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Skill

tlc-spec-driven

github · 0.0.0 · Downloads 6.2K · Heat 42.1

Source & License

Author: tech-leads-club
License: MIT License

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Introduction

Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Writes testable requirements in EARS notation, atomic tasks, atomic Conventional Commits, and requirement traceability. Ships deterministic Python validation scripts so structural gates are enforced by code, not memory. Features an independent Verifier (author != verifier, evidence-or-zero), a discrimination sensor, a decision log (STATE.md), a test-coverage matrix, and a self-improving lessons layer. Stack-agnostic and tool-agnostic. Use when (1) planning features, (2) implementing with verification and atomic commits, (3) validating an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "veri

Resource Information

Author:tech-leads-club
Category:Rag Knowledge
Language:en
Version:0.0.0
Auth: No auth
License:MIT
Pricing: Marked free
Publisher:tech-leads-club

License information is collected from official sources and may be outdated or missing. Refer to the LICENSE file in the original repository before commercial use.

Tags
知识库 RAG / tlc-spec-driven

Features

  • Critical Rules (read before acting)
  • Auto-Sizing: The Core Principle
  • .specs Structure
  • Workflow
  • Context Loading Strategy
  • Sub-Agent Delegation
  • Commands
  • Knowledge Verification Chain
Use cases
Agent auto-skips when scope doesn't need itSpecify and Execute are always required - you always need to know WHAT and DO itTasks is skipped when there are ≤3 obvious steps (they become implicit in Executspec.md (when working on a specific feature)context.md (when designing or implementing from user decisions)design.md (when implementing from design)

Supported platforms

Claude Code

Information boundary

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