Snippets

作者 launchdarkly2fc544d3140fApache-2.026 个星标收录于 2026年10月8日更新于 2026年10月8日仓库昨天更新

Create and manage prompt snippets — reusable text blocks referenced inside config variation prompts. Keeps common instructions, personas, and guardrails consistent across multiple configs.

仅含说明AI & Agents
AI 生成的概览

在 LaunchDarkly 中创建和管理可复用的提示片段,以便在多个 AI 配置变体间共享文本。

功能
引导智能体识别可复用的提示文本,例如角色设定、防护规则、输出格式和领域知识,并在 LaunchDarkly 中为其创建具名片段。内容涵盖列出和查看现有片段、更新片段以生成新版本,以及验证引用是否正确接通。同时说明何时不应使用片段,以及如何处理重复或删除情况。
适用场景
当同一段提示文本需要在多个 LaunchDarkly AI 配置变体之间保持一致时使用。适合将共享的角色设定、安全防护规则、输出格式说明或合规文本整合为可复用块。
运行要求
需要在环境中配置远程托管的 LaunchDarkly MCP 服务器,并提供 create-prompt-snippet、list-prompt-snippets、get-prompt-snippet 等工具,以及可选的更新和删除工具。需要访问 LaunchDarkly 的网络连接。不附带脚本,仅提供说明。

Config Prompt Snippets

You're using a skill that will guide you through creating and managing prompt snippets in LaunchDarkly. Your job is to identify reusable text, create snippets, reference them in config variations, and verify everything is wired correctly.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Required MCP tools:

  • create-prompt-snippet -- create a new reusable text block
  • list-prompt-snippets -- browse existing snippets in the project
  • get-prompt-snippet -- inspect a specific snippet's content

Optional MCP tools:

  • update-prompt-snippet -- edit a snippet's text, name, or tags
  • delete-prompt-snippet -- permanently remove a snippet
  • update-ai-config-variation -- update variation prompts to reference snippets

Core Concepts

What Are Prompt Snippets?

Prompt snippets are named, versioned text blocks stored at the project level. They contain reusable pieces of prompt text — personas, guardrails, output format instructions, domain knowledge — that can be shared across multiple config variations.

When a snippet is updated, a new version is created. Config variations that reference the snippet can pick up the latest version, keeping all your configs in sync.

When to Use Snippets

ScenarioExample
Shared persona"You are a helpful customer support agent for Acme Corp..." used by 5 different configs
Safety guardrails"Never reveal internal pricing. Never generate code that accesses production databases."
Output format"Always respond in JSON with keys: answer, confidence, sources."
Domain knowledgeCompany-specific terminology, product names, or process descriptions
Regulatory textCompliance disclaimers that must appear in every response

When NOT to Use Snippets

  • Text that is unique to a single variation — just put it in the prompt directly
  • Dynamic content that changes per-request — use template variables instead
  • Entire prompts — snippets are building blocks, not complete prompts

Core Principles

  1. Reusability First: Only create a snippet if the text will be used in 2+ places
  2. Single Responsibility: Each snippet should cover one concern (persona OR guardrails, not both)
  3. Descriptive Keys: Use keys like safety-guardrails, json-output-format, support-persona
  4. Tag for Discovery: Add tags so teammates can find snippets by category
  5. Verify References: After creating a snippet, confirm it appears in the project

Workflow

Step 1: Identify Reusable Text

Before creating snippets, understand what's shared:

  1. List existing configs in the project using get-ai-config for each
  2. Look for repeated text across variation prompts
  3. Identify text that should stay consistent (guardrails, personas, formats)
  4. Check existing snippets with list-prompt-snippets to avoid duplicates

Step 2: Create Snippets

Use create-prompt-snippet with:

  • key -- unique identifier (lowercase, hyphens, e.g. safety-guardrails)
  • name -- human-readable display name
  • text -- the reusable prompt text content
  • description (optional) -- explain when/why to use this snippet
  • tags (optional) -- categorize for discovery (e.g. ["guardrails", "safety"])
json
{  "projectKey": "my-project",  "key": "support-persona",  "name": "Customer Support Persona",  "text": "You are a friendly, knowledgeable customer support agent for Acme Corp. Always greet the customer by name when available. Be empathetic but concise. If you don't know the answer, say so honestly and offer to escalate.",  "description": "Standard persona for all customer-facing support configs",  "tags": ["persona", "support"]}

Step 3: Verify

  1. Use get-prompt-snippet to confirm the snippet was created with the correct text
  2. Use list-prompt-snippets to see it in the project listing
  3. Check that version is 1 for newly created snippets

Report results:

  • Snippet created with key, name, and text
  • Version number confirmed
  • Tags applied correctly

Step 4: Update Snippets (When Needed)

Use update-prompt-snippet to modify an existing snippet. Only pass the fields you want to change:

json
{  "projectKey": "my-project",  "snippetKey": "safety-guardrails",  "text": "Updated guardrail text with new compliance requirements..."}

Each update creates a new version. Existing config variations referencing the snippet can pick up the new version.

Edge Cases

SituationAction
Snippet key already existsUse get-prompt-snippet to check, then either update or choose a different key
Very long textSnippets can hold large blocks — but consider splitting into multiple snippets for modularity
Snippet referenced by configsUpdate carefully — changes propagate to all referencing configs
Deleting a referenced snippetWarn the user that configs will lose the reference. Use delete-prompt-snippet with confirm: true

What NOT to Do

  • Don't create snippets for text used in only one place
  • Don't put an entire prompt in a single snippet — break it into focused pieces
  • Don't delete snippets without checking which configs reference them
  • Don't duplicate existing snippets — check list-prompt-snippets first

More resources

To learn more about setting up prompt snippets in the LaunchDarkly UI, read Prompt snippets.

来源与署名

来源:launchdarkly/ai-tooling位于skills/agentcontrol/snippets提交2fc544d

许可证: Apache-2.0

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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