pod-reasoning

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Deep architectural reasoning using the o4-mini frontier model. Evaluates trade-offs, recommends patterns, and produces decision rationales for scalability, security, and maintainability. Use when: "design system", "compare approaches", "architecture decision", "complex problem", "trade-offs".

peterpodj By peterpodj schedule Updated 1/26/2026

name: pod-reasoning description: > Deep architectural reasoning using the o4-mini frontier model. Evaluates trade-offs, recommends patterns, and produces decision rationales for scalability, security, and maintainability. Use when: "design system", "compare approaches", "architecture decision", "complex problem", "trade-offs". license: MIT compatibility: "Requires: Azure OpenAI O4-Mini deployment" metadata: author: peterpodj category: architecture version: "1.0" keywords: - reasoning - architecture - design - trade-offs - scalability - security allowed-tools:

  • LLM(o4-mini)
  • Read

Reasoning Skill

When to Activate

  • System design, architecture choices, trade-off analysis
  • Scalability/security/latency considerations
  • Migration strategy, pattern selection, risk assessment

Core Patterns (Level 2)

Guidance

  • Produce clear options with pros/cons and explicit risks.
  • Provide a recommended option with rationale and next steps.
  • Align with PETERPOD standards (async-first, tests, tracing, Pydantic config).

Step-by-Step Workflow

  1. Clarify constraints (SLOs, data volume, latency, budget).
  2. Propose 2-3 options with trade-offs.
  3. Recommend one option; list risks and mitigations.
  4. Outline implementation phases and test strategy.

Full Reference (Level 3)

See references/REFERENCE.md for detailed patterns and examples.

Install via CLI
npx skills add https://github.com/peterpodj/POD_AGENT_V1 --skill pod-reasoning
Repository Details
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