Software Development
Prompt Regression Suite Builder
Prompt Regression Suite Builder turns ai engineering material into an implementation scaffold with a concrete prompt tool-contract boundary check, regression prompt or evaluation failure mode, and suite agent implementation acceptance test. It is built for teams that need a usable draft artifact, not a broad summary with a familiar title. The skill asks for agent workflow, prompt, tool, or eval artifact, expected behavior and failure examples, and model, tool-call, and approval constraints up front, then organizes the output around prompt, regression, suite, engineering, and software. It is delivered with adapters for Claude Code, Codex, OpenClaw, and Antigravity so teams can use the same workflow across their preferred agent environment. Prompt Regression Suite Builder is scoped to the AI Engineering workflow and is distinct from adjacent catalog skills by producing this specific deliverable rather than a broad summary.
One-Time Purchase
$19.99
Prompt Regression Suite Builder — Sample Brief
Headline
Builds an agent-engineering review artifact for prompt regression suite builder work, turning agent workflow, prompt, tool, or eval artifact, expected behavior and failure examples, and model, tool-call, and approval constraints into prompt tool-contract boundary check, regression prompt or evaluation failure mode, and suite agent implementation acceptance test. In this example, Northbeam Analytics needs a reviewer-ready implementation scaffold built from supplied notes, constraints, and approval context. The output is a concrete implementation scaffold: source evidence, reviewer checks, and the owner decision that determines whether the work is ready.
Evidence Packet
| Input | Example | Status |
|---|---|---|
| agent workflow, prompt, tool, or eval artifact | Northbeam Analytics needs a reviewer-ready implementation scaffold built from supplied notes, constraints, and approval context. | Provided |
| expected behavior and failure examples | Three representative examples from the current workflow | Reviewed |
| model, tool-call, and approval constraints | Approval threshold and final reviewer | Confirm |
| desired review, regression, or implementation target | AI Engineering owner and downstream audience | Ready |
Prompt Evidence Model
| Field | What must be captured | Review consequence |
|---|---|---|
| Prompt signal | Anchor the result in prompt, regression, and suite evidence from the supplied material. | Treat as draft until prompt tool-contract boundary check is source-backed. |
| Prompt Tool Contract Boundary Check | Separate Prompt signal, Regression judgment, and Suite action before drafting. | Escalate when prompt evidence is missing or contradicted. |
| Regression Prompt Or Evaluation Failure Mode | Name the review question that makes Prompt Regression Suite Builder different from the rest of AI Engineering. | Reviewer resolves suite agent implementation acceptance test before final use. |
Prompt Acceptance Checks
| Check | Required evidence | Review action |
|---|---|---|
| Prompt depth | Anchor the result in prompt, regression, and suite evidence from the supplied material. | Keep, revise, or ask a targeted follow-up |
| Regression boundary | Separate Prompt signal, Regression judgment, and Suite action before drafting. | Confirm this is not a renamed adjacent bundle skill |
| Suite handoff | Name the review question that makes Prompt Regression Suite Builder different from the rest of AI Engineering. | Assign the owner decision before final use |
Prompt Regression Suite Builder Work Map
Prompt Regression Suite Builder focus areas
Draft Implementation Scaffold
| Prompt signal | Prompt Tool Contract Boundary Check | Regression Prompt Or Evaluation Failure Mode | Suite Agent Implementation Acceptance Test | Regression decision |
|---|---|---|---|---|
| Prompt | prompt tool-contract boundary check | regression prompt or evaluation failure mode | suite agent implementation acceptance test | Keep if source-backed |
| Regression | prompt tool-contract boundary check | regression prompt or evaluation failure mode | Prompt evidence is missing or contradicted. | Revise missing evidence |
| Suite | Anchor the result in prompt, regression, and suite evidence from the supplied material. | Separate Prompt signal, Regression judgment, and Suite action before drafting. | suite agent implementation acceptance test | Assign owner decision |
Use now
Prompt Regression Suite Builder
Best when ai engineering work needs a concrete implementation scaffold.
Hold back
Missing evidence
Best deferred when a key input would change the artifact.
Reviewer note
The output is structured so an operator can validate the draft, edit the artifact, and hand it to the next owner without re-reading the entire packet. The final answer should label unknowns plainly and avoid inventing metrics, policies, quotes, or commitments.
This sample illustrates the skill's output format. Companies referenced are fictional and used recurringly across sample outputs.
View full sample →
All sales final. No refunds on digital products.
Includes support for Claude Code, Codex, OpenClaw, and Google Antigravity in the same license.
Also in AI Engineering
Bundle price: $55. Compare this skill with the full workflow bundle or Pro access.
Best for
AI engineers building a regression suite for prompts and agent behavior — boundary checks, known failure modes, and acceptance tests to catch drift. Most useful when a prompt change can silently degrade behavior and you need a tripwire before it ships.
Not ideal for
One-off prompt experiments not worth a harness, and model-quality benchmarking, which needs curated eval data. It builds the regression net — an engineer still curates the cases and judges the outputs.
Included in this purchase
- Claude Code, Codex, OpenClaw, and Google Antigravity skill files.
- Setup guidance for the right adapter in your workspace.
- One-time license for the purchased skill version.
Setup
Plan for a short setup in the repository or workspace where the skill will run. Some coding familiarity helps for implementation-heavy outputs.
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Future Updates
This purchase includes the current version of the skill. If you want future adapter updates — meaning compatibility and packaging updates as supported platforms evolve — plus new catalog additions included automatically, upgrade to Pro.