work-methodology

Coordinates engineering workflows with bounded task DAGs and evidence-based execution checks.

1|Updated Jul 26, 2026
One-click install
npx skills add https://github.com/2718labs/2718lab-devkit --skill work-methodology
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: work-methodology
Source: https://github.com/2718labs/2718lab-devkit/tree/main/skills/work-methodology
Command: npx skills add https://github.com/2718labs/2718lab-devkit --skill work-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the complexity of managing multi-file engineering tasks, ensuring that agents maintain strict boundaries, grounding, and verifiable evidence without scope creep or context overload.

Core Features & Use Cases

  • Bounded Orchestration: Uses SQLite-backed task DAGs and leases to manage multi-agent workflows and lifecycle states.
  • Evidence-Based Execution: Enforces a strict requirement for real execution evidence before declaring tasks complete, preventing hallucinated progress.
  • Ultra Fast Lane: Provides a deterministic, model-free compiler for inert dispatch descriptors, ensuring safe and efficient task routing based on host capability attestations.

Quick Start

Use the work-methodology skill to initialize a new engineering task by reading the orchestration runtime references and registering your first work package.

Frequently Asked Questions about work-methodology

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

FAQPage Schema
How do I coordinate multi-agent engineering workflows with strict task boundaries?

Multi-agent engineering workflows are coordinated using SQLite-backed task DAGs and leases to enforce strict task boundaries, manage lifecycle states, and prevent context overload. This ensures agents maintain grounding without scope creep.

How does evidence-based execution prevent hallucinated progress in automation workflows?

Evidence-based execution prevents hallucinated progress by enforcing a strict requirement for real execution evidence before declaring tasks complete. This mechanism ensures that workflow automation only advances upon verifiable proof of prior task completion.

Can I use this orchestration approach for high-risk system modifications requiring safety-gated dispatch?

Yes, this orchestration approach is explicitly designed for high-risk system modifications requiring safety-gated dispatch. It uses deterministic execution planning and host-attested capability routing to ensure safe task execution.

What is the ultra fast lane for deterministic task routing in MCP tool integration?

The ultra fast lane is a deterministic, model-free compiler for inert dispatch descriptors. It ensures safe and efficient task routing based on host capability attestations, satisfying local-first MCP tool integration requirements.

How do I initialize a new engineering task using the work-methodology orchestration runtime?

To initialize a new engineering task, read the orchestration runtime references and register your first work package. This process sets up the durable state management required for complex cross-module implementation.

Do I need SQLite dependencies to manage multi-file engineering tasks and lifecycle states?

The system uses SQLite-backed task DAGs to manage multi-agent workflows and lifecycle states. This local-first dependency provides durable state management to coordinate complex multi-file engineering tasks effectively.