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engineering-execution-hub

Orchestrate SDLC engineering user stories with checkpointed, audited dispatch execution.

Updated Aug 27, 2026
Search Tags:#agent orchestration#task decomposition#checkpointing#sdlc execution#dispatch logging#acceptance validation
One-click install
npx skills add https://github.com/gleeb/ai-registry --skill engineering-execution-hub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: engineering-execution-hub
Source: https://github.com/gleeb/ai-registry/tree/main/systems/sdlc/skills/engineering-execution-hub
Command: npx skills add https://github.com/gleeb/ai-registry --skill engineering-execution-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It eliminates ad-hoc, inconsistent execution of SDLC engineering by providing a single hub that coordinates readiness, decomposition, per-task implement-review-verify loops, integration, acceptance validation, documentation integration, and user acceptance.

Core Features & Use Cases

  • End-to-end implementation lifecycle orchestration: Manages the full seven-phase flow for the sdlc-engineering mode using dispatchable sub-agents and structured contracts.
  • Checkpoint-driven reliable resume: Integrates with the sdlc-checkpoint skill to enforce write-ahead state updates and audit-ready dispatch logging.
  • Iteration-limited dispatch with escalation hooks: Enforces review/QA/semantic review/acceptance revalidation caps and defines escalation paths when gates fail.
  • Evidence-indexed phase procedures: Points to phase-specific reference documents (readiness, task decomposition, dev loop, integration, acceptance, and doc/user acceptance protocols).

Quick Start

Use engineering-execution-hub whenever you have an SDLC engineering plan for a user story and need the hub to run the complete lifecycle from readiness through user acceptance with checkpointed, logged dispatches.

Frequently Asked Questions about engineering-execution-hub

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

FAQPage Schema
How do I orchestrate end-to-end SDLC user story delivery with checkpointing?▼

Orchestrate SDLC user story delivery by coordinating readiness, decomposition, implement-review-verify loops, integration, and acceptance validation through a single hub with write-ahead state updates and audit-ready dispatch logging for reliable resume.

What is the best way to decompose engineering tasks for agent dispatch?▼

Task decomposition for agent dispatch involves breaking down an SDLC engineering plan into structured, bounded iterations with specific reference documents for readiness, dev loop, integration, and acceptance protocols to ensure reliable execution.

How does checkpoint-driven reliable resume work for SDLC execution?▼

Checkpoint-driven reliable resume enforces strict write-ahead state updates and audit-ready dispatch logging during SDLC execution, allowing the implementation lifecycle to pause and resume across its seven phases without losing progress.

When do I need bounded iteration and escalation hooks for engineering review?▼

You need bounded iteration and escalation hooks when review, QA, semantic review, or acceptance revalidation gates repeatedly fail, triggering defined escalation paths instead of infinite loops during the SDLC implementation lifecycle.

Can I use this execution hub without a pre-existing plan artifact?▼

No, this execution hub applies to SDLC-engineering mode executions where plan artifacts already exist, requiring them as input to manage the complete lifecycle from readiness through user acceptance with checkpointed, logged dispatches.

Why does SDLC engineering execution fail without phase-specific reference loading?▼

SDLC engineering execution fails without phase-specific reference loading because evidence-indexed procedures for readiness, task decomposition, integration, and acceptance are required to properly structure dispatchable sub-agents and validate gates.

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