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aiconfig-variations▌

launchdarkly/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/launchdarkly/agent-skills --skill aiconfig-variations
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summary

You're using a skill that will guide you through testing and optimizing AI configurations through variations. Your job is to design experiments, create variations, and systematically find what works best.

skill.md

AI Config Variations

You're using a skill that will guide you through testing and optimizing AI configurations through variations. Your job is to design experiments, create variations, and systematically find what works best.

Prerequisites

  • Existing AI Config (use aiconfig-create first)
  • LaunchDarkly API access token or MCP server
  • Clear hypothesis about what to test

Core Principles

  1. Test One Thing at a Time: Change model OR prompt OR parameters, not all at once
  2. Have a Hypothesis: Know what you're trying to improve
  3. Measure Results: Use metrics to compare variations
  4. Verify via API: The agent fetches the config to confirm variations exist

API Key Detection

  1. Check environment variables — LAUNCHDARKLY_API_KEY, LAUNCHDARKLY_API_TOKEN, LD_API_KEY
  2. Check MCP config — If applicable
  3. Prompt user — Only if detection fails

Workflow

Step 1: Identify What to Optimize

What's the problem? Cost, quality, speed, accuracy? How will you measure success?

Step 2: Design the Experiment

Goal What to Vary
Reduce cost Cheaper model (e.g., gpt-4o-mini)
Improve quality Better model or prompt
Reduce latency Faster model, lower max_tokens
Increase accuracy Different model (Claude vs GPT-4)

Step 3: Create Variations

Follow API Quick Start:

  • POST /projects/{projectKey}/ai-configs/{configKey}/variations
  • Include modelConfigKey (required for UI)
  • Keep everything else constant except what you're testing

Step 4: Set Up Targeting

Use aiconfig-targeting skill to control distribution (e.g., 50/50 split for A/B test).

Step 5: Verify

  1. Fetch config:

    GET /projects/{projectKey}/ai-configs/{configKey}

  2. Confirm variations exist with correct model and parameters

  3. Report results:

    • ✓ Variations created
    • ✓ Models and parameters correct
    • ⚠️ Flag any issues

modelConfigKey

Required for models to show in UI. Format: {Provider}.{model-id} — e.g., OpenAI.gpt-4o, Anthropic.claude-sonnet-4-5.

What NOT to Do

  • Don't test too many things at once
  • Don't forget modelConfigKey
  • Don't make decisions on small sample sizes

Related Skills

  • aiconfig-create — Create the initial config
  • aiconfig-targeting — Control who gets which variation
  • aiconfig-update — Refine based on learnings

References

how to use aiconfig-variations

How to use aiconfig-variations on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add aiconfig-variations
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/launchdarkly/agent-skills --skill aiconfig-variations

The skills CLI fetches aiconfig-variations from GitHub repository launchdarkly/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/aiconfig-variations

Reload or restart Cursor to activate aiconfig-variations. Access the skill through slash commands (e.g., /aiconfig-variations) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.6★★★★★58 reviews
  • ★★★★★Diego Thomas· Dec 28, 2024

    aiconfig-variations fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Henry Diallo· Dec 28, 2024

    We added aiconfig-variations from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Noor Kim· Dec 24, 2024

    Useful defaults in aiconfig-variations — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Kaira Thomas· Dec 24, 2024

    Solid pick for teams standardizing on skills: aiconfig-variations is focused, and the summary matches what you get after install.

  • ★★★★★Advait Huang· Dec 20, 2024

    aiconfig-variations is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Charlotte Ghosh· Nov 19, 2024

    Useful defaults in aiconfig-variations — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Noor Choi· Nov 15, 2024

    We added aiconfig-variations from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Zaid Gupta· Nov 15, 2024

    I recommend aiconfig-variations for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Charlotte Bansal· Nov 11, 2024

    Keeps context tight: aiconfig-variations is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Diego Harris· Nov 11, 2024

    aiconfig-variations has been reliable in day-to-day use. Documentation quality is above average for community skills.

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