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.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add launchdarkly/agent-skills --skill aiconfig-projectsCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaiconfig-projectsExecute the skills CLI command in your project's root directory to begin installation:
epx add launchdarkly/agent-skills --skill aiconfig-projectsFetches aiconfig-projects 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:
.cursor/skills/aiconfig-projects
Restart Cursor to activate aiconfig-projects. Access via /aiconfig-projectsin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
llm-council
am-will/codex-skills · AI/ML · same category
aiogram-framework
narumiruna/telegram-bot · AI/ML · same category
qq-email
shadowcz007/skills · AI/ML · same category
mjml-email-templates
aaronontheweb/dotnet-skills · AI/ML · same category
theme-factory
anthropics/skills · AI/ML · same category
ml-engineer
sickn33/antigravity-awesome-skills · AI/ML · same category
aiconfig-projects reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added aiconfig-projects from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
aiconfig-projects fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
aiconfig-projects is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
aiconfig-projects reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: aiconfig-projects is focused, and the summary matches what you get after install.
Registry listing for aiconfig-projects matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: aiconfig-projects is focused, and the summary matches what you get after install.
aiconfig-projects has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: aiconfig-projects is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 73