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Interactive Simulation Spec Writer

Spécifiez une simulation interactive : objectifs, étapes de vérification par agent et conditions de sortie.

Rédigez la spécification d'une simulation interactive comme la lirait un agent guide : l'objectif décomposé en étapes vérifiables, une boucle de contrôle image par image et des conditions de sortie claires. Inspiré de l'approche « Gemini 3.8 Flash in-the-loop » décrite dans l'annonce de Genie 4.

Aperçu de Interactive Simulation Spec Writer
Idéal pour
équipes qui conçoivent des démos interactives, des simulations ou des visites guidées
Temps nécessaire
30 minutes pour une première spec
Niveau
Intermédiaire

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Contenu du pack

Un fichier SKILL.md (le guide pratique) + un modèle de départ. Aperçu :

Interactive Simulation Spec Writer

The idea in one paragraph

A simulation you can walk into needs more than a pretty world — it needs a plan for what should happen inside it. The Genie 4 announcement describes a guiding agent (Gemini 3.8 Flash) that looks at frames, breaks a goal into steps, and verifies each step. This skill turns that pattern into a writing method: you write the goal, decompose it into checkable steps, define how each step gets verified, and set the conditions that end the run. The output is a spec any builder — human or agent — can execute against.

What it is built on

  • Per DeepMind's October 27, 2026 blog post, a Gemini 3.8 Flash guiding agent operates in the loop: it observes frames, decomposes a goal into steps, and verifies each step as it runs.
  • DeepMind lists four advances for Genie 4: stronger photorealism, smoother motion, native generated audio, and longer coherence of about 2 minutes (TechCrunch), roughly double Genie 3.
  • Genie 4 is a research preview for trusted testers with a waitlist; Google plans access for Google AI Ultra subscribers (inside Project Genie) and early Gemini API / AI Studio partners. No dates, prices, or published benchmarks were announced.
  • DeepMind publicly acknowledges limitations including drift, object permanence, physics, and legible text — a spec must account for these rather than assume them away.

Workflow

  1. State the goal in one sentence (input: idea -> output: goal statement). Write what the explorer should experience or accomplish, in plain language. If it needs a second sentence, it is two goals — split it.
  2. Decompose into checkable steps (input: goal -> output: numbered step list). Break the goal into steps where each one has a yes/no completion test. A step like "explore the market" is not checkable; "reach the fountain at the market's center" is.
  3. Define the verification loop (input: steps -> output: check procedure). For each step, write how completion is verified — what the guiding agent looks at, and what counts as evidence. Borrow the in-the-loop pattern: observe, compare against the step's test, then proceed.
  4. Write the exit conditions (input: steps + loop -> output: exit rules). Define when the run ends: goal reached, explorer types a stop command, a time limit hits, or the world drifts past a tolerance you set. Every run needs at least two exit conditions.
  5. Add failure handling (input: spec draft -> output: fallback rules). Decide what happens when a step cannot be verified — retry once, skip and log, or abort the run. Never let a stuck step spin forever.
  6. Freeze the spec (input: full draft -> output: signed spec). Read it end to end as the person who must execute it. If any step is ambiguous, rewrite it now; ambiguity compounds in a live simulation.

Aperçu du modèle

Interactive Simulation Spec Template

Goal

_One sentence: what the explorer experiences or accomplishes._

Steps (each with a yes/no completion test)

Verification loop

_How each step is verified (what to observe, what counts as evidence):_

Exit conditions (at least two)

1. 2.

Failure handling

_What happens when a step cannot be verified: retry / skip+log / abort._

Spec metadata

  • Target model:
  • Date written:
  • Known limits assumed:

Le pack de compétence lui-même (SKILL.md + modèle) est rédigé en anglais.

Pro — les 531 compétences

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