Master AI Task Success with Acceptance Design Skill

Master AI Task Success with Acceptance Design Skill

The Acceptance Design Skill is a structured approach to defining executable acceptance criteria for bounded tasks before their initiation or dispatch. Utilized when drafting worker briefs, selecting success checks, or repairing acceptance contracts that fail to test intended outcomes, this skill facilitates operational efficiency by ensuring clear, testable standards are established from the outset.

What this skill does

• Defines the experiment by naming the outcome, affected boundary, and scope of the task. It checks relevant commands, loaders, artifacts, or user flows involved, and identifies intentional exclusions from the test.
• Specifies the target host or platform, runner, dependencies, permissions, and inputs required for task execution, ensuring necessary source files accompany the brief.
• Records the precise command, expected observable results, and evidence location. The tool tests for successful execution on the intended environment before task dispatch, advocating for repository scripts to avoid command fragility.
• Scopes all planned writes, including tests and generated artifacts, ensuring predecessors are readily available in the delivered base.

Who it is for

This skill makes an ideal fit for developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex. These roles benefit from a clearly defined acceptance process that aligns with their operational requirements.

Use cases

• Drafting comprehensive and detail-oriented worker briefs that establish testable acceptance criteria.
• Enhancing the consistency of task dispatches by pre-defining success checks that ensure reliability in outcome observation.
• Repairing acceptance contracts by aligning review standards with implementation contracts to avoid discrepancies and facilitate smoother task execution.

Technical details

The Acceptance Design Skill incorporates agent-evaluation, aiapplication, and acceptance-design capabilities tailored for AI-based coding platforms like Claude Code, Cursor, and Codex. This ensures compatibility and integration with existing development environments to support streamlined workflow management.

Source & Licence

This package is built on open-source work published by Grit-77 (Grit-77/done-is-a-claim) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.