Grilling

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    Relentlessly maps project decisions into a dependency tree to reach a total shared understanding before execution.

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    Grilling

    Example session with this skill installed

    I want to migrate our monolith's auth system to a separate microservice using OIDC. Grill me on the plan.

    • Read your context and instructions
    • Compiled the grilling

    I have initialized the design tree for the OIDC migration. The current frontier identifies two primary architectural decisions that must be settled before we can discuss token storage or logout flows.

    Migration Design: Round 1

    ❓

    Q1 -

    Identity Provider Strategy: Will we act as our own OIDC Provider (using a library like Hydra or Keycloak) or delegate identity to a third-party SaaS (like Auth0 or Okta)? This determines if we are building a management UI or just an integration layer.

    ➡️

    Recommendation: Use a third-party SaaS to reduce security surface area and maintenance overhead for the initial migration.

    ❓

    Q2 -

    Monolith Transition Pattern: Should we implement a "Strangler Fig" pattern where the monolith acts as a proxy to the new service, or a "Big Bang" cutover where the load balancer routes all auth traffic to the new service immediately?

    ➡️

    Recommendation: Strangler Fig. It allows for incremental testing of user sessions without a single point of failure during deployme

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    About this skill

    Vague project plans lead to scope creep and architectural debt. This skill forces clarity by interviewing you relentlessly until every decision is mapped and every assumption is documented.

    What it does

    • Decision Mapping builds a logical design tree where every choice branches into its necessary downstream consequences.
    • Frontier Calculation identifies exactly which questions can be answered now without guessing at future variables.
    • Parallel Interviewing batches all currently unblocked questions into structured rounds to minimize back-and-forth latency.
    • Automated Fact-Finding uses sub-agents to query your environment or filesystem for data, only asking you for subjective decisions.
    • Shared Understanding ensures no action is taken until the entire design tree is traversed and confirmed.

    How it works

    1. Define the Scope by providing an initial idea, plan, or technical decision you need to refine.
    2. Review the Frontier as the agent presents a numbered list of questions

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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