Prisma guide

How to create skills in Prisma Studio

Turn recurring decisions into reusable instructions so AI creates more consistent apps.

Direct answer

To create skills in Prisma Studio, describe objective, context, rules, examples and trigger keywords, keeping the skill as reusable guidance and not a replacement for project review.

9 minIntermediate
Workspace Skills3 skills ativas

Workspace Skills

top 3 max

CRUD SaaS

workspace
crud, dashboard128 usos

Landing conversao

project
landing, oferta74 usos

LGPD forms

workspace
consentimento22 usos

Filtros reais

enabled

true

scope

project/workspace

trigger_keywords

obrigatorio

Step by step: create skills in Prisma Studio

Create a skill, enable it and use it in a new app.

Skill Editorskill salva

Configurar skill

Nome

CRUD SaaS seguro

Slug

crud-saas-seguro

Escopo

project: imob-crm

Triggers

crud, dashboard, roles

content_md

2000 chars max

## CRUD SaaS seguro

- Use RLS por usuario ou tenant.

- Crie estados vazio, loading e erro.

- Gere tabela, formulario e detalhe.

# aplicado quando o prompt contem trigger

Skill salva e habilitada

1

Choose a recurring pattern

Define the expected result and the context needed before using the module.

2

Write context and rules

Configure the key fields, rules or assets that make the flow traceable.

3

Add keywords

Run a first version and review the output before scaling the process.

4

Test in a real project

Measure the result and turn what worked into a reusable routine.

Fundamentals, context, and decision

Operational goal

To create skills in Prisma Studio, describe objective, context, rules, examples and trigger keywords, keeping the skill as reusable guidance and not a replacement for project review.

Decision rule

Before opening AbstractOS, gather app goal, audience, essential screens, data, integrations, technical constraints, and publishing criteria. Better inputs reduce the chance that AI creates something polished but disconnected from real operations. Configure the flow around one simple hypothesis: prioritize the smallest functional flow that proves value without compromising data, security, or future evolution. Avoid starting with visual details or automations before validating the core intent.

Quality criterion

Review scope, experience, data, integrations, version history, and publishing path. If any of these points are weak, treat the output as a draft and run another iteration before publishing or scaling. Finish by recording brief, version, branch, integration, QA checklist, and deployment target. This turns the learning moment into operational memory and makes auditing, collaboration, and measurement easier later.

Practical application checklist

  • Choose a recurring pattern
  • Write context and rules
  • Add keywords
  • Test in a real project
  • Review result before scaling.
  • Register owner and next action.
  • Validate the input before asking for another AI generation.
  • Compare the result with the original intent.
  • Record the decision, owner, and next review.

Metrics and quality signals

  • main flow tested end to end
  • data and permissions mapped
  • recoverable version before publishing
  • Time to usable preview
  • Successful publish or integration
  • Errors found before production
  • Iterations needed after review

Module field guide

When to use it

How to create skills in Prisma Studio

Use this module when the flow needs to become an operational routine, not just a one-off action. The goal is to leave with a usable artifact, a clear decision, and a recorded next step.

Inputs

Choose a recurring pattern

Before opening AbstractOS, gather app goal, audience, essential screens, data, integrations, technical constraints, and publishing criteria. Better inputs reduce the chance that AI creates something polished but disconnected from real operations.

Setup

Write context and rules

Configure the flow around one simple hypothesis: prioritize the smallest functional flow that proves value without compromising data, security, or future evolution. Avoid starting with visual details or automations before validating the core intent.

Review

Add keywords

Review scope, experience, data, integrations, version history, and publishing path. If any of these points are weak, treat the output as a draft and run another iteration before publishing or scaling.

Handoff

Test in a real project

Finish by recording brief, version, branch, integration, QA checklist, and deployment target. This turns the learning moment into operational memory and makes auditing, collaboration, and measurement easier later.

Recommended operating model

  1. 1Define the main intent of the flow in one sentence: who is affected, which problem is solved, and what action should happen next.
  2. 2Run it on a small sample first. In AbstractOS, validate the flow, review AI suggestions, and adjust fields, tone, rules, or integrations before scaling.
  3. 3Compare the result with the expected signals: main flow tested end to end; data and permissions mapped; recoverable version before publishing. These signals show whether the module is ready for real use or still a draft.
  4. 4Document the decision, owner, and next review. This prevents rework when another team member continues the process.
  5. 5After validation, connect the result with publishing, export, integration, or an advanced guide to prepare for scale.

Practical example

An agency can create a B2B landing skill with required sections, tone and accessibility rules.

Common mistakes

  • Creating an overly broad skill.
  • Contradicting the brief.
  • Never reviewing after real use.

How to do it in AbstractOS

In AbstractOS, use the Prisma Studio flow to apply this guide with connected context, mockups and operational next steps.

Create skill
Skill Injection2 matches

findMatchingSkills()

2 matches

Prompt atual

Crie um CRUD com dashboard para imobiliaria...

CRUD SaaS seguro

useCount 128

Dashboard KPI

useCount 91

Landing conversao

sem match

System prompt

soft guidance

### Workspace Skills

#### CRUD SaaS seguro

Use RLS, estados e formularios...

#### Dashboard KPI

KPIs, filtros e drilldown...

Hard Rules continuam vencendo conflitos

Where should I start?

Start with the operational objective, then choose the module and validate the first result before automating.

Do I need to configure everything at once?

No. Create a simple version, measure it and evolve from real usage.

How do I know it worked?

Define a result metric before executing: click, lead, reply, sale, publication or reduced rework.