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Agent Skills

Agent Skills is a structured framework designed to package senior engineering workflows into reusable skills for AI coding agents^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]. Rather than focusing solely on generating code, the framework emphasizes enforcing a rigorous engineering process—often described as "correct workflow over better code"^-[001-TODO__Agent_Skills-结构化AI编码工作流框架.md]. It addresses a common failure mode in AI development where agents tend to skip critical, albeit tedious, engineering steps in favor of immediate implementation^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

The framework decomposes the software development lifecycle into distinct phases, ensuring that tasks such as specification clarification, planning, testing, and code review are treated as mandatory checkpoints rather than optional steps^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]. It is officially maintained as a repository of prompts and workflows, compatible with major AI coding tools like [[Claude Code]] and Cursor^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

Lifecycle and Workflow

Agent Skills structures the development process into a linear lifecycle with specific commands for each stage^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].

  • Specification (/spec): Focuses on refining ideas and defining clear specifications before any code is written. This phase aims to prevent ambiguity in requirements^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Planning (/plan): Involves breaking down tasks into manageable components, prioritizing them, and establishing the order of operations^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Implementation (/build): Advocates for incremental implementation where features are built in small slices rather than as a monolithic block^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Verification (/test): Enforces a Test-Driven Development (TDD) approach where testing acts as proof of correctness, rather than an afterthought^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Quality Assurance (/review): Establishes code review as a quality gate to catch maintainability issues and ensure standards are met^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Simplification (/code-simplify): A dedicated step to remove unnecessary complexity and prefer simpler solutions over elaborate ones^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Deployment (/ship): Covers the final steps of CI/CD, documentation, and release checks^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].

Specialist Personas

To simulate a comprehensive engineering team, the framework introduces specialist sub-agents that operate in parallel or sequentially to handle specific domains^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].

  • Code Reviewer: Focuses on maintainability, catching issues related to code style, complexity, and readability^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Test Engineer: Concentrates on test coverage, identifying missing use cases, weak validation logic, and edge cases^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].
  • Security Auditor: Examines the code for security vulnerabilities, such as injection flaws, permission issues, and sensitive data exposure^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].

The underlying philosophy is that distinct agents performing specialized roles yield better results than a single agent attempting to juggle all responsibilities simultaneously^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md].

Implementation Strategy

The framework discourages loading all instructions and prompts at once, which can overwhelm an AI model's context window^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]. Instead, it recommends a progressive strategy where behaviors are loaded according to the current phase of the lifecycle^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

Core Workflow

The baseline workflow enforces three essential rules that should remain active throughout the development cycle^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]: 1. Spec-Driven Development: No code is written until the specification is clearly defined. 2. TDD: Tests are written alongside or before code to serve as verification. 3. Code Review: No merge is complete without a formal review process^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

Contextual Adaptation

The framework allows for "on-demand" skills to be loaded based on the specific domain of the project^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]: * Front-end Engineering: Activated for UI-focused tasks. * API Design: Loaded for backend interface definitions. * Security & Hardening: Essential for production systems. * Performance Optimization: Used for performance-sensitive applications^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

Integration and Adaptation

Agent Skills is tool-agnostic at its core, relying on Markdown-based workflows that can be interpreted by any AI agent capable of reading instructions^[001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md]. However, it provides specific patterns for adapting to advanced AI environments.

For example, in tools like "Verdent," the framework maps to a hierarchy of rules and parallel workspaces^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]: * Global Rules: defined in configuration files to enforce core behaviors (e.g., spec before code) across all projects^[001-TODO__Agent_Skills-结构化AI编码工作流框架.md]. * Project Rules: Override or extend global defaults for specific project needs^[001-TODO__Agent_Skills-结构化AI编码工作流框架.md]. * Parallel Workspaces: Utilizes isolation (like Git Worktrees) to allow implementation, testing, and review to occur simultaneously without interference^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

Core Philosophy

The framework operates on the premise that workflow quality is as critical as model quality^[001-TODO__Agent_Skills_-结构化AI编码工作流框架.md]. While a strong AI model can generate syntactically correct code, it often lacks the discipline to manage a complex engineering lifecycle without external constraints^[001-TODO__Agent_Skills-结构化AI编码工作流框架.md]. By encoding the judgment and caution of a senior engineer into a structured process, Agent Skills aims to elevate the reliability and robustness of AI-assisted software development^[001-TODO__Agent_Skills-_结构化AI编码工作流框架.md].

Sources

  • 001-TODO__Agent_Skills_-_结构化AI编码工作流框架.md