SDD-TAC Workflow Skill

Enforce project constraints before Scout, Plan, and Build phases in TAC-driven development.

Updated Nov 22, 2025
One-click install
npx skills add https://github.com/rajeshyg/TeluguTutor --skill sdd-tac-workflow-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: SDD-TAC Workflow Skill
Source: https://github.com/rajeshyg/TeluguTutor/tree/main/.claude/skills/sdd-tac-workflow
Command: npx skills add https://github.com/rajeshyg/TeluguTutor --skill sdd-tac-workflow-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes and optimizes the software development process when working with AI agents. It prevents common pitfalls like unconstrained development, code duplication, and lack of clear requirements, ensuring high-quality, maintainable code.

Core Features & Use Cases

  • Spec-Driven Development (SDD): Ensures all code changes start with clear, documented requirements, improving clarity, quality, and testability.
  • Tactical Agentic Coding (TAC): Guides AI through a structured 4-phase workflow (Constraint-Scout-Plan-Build) for systematic and compliant implementation.
  • Use Case: When building a new feature, this Skill ensures the AI agent first checks project constraints, gathers all necessary context, creates a detailed implementation plan, and then builds the feature following established coding standards, reducing errors and rework.

Quick Start

Use the SDD-TAC workflow to develop the 'Grapheme Difficulty Adjustment' feature. Start by checking all project constraints.

Frequently Asked Questions about SDD-TAC Workflow Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent architectural violations when using AI agents for code development?

Spec-Driven Development with TAC workflow enforces project constraints before code generation. The Skill loads constraints, detects duplicates, analyzes affected files, and verifies LOCKED and STOP triggers across phases to block unsafe changes before they're built, ensuring compliance with your architecture rules.

What's the structured process for AI-assisted software development with clear requirements?

The SDD-TAC workflow guides AI through four phases: Constraint-Scout-Plan-Build. It starts by checking project constraints in Phase 0, then proceeds systematically through information gathering, detailed planning, and compliant implementation, reducing errors and rework by ensuring every step follows established standards.

How do I set up constraint verification and decision gating for spec-driven projects?

The Skill performs constraint loading and verification, duplicate detection, and prohibited-action identification as part of Phase 0 before Scout/Plan/Build phases begin. It outputs clear proceed or abort decisions based on constraint compliance, giving you explicit control over whether development advances.

Can I use this workflow to reduce code duplication and maintain coding standards across AI agent tasks?

Yes. By enforcing spec-driven requirements upfront and gating decisions through constraint verification, the workflow prevents duplicate work and ensures all code follows established standards. Each TAC cycle validates against project rules before implementation proceeds.

What's the difference between unstructured AI coding and TAC-driven development?

Unstructured AI coding lacks constraints and clear requirements, leading to duplication and architectural violations. TAC-driven development standardizes the process through documented specs, constraint enforcement, and decision gating at each phase, ensuring higher quality and maintainability.

Do I need existing project constraints defined before starting a spec-driven development project?

Yes. The Skill requires constraints to be established in your project before Phase 0 begins. These constraints are loaded, verified, and checked against proposed changes; without them, the workflow cannot enforce compliance or detect violations.