aiconfig-snippets

Original：🇺🇸 English
Translated

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

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NPX Install

npx skill4agent add launchdarkly/agent-skills aiconfig-snippets

Tags

Translated version includes tags in frontmatter
prompt-snippetsai-configlaunchdarklymcp-toolsprompt-management

SKILL.md Content

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AI 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 AI 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 AI Config variations.
When a snippet is updated, a new version is created. AI 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 AI 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 AI 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