584 skills · sorted by relevance
Connect the claude-mem-cowork plugin to cmem.ai using personal credentials. The skill writes connection settings, checks status without revealing the token, and packages the configured plugin for reinstallation so pairing can persist beyond the current Cowork session.
Add Storybook to a project that has no existing setup. Check the stable release to choose the installation tag, use the appropriate package manager, and hand off project-specific configuration to the separate /storybook-setup skill.
Upgrade an existing Storybook installation to version 11.0 or later using the official upgrade instructions. When the latest stable release is below 11.0, the skill directs the agent to use the 11.0 alpha release.
Upgrade an existing Storybook installation to version 11.0 or later using the official upgrade guide. If the latest stable release is below 11.0, the skill uses the 11.0 alpha, a prerelease version.
Set up an existing Storybook installation with a working preview file and stories that display real components. The skill checks prerequisites, then uses Storybook’s setup command and the instructions it provides.
Turn source code into project documentation, from a README with installation steps and examples to API references, architecture diagrams, developer guides, and changelogs. Match the scope and comment format to the project's size and programming language.
Find agent skills for installed coding tools such as Claude Code and Codex. Use OmniRoute to detect available tools, review relevant GitHub matches, and guide installation into each tool’s skill directory.
Set up ruvector@0.3.3 with supporting packages, register its MCP server for agent access, and verify installation with diagnostic commands and smoke tests. Helps prepare the dependencies needed for initial use of /vector subcommands.
Check a Ruflo installation for common environment and configuration problems, then run automatic repairs. The checks cover software versions, background services, the memory database, API keys, MCP servers, disk space, and TypeScript.
Check whether a web app is ready for PWA installation, which lets users install it like an app. Review HTTPS, app settings, icons, and offline responses, and identify missing or inconsistent configuration.
Checks LazyCodex and Codex CLI installations against current source code, inspecting versions, settings, plugin files, and runtime behavior. Produces an evidence-backed health report with suggested fixes while leaving the installed setup unchanged.
Test omo Codex Light edition in an isolated environment using real Codex and a local mock model. Verify installation, plugin hooks, and terminal startup, with captured evidence and no calls to a real model API.
Create a new native Muse plugin package with its manifest and requested capability files, then validate it using the installed muse CLI. Receive a file inventory, validation results, and an installation proposal for later use.
Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.
Find agent skills for a specific task, compare candidates using their capabilities, sources, and installation history, and install a selected skill into Cherry after the user has expressed an intent to install it.
Find AAS skills for a stated task and compare their full instructions and supporting files before installation. Review each candidate’s fit, setup requirements, provenance, risks, and limitations using the bundled local catalog.
Create and organize Claude Code plugins with guidance on configuration files, commands, agents, skills, hooks, and MCP servers. Learn where components belong, how automatic loading works, and how to reference files across different installation locations.
Set up and manage DeepTutor from the command line, a text interface for running commands. Run learning tasks, build searchable document collections, manage sessions and notebooks, diagnose installation issues, and launch the server or Web app.
Set up Python projects with uv, manage required packages, and create isolated environments for each project. Covers Python versions, dependency updates, migration from existing tools, and lockfiles that record package versions for repeatable installations.
Build Helm charts, reusable packages for deploying Kubernetes applications. Organize templates, manage configuration values for different environments, document settings, and validate charts before packaging or installation, with guidance for troubleshooting deployment and dependency problems.
Manage OpenViking skills through the ov skills command line. It guides searching, installation, inspection, updates, and removal, plus local format validation, with checks for installation results and the source recorded for each skill.
Diagnose missing recall, failed captures, and connection errors in the OpenViking memory plugin for Codex. Check installation, configuration, authentication, and server readiness, then use the findings to guide fixes and verify that memory works again.
Check an MCP server before release through a real client session. Compare available features with source code and documentation, test invalid requests and installation, and produce a verdict backed by reproducible commands and responses.
Find and evaluate a small, compatible set of AI Agent Skills for a multi-step goal. Check existing capabilities, compare candidates for fit and safety, identify overlaps, and prepare recommendations with installation subject to user approval.