compound-engineering-feat-python

Full autonomous engineering workflow

Report a bug in the compound-engineering-feat-python plugin

Reproduce and investigate a bug using logs, console inspection, and browser screenshots

Resolve all TODO comments using parallel processing

Resolve all pending CLI todos using parallel processing

Full autonomous engineering workflow using swarm mode for parallel execution

Run browser tests on pages affected by current PR or branch

Triage and categorize findings for the CLI todo system

Explore requirements and approaches through collaborative dialogue before planning implementation

Document a recently solved problem to compound your team's knowledge

Transform feature descriptions into well-structured project plans following conventions

Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees

Execute work plans efficiently while maintaining quality and finishing features

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

Record a video walkthrough of a feature and add it to the PR description

Create a new custom slash command following conventions and best practices

Fix incorrect SKILL.md files when a skill has wrong instructions or outdated API references

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.

Performs archaeological analysis of git history to trace code evolution, identify contributors, and understand why code patterns exist. Use when you need historical context for code changes.

Searches docs/solutions/ for relevant past solutions by frontmatter metadata. Use before implementing features or fixing problems to surface institutional knowledge and prevent repeated mistakes.

Conducts thorough research on repository structure, documentation, conventions, and implementation patterns. Use when onboarding to a new codebase or understanding project conventions.

Reviews code to ensure agent-native parity — any action a user can take, an agent can also take. Use after adding UI features, agent tools, or system prompts.

Analyzes code changes from an architectural perspective for pattern compliance and design integrity. Use when reviewing PRs, adding services, or evaluating structural refactors.

Final review pass to ensure code is as simple and minimal as possible. Use after implementation is complete to identify YAGNI violations and simplification opportunities.

Reviews database migrations, data models, and persistent data code for safety. Use when checking migration safety, data constraints, transaction boundaries, or privacy compliance.

Validates data migrations, backfills, and production data transformations against reality. Use when PRs involve ID mappings, column renames, enum conversions, or schema changes.

Produces Go/No-Go deployment checklists with SQL verification queries, rollback procedures, and monitoring plans. Use when PRs touch production data, migrations, or risky data changes.

Reviews Celery task design for idempotency, error handling, queue routing, serialization safety, and transaction awareness. Use when reviewing Celery tasks, beat schedules, or background job implementations in Django projects.

Reviews Django REST Framework API design including serializers, viewsets, permissions, pagination, throttling, and authentication. Use when reviewing DRF-based API code for correctness, performance, and REST best practices.

Reviews Django migration safety including reversibility, lock impact, data loss prevention, large table handling, and zero-downtime deployment patterns. Use when reviewing migration files or schema changes in Django projects.

Reviews Django core patterns including models, views, URLs, forms, admin, signals, middleware, and Django Ninja APIs. Use when reviewing Django application code for correctness, maintainability, and adherence to framework conventions.

Reviews FastAPI application architecture for route design, dependency injection, async correctness, error handling, and OpenAPI compliance. Use when reviewing FastAPI endpoints or application structure.

Reviews SQLAlchemy integration in FastAPI applications for session lifecycle, model design, query patterns, and Alembic migrations. Use when reviewing database layer code in FastAPI projects.

Analyzes code for design patterns, anti-patterns, naming conventions, and duplication. Use when checking codebase consistency or verifying new code follows established patterns.

Analyzes code for performance bottlenecks, algorithmic complexity, database queries, memory usage, and scalability. Use after implementing features or when performance concerns arise.

Reviews spatial data handling for SRID consistency, geometry/geography correctness, spatial indexing, and GeoDjango patterns. Use when reviewing code that stores, queries, or serializes geographic data.

Reviews database queries, schema design, migrations, and ORM usage for PostgreSQL performance and safety. Use when reviewing code that interacts with PostgreSQL or when migrations are created.

Reviews Python test quality for structure, fixtures, isolation, assertions, coverage, and mocking discipline. Use after writing or modifying tests, or when test failures suggest structural problems.

Reviews Python code for PEP 8 compliance and project-specific style conventions including imports, naming, formatting, and modern syntax. Use when reviewing Python code style or enforcing project standards.

Reviews Python code for type annotation completeness, modern typing syntax, Pydantic model design, and type safety patterns. Use when auditing type hints, designing data models, or enforcing type correctness.

Detects unrelated migration files in PRs by cross-referencing against PR scope. Use when reviewing PRs with database migrations.

Performs security audits for vulnerabilities, input validation, auth/authz, hardcoded secrets, and OWASP compliance. Use when reviewing code for security issues or before deployment.

Systematically reproduces and validates bug reports to confirm whether reported behavior is an actual bug. Use when you receive a bug report or issue that needs verification.

Addresses PR review comments by implementing requested changes and reporting resolutions. Use when code review feedback needs to be resolved with code changes.

Runs ruff and mypy to lint, format-check, and type-check Python code. Use when preparing to push Python code or when code quality checks are needed.

Analyzes specifications and feature descriptions for user flow completeness and gap identification. Use when a spec, plan, or feature description needs flow analysis, edge case discovery, or requirements validation.

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".

FastAPI core patterns for routes, dependency injection, async, auth, and OpenAPI. Use when working on projects with fastapi in their dependencies.

Async SQLAlchemy 2.0 patterns with FastAPI and Alembic migration management. Use when working on FastAPI projects with sqlalchemy in their dependencies.

This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.

This skill should be used when creating distinctive, production-grade frontend interfaces with high design quality. It applies when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

This skill manages Git worktrees for isolated parallel development. It handles creating, listing, switching, and cleaning up worktrees with a simple interactive interface, following KISS principles.

This skill should be used when orchestrating multi-agent swarms using Claude Code's TeammateTool and Task system. It applies when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

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.

This skill should be used before implementing features, building components, or making changes. It guides exploring user intent, approaches, and design decisions before planning. Triggers on "let's brainstorm", "help me think through", "what should we build", "explore approaches", ambiguous feature requests, or when the user's request has multiple valid interpretations that need clarification.

Analyze changes, group into logical units, and create conventional commits with gitmoji. Use when committing code changes.

Capture solved problems as categorized documentation with YAML frontmatter for fast lookup

Expert guidance for creating Claude Code skills and slash commands. Use when working with SKILL.md files, authoring new skills, improving existing skills, creating slash commands, or understanding skill structure and best practices.

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.

Django core patterns for models, views, admin, signals, middleware, and Django Ninja APIs. Use when working on projects with django in their dependencies.

This skill should be used to refine brainstorm or plan documents before proceeding to the next workflow step. It applies when a brainstorm or plan document exists and the user wants to improve it.

PostGIS spatial database patterns covering geometry types, spatial queries, indexing, GeoDjango, and GeoAlchemy2. Use when working on projects with django.contrib.gis or geoalchemy2 in their dependencies.

PostgreSQL optimization patterns for schema design, indexing, query tuning, and monitoring. Use when working on projects with psycopg2, asyncpg, or psycopg in their dependencies.

Pytest patterns for fixtures, parametrize, mocking, async testing, and factory_boy. Use when writing or reviewing Python tests, setting up test infrastructure, or debugging test failures.

Enforce Python code style conventions including PEP 8 overrides, modern syntax, and Pythonic patterns. Use when writing, reviewing, or refactoring Python code to ensure consistency with project standards.

Apply modern Python 3.10+ type annotations and Pydantic v2 patterns. Use when writing type-safe Python code, designing data models, adding type hints to existing code, or integrating Pydantic with frameworks like FastAPI or Django Ninja.

Upload, sync, and manage files across cloud storage providers using rclone. Use when uploading files (images, videos, documents) to S3, Cloudflare R2, Backblaze B2, Google Drive, Dropbox, or any S3-compatible storage. Triggers on "upload to S3", "sync to cloud", "rclone", "backup files", "upload video/image to bucket", or requests to transfer files to remote storage.

Resolve all PR comments using parallel processing. Use when addressing PR review feedback, resolving review threads, or batch-fixing PR comments.

Configure which review agents run for your project. Auto-detects Python stack and writes compound-engineering.local.md.

1 hook across 1 event