codingbuddy
Codingbuddy orchestrates 29 specialized AI agents to deliver code quality comparable to a team of human experts through a PLAN → ACT → EVAL workflow.
Install / Use
npx skills add JeremyDev87/codingbuddyInstalls into whichever agent you are using.
Other
Other agent config
Quality Score
Category
AutomationSupported Platforms
Our assessment of codingbuddy
codingbuddy scores 82/100 on our quality scale, 2300th of 2,877 Automation skills we index.
Its Other is 13 KB long, well organised into 25 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.
It has 31 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 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 91/100, with 1 caution 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.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
codingbuddy compared with similar skills
All 4 of these similar skills score higher than codingbuddy; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| codingbuddy (this skill)by JeremyDev87 | 82 | 31 | 7mo ago | Other |
| Agent-Reachby Panniantong | 100 | 109.5k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 98.7k | today | MCP Server |
Frequently asked questions
- How do I install codingbuddy?
- Run
npx skills add JeremyDev87/codingbuddy. The install tabs above show the steps for each supported agent. - Which AI agents does codingbuddy work with?
- It is written for Claude Code, Cursor, GitHub Copilot and Zed, as a Other file. Other agents that read the same format can often use it too.
- Is codingbuddy safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 91/100 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 codingbuddy still maintained?
- The repository was last updated about 7 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 GitHubCodingbuddy
Prove your AI coding is actually improving.
Codingbuddy is a multi-AI MCP server that orchestrates 37 specialist agents across 9 AI tools — and measures the impact on your code quality with every session.
What's New in v5.6.0 — HUD Statusbar Wave
- Breathing Buddy Face — the buddy face reacts to your session phase (idle / thinking / active / blocked / victory) so the status bar feels alive.
- Cost Velocity Indicator — session spend-rate badge with 🔥 / ↗ / → / 💤 trend glyphs tells you whether you're on a slow planning pass or a hot refactor burn.
- Cache Savings Badge — quantifies prompt-cache discounts as
💰$N.NN savedso you see the value of caching in real time. - Mode Rainbow Coloring — per-mode ANSI truecolor gradients (PLAN ◇ / ACT ◆ / EVAL ◈ / AUTO ◊) with
NO_COLORenv support for CI and greyscale terminals. - Smart Context Bar — visual
[████░░░░░░] 42%progress bar replaces plainCtx:42%text with warning and danger thresholds. - Adaptive Layout Engine — HUD fits narrow terminals gracefully with
fit_segmentsadaptive truncation. - Rate-limit Severity Icons — visual warnings when you approach API rate limits.
Session Impact Report
At the end of every session, codingbuddy shows you what actually happened:
┌─────────────────────────────────────────────────┐
│ Session Impact Report │
├─────────────────────────────────────────────────┤
│ │
│ Issues prevented 12 │
│ Security 4 (2 critical) │
│ Accessibility 3 │
│ Performance 2 │
│ Code Quality 3 │
│ │
│ Agents dispatched 8 │
│ Checklists generated 5 │
│ Mode transitions PLAN → ACT → EVAL │
│ Context decisions 14 │
│ │
└─────────────────────────────────────────────────┘
Most AI rules tools tell you to "code better." Codingbuddy proves you did.
Quick Start
# 1. Install
npm install -g codingbuddy
# 2. Initialize your project
npx codingbuddy init
# 3. Add to your AI tool's MCP config
{
"mcpServers": {
"codingbuddy": {
"command": "npx",
"args": ["codingbuddy", "mcp"]
}
}
}
Start coding with PLAN, ACT, EVAL, or AUTO keywords.
Claude Code users: Install as a plugin for the full experience:
# 1. Add marketplace claude marketplace add JeremyDev87/codingbuddy # 2. Install plugin claude plugin install codingbuddy@jeremydev87The plugin adds session-aware hooks that power Impact Reports, buddy greetings, onboarding tours, achievement badges, and adaptive performance mode. Update to the latest version with
claude plugin install codingbuddy@jeremydev87.See the Plugin Guide for details.
Why Codingbuddy?
Measurable results, not promises. Session Impact Reports show issues prevented, agents dispatched, and quality improvements — backed by data from every tool call.
37 specialists, not one generalist. Security engineers, accessibility experts, performance specialists, architects — each with domain expertise that a single AI cannot match.
One ruleset, 9 AI tools. Same quality standards whether you use Cursor, Claude Code, GitHub Copilot, or any other supported tool. Switch tools without losing consistency.
Quality gates that ship. The PLAN → ACT → EVAL cycle iterates until Critical=0 and High=0. Production-ready code, not "good enough" code.
What's New in v5.4.0
Question-First Planning — Codingbuddy now asks before it plans. Ambiguous prompts trigger a clarifying question, and clear prompts walk through Discover→Design→Plan stages with explicit user confirmation at each step.
Council Scene — PLAN, EVAL, and AUTO modes open with a visible council scene showing which specialist agents are assembled and ready to collaborate.
Permission Forecast — Before execution, codingbuddy surfaces what permission classes (repo-write, network, external) will be needed, so you can prepare approval bundles in advance.
Execution Gate — When the planning stage hasn't advanced past discovery, specialist dispatch is suppressed to avoid premature work.
Council State Pipeline — Real-time council badges show agent handoffs, stage transitions, and blockers as they happen during tool execution.
Supported AI Tools
| Tool | Integration | Setup | |------|-------------|-------| | Claude Code | MCP Server + Plugin | Guide | | Cursor | MCP Server | Guide | | GitHub Copilot / Codex | MCP Server | Guide | | Antigravity (Gemini) | MCP Server | Guide | | Amazon Q | MCP Server | Guide | | Kiro | MCP Server | Guide | | Windsurf | MCP Server | Guide | | Aider | MCP Server | Guide | | OpenCode | MCP Server | Guide |
How It Works
Codingbuddy enforces a quality-driven development cycle:
PLAN ACT EVAL
┌──────────┐ ┌──────────┐ ┌──────────────┐
│ Architect │ │Developer │ │ Code Review │
│ designs │───────▶ │implements│───────▶ │ + Parallel │
│ approach │ │ with TDD │ │ Specialists │
└──────────┘ └──────────┘ └──────┬───────┘
│
┌─────────┴─────────┐
│ │
Critical > 0? Critical = 0
High > 0? High = 0
│ │
▼ ▼
Back to PLAN Ship with
confidence
AUTO mode runs the full cycle autonomously:
AUTO: Implement JWT authentication with refresh tokens
→ Plans architecture with security requirements
→ Implements with TDD
→ Reviews: security, performance, accessibility, code quality
→ Iterates until production-ready
Impact Telemetry
Codingbuddy tracks what its agents do during your session and generates a summary at the end.
What It Tracks
| Event | Description | |-------|-------------| | Mode transitions | PLAN/ACT/EVAL workflow progression | | Agents dispatched | Which specialists were activated and when | | Issues prevented | Problems caught before reaching production | | Checklists generated | Domain-specific quality gates applied | | Context decisions | Architectural decisions persisted across sessions | | Rules matched | Project-specific rules enforced during the session |
How It Works
- Every MCP tool call logs impact events to the session
- Events are categorized by domain (security, accessibility, performance, quality) and severity
- At session end,
get_session_impactgenerates the summary report
No configuration needed. Impact telemetry is always on.
Agents
37 specialist agents organized in a 3-tier system.
Mode Agents (4)
Orchestrate the development workflow.
| Agent | Role | |-------|------| | Plan Mode | Design architecture and test strategy | | Act Mode | Execute implementation with TDD | | Eval Mode | Multi-specialist code review | | Auto Mode | Autonomous PLAN → ACT → EVAL until quality met |
Primary Agents (18)
Core implementation and review roles.
| Agent | Focus | |-------|-------| | Solution Architect | High-level system design | | Technical Planner | Implementation planning with TDD tasks | | Frontend Developer | React/Next.js, Server Components, accessibility | | Backend Developer | Node.js, Python, Go, Java — Clean Architecture | | Mobile Developer | React Native, Flutter, iOS, Android | | Data Engineer | Schema design, migrations, query optimization | | Data Scientist | EDA, statistical modeling, ML, Jupyter | | Systems Developer | Rust, C/C++, FFI, embedded, low-level performance | | Code Reviewer | Multi-dimensional quality assessment | | Test Engineer | TDD cycle, coverage, all test types | | Security Engineer | Auth, encryption, vulnerability remediation | | Software Engineer | General-purpose, any language (fallback) | | DevOps Engineer | Docker, monitoring, deployment | | Platform Engineer | IaC, Kubernetes, multi-cloud, GitOps | | Tooling Engineer | Build tools, project configuration | | Agent Architect | AI agent design and validation | | AI/ML Engineer | LLM integration, RAG, prompt engineering | | UI/UX Designer | Visual hierarchy, interaction patterns, UX laws |
Specialist Agents (13)
Domain experts dispatched in parallel during EVAL.
| Agent | Domain | |-------|--------| | Architecture | Layer boundaries, dependency direction, SOLID | | Test Strategy | TDD vs test-after, coverage planning | | Security | OWASP, auth/authz, XSS/CSRF | | Accessibility | WCAG 2.1 AA, ARIA, keyboard navigation | | Performance | Core Web Vitals, bundle size, rendering | | Code Quality | Complexity analysis, DRY, design patterns | | SEO | Metadata, JSON-LD, Open Graph | | i18n | Translation keys, RTL, locale formatting | | Integration | API patterns, OAuth, circuit breakers | | Event Architecture | Event Sourcing, CQRS, Saga, message queues | | Documentation | JSDoc, code comments, API docs | | Observability | OpenTelemetry, tracing, SLI/SLO | | Migration | Strangler Fig, zero-downtime migrations |
Utility Agents (2)
| Agent | Purpose | |-------|---------| | Parallel Orchestrator | Multi-issue parallel execution with file-overlap validation | | Plan Reviewer | Plan quality and feasibility checks |
Built-in Skills
Reusable workflows that enforce consistent development practices.
| Skill | Description |
|-------|-------------|
| ship | Run CI checks, create branch, commit, push, and PR |
| retrospective | Analyze session archives for patterns and improvements |
| test-driven-development | Red → Green → Refactor cycle enforcement |
| systematic-debugging | Root cause analysis before proposing fixes |
| security-audit | OWASP Top 10 review, secrets scanning |
| performance-optimization | Profiling-first optimization workflow |
| refactoring | Tidy First principles with test safety |
| brainstorming | Explore intent and requirements before building |
Configuration
Create codingbuddy.config.json in your project root:
{
"language": "en",
"verb
Truncated for display — read the full file on GitHub.
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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.
