HaoNgo232/agent-bridge-kit - Seite 2

skillify

Turn repetitive patterns into reusable skills. If you've done it three times, it should be a skill.

Quellsprache: Englisch

verify-changes

"Code that exists" ≠ "Code that works." This skill ensures changes are verified through execution.

Quellsprache: Englisch

verify

Verify code changes work by running them. Proves through execution, not just inspection.

Quellsprache: Englisch

api-patterns

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

Quellsprache: Englisch

app-builder

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Quellsprache: Englisch

architecture

Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

Quellsprache: Englisch

bash-linux

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Quellsprache: Englisch

batch-operations

Apply operations across multiple files simultaneously. Pattern-based bulk modifications, search-and-replace across codebases, consistent changes to many files at once.

Quellsprache: Englisch

behavioral-modes

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Quellsprache: Englisch

brainstorming

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

Quellsprache: Englisch

clean-code

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Quellsprache: Englisch

code-review-checklist

Code review guidelines covering code quality, security, and best practices.

Quellsprache: Englisch

code-review-graph

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.

Quellsprache: Englisch

context-compression

Manage and compress conversation context in long sessions. Detect when context is growing large, summarize completed work phases, archive old findings while preserving key decisions. Prevents context degradation.

Quellsprache: Englisch

coordinator-mode

Advanced multi-agent orchestration with parallel workers, synthesis protocols, and coordinator lifecycle. Use when complex tasks require multiple agents working in parallel with intelligent result synthesis.

Quellsprache: Englisch

database-design

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Quellsprache: Englisch

deployment-procedures

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Quellsprache: Englisch

documentation-templates

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

Quellsprache: Englisch

frontend-design

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.

Quellsprache: Englisch

game-development

Game development orchestrator. Routes to platform-specific skills based on project needs.

Quellsprache: Englisch

geo-fundamentals

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Quellsprache: Englisch

i18n-localization

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

Quellsprache: Englisch

intelligent-routing

Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.

Quellsprache: Englisch

lint-and-validate

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis.

Quellsprache: Englisch

mcp-builder

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

Quellsprache: Englisch

memory-system

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.

Quellsprache: Englisch

mobile-design

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.

Quellsprache: Englisch

react-best-practices

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…

Quellsprache: Englisch

nodejs-best-practices

Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.

Quellsprache: Englisch

parallel-agents

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

Quellsprache: Englisch

performance-profiling

Performance profiling principles. Measurement, analysis, and optimization techniques.

Quellsprache: Englisch

plan-writing

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

Quellsprache: Englisch

powershell-windows

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

Quellsprache: Englisch

python-patterns

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

Quellsprache: Englisch

red-team-tactics

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Quellsprache: Englisch

rust-pro

Master Rust 1.75+ with modern async patterns, advanced type system

Quellsprache: Englisch

seo-fundamentals

SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.

Quellsprache: Englisch

server-management

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

Quellsprache: Englisch

simplify-code

Reduce complexity of over-engineered code. Identify unnecessary abstractions, remove dead code, flatten deep nesting, and simplify logic while preserving behavior.

Quellsprache: Englisch

skillify

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.

Quellsprache: Englisch