AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
About the project
Cherry Studio is a desktop application for Windows, Mac, and Linux that brings together conversations with multiple language-model providers, local models, configurable assistants, document processing, and connected tools. It is for people who want one workspace for AI chat, productivity, and agent tasks, and the catalogue add-ons add skills, agents, instructions, and plugins for that workflow.
Develop, fix, profile, and test PRs in a tracked Cherry Studio Electron instance. Use for implementation, UI and interaction work, runtime debugging, DevTools inspection, performance analysis, and interactive PR verification with a test report. Reuse a verified workspace instance and manage its lifetime according to…
Create a new skill in the current repository. Use when the user wants to create/add a new skill, or mentions creating a skill from scratch. This skill follows the workflow defined in .agents/skills/README.md and helps scaffold, validate, and sync new skills.
Create or update GitHub pull requests using the repository-required workflow and template compliance. Use when asked to create/open/update a PR so the assistant reads .github/pullrequesttemplate.md, fills every template section, preserves markdown structure exactly, and marks missing data as N/A or None instead of…
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changed 3d agoASkillSpector: warn65 tokens
AGPL-3.0
Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks…
Prepare a new release by collecting commits, generating bilingual release notes, updating version files, and creating a release branch. Use when asked to prepare/create a release, bump version, or run /prepare-release.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance…
Runs Antigravity CLI headlessly for repository analysis and coding tasks. Use when the user asks to delegate work to Antigravity CLI or compare its result with another coding agent.
Runs Claude Code non-interactively for code analysis and implementation tasks. Use when the user asks to delegate repository work to Claude Code or compare its result with another coding agent.
Runs Codex CLI non-interactively for code analysis and implementation tasks. Use when the user asks to delegate repository work to Codex or obtain a second coding-agent result.
Runs Gemini CLI headlessly for repository analysis and coding tasks. Use when the user asks to delegate work to Gemini CLI or compare its result with another coding agent.
Runs GitHub Copilot CLI programmatically for repository analysis and coding tasks. Use when the user asks to delegate work to Copilot CLI or obtain a Copilot coding-agent result.
Runs Hermes Agent in one-shot mode for bounded local tasks. Use when the user explicitly asks to delegate work to Hermes and accepts its automatic tool approval behavior.
Runs a local OpenClaw agent non-interactively and returns its structured response. Use when the user asks to delegate a bounded task to the OpenClaw main agent.
Runs OpenCode non-interactively for repository analysis and coding tasks. Use when the user asks to delegate work to OpenCode or compare OpenCode with another coding agent.
Runs Pi non-interactively and parses its JSON event stream for repository tasks. Use when the user asks to delegate a bounded analysis or implementation task to Pi.
Runs Qwen Code headlessly for repository analysis and coding tasks. Use when the user asks to delegate work to Qwen Code or obtain a Qwen-based coding-agent result.
Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with bun and one-off JS tools with bun x; run Python with uv run [--with ] python and one-off Python CLIs with uvx; search with rg. Load this guide before changing project…
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Interact with the user's visible Agent browser in Cherry Studio. Use for page navigation, authenticated websites, screenshots, forms, clicks, and browser debugging. Check live browser tools first; browser control requires the Browser setting and an available Agent pane.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: