Turn repetitive patterns into reusable skills. If you've done it three times, it should be a skill.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は HaoNgo232/agent-bridge-kit から 122 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
HaoNgo232/agent-bridge-kit収集済み skill 122 件中 40 件を表示しています。
Turn repetitive patterns into reusable skills. If you've done it three times, it should be a skill.
原文の言語: 英語
"Code that exists" ≠ "Code that works." This skill ensures changes are verified through execution.
原文の言語: 英語
Verify code changes work by running them. Proves through execution, not just inspection.
原文の言語: 英語
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
原文の言語: 英語
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
原文の言語: 英語
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
原文の言語: 英語
Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
原文の言語: 英語
Apply operations across multiple files simultaneously. Pattern-based bulk modifications, search-and-replace across codebases, consistent changes to many files at once.
原文の言語: 英語
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
原文の言語: 英語
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
原文の言語: 英語
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
原文の言語: 英語
Code review guidelines covering code quality, security, and best practices.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
原文の言語: 英語
Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
原文の言語: 英語
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
原文の言語: 英語
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.
原文の言語: 英語
Game development orchestrator. Routes to platform-specific skills based on project needs.
原文の言語: 英語
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
原文の言語: 英語
Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
原文の言語: 英語
Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.
原文の言語: 英語
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.
原文の言語: 英語
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.
原文の言語: 英語
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
原文の言語: 英語
Performance profiling principles. Measurement, analysis, and optimization techniques.
原文の言語: 英語
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
原文の言語: 英語
PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.
原文の言語: 英語
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
原文の言語: 英語
Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.
原文の言語: 英語
Master Rust 1.75+ with modern async patterns, advanced type system
原文の言語: 英語
SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.
原文の言語: 英語
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
原文の言語: 英語
Reduce complexity of over-engineered code. Identify unnecessary abstractions, remove dead code, flatten deep nesting, and simplify logic while preserving behavior.
原文の言語: 英語
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.
原文の言語: 英語