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sprint-contracts

Coordinate machine-verified sprint contracts between generator and evaluator agents.

1|1|Updated Apr 13, 2026
Search Tags:#automation#planning#negotiation#contracts#sprint#tests
One-click install
npx skills add https://github.com/Cheggin/request-for-startups --skill sprint-contracts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sprint-contracts
Source: https://github.com/Cheggin/request-for-startups/tree/main/skills/sprint-contracts
Command: npx skills add https://github.com/Cheggin/request-for-startups --skill sprint-contracts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Formalizes structured, machine-verifiable sprint contracts between generator and evaluator agents to define acceptance criteria before implementation.

Core Features & Use Cases

  • Drafts contract criteria with inputs, outputs, and invariants per criterion.
  • Supports negotiation loops with iterative refinement until agreement.
  • Stores contract history and iteration data for audit and reproducibility.

Quick Start

Draft and negotiate a machine-verifiable sprint contract between generator and evaluator teams before implementing a feature.

Frequently Asked Questions about sprint-contracts

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

FAQPage Schema
How do I define machine-verifiable sprint contracts for autonomous agents?▼

Sprint contracts define feature acceptance criteria by specifying inputs, outputs, and invariants. This formalizes agreements between generator and evaluator agents before implementation begins in autonomous development workflows.

What is a sprint contract negotiation loop in agent-driven development?▼

A sprint contract negotiation loop is an iterative refinement process between generator and evaluator agents. They cycle through contract criteria until both reach a mutual agreement on the formalized feature acceptance standards.

How do I generate test stubs from sprint acceptance criteria?▼

You can auto-generate test stubs directly from specified contract criteria. The system uses the defined inputs, outputs, and invariants to create the baseline tests required for machine verification during the sprint.

Can I persist and version sprint contract history for audit reproducibility?▼

Yes, the system persists iteration data and contract history in the .harness/contracts directory. This provides full versioning support to ensure auditability and reproducibility across feature sprints.

Do I need a dedicated environment to track sprint contracts across iterations?▼

You need an autonomous agent-driven development workflow with generator and evaluator agents. The system handles the contract tracking internally, storing iteration history directly within the .harness/contracts directory structure.

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