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.Applies motion design inspired by Emil Kowalski's animation guidance after an interface exists. Adds micro-interactions, state transitions, and page motion with restraint.
Researches dependency changes, captures existing PR discussion, and evaluates security, quality, and impact. Produces a repeatable verdict for library upgrades and Renovate or Dependabot PRs; excludes unattended merging.
Combines the how and why skills into a clear explanation of a body of work. Helps people understand changes, subsystems, their behavior, and their rationale.
Supports creating, importing, saving, listing, retrieving, editing, deleting, and duplicating prompt templates. Manages variable placeholders and labels for promotion between environments such as staging and production.
Supports inspecting data and settings, managing repositories and sessions, prompting agents, listing models, and running an MCP server. Also covers CLI and skill updates, GitHub integration, and planning, splitting, or resynchronizing dependent pull request stacks.
Migrates time, file, and environment calls to chosen abstractions using constructor injection or compatible static APIs. Replaces real-resource tests with fakes while preserving details such as DateTimeKind and call counts.
Resumes from the first unfinished PLAN.md task in an isolated worktree with per-step commits and checkpoints. Runs integration tests, captures UI screenshots, enforces completion gates, preserves run-folder and label conventions, and keeps design-only pull requests separate from implementation.
Adds Open in molab badges that link to marimo notebooks. Supports READMEs, documentation, websites, and other Markdown or HTML targets.
Designs a Proof of Life probe to test a risky hypothesis cheaply. Supports obtaining early validation evidence before building a product.
Supports skill creation, source synthesis, iterative improvement from examples, and maintenance. Handles source capture, precision passes, authoring, registration, documentation, and validation.
Extracts lasting working preferences and feedback from recent Cursor chats. Converts them into skills, rules, workflow documents, or agent guidance tailored to a person or team.
Coordinates multi-step specification implementation with persistent plans and handoffs, one commit per step, and periodic integration tests and UI screenshots. Runs a final validation gate and produces a labeled, ready pull request.
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