Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Orchestrates eight skills to design application architecture, focusing on decisions that are expensive to reverse. Covers service boundaries, domain modeling, data choices, and resilience, with questions and persistent architecture documents to support work across sessions.
Builds section structures and block tables from authoring analysis for AEM Edge Delivery Services imports. Handles metadata and the images folder as a step in the page-import pipeline.
Guides validation of AEM Edge Delivery Services changes before opening a pull request. Covers unit tests for utilities and logic, browser tests with Playwright, linting, and decisions about what to test.
Guides migration of Android projects from any legacy Google Play Billing Library version to the latest stable version.
Provides Redis Cluster and replication guidance for sharded key design and multi-key operations. Covers hash tags, CROSSSLOT debugging, clustered transactions, and replica routing for read-heavy workloads.
Collects the experiment domain, target file, evaluation command, metric, optimization direction, and evaluator. Prepares an autoresearch loop to optimize the selected file.
Investigate Apple App Review and Google Play rejections, including metadata, binary, and policy issues. Support fixes, reviewer responses, appeals, resubmissions, and expedited review requests.
Provides foundational HubSpot CLI workflows for JSONL piping, batch reads, and pagination. Covers dry runs, digests, confirmation for destructive operations, and recovery using hubspot history.
Uses the CloudBase document database SDK for WeChat Mini Programs to create, read, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
Choose or change App Store and Google Play categories and subcategories. Assess primary versus secondary categories, chart competition, discoverability, and effects on editorial featuring eligibility.
Covers building AI agents using the Convex Agent component. Includes thread management, tool integration, streaming responses, retrieval-augmented generation patterns, and workflow orchestration.
Finds incomplete CRM records, normalizes field values in bulk, and merges duplicate objects. Audits custom properties and uses JSONL pipelines with dry-run, digest, and confirmation safeguards.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name