rocky
Agentic-assisted engineering for teams and solo devs
Install / Use
claude mcp add hellozheat -- npx -y github:hellozheat/rockyIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of rocky
rocky scores 70/100 on our quality scale, 3833rd of 4,658 Development & Engineering skills we index.
Its MCP Server is 6.2 KB long, well organised into 20 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 73/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
rocky compared with similar skills
All 4 of these similar skills score higher than rocky; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| rocky (this skill)by hellozheat | 70 | 3 | 5mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 106.6k | 5d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 106.0k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.3k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.6k | 3d ago | CLAUDE.md |
Frequently asked questions
- How do I install rocky?
- Run
claude mcp add hellozheat -- npx -y github:hellozheat/rocky. The install tabs above show the steps for each supported agent. - Which AI agents does rocky work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is rocky safe to use?
- It declares no license and scores 73/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is rocky still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubRocky — Agentic-assisted engineering for teams and solo devs
Rocky is an MCP server for AI-assisted engineering workflows. It gives your assistant a shared handbook (agents + rules), one devkit gateway tool, and a pre-PR quality gate so outputs are reviewable before opening a pull request.
Rocky is agentic-assisted, not autonomous: your model still writes code in your repo, and Rocky provides the standards, routing, and checks.
🚀 Quick connect
MCP endpoint: https://userocky.zheat.xyz/mcp
Inspector: https://userocky.zheat.xyz/inspector
Claude Code
claude mcp add --transport http "rocky" https://userocky.zheat.xyz/mcp
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"rocky": {
"url": "https://userocky.zheat.xyz/mcp"
}
}
}
VS Code / VS Code Insiders / ChatGPT
- Open userocky.zheat.xyz/mcp and use one-click client buttons, or
- Add
https://userocky.zheat.xyz/mcpmanually in your MCP connector settings.
Why teams use Rocky
- Pre-PR quality gate: run lint, tests, and review heuristics before PR creation.
- Token-efficient tooling: one
devkitgateway action contract instead of fragmented tools. - Codebase discovery first: graphify-first flow, optional Understand Anything graph if present.
- Consistent implementation style: shared agents and rules exposed as MCP resources.
- Safer repo operations: path scoping via
DEVKIT_ALLOWED_REPO_ROOTSand allowlisted command execution.
Snapshot: features, agents, skills
Features
devkitunified gateway + standalone repo/web helper tools.pre_pr_quality_gatewithready/not_readyverdicts.- Codebase discovery flow: Understand Anything (if present) -> graphify -> folder walkthrough.
- Handbook resources exposed over MCP (
devkit://handbook/...). - Built-in prompts:
devkit-start-task,devkit-review-code,devkit-before-pr,devkit-learn-the-stack.
Agents (24 total)
- Architecture/app:
react-hexagonal,nextjs-developer,node-api-developer,nestjs-hexagonal,fastapi-hexagonal,typescript-library-developer. - Testing/quality:
vitest-writer,playwright-writer,storybook-writer,test-writer-nestjs,test-writer-python,tester-qa,pr-quality-gate,code-reviewer. - Discovery/workflow:
codebase-discovery,graphify-local-project,graphify-codebase-understanding,understand-anything-onboarding,coverage-and-review-workflow. - Support:
product-owner,documentation-writer,code-simplifier,tailwind-ui-developer,k3s-devops.
Skills (26 total, compact groups)
- Build by stack:
react-hexagonal,nextjs-app-router,node-api-layered,nestjs-hexagonal,fastapi-hexagonal,typescript-library. - Testing/review:
vitest-react,playwright-e2e,storybook-react,jest-nestjs,pytest-hexagonal,linter,githubpr,feature-implementation. - Ops/security/perf:
trivyfix,sonarfix,popeyescan,performance-audit,dbanalyze,async-python-patterns. - Product/design:
product-requirements,frontend-design,web-design-guidelines,brainstorming,tailwind-ui,vercel-react-best-practices.
Usage
Use natural language in your host app; the model calls devkit actions under the hood.
Example prompt
Use Rocky: read devkit://how-it-works, list_handbook, and the matching stack agent.
Implement changes directly in this repo, then run pre_pr_quality_gate before we finish.
Do not only call MCP tools without editing files.
Typical flow
- Discover conventions (
list_handbook, stack-specific agent). - Implement in the repo (small, reviewable diffs).
- Verify (
yarn lint:fix,yarn test,yarn buildin target project). - Gate (
pre_pr_quality_gate) until verdict isready. - Open PR (
repo_open_pr) if needed.
Integrations and clients
- MCP hosts: Cursor, Claude Code/Desktop, VS Code, VS Code Insiders, ChatGPT (Developer Mode).
- Inspector: built-in interactive MCP inspection at
/inspector. - Team workflow: works with existing repo conventions, CI, and review processes.
Local development
git clone https://github.com/hellozheat/rocky.git
cd rocky
yarn install
yarn dev
Build and verify:
yarn lint:fix
yarn test
yarn build
Deploy
yarn install
yarn build
yarn deploy
Set production env vars from config/env.example:
MCP_URLPORTDEVKIT_ALLOWED_REPO_ROOTSGITHUB_TOKEN(only if usingrepo_open_pr)
Documentation
- Install and security
- Senior workflow
- Using Rocky: value report
- Token and cost breakdown
- Architecture profiles
- Why agents and skills are split
Core concepts (quick reference)
- Gateway model: call
devkitwith anactionfor handbook, analysis, quality gate, and repo operations. - Discovery policy: prefer Understand Anything graph when present, otherwise graphify artifacts, otherwise folder walkthrough.
- Prompt resources:
devkit-start-task,devkit-review-code,devkit-before-pr,devkit-learn-the-stack.
For full action-level references and MCP resource details, use:
devkit://capabilitiesdevkit://tool-composabilitydevkit://path-scope-policy
Contributing
Contributions are welcome. Please open an issue or PR with clear scope and reproducible steps.
If your change affects behavior, include:
- before/after behavior summary,
- tests or rationale for test coverage,
- any handbook/rule updates needed for agent consistency.
License
MIT
Related Skills
Agent-Reach
106.6kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
taste-skill
106.0kAgent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
headroom
78.3kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ai-job-search
67.6kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

