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.Produces research papers, literature reviews, technical reports, theses, dissertations, conference papers, and academic proposals. Gathers sources from Google Scholar and other academic databases, verifies credibility, and generates IEEE references.
Retrieves review comments from the active pull request and summarizes the feedback.
Distinguishes context stuffing from context engineering. Helps diagnose AI workflows that are bloated, brittle, or hard to steer reliably.
Enforces naming, code structure, error handling, async patterns, dead code policy, and TSDoc or XML documentation standards. Reviews comments for intent, checks ADR and contributor guidance, and flags architectural decisions that may be stale.
Supports frontend development through component scaffolding, state management, UI implementation, and code review. Includes performance optimization, bundle analysis, and UI best practices.
Builds single-step or multi-step pipelines for curation, translation, SFT/PEFT, pretraining, and RL alignment. Includes benchmarks, checkpoint conversion, ModelOpt optimization, environment profiles, and evaluation of checkpoints or hosted endpoints.
Builds valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Covers query strings and aggregations for metrics and resources, excluding metric discovery and selection.
Uses the Hugging Face Dataset Viewer API to inspect subsets and splits, paginate rows, search text, and apply filters. Retrieves Parquet download URLs and dataset size or statistics.
Audits skills against best practices to assess quality and identify improvements. Covers skill structure, workflow design, description effectiveness, token use, and validation.
Drives local interfaces for screenshots, accessibility snapshots, performance profiles, and visual comparisons. Supports UI verification and reproducing interface bugs.
Uses Progressive Domain Crystallization to accumulate domain knowledge as a custom business application evolves. Captures terminology, entities, relationships, and business rules so AI context can grow across sessions.
Integrates with Confluence to interact with document management data. Supports managing records and workflows.
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