Prompt vocali gratuiti · Replit Agent

Prompt utili per Replit Agent, pronti per la tua voce.

Parti da una struttura collaudata, detta i dettagli grezzi e consegna a Replit Agent un incarico con contesto, vincoli e risultato chiaro.

Replit Agent · Agent chat

Pensato per Agent chat

Apri Agent chat, pronuncia l’attivatore e descrivi il compito con parole tue. Clavio organizza la voce nel modello e la inserisce in Replit Agent.

L’ultima decisione resta tua

La voce rende più rapido un brief lungo. Controlla percorsi, negazioni, comandi, deploy e azioni distruttive prima dell’invio.

01 · Replit Agent

Otto modelli per il lavoro reale in Replit Agent

Ogni modello copre un’attività ricorrente. È preciso da poter essere verificato e flessibile per repository, prodotto e vincoli.

Debug

Correggere un bug

01

Correggere un bug · Replit Agent

Di’ start debug brief
Target application: Replit Agent
Target input: Agent chat

Task: Fix the bug described in my dictation.

Problem:
- Summarize the observed behavior precisely.

Expected behavior:
- State what should happen instead.

Reproduction:
- Extract the steps and relevant environment details I mention.

Constraints:
- Preserve existing behavior outside the fix.
- Do not invent missing requirements.

Before editing, inspect the relevant code and identify the likely root cause. Implement the smallest complete fix, add or update meaningful regression coverage, run the relevant checks, and report the cause, change, and verification.

Application-specific guidance:
- Describe the visible bug, reproduction path and expected result, then require inspection before the agent changes the project.
Creare

Creare una funzionalità

02

Creare una funzionalità · Replit Agent

Di’ start feature brief
Target application: Replit Agent
Target input: Agent chat

Goal:
- Turn my description into one clear product outcome.

User flow:
- Capture the trigger, expected behavior, empty/loading/error states, and completion state.

Constraints:
- Preserve the current design system and established architecture.
- Reuse existing components and services where appropriate.
- Do not invent scope I did not request.

Inspect the current implementation first. Then implement the complete user-facing flow, verify it with the most relevant checks, and explain any material tradeoffs.

Application-specific guidance:
- Define the complete flow, storage and failure states so the generated app is usable beyond the happy path.
Migliorare

Refactoring sicuro

03

Refactoring sicuro · Replit Agent

Di’ start refactor brief
Target application: Replit Agent
Target input: Agent chat

Refactor target:
- Identify the code and problem described in my dictation.

Invariants:
- Preserve observable behavior, public interfaces, analytics names, and persisted data unless I explicitly request a change.

Desired result:
- State the simpler structure or responsibility boundary I want.

Inspect callers and tests before editing. Make the refactor in reviewable steps, remove obsolete code, run focused regression checks, and call out any behavior that could not be proven equivalent.

Application-specific guidance:
- Preserve routes, data and external behavior while simplifying the generated project structure.
Creare

Scrivere test utili

04

Scrivere test utili · Replit Agent

Di’ start test brief
Target application: Replit Agent
Target input: Agent chat

Behavior under test:
- Extract the contract and failure modes from my dictation.

Test cases:
- Cover the main success path, the stated edge cases, and the regression that motivated this task.

Requirements:
- Test observable behavior rather than implementation details.
- Reuse the repository's existing test style and fixtures.
- Avoid tests that merely repeat the production code.

Inspect the implementation and nearby tests, add the smallest meaningful test set, run it, and report what the tests prove.

Application-specific guidance:
- Test the deployed-style user behavior and edge cases rather than only checking that generated code runs.
Revisionare

Revisionare le modifiche

05

Revisionare le modifiche · Replit Agent

Di’ start code review
Target application: Replit Agent
Target input: Agent chat

Review the changes I describe or provide.

Focus on:
- User-visible regressions and incorrect behavior.
- Data loss, security, privacy, concurrency, and migration risks.
- Missing validation for behavior that materially changed.

Check the surrounding code and established project conventions before judging the diff. Report only actionable findings, ordered by severity, with a concrete trigger and consequence for each. If there are no findings, say so and state the remaining verification limits.

Application-specific guidance:
- Review every changed file and dependency, with special attention to secrets, data access and irreversible actions.
Debug

Analizzare le prestazioni

06

Analizzare le prestazioni · Replit Agent

Di’ start performance investigation
Target application: Replit Agent
Target input: Agent chat

Performance problem:
- Capture where the slowdown occurs, how often, and what the user experiences.

Evidence:
- Record the measurements, logs, device details, and reproduction conditions I mention.

Investigate before optimizing. Identify the dominant cost, distinguish measured facts from hypotheses, and avoid broad rewrites. Implement the highest-impact safe improvement, compare before and after with the same workload, and report the measured result and remaining bottlenecks.

Application-specific guidance:
- Measure the running app under the same workload and separate hosting, network and application bottlenecks.
Creare

Pianificare l’implementazione

07

Pianificare l’implementazione · Replit Agent

Di’ start implementation plan
Target application: Replit Agent
Target input: Agent chat

Objective:
- Restate the outcome from my dictation.

Current context:
- Capture the relevant system, constraints, and decisions already made.

Produce a concrete implementation plan based on the actual codebase. Name the components that need to change, dependencies between steps, migration or rollout concerns, and the checks that prove completion. Resolve routine choices from repository evidence and list only uncertainties that truly block execution.

Application-specific guidance:
- Plan data, routes, components and verification before asking the agent to regenerate broad parts of the app.
Migliorare

Rifinire un’interfaccia

08

Rifinire un’interfaccia · Replit Agent

Di’ start interface polish
Target application: Replit Agent
Target input: Agent chat

Screen or flow:
- Identify the interface and user goal from my dictation.

Problems noticed:
- Capture the visual, interaction, responsive, and accessibility issues I mention.

Preserve the product's existing visual language. Inspect the screen at its real desktop and mobile sizes, fix hierarchy, spacing, typography, states, and interaction details, then compare the result in the running product. Avoid decorative changes that do not improve comprehension or use.

Application-specific guidance:
- Check the live preview on desktop and mobile and preserve consistent components across generated screens.

Modello pronto per l’agente · EN · Replit Agent

02

Prompt per altre app

CursorAgentClaude Codeterminal promptCodextask composerWindsurfCascadeGitHub CopilotCopilot ChatChatGPTmessage composerClaudemessage composerGeminiprompt boxLovablechat composer

Usare i modelli con Replit Agent

Serve Clavio per questi modelli?

No. Ogni modello si può copiare. Clavio aggiunge il flusso senza mani: installalo una volta, pronuncia l’attivatore e detta i dettagli.

Posso parlare nella mia lingua?

Sì. Parla nella lingua che usi normalmente. Il modello conserva la struttura e i tuoi dettagli definiscono lingua di lavoro e contesto.

Clavio invia il prompt automaticamente?

Solo se abiliti l’azione per l’app. Mantieni la revisione manuale per modifiche al codice, comandi, deploy, permessi ed eliminazioni.