You're using a skill that will guide you through adding capabilities to your AI agents through tools (function calling). Your job is to identify what your AI needs to do, create tool definitions, attach them to variations, and verify they work.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaiconfig-toolsExecute the skills CLI command in your project's root directory to begin installation:
Fetches aiconfig-tools from launchdarkly/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate aiconfig-tools. Access via /aiconfig-tools in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
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Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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You're using a skill that will guide you through adding capabilities to your AI agents through tools (function calling). Your job is to identify what your AI needs to do, create tool definitions, attach them to variations, and verify they work.
/*:ai-tool/* permissionaiconfig-create skill first)/ai-tools (NOT /ai-configs/tools)LAUNCHDARKLY_API_KEY, LAUNCHDARKLY_API_TOKEN, LD_API_KEYWhat should the AI be able to do?
Follow API Quick Start:
POST /projects/{projectKey}/ai-tools with key, description, schemaTools cannot be attached during config creation. PATCH the variation:
PATCH /projects/{projectKey}/ai-configs/{configKey}/variations/{variationKey}
Body: {"model": {"parameters": {"tools": [{"key": "tool-name", "version": 1}]}}}
See API Quick Start for full curl example.
Verify tool exists:
GET /projects/{projectKey}/ai-tools/{toolKey}
Verify attached to variation:
GET /projects/{projectKey}/ai-configs/{configKey}/variations/{variationKey}
Check model.parameters.tools includes your tool key.
Report results:
LangGraph, CrewAI, AutoGen often generate schemas from function definitions. You still need to create tools in LaunchDarkly and attach keys to variations so the SDK knows what's available.
| Situation | Action |
|---|---|
| Tool already exists (409) | Use existing or create with different key |
| Wrong endpoint | Use /ai-tools, not /ai-configs/tools |
| Schema invalid | Use OpenAI function format |
/ai-configs/tools — it doesn't existaiconfig-create — Create config before attaching toolsaiconfig-variations — Manage variationsPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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aiconfig-tools is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
aiconfig-tools has been reliable in day-to-day use. Documentation quality is above average for community skills.
aiconfig-tools fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend aiconfig-tools for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: aiconfig-tools is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added aiconfig-tools from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
aiconfig-tools reduced setup friction for our internal harness; good balance of opinion and flexibility.
aiconfig-tools fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: aiconfig-tools is focused, and the summary matches what you get after install.
aiconfig-tools is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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