Agent设计
- 作者仓库星标 0
- 作者更新于 实时读取
- 作者仓库 skills-registry
- 领域
- 设计与多媒体
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @tomevault-io · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 需简单配置
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: agent-design-best-practices
description: Best practices for designing Claude Code agent files (.claude/agents/*.md). This skill should be…
category: 设计与多媒体
runtime: 无特殊运行时
---
# agent-design-best-practices 输出预览
## PART A: 任务判断
- 适用问题:视觉内容、演示材料、信息图或设计交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Overview / Principles / 1. Define Capabilities, Not Lifecycle”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于视觉内容、演示材料、信息图或设计交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Overview / Principles / 1. Define Capabilities, Not Lifecycle”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令。
先用一个小任务确认它会围绕“Overview / Principles / 1. Define Capabilities, Not Lifecycle”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: agent-design-best-practices
description: Best practices for designing Claude Code agent files (.claude/agents/*.md). This skill should be…
category: 设计与多媒体
source: tomevault-io/skills-registry
---
# agent-design-best-practices
## 什么时候使用
- 用于审阅代码、文档或方案并给出可执行反馈 适合处理界面、视觉、封面、信息图或演示材料交付,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外 A…
- 面向视觉内容、演示材料、信息图或设计交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Overview / Principles / 1. Define Capabilities, Not Lifecycle」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "agent-design-best-practices" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Overview / Principles / 1. Define Capabilities, Not Lifecycle
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件、执行终端命令 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Agent Design Best Practices
Overview
This skill defines best practices for designing Claude Code agent files (.claude/agents/*.md). Agent files define reusable roles that can be spawned as subagents or teammates. The core principle is that agent files define capabilities, not lifecycle -- the team lead's spawn prompt controls when and how the agent runs.
Principles
1. Define Capabilities, Not Lifecycle
Agent files describe what an agent can do. The spawn prompt from the team lead controls when it runs and what to focus on.
<!-- Wrong: Hardcodes workflow phase and interaction pattern -->
# Security Planner Agent
You are a security specialist in a plan-create Agent Team.
Given a Research Brief from the team lead, identify security
considerations for the planned changes.
## Output Format
Send your sub-plan to the team lead via `SendMessage` with this structure:
...
<!-- Correct: Defines domain expertise, team lead controls usage -->
# Security Specialist Agent
You are a security specialist who identifies vulnerabilities,
evaluates threats, and recommends mitigations for code changes.
## Analysis Process
1. Read affected files
2. STRIDE analysis
3. Check input validation
...
The wrong version is coupled to one workflow ("plan-create Agent Team", "Given a Research Brief", "Send via SendMessage"). The correct version works in any context -- planning, review, ad-hoc analysis -- because the team lead's spawn prompt provides the specific instructions.
2. One Agent Per Domain, Not Per Phase
Prefer a single agent that covers a domain over multiple agents split by workflow phase. The team lead specializes the agent per phase via the spawn prompt.
| Wrong | Right |
|---|---|
security-planner + security-reviewer |
security-specialist |
test-strategist + test-coverage-agent |
test-specialist |
architecture-planner + architecture-reviewer |
architecture-specialist |
The same agent type can be spawned multiple times with different prompts for different phases. A security-specialist spawned during planning gets "evaluate this plan for security risks" while the same type spawned during review gets "review these code changes for vulnerabilities."
3. Design Focused Domains
Each agent should excel at one specific domain. The domain should be broad enough to avoid workflow coupling but narrow enough to provide real expertise.
# Too narrow (coupled to one workflow step)
description: Performs STRIDE analysis on Research Briefs during plan-create Phase 2
# Too broad (no clear expertise)
description: General-purpose agent that can do anything
# Just right (focused domain, reusable across workflows)
description: Security specialist. Performs threat modeling (STRIDE), reviews code for OWASP Top 10 vulnerabilities, checks auth/validation/secrets handling.
4. Write Detailed Descriptions
Claude uses the description field in YAML frontmatter to decide when to delegate tasks. Be specific about what the agent does and when it adds value.
# Bad: Vague, Claude can't decide when to use it
description: Reviews code
# Good: Specific domain, clear trigger conditions
description: Security specialist. Performs threat modeling (STRIDE), reviews code for OWASP Top 10 vulnerabilities, checks auth/validation/secrets handling, and recommends mitigations.
5. Limit Tool Access
Grant only the tools necessary for the agent's domain. This enforces focus and prevents agents from exceeding their intended scope.
| Agent Type | Appropriate Tools | Rationale |
|---|---|---|
| Researcher / Reviewer | Read, Grep, Glob, Bash |
Read-only analysis, no file modifications |
| Implementer | Read, Write, Edit, Bash, Grep, Glob |
Needs to modify code |
| Planner | Read, Grep, Glob |
Research only, no execution |
Read-only agents cannot implement code. Do not assign implementation tasks to agents without Write and Edit tools.
6. No Hardcoded Interaction Patterns
Do not prescribe how the agent communicates or what input format it expects. The team lead's spawn prompt handles interaction patterns.
<!-- Wrong: Hardcodes communication protocol -->
## Input
You receive a **Research Brief** from the team lead containing...
## Output Format
Send your sub-plan to the team lead via `SendMessage` with this structure:
<!-- Correct: Defines output structure without prescribing delivery mechanism -->
## Output Format
Structure your findings as:
### Threat Model (STRIDE)
| Threat | Applies? | Description | Mitigation |
...
The output format itself is fine to define -- it provides structure. But how the agent receives input and delivers output should be left to the team lead.
7. Context Window Isolation
Each teammate has its own context window. Teammates do not share context and cannot see what other teammates have done. Account for this in agent design:
- Do not assume the agent has seen previous analysis from other agents
- Include enough domain knowledge in the agent file for independent operation
- The team lead bridges context between agents via spawn prompts and messages
8. File Ownership in Teams
When agents work in teams, each teammate should own distinct files or directories. Two teammates editing the same file leads to conflicts and lost work.
Design agent domains so their file ownership naturally separates:
| Agent | Owns |
|---|---|
implementer |
Source files (src/) |
test-specialist |
Test files (tests/) |
quality-specialist |
No files (read-only) |
Agent File Structure
Required Frontmatter
---
name: agent-name # lowercase with hyphens
description: When and why to use this agent. Be specific.
tools: Read, Grep, Glob # comma-separated, minimal set
---
Optional Frontmatter
model: sonnet # sonnet, opus, haiku, or inherit (default)
permissionMode: default # default, acceptEdits, plan, bypassPermissions, etc.
maxTurns: 50 # limit agentic turns
skills: # skills to preload
- skill-name
memory: user # persistent memory: user, project, or local
Body Structure
The markdown body becomes the agent's system prompt. Structure it as:
- Role statement -- one sentence describing what the agent is
- Analysis/workflow process -- numbered steps for the agent's approach
- Output format -- structure for findings (without prescribing delivery mechanism)
- Rules/constraints -- guardrails for the agent's behavior
Anti-Patterns
Don't Create Phase-Specific Agents
<!-- Wrong: Two agents for the same domain, split by phase -->
# Pre-Implementation Security Planner
...
# Post-Implementation Security Reviewer
...
<!-- Correct: One agent, team lead controls timing -->
# Security Specialist
...
Don't Hardcode Workflow Dependencies
<!-- Wrong: Agent assumes specific workflow context -->
You are part of the plan-create Phase 2 team.
Wait for the Research Brief from Phase 1.
After your analysis, the Consistency Checker will validate your output.
<!-- Correct: Agent is self-contained -->
You are a security specialist who identifies vulnerabilities
and recommends mitigations for code changes.
Don't Over-Specify the Model
Only set model when there's a clear reason. Most agents work well with inherit (the default), which uses the same model as the parent session. Use haiku for fast, simple tasks (exploration, search). Use sonnet or opus only when the domain requires stronger reasoning.
Verification Checklist
Before committing an agent file, verify:
- Description is specific -- Claude can determine when to delegate from the description alone
- Tools are minimal -- only the tools the agent actually needs
- No workflow coupling -- no references to specific team structures, phases, or input formats
- No hardcoded communication -- no "send via SendMessage" or "given a Research Brief"
- Domain is reusable -- the agent works in planning, review, and ad-hoc contexts
- Role statement is clear -- first line of body explains what the agent is
- Output format is defined -- structured output without prescribing delivery
Source: CodySwannGT/lisa — distributed by TomeVault.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核