projects — скилл для Claude Code: что делает и как установить
Пошагово настраивает проекты LaunchDarkly в кодовой базе: проверяет стек и создаёт проект через MCP или API.
npx skills add launchdarkly/ai-tooling --skill projects -a claude-codeЧто делает projects
Скилл помогает ИИ-агенту внедрить управление проектами LaunchDarkly в репозиторий. Сначала ассистент сканирует кодовую базу, определяет язык проекта (например, Python или Go) и способ хранения конфигураций. Затем он подбирает сценарий: быстрая интеграция для нового сервиса или шаблонизация под несколько регионов.
Для работы требуется настроенный LaunchDarkly MCP-сервер с авторизацией по OAuth либо токен API с разрешением projects:write. Инструкция прямо запрещает агенту искать ключи в файлах .env или переменных окружения. Если инструментов MCP не хватает, ассистент запрашивает токен у пользователя прямо в чате.
После создания контейнера с окружениями Production и Test агент верифицирует результат. Он проверяет ответ API через MCP или вызов curl, а затем тестирует запуск клиентского SDK со сбросом очереди событий через flush(). Без настроенного MCP-сервера или прав projects:write у токена создание проекта завершится ошибкой.
Какие задачи решает
- настроить контейнер проекта LaunchDarkly для нового сервиса
- организовать изоляцию флагов и сегментов по микросервисам
- сохранить ключи SDK для окружений Test и Production в конфигурацию
- проверить корректность инициализации SDK в коде приложения
Примеры запросов агенту
- Определи стек нашего сервиса и создай проект в LaunchDarkly через MCP-сервер
- Подготовь конфигурацию LaunchDarkly для разделения тестового и продакшен-окружений
- Проверь подключение LaunchDarkly SDK и валидность ключа проекта
Как установить projects
1Через Skills CLI (Vercel)
npx skills add launchdarkly/ai-tooling --skill projects -a claude-code2Вручную: положить файлы
~/.claude/skills/projects/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/projects/
1Через Skills CLI (Vercel)
npx skills add launchdarkly/ai-tooling --skill projects -a codex2Вручную: положить файлы
.agents/skills/projects/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add launchdarkly/ai-tooling --skill projects -a cursor2Вручную: положить файлы
.cursor/skills/projects/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install launchdarkly/ai-tooling projects2Вручную: положить файлы
.github/skills/projects/SKILL.md1Через Skills CLI (Vercel)
npx skills add launchdarkly/ai-tooling --skill projects -a gemini-cli2Командой платформы
gemini skills install https://github.com/launchdarkly/ai-tooling --path skills/agentcontrol/projectsВручную: положить файлы
.devin/skills/projects/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add launchdarkly/ai-tooling --skill projects -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 projects
Как установить projects в Claude Code?
Выполните команду npx skills add launchdarkly/ai-tooling --skill projects -a claude-code в терминале или сохраните файл навыка в ~/.claude/skills/projects/SKILL.md.
Зачем нужен скилл projects?
Он задаёт алгоритм для ИИ-агента по анализу архитектуры, созданию проектов в LaunchDarkly, получению ключей SDK для разных окружений и проверке их работы в коде.
Какие доступы нужны для работы скилла?
Требуется LaunchDarkly MCP-сервер с авторизацией по OAuth либо токен LaunchDarkly API с правом projects:write. Агент не читает секреты из .env, а запрашивает токен в диалоге при необходимости.
Исходный текст
SKILL.md · Apache-2.0
---
name: projects
description: Guide for setting up LaunchDarkly projects in your codebase. Helps you assess your stack, choose the right approach, and integrate project management that makes sense for your architecture.
compatibility: Requires LaunchDarkly API access token with projects:write permission or LaunchDarkly MCP server.
metadata:
author: launchdarkly
version: "0.4.0"
---
# LaunchDarkly Projects Setup
You're using a skill that will guide you through setting up LaunchDarkly project management in a codebase. Your job is to explore the codebase to understand the stack and patterns, assess what approach makes sense, choose the right implementation path from the references, execute the setup, and verify it works.
## Prerequisites
**Choose one:**
- LaunchDarkly API access token with `projects:write` permission
- LaunchDarkly MCP server configured in your environment
## Core Principles
1. **Understand First**: Explore the codebase to understand the stack and patterns.
2. **Choose the Right Fit**: Select an approach that matches your architecture.
3. **Follow Conventions**: Respect existing code style and structure.
4. **Verify Integration**: Confirm the setup works: the agent performs checks and reports results.
## API Access
Prefer the LaunchDarkly MCP server tools: they authenticate via OAuth and need no token. If a step has no MCP equivalent and you must call the REST API directly, ask the user to paste an API access token for this session and substitute it for `{api_token}` in the examples below. Do not search environment variables, `.env` files, or agent/MCP config files for credentials.
See [Quick Start](references/quick-start.md) for API usage patterns.
## What Are Projects?
Projects are LaunchDarkly's top-level organizational containers that hold:
- All your configs
- Feature flags and segments
- Multiple environments (Production and Test created by default)
Think of projects as separate applications, services, or teams that need their own isolated set of configurations.
## Project Setup Workflow
### Step 1: Explore the Codebase
Before implementing anything, understand the existing architecture:
1. **Identify the tech stack:**
- What language(s)? (Python, Node.js, Go, Java, etc.)
- What framework(s)? (FastAPI, Express, Spring Boot, etc.)
- Is there an existing LaunchDarkly integration?
2. **Check environment management:**
- How are environment variables stored? (.env files, secrets manager, config files)
- Where is configuration loaded? (startup scripts, config modules)
- Are there existing LaunchDarkly SDK keys?
3. **Look for patterns:**
- Are there existing API clients or service modules?
- How is external API integration typically done?
- Is there a CLI, scripts directory, or admin tooling?
4. **Understand the use case:**
- Is this a new project being set up?
- Adding to an existing LaunchDarkly integration?
- Part of a multi-service architecture?
- Need for project cloning across regions/teams?
### Step 2: Assess the Situation
Based on your exploration, determine the right approach:
| Scenario | Recommended Path |
|----------|------------------|
| New project, no LaunchDarkly integration | **Quick Setup** - Create project and save SDK keys |
| Existing LaunchDarkly usage | **Add to Existing** - Create new project or use existing |
| Multiple services/microservices | **Multi-Project** - Create projects per service |
| Multi-region or multi-tenant | **Project Cloning** - Clone template project |
| Infrastructure-as-Code (IaC) setup | **Automated Setup** - Script-based creation |
| Need project management tooling | **CLI/Admin Tools** - Build project management utilities |
### Step 3: Choose Your Implementation Path
Select the reference guide that matches your stack and use case:
**By Language/Stack:**
- [Python Implementation](references/python-setup.md) - For Python applications (FastAPI, Django, Flask)
- [Node.js/TypeScript Implementation](references/nodejs-setup.md) - For Node.js/Express/NestJS applications
- [Go Implementation](references/go-setup.md) - For Go services
- [Multi-Language Setup](references/multi-language-setup.md) - For polyglot architectures
**By Use Case:**
- [Quick Start](references/quick-start.md) - Create first project and get SDK keys
- [Environment Configuration](references/env-config.md) - Save SDK keys to .env, secrets, or config
- [Project Cloning](references/project-cloning.md) - Clone projects for regions/teams
- [IaC/Automation](references/iac-automation.md) - Terraform, scripts, CI/CD integration
- [Admin Tooling](references/admin-tooling.md) - Build CLI or admin utilities
### Step 4: Implement the Integration
Follow the chosen reference guide to implement project management. Key considerations:
1. **API Authentication:**
- Store API token securely
- Follow existing secrets management patterns
- Never commit tokens to version control
2. **Project Naming:**
- Use consistent, descriptive names
- Follow existing naming conventions
- Project keys: lowercase, hyphens, start with letter
3. **SDK Key Management:**
- Extract and store SDK keys for each environment
- Use the same pattern as other secrets in your codebase
- Consider separate keys for test/staging/production
4. **Error Handling:**
- Handle existing projects gracefully (409 conflict)
- Provide clear error messages
- Don't fail silently
### Step 5: Verify the Setup
After creating the project, verify it works:
1. **Fetch to confirm it exists.** Prefer the MCP `get-project` tool over raw `curl` — it returns a typed object you can inspect directly. If you must call the REST API:
```bash
curl -X GET "https://app.launchdarkly.com/api/v2/projects/{projectKey}?expand=environments" \
-H "Authorization: {api_token}"
```
**Do not pipe the response straight into a `.environments.items[]`-style `jq` filter.** The shape of `environments` varies by `expand` parameter — sometimes it's `{items: [...]}`, sometimes a bare array — and a hand-rolled filter will fail with `Cannot index array with string "items"`. Run `jq -e .` first to inspect the actual shape, or use `jq '.environments | if type == "object" then .items else . end'` to handle both.
2. **Test SDK integration:**
Run a quick verification to ensure the SDK key works:
```python
import ldclient
from ldclient.config import Config
ldclient.set_config(Config("{sdk_key}"))
# SDK initializes successfully
# Always flush events before closing — trailing events are at risk of being
# lost otherwise, in short-lived scripts and long-running services alike.
ldclient.get().flush()
ldclient.get().close()
```
3. **Report results:**
- ✓ Project exists and has environments
- ✓ SDK keys are present and valid
- ✓ SDK can initialize (or flag any issues)
## Project Key Best Practices
Project keys must follow these rules:
```
✓ Good examples:
- "support-ai"
- "chat-bot-v2"
- "internal-tools"
✗ Bad examples:
- "Support_AI" # No uppercase or underscores
- "123-project" # Must start with letter
- "my.project" # No dots allowed
```
**Naming Recommendations:**
- Keep keys short but descriptive
- Use team/service/purpose as naming scheme
- Be consistent across your organization
## Common Organization Patterns
### By Team
```
platform-ai → Platform Team Agent
customer-ai → Customer Success Team Agent
internal-ai → Internal Tools Team Agent
```
### By Application/Service
```
mobile-ai → Mobile App configs
web-ai → Web App configs
api-ai → API Service configs
```
### By Region/Deployment
```
ai-us → US Region
ai-eu → Europe Region
ai-apac → Asia-Pacific Region
```
## Edge Cases
| Situation | Action |
|-----------|--------|
| Project already exists | Check if it's the right one; use it or create with different key |
| Need multiple projects | Create separately for each service/region/team |
| Shared configs across services | Use same project, separate by SDK context |
| Token lacks permissions | Request `projects:write` or use MCP server |
| Project name conflict | Keys must be unique, names can be similar |
## What NOT to Do
- Don't create projects without understanding the use case first
- Don't commit API tokens or SDK keys to version control
- Don't use production SDK keys in test/development environments
- Don't create duplicate projects unnecessarily
- Don't skip the exploration phase
## Next Steps
After setting up projects:
1. **Create configs** - Use the `configs-create` skill
2. **Set up SDK Integration** - Use the `sdk` skill
3. **Configure Targeting** - Use the `configs-targeting` skill
## Related Skills
- `configs-create` - Create configs in projects
- `sdk` - Integrate SDK in your application
- `configs-targeting` - Configure config targeting
- `configs-variations` - Manage config variations
## References
- [Python Implementation](references/python-setup.md)
- [Node.js Implementation](references/nodejs-setup.md)
- [Go Implementation](references/go-setup.md)
- [Quick Start Guide](references/quick-start.md)
- [Environment Configuration](references/env-config.md)
- [Project Cloning](references/project-cloning.md)
- [IaC/Automation](references/iac-automation.md)
- [Admin Tooling](references/admin-tooling.md)
© launchdarkly · Apache-2.0 · launchdarkly/ai-tooling