API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
HaoNgo232/agent-bridge-kit
SkillsMP has collected 122 skills from HaoNgo232/agent-bridge-kit. Open a skill to review its source and details.
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Skills in this repository
Showing 40 of 122 collected skills.
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
Code review guidelines covering code quality, security, and best practices.
Token-efficient code review using Tree-sitter AST graphs and MCP. Reduces AI assistant token usage by 6.8–49x by computing blast radius of changes instead of reading entire codebases. Uses SQLite graph database for structural analysis.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
Design thinking and decision-making for web UI. Use when designing components, layouts, color schemes, typography, or creating aesthetic interfaces. Teaches principles, not fixed values.
Game development orchestrator. Routes to platform-specific skills based on project needs.
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.
Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.
React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side…
Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
Master Rust 1.75+ with modern async patterns, advanced type system
SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.
Auto-create new skills from repetitive workflows. When you notice yourself doing the same multi-step process repeatedly, extract it into a reusable SKILL.md that any agent can use.
Tailwind CSS v4 principles. CSS-first configuration, container queries, modern patterns, design token architecture.
Testing patterns and principles. Unit, integration, mocking strategies.
Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
Analyzes user's requests, determines tech stack, plans structure, and coordinates agents.
Apply consistent changes across many files at once. One pattern, many targets.
**MANDATORY:** Use for complex/vague requests, new features, updates.
Reduce AI token usage by **6.8x average** (up to **49x** on monorepos) by giving the AI a structural map of your codebase instead of letting it read everything.
Keep sessions productive by compressing completed work while preserving key decisions.
Advanced multi-agent coordination with parallel dispatch and synthesis. Use for complex tasks requiring multiple specialist perspectives.
Distilled from production-proven coordinator patterns. Transforms sequential agent chains into intelligent parallel orchestration.
**Philosophy:** Every pixel has purpose. Restraint is luxury. User psychology drives decisions.
Enables agents to remember across sessions. Never re-discover what was already learned.
Coordinate multiple agents for complex tasks. Use for multi-perspective analysis, comprehensive reviews, or tasks requiring different domain expertise.
Orchestration through AG Kit's built-in Agent Tool
Create project plan using project-planner agent. No code writing - only plan file generation.
Save information to persistent memory for cross-session recall. Stores preferences, conventions, decisions, and context.
The best code is the code you don't have to write. The second best is the code anyone can read.