以下为本文档的中文说明该技能为Claude Code插件中的代理开发提供全面指导涵盖代理结构设计、触发条件配置、系统提示词编写等关键方面。主要功能是帮助开发者创建自主化的子代理使其能够独立处理复杂的多步骤任务。使用场景包括当用户需要创建代理、“添加代理”、编写子代理时提供模板和最佳实践指导如何设置代理的触发条件、工具权限和运行模型以及如何设计有效的系统提示词来描述代理行为。核心原则包括代理Agent用于自主工作命令Command用于用户发起的操作——两者有明确的职责区分Markdown文件格式配合YAML前置元数据定义代理结构通过描述字段中的示例来定义触发条件系统提示词决定代理的行为模式和边界。该技能还涵盖模型选择、颜色定制和工具配置等内容帮助开发者构建功能强大、行为可控的自主代理。Agent Development for Claude Code PluginsOverviewAgents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonomous capabilities.Key concepts:Agents are FOR autonomous work, commands are FOR user-initiated actionsMarkdown file format with YAML frontmatterTriggering via description field with examplesSystem prompt defines agent behaviorModel and color customizationAgent File StructureComplete Format--- name: agent-identifier description: Use this agent when [triggering conditions]. Examples: example Context: [Situation description] user: [User request] assistant: [How assistant should respond and use this agent] commentary [Why this agent should be triggered] /commentary /example example [Additional example...] /example model: inherit color: blue tools: [Read, Write, Grep] --- You are [agent role description]... **Your Core Responsibilities:** 1. [Responsibility 1] 2. [Responsibility 2] **Analysis Process:** [Step-by-step workflow] **Output Format:** [What to return]Frontmatter Fieldsname (required)Agent identifier used for namespacing and invocation.Format:lowercase, numbers, hyphens onlyLength:3-50 charactersPattern:Must start and end with alphanumericGood examples:code-reviewertest-generatorapi-docs-writersecurity-analyzerBad examples:helper(too generic)-agent-(starts/ends with hyphen)my_agent(underscores not allowed)ag(too short, 3 chars)description (required)Defines when Claude should trigger this agent.This is the most critical field.Must include:Triggering conditions (“Use this agent when…”)Multipleexampleblocks showing usageContext, user request, and assistant response in each examplecommentaryexplaining why agent triggersFormat:Use this agent when [conditions]. Examples: example Context: [Scenario description] user: [What user says] assistant: [How Claude should respond] commentary [Why this agent is appropriate] /commentary /example [More examples...]Best practices:Include 2-4 concrete examplesShow proactive and reactive triggeringCover different phrasings of same intentExplain reasoning in commentaryBe specific about when NOT to use the agentmodel (required)Which model the agent should use.Options:inherit- Use same model as parent (recommended)sonnet- Claude Sonnet (balanced)opus- Claude Opus (most capable, expensive)haiku- Claude Haiku (fast, cheap)Recommendation:Useinheritunless agent needs specific model capabilities.color (required)Visual identifier for agent in UI.Options:blue,cyan,green,yellow,magenta,redGuidelines:Choose distinct colors for different agents in same pluginUse consistent colors for similar agent typesBlue/cyan: Analysis, reviewGreen: Success-oriented tasksYellow: Caution, validationRed: Critical, securityMagenta: Creative, generationtools (optional)Restrict agent to specific tools.Format:Array of tool namestools:[Read,Write,Grep,Bash]Default:If omitted, agent has access to all toolsBest practice:Limit tools to minimum needed (principle of least privilege)Common tool sets:Read-only analysis:[Read, Grep, Glob]Code generation:[Read, Write, Grep]Testing:[Read, Bash, Grep]Full access: Omit field or use[*]System Prompt DesignThe markdown body becomes the agent’s system prompt. Write in second person, addressing the agent directly.StructureStandard template:You are [role] specializing in [domain]. **Your Core Responsibilities:** 1. [Primary responsibility] 2. [Secondary responsibility] 3. [Additional responsibilities...] **Analysis Process:** 1. [S tep one] 2. [Step two] 3. [Step three] [...] **Quality Standards:** - [Standard 1] - [Standard 2] **Output Format:** Provide results in this format: - [What to include] - [How to structure] **Edge Cases:** Handle these situations: - [Edge case 1]: [How to handle] - [Edge case 2]: [How to handle]Best Practices✅DO:Write in second person (“You are…”, “You will…”)Be specific about responsibilitiesProvide step-by-step processDefine output formatInclude quality standardsAddress edge casesKeep under 10,000 characters❌DON’T:Write in first person (“I am…”, “I will…”)Be vague or genericOmit process stepsLeave output format undefinedSkip quality guidanceIgnore error casesCreating AgentsMethod 1: AI-Assisted GenerationUse this prompt pattern (extracted from Claude Code):Create an agent configuration based on this request: [YOUR DESCRIPTION] Requirements: 1. Extract core intent and responsibilities 2. Design expert persona for the domain 3. Create comprehensive system prompt with: - Clear behavioral boundaries - Specific methodologies - Edge case handling - Output format 4. Create identifier (lowercase, hyphens, 3-50 chars) 5. Write description with triggering conditions 6. Include 2-3 example blocks showing when to use Return JSON with: { identifier: agent-name, whenToUse: Use this agent when... Examples: example.../example, systemPrompt: You are... }Then convert to agent file format with frontmatter.Seeexamples/agent-creation-prompt.mdfor complete template.Method 2: Manual CreationChoose agent identifier (3-50 chars, lowercase, hyphens)Write description with examplesSelect model (usuallyinherit)Choose color for visual identificationDefine tools (if restricting access)Write system prompt with structure aboveSave asagents/agent-name.mdValidation RulesIdentifier Validation✅ Valid: code-reviewer, test-gen, api-analyzer-v2 ❌ Invalid: ag (too short), -start (starts with hyphen), my_agent (underscore)Rules:3-50 charactersLowercase letters, numbers, hyphens onlyMust start and end with alphanumericNo underscores, spaces, or special charactersDescription ValidationLength:10-5,000 charactersMust include:Triggering conditions and examplesBest:200-1,000 characters with 2-4 examplesSystem Prompt ValidationLength:20-10,000 charactersBest:500-3,000 charactersStructure:Clear responsibilities, process, output formatAgent OrganizationPlugin Agents Directoryplugin-name/ └── agents/ ├── analyzer.md ├── reviewer.md └── generator.mdAll.mdfiles inagents/are auto-discovered.NamespacingAgents are namespaced automatically:Single plugin:agent-nameWith subdirectories:plugin:subdir:agent-nameTesting AgentsTest TriggeringCreate test scenarios to verify agent triggers correctly:Write agent with specific triggering examplesUse similar phrasing to examples in testCheck Claude loads the agentVerify agent provides expected functionalityTest System PromptEnsure system prompt is complete:Give agent typical taskCheck it follows process stepsVerify output format is correctTest edge cases mentioned in promptConfirm quality standards are metQuick ReferenceMinimal Agent--- name: simple-agent description: Use this agent when... Examples: example.../example model: inherit color: blue --- You are an agent that [does X]. Process: 1. [Step 1] 2. [Step 2] Output: [What to provide]Frontmatter Fields SummaryFieldRequiredFormatExamplenameYeslowercase-hyphenscode-reviewerdescriptionYesText examplesUse when… …modelYesinherit/sonnet/opus/haikuinheritcolorYesColor namebluetoolsNoArray of toolnames[“Read”, “Grep”]Best PracticesDO:✅ Include 2-4 concrete examples in description✅ Write specific triggering conditions✅ Useinheritfor model unless specific need✅ Choose appropriate tools (least privilege)✅ Write clear, structured system prompts✅ Test agent triggering thoroughlyDON’T:❌ Use generic descriptions without examples❌ Omit triggering conditions❌ Give all agents same color❌ Grant unnecessary tool access❌ Write vague system prompts❌ Skip testingAdditional ResourcesReference FilesFor detailed guidance, consult:references/system-prompt-design.md- Complete system prompt patternsreferences/triggering-examples.md- Example formats and best practicesreferences/agent-creation-system-prompt.md- The exact prompt from Claude CodeExample FilesWorking examples inexamples/:agent-creation-prompt.md- AI-assisted agent generation templatecomplete-agent-examples.md- Full agent examples for different use casesUtility ScriptsDevelopment tools inscripts/:validate-agent.sh- Validate agent file structuretest-agent-trigger.sh- Test if agent triggers correctlyImplementation WorkflowTo create an agent for a plugin:Define agent purpose and triggering conditionsChoose creation method (AI-assisted or manual)Createagents/agent-name.mdfileWrite frontmatter with all required fieldsWrite system prompt following best practicesInclude 2-4 triggering examples in descriptionValidate withscripts/validate-agent.shTest triggering with real scenariosDocument agent in plugin READMEFocus on clear triggering conditions and comprehensive system prompts for autonomous operation.3c:[“,,,L3f”,null,{“content”:“$40”,“frontMatter”:{“name”:“Agent Development”,“description”:“This skill should be used when the user asks to \“create an agent\”, \“add an agent\”, \“write a subagent\”, \“agent frontmatter\”, \“when to use description\”, \“agent examples\”, \“agent tools\”, \“agent colors\”, \“autonomous agent\”, or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.”,“version”:“0.1.0”}}]3d:[“KaTeX parse error: Expected }, got EOF at end of input: …,children:[[”,“div”,null,{“className”:“flex items-center justify-between border-b border-border bg-muted/30 px-4 py-2.5”,“children”:[[“KaTeX parse error: Expected }, got EOF at end of input: …,children:[”,“span”,null,{“className”:“truncate text-xs font-medium text-muted-foreground”,“children”:“同仓库更多 Skills”}]}],[“KaTeX parse error: Expected EOF, got } at position 88: …ldren:同仓库}]]}̲],[”,“div”,null,{“className”:“p-4 sm:p-5”,“children”:[[“,h2,null,id:related−skills−heading,className:text−2xlfont−semiboldtracking−normaltext−foreground,children:同仓库更多Skills],[,h2,null,{id:related-skills-heading,className:text-2xl font-semibold tracking-normal text-foreground,children:同仓库更多 Skills}],[,h2,null,id:related−skills−heading,className:text−2xlfont−semiboldtracking−normaltext−foreground,children:同仓库更多Skills],[”,“div”,null,{“className”:“mt-4 grid gap-3 sm:grid-cols-2”,“children”:[“L41,L41,L41,L42”,“L43,L43,L43,L44”,“L45,L45,L45,L46”]}]]}]]}]47:I[206516,[“/_next/static/chunks/051aanbhrv4br.js”,“/_next/static/chunks/0mizr60h7ayzt.js”,“/_next/static/chunks/0v9lm1dmbdoo-.js”,“/_next/static/chunks/0rxr1j1j3j-.r.js”,“/_next/static/chunks/02ftybezfvqjd.js”,“/_next/static/chunks/0.v9ksvnnj8ia.js”,“/_next/static/chunks/0bn6id96nx3k.js,“/_next/static/chunks/13ybnhn37c.tc.js”,“/_next/static/chunks/0_fnrdtruz8uf.js”,“/_next/static/chunks/0r6l15utt1mwb.js”,“/_next/static/chunks/0dm9a5into854.js”,/_next/static/chunks/07k6hqoibtcn.js”,“/next/static/chunks/0b4cao.4y…j.js”,“/_next/static/chunks/02i-n28z7kjd0.js”],“default”]
