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Found 256 Skills
**THEMING & APPEARANCE GUIDE** — Assist with Syncfusion ASP.NET Core EJ2 component theming, customization, size modes, and dynamic theme switching. Use when: applying themes (Bootstrap, Material, Tailwind, Fluent, etc.), customizing theme variables, implementing theme switchers, enabling touch mode, or customizing icons and appearance.
Use when adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring, provider setup, and first working chat integration.
AI Agent Harness Design Patterns - Memory, Permission, Context Engineering, Delegation, Skill, Hook, Bootstrap. Chinese Version.
Design-driven development methodology. The design/ directory is the single source of architectural truth — read it before coding, stay within its boundaries, and when the system's shape needs to change, update the design first. Use this skill whenever starting any development work on this project. Also use when the user asks to: create or update architecture docs, add a new module or feature that might cross existing boundaries, refactor system structure, or understand the codebase architecture. Trigger on phrases like "design first", "update the design", "does this change the architecture", "write a design for", "what's the current design", or when onboarding to understand a codebase's shape. Supports arguments: `/design-driven init` to configure a project for design-driven development, `/design-driven bootstrap` to generate design from an existing codebase.
Understand Steedos Server (builder6/server) architecture. NestJS 11 + Moleculer 0.14 hybrid backend with Express middleware, Socket.IO real-time, Redis sessions/caching, and ObjectQL data access. Covers module organization, bootstrap sequence, middleware stack, guards, dependency injection, and builder6 package ecosystem (@builder6/core, moleculer, tables, files, rooms, pages, oidc, etc.).
Starting point for any new application built with the SGDS web component library. Apply this skill first whenever a user is bootstrapping a new SGDS project, setting up a new app, or asking where to begin with SGDS. Covers font setup, foundation CSS, utilities, components, and app layout in the correct order.
Bootstrap a nao agent for a project — gather warehouse + scope + extra-context info in one round, look up the warehouse-specific config from nao docs, write nao_config.yaml, run nao init + nao sync, set up the LLM key, and generate the first RULES.md. Use when the user has just decided to use nao on a new project. Only for first-time setup; for editing rules, generating tests, or reviewing an existing context, use write-context-rules / create-context-tests / audit-context.
Initialize, inspect, and maintain a hierarchical memory system for an ML research project across paper, code, worktrees, slides, reviewer simulation, rebuttal, experiments, claims, evidence, risks, and actions. Use this skill whenever the user wants cross-session project memory, project bootstrapping context, feedback-loop tracking, claim-evidence-risk-action alignment, worktree memory, or consistency between code results, paper writing, slides, reviews, and rebuttal.
Use this as the main Claude Scholar skill for a vault-first, project-scoped Obsidian research knowledge base rooted at Research/{project-slug}/. It owns bootstrap, routing, daily logging, hub/plan/index maintenance, registry updates, lifecycle actions, and lint orchestration.
Onboard a user to Wren Engine end-to-end. Walks through environment checks, project scaffolding, connection configuration via .env, and first query. Use when: user wants to install Wren Engine, set up a new data source connection, or bootstrap a new project from scratch. Triggers: '/wren-onboarding', 'install wren', 'set up wren engine', 'wren onboarding', 'connect new database to wren'.
Initialize the OGT docs-first folder structure in a new project. Use when setting up a new project, migrating to docs-first workflow, or bootstrapping documentation structure.
Fine-tune models on your data to maximize quality and cut costs. Use when prompt optimization hit a ceiling, you need domain specialization, you want cheaper models to match expensive ones, you heard "fine-tuning will make us AI-native", you have 500+ training examples, or you need to train on proprietary data. Covers DSPy BootstrapFinetune, BetterTogether, model distillation, and when to fine-tune vs optimize prompts.