating or reviewing components that use useKartonState, useKartonProcedure, useComparingSelector, or any Karton React hooks. Covers selector patterns, re-render prevention, structural sharing, and edge cases.

6.73k repo starsObserved in 1 repos
Development

Learn

Create, extract, or update a skill. Use when authoring a new skill from scratch, extracting knowledge from the current session, or updating an existing skill when the user's intentions contradicted skill guidance or content is confusing/outdated.

6.73k repo starsObserved in 1 repos
Agent Building

stage-ui-design-system

Stagewise UI theming, design tokens, derived utilities, and component library reference. Use when creating, editing, or reviewing UI in apps/browser, implementing new screens or components, or styling with Tailwind in the stagewise codebase.

6.73k repo starsObserved in 1 repos
Design

academic-research-suite

ARS-Codex workflows for research, academic writing, manuscript review, research-to-paper pipelines, and experiment planning. Use when the user asks for deep research, literature review, systematic review, meta-analysis, research question refinement, academic paper drafting, paper revision, citation or integrity checks, reviewer simulation, peer review, editorial decision letters, research-to-paper workflows, experiment execution planning, statistical interpretation, or human study protocol support. Korean triggers: 논문 심사, 논문 수정, 초록 작성, 체계적 문헌고찰, 연구부터 논문까지. Also use for Claude-style ARS command aliases such as /ars-plan, ars-plan, /ars-outline, /ars-abstract, /ars-lit-review, /ars-citation-check, /ars-disclosure, /ars-format-convert, /ars-3w, /ars-revision-coach, /ars-revision, /ars-reviewer, /ars-mark-read, /ars-unmark-read, /ars-cache-invalidate, /ars-rebuttal-audit, and /ars-full. This skill vendors ARS role prompts, references, templates, and shared handoff schemas under ars/.

6.72k repo starsObserved in 1 repos
Research

guardrails-developer-create-guardrails

Helps developers create a NeMo Guardrails configuration for an LLM application. Use when users want to build, scaffold, configure, test, or iterate on input, output, retrieval, dialog, execution, Colang, or catalog-based guardrails. Trigger keywords - create guardrails, build guardrails, scaffold config, write rails, create config.yml, add input rails, add output rails, Colang flow, guardrails config, test guardrails.

6.71k repo starsObserved in 1 repos
Agent Building

guardrails-developer-guide

Routes NVIDIA NeMo Guardrails library product-usage questions to the canonical documentation. Use when users ask how to install, configure, integrate, evaluate, observe, deploy, troubleshoot, or use the NVIDIA NeMo Guardrails library. Trigger keywords - install guardrails, configure rails, guardrail catalog, Colang, Python API, LangChain, LangGraph, server, evaluate guardrails, tracing, metrics, Docker, troubleshooting.

6.71k repo starsObserved in 1 repos
DevOps & Security

adapter-ops

Extend LLM and embedding adapters in unstract/sdk1. Use when adding new adapters (LLM or embedding), removing adapters, adding/removing models to existing adapters, or editing adapter configurations. Supports OpenAI-compatible providers, cloud providers (AWS Bedrock, VertexAI, Azure), and self-hosted models (Ollama).

6.71k repo starsObserved in 1 repos
Development