agents-build — скилл для Claude Code: расширяет проект агента
Добавляет к готовому проекту агента память, VPC, мультиагентную схему, Browser, Code Interpreter и платежи. Нужен, когда проект уже работает и его надо достроить.
npx skills add aws/agent-toolkit-for-aws --skill agents-build -a claude-codeЧто делает agents-build
Скилл читает agentcore/agentcore.json, определяет по вашему запросу нужное направление и подгружает соответствующий файл-инструкцию из references/. Дальше идёт по его шагам. Если файла проекта нет, скилл поищет его в родительских каталогах на три уровня вверх и спросит, не в том ли вы каталоге. Не найдёт нигде — предложит сначала создать проект.
Внутри разбор по возможностям: память между сессиями, вызов агента из приложения, VPC для приватных ресурсов вроде RDS, оркестратор со специалистами, миграция с Bedrock Agent, Browser, Code Interpreter, платежи через x402 и MPP, удаление ресурсов. Смена модели делается прямо в скилле: правится model_id в BedrockModel() внутри app/<AgentName>/model/load.py. Префикс профиля (us., eu., apac., global.) задаёт регион инференса.
Перед первым запуском проверьте версию CLI: нужна agentcore 0.9.0 или новее, иначе скилл попросит выполнить agentcore update. Это не тот инструмент, чтобы чинить сломанное: ошибки, неверные ответы и падения инструментов уходят в agents-debug, а подключение внешних API через Gateway — в agents-connect.
Какие задачи решает
- включить память агента между сессиями
- вызвать развёрнутого агента из React-приложения
- настроить VPC, чтобы агент видел RDS и внутренние API
- собрать оркестратор со специалистами и делегированием
- перенести существующий Bedrock Agent на AgentCore
Примеры запросов агенту
- добавь агенту память, чтобы он помнил предпочтения пользователя
- настрой VPC, агент не достаёт до внутреннего API
- переключи модель на Haiku, чтобы сэкономить
Как установить agents-build
1Через Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill agents-build -a claude-code2Вручную: положить файлы
~/.claude/skills/agents-build/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/agents-build/
1Через Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill agents-build -a codex2Вручную: положить файлы
.agents/skills/agents-build/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill agents-build -a cursor2Вручную: положить файлы
.cursor/skills/agents-build/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install aws/agent-toolkit-for-aws agents-build2Вручную: положить файлы
.github/skills/agents-build/SKILL.md1Через Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill agents-build -a gemini-cli2Командой платформы
gemini skills install https://github.com/aws/agent-toolkit-for-aws --path plugins/aws-agents/skills/agents-buildВручную: положить файлы
.devin/skills/agents-build/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill agents-build -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о agents-build
Как установить agents-build в Claude?
Выполните npx skills add aws/agent-toolkit-for-aws --skill agents-build -a claude-code. Скилл встанет в ~/.claude/skills/agents-build/SKILL.md.
Что делает agents-build?
Достраивает уже существующий проект агента: память, интеграция с приложением, VPC, мультиагентная схема, миграция, Browser, Code Interpreter, платежи и удаление ресурсов. По запросу подгружает нужную инструкцию из references/ и ведёт по её шагам.
Чем agents-build отличается от agents-connect и agents-debug?
agents-build добавляет новые возможности в рабочий проект. Подключение внешних API и MCP-серверов через Gateway — это agents-connect, а ошибки CLI и dev-сервера — agents-debug.
Исходный текст
SKILL.md · Apache-2.0
--- name: agents-build description: > Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here. allowed-tools: Read Grep Glob Bash metadata: type: skill version: "1.0.0" author: aws-agentcore requires-cli: ">=0.9.0" --- # build Add capabilities to your AgentCore agent project. ## When to use - Adding cross-session memory to your agent - Calling your deployed agent from a web app, mobile app, or backend service - Configuring VPC networking for private resources (RDS, internal APIs) - Building multi-agent systems with orchestrator/specialist patterns - Migrating an existing Bedrock Agent to AgentCore - Adding the Browser tool so the agent can navigate websites - Adding the Code Interpreter so the agent can execute code in a sandbox - Adding AgentCore Payments so the agent can pay for x402- or MPP-protected APIs, tools, or content - Removing resources from your project or tearing down a deployment Do NOT use for: - Connecting to external tools/APIs via Gateway (OpenAPI specs, Lambda, MCP servers, credentials, policies) → use `agents-connect` - Scaffolding a new project → use `agents-get-started` - Deploying → use `agents-deploy` ## Input `$ARGUMENTS` can be: - A capability: "memory", "integrate", "vpc", "multi-agent", "migrate", "browser", "code-interpreter", "payments", "teardown" - A description of what they want: "remember user preferences", "call from React app", "scrape a website", "run pandas in the agent", "delete my agent", "clean up resources" - Empty — the skill will determine the workflow from context ## Process ### Step 0: Verify CLI version Run `agentcore --version`. This skill requires v0.9.0 or later. If older: "Run `agentcore update` to get the latest version." ### Step 1: Read project context Read `agentcore/agentcore.json` to understand the current project — framework, existing resources, agent configuration. If `agentcore/agentcore.json` is not found: 1. **Check if the developer is in the wrong directory.** Look for `agentcore/agentcore.json` in parent directories (up to 3 levels). If found, tell them: "Found an AgentCore project at `<path>`. Are you working in that project?" 2. **If no project exists anywhere nearby**, ask what capability they wanted to add. Then offer two paths: - "I can walk you through creating a project first and then adding CAPABILITY — want to do that?" (run the get-started flow inline, then continue with the build workflow) - "If you already have a project elsewhere, `cd` into it and try again." Do not just say "go use agents-get-started" and stop — that loses the developer's context about what they actually wanted to do. ### Step 2: Determine the workflow **Important disambiguation** — before routing to a build reference, check if the prompt is actually a connect or debug concern: - If the phrase mentions external APIs, Lambda functions, OpenAPI specs, gateways, credentials, MCP servers, or policies → this is `agents-connect`, not build - If the developer says something is broken (wrong answers, errors, tool failures) → this is `agents-debug`, not build - Build is for **adding new capabilities** to a working project, not fixing broken ones Based on the developer's prompt and `$ARGUMENTS`, load the appropriate reference: | Developer intent | Reference to load | |---|---| | Add memory, remember things, user preferences, cross-session | [`references/memory.md`](references/memory.md) | | Call agent from app, invoke from code, streaming, SDK client, agent URL, execute shell in session | [`references/integrate.md`](references/integrate.md) | | VPC, private network, RDS, internal API, subnet, security group | [`references/vpc.md`](references/vpc.md) | | Multi-agent, orchestrator, specialist, A2A, delegation, agent handoff | [`references/multi-agent.md`](references/multi-agent.md) | | Custom headers from caller to agent, header allowlist, tenant ID/correlation ID/trace propagation | [`references/request-headers.md`](references/request-headers.md) | | Migrate Bedrock Agent, import agent, move to AgentCore | [`references/migrate.md`](references/migrate.md) | | Browser tool, web navigation, form filling, scraping, Nova Act, Playwright, live view | [`references/browser.md`](references/browser.md) | | Code Interpreter, execute code, sandbox, run Python/JS/TS, data analysis in agent, pandas | [`references/code-interpreter.md`](references/code-interpreter.md) | | Payments, pay for x402 or MPP content, 402 Payment Required, Machine Payments Protocol, WWW-Authenticate: Payment, microtransactions, paid API/tool, payment manager/connector | [`references/payments.md`](references/payments.md) | | Delete agent, remove resource, tear down, clean up, destroy, start fresh | [`references/teardown.md`](references/teardown.md) | | Change model, switch model, use Haiku/Sonnet/Nova, different model | Inline — see "Changing the model" below | If the developer asks about the difference between local dev and deployed (e.g., "why does my memory work after deploy but not locally?"), load [`references/local-vs-deployed.md`](references/local-vs-deployed.md) alongside the specific workflow reference. Read the matching file into context and follow its Process section step by step — do not summarize. If the intent is ambiguous, ask the developer which capability they want to add. ### Changing the model The model is configured in `app/<AgentName>/model/load.py` (scaffolded by `agentcore create`). To change it: 1. Open `app/<AgentName>/model/load.py` 2. Change the `model_id` parameter in the `BedrockModel()` constructor ```python # Default (scaffolded by CLI) return BedrockModel(model_id="global.anthropic.claude-sonnet-4-5-20250929-v1:0") # Switch to Haiku for cost savings return BedrockModel(model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0") # Switch to Nova Lite return BedrockModel(model_id="amazon.nova-lite-v1:0") ``` Cross-region inference profile prefixes (`us.`, `eu.`, `apac.`, `global.`) control where inference runs. Use `global.` for maximum throughput, or a geographic prefix for data residency. Not all models support all prefixes — check the Bedrock inference profiles docs. After changing the model: - Verify the model is enabled in your region: AWS Console → Amazon Bedrock → Model access - For cross-region profiles, enable in all destination regions - If using `agents-harden`, update the IAM policy to scope to the new model ARN - Run `agentcore dev` to test locally, then `agentcore deploy` to update the deployed agent No `agentcore.json` change is needed — the model is configured in code, not in the project config. ### Pre-flight: validate any `--name` before generating the CLI command Whichever reference you load, most end up producing an `agentcore add <resource> --name <something>` command. The CLI fails **late** on invalid names — you'll see the error after walking through prompts, not before running the command. Validate up front: | Resource | Max chars | Allowed | Starts with | |---|---|---|---| | Agent (`add agent`) | 48 | alphanumeric + `_` | letter | | Memory, gateway, gateway-target, credential, evaluator, online-eval, policy, policy-engine, payment-manager, payment-connector | 48 | alphanumeric + `_` | letter | Count the characters before constructing the command. If the name is over the limit or contains hyphens, dots, or spaces, push back: "`<name>` is N characters / uses `-`, which the CLI rejects. How about `<suggestion>`?" Never run the command with an invalid name hoping the CLI message will be clear. Note: `agentcore create --name` (the project name) has a **stricter 23-char limit** and does not allow underscores. That's covered in `agents-get-started`; if you see the developer re-running create, flag the 23-char limit specifically. ## Output Depends on the workflow — see the loaded reference for specific outputs. ## Quality criteria - The correct reference was loaded based on the developer's intent - All output follows the loaded reference's quality criteria - Cross-references to other skills (agents-connect, agents-deploy) are included where relevant
© aws-agentcore · Apache-2.0 · aws/agent-toolkit-for-aws