KS
Killer-Skills

project-development-playbook — Categories.community python3, templates, vibe-coding

v1.0.0
GitHub

About this Skill

Perfect for Python-based AI Agents needing a standardized project development workflow with tools like uv, ruff, and pytest. self use Python Template

# Core Topics

Tendo33 Tendo33
[0]
[0]
Updated: 2/24/2026

Quality Score

Top 5%
28
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add Tendo33/python-template

Agent Capability Analysis

The project-development-playbook MCP Server by Tendo33 is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for python3, templates, vibe-coding.

Ideal Agent Persona

Perfect for Python-based AI Agents needing a standardized project development workflow with tools like uv, ruff, and pytest.

Core Value

Empowers agents to streamline backend and frontend development with a consistent delivery workflow, utilizing Python 3.10+, uv for dependencies, ruff for linting and formatting, and pytest for testing, ensuring minimal changes and thorough verification.

Capabilities Granted for project-development-playbook MCP Server

Automating backend and frontend task management
Implementing consistent project conventions across teams
Verifying code changes with pytest and reporting updates

! Prerequisites & Limits

  • Requires Python 3.10+
  • Limited to projects using uv, ruff, and pytest
  • Backend defaults may not be suitable for all project types
Project
SKILL.md
1.0 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8
SKILL.md
Readonly

Project Development Playbook

Goal

Apply one consistent delivery workflow across backend and frontend tasks.

Workflow

  1. Confirm scope and assumptions.
  2. Choose implementation path (backend, frontend, full stack).
  3. Implement minimal changes aligned with project conventions.
  4. Run relevant verification commands.
  5. Report what changed and what was verified.

Backend Defaults

  • Python 3.10+
  • uv for dependencies and execution
  • ruff for lint/format
  • pytest for tests

For deeper backend architecture rules, use backend-engineering-playbook.

Frontend Defaults

Unless user specifies otherwise, use React + TypeScript + Vite + Tailwind.

For UI/UX work, start with:

bash
1python3 .codex/skills/ui-ux-pro-max/scripts/search.py "<query>" --design-system -p "<project-name>"

Verification Checklist

Run what applies:

bash
1uv run ruff check . 2uv run ruff format --check . 3uv run pytest 4npm --prefix frontend run lint 5npm --prefix frontend run typecheck 6npm --prefix frontend run test 7npm --prefix frontend run build

Related Skills

Looking for an alternative to project-development-playbook or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication