By weorbitant
Python-specialized development tools with microservice support, built on superpowers. 32 agents, 18 commands, 21 skills, 1 MCP server.
Run comprehensive agent-native architecture review with scored principles
Create engaging changelogs for recent merges to main branch
Create or edit Claude Code skills with expert guidance on structure and best practices
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
Validate and prepare documentation for GitHub Pages deployment
Visually compares live UI implementation against Figma designs and provides detailed feedback on discrepancies. Use after writing or modifying HTML/CSS/React components to verify design fidelity.
Iteratively refines UI design through N screenshot-analyze-improve cycles. Use PROACTIVELY when design changes aren't coming together after 1-2 attempts, or when user requests iterative refinement.
Detects and fixes visual differences between a web implementation and its Figma design. Use iteratively when syncing implementation to match Figma specs.
Researches and synthesizes external best practices, documentation, and examples for any technology or framework. Use when you need industry standards, community conventions, or implementation guidance.
Gathers comprehensive documentation and best practices for frameworks, libraries, or dependencies. Use when you need official docs, version-specific constraints, or implementation patterns.
Browser automation using Vercel's agent-browser CLI. Use when you need to interact with web pages, fill forms, take screenshots, or scrape data. Alternative to Playwright MCP - uses Bash commands with ref-based element selection. Triggers on "browse website", "fill form", "click button", "take screenshot", "scrape page", "web automation".
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
Analyze changes, group into logical units, and create conventional commits with gitmoji. Use when committing code changes.
Implement async task queues with Celery and real-time WebSocket support with Django Channels. Use when a Django project includes celery or channels in its dependencies, or when implementing background processing, periodic tasks, WebSocket connections, or real-time features.
Django REST Framework patterns for serializers, viewsets, routers, permissions, and authentication. Use when building or reviewing projects with djangorestframework in dependencies.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax
Runs pre-commands
Contains inline bash commands via ! syntax
A Claude Code plugin that supercharges Python development with 32 specialized agents, 18 commands, 21 skills, and an MCP server — built on Anthropic's superpowers plugin for workflow primitives. Specialized for Django, FastAPI, pytest, Pydantic, PostgreSQL, and PostGIS projects, with first-class support for multi-service monorepos.
Fork of Compound Engineering Plugin by Kieran Klaassen, fully rewritten for the Python ecosystem.
Instead of generic AI assistance, this plugin gives Claude deep knowledge of Python frameworks and enforces a structured engineering workflow:
/workflows:brainstorm → /workflows:plan → /workflows:work → /workflows:review
Each step loads relevant skills (Django patterns, pytest conventions, PostgreSQL optimization...), spawns specialized review agents, and enforces quality gates — tests must pass, linting must be clean, pre-commit hooks must succeed — before anything ships.
This plugin requires the superpowers plugin (provides generic workflow primitives).
/plugin marketplace add anthropics/claude-plugins-official
/plugin install superpowers@claude-plugins-official
This plugin is distributed as its own Claude Code marketplace. Add the repo, then install:
/plugin marketplace add weorbitant/compound-engineering-feat-python-plugin
/plugin install compound-engineering-feat-python@compound-engineering-feat-python
To install from a local clone instead:
/plugin marketplace add /path/to/compound-engineering-feat-python-plugin
/plugin install compound-engineering-feat-python@compound-engineering-feat-python
Checked automatically on session start — you'll see warnings for anything missing:
| Tool | Used By | Install |
|---|---|---|
agent-browser | /test-browser, /feature-video, design agents, bug reproduction | npm install -g agent-browser && agent-browser install |
rclone | /feature-video (cloud uploads) | rclone.org/install |
# Brainstorm a feature idea
/workflows:brainstorm add rate limiting to the payment API
# Plan the implementation
/workflows:plan add rate limiting with Redis sliding window
# Execute the plan
/workflows:work docs/superpowers/plans/2026-04-01-rate-limiting.md
# Review the changes
/workflows:review
Brainstorm specs land at docs/superpowers/specs/; plans at docs/superpowers/plans/.
Commands use workflows: prefix to avoid collisions with Claude Code built-ins (/plan, /review).
| Command | Purpose |
|---|---|
/workflows:brainstorm | Explore requirements before planning (delegates to superpowers:brainstorming) |
/workflows:plan | Generate implementation plans (delegates to superpowers:writing-plans) |
/workflows:work | Execute a plan with Python quality gates (delegates to superpowers:executing-plans) |
/workflows:review | Multi-agent Python code review (delegates to superpowers:requesting-code-review) |
Each workflow command:
compound-engineering.local.md configuration| Command | Description |
|---|---|
/deepen-plan | Enrich a plan with parallel research agents for each section |
/changelog | Generate changelogs from recent merges |
/create-agent-skill | Guided skill creation |
/generate_command | Generate new slash commands |
/reproduce-bug | Reproduce bugs using logs and browser automation |
/resolve_parallel | Resolve TODO/FIXME comments in parallel |
/resolve_todo_parallel | Resolve todos from plan files in parallel |
/triage | Triage and prioritize issues |
/test-browser | Browser tests on PR-affected pages |
/agent-native-audit | Architecture review against 8 agent-native principles |
/deploy-docs | Deploy documentation |
/feature-video | Record video walkthroughs and attach to PR |
/report-bug | Report a plugin bug |
/heal-skill | Fix skill documentation issues |
These commands were removed in v3.0.0; they remain as shims that print a migration message and will be deleted in v4.0.0:
/workflows:compound — knowledge-capture pattern dropped; no replacement./lfg, /slfg — autonomous pipelines dropped; orchestrate stages directly.See CHANGELOG.md v3.0.0 for migration details.
Agents run as sub-processes during workflows. They are grouped by specialization.
Agents use a 3-tier model strategy to optimize cost without sacrificing quality:
Marketing team skills for content creation and review
Guide for authoring Claude Code skills following Anthropic best practices. Covers skill structure, SKILL.md templates, testing, and distribution.
AI-powered roadmap refinement: analyze tickets, review sprints, extract user stories, search documentation, analyze designs, create ADRs, and communicate with your team. Supports Jira, Linear, GitHub Issues, Figma, Confluence, Notion, Miro, Slack, and more via adapters.
Technology-agnostic infrastructure operations: service status, logs, deployments, database queries, and message queue management. Supports Kubernetes, Docker Compose, ECS, RabbitMQ, Azure Service Bus, PostgreSQL, MySQL, and more via adapters.
npx claudepluginhub weorbitant/compound-engineering-feat-python-plugin --plugin compound-engineering-feat-pythonPython-specific validation, patterns, and expert agents
Python technical specialists for Django, FastAPI, FastMCP, Celery, and testing
AI-powered development tools for code review, research, design, and workflow automation.
Python development capabilities
Compound Engineering workflow: PRD-driven sprints, isolated worktrees, hook-enforced safety, automated learning. Skills become /vini-workflow:plan, /vini-workflow:compound, etc.
PROJECT.md-first autonomous development with hybrid auto-fix documentation. 8-agent pipeline, auto-orchestration, docs auto-update on commit (true vibe coding). Knowledge base system with 90% faster repeat research. Strict mode enforces SDLC best practices automatically. Works for ANY Python/JavaScript/TypeScript/Go project.