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    advise-project-approach

    by Aarav Kashyap

    Research comparable real projects before choosing, fixing, or shipping your project architecture.

    Updated May 2026
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    A real example of what this skill takes in and produces.

    Sample output

    Project Approach Review: fast-api-gateway Evidence: Inspected 12 files including pyproject.toml and main.py. Gap Analysis: Current sync logging will bottleneck under 10k RPS. Recommendation: Migrate to structlog for async I/O. Next Action: Implement vertical slice in /auth/ middleware.

    About This Skill

    advise-project-approach is a Claude/Codex skill for making better project decisions before, during, or after a build. Instead of recommending a tech stack from vibes, it researches comparable real-world projects, checks the user’s constraints, and produces an evidence-backed recommendation. It supports three modes: - Pre-build strategy: choose a stack, architecture, and build plan before starting. - Mid-build course correction: review an in-progress repo and prioritize what to fix. - Post-build review: compare a finished project against mature alternatives before shipping. The skill is designed to produce: - stack recommendations - architecture direction - comparable project research - tradeoff analysis - alternatives - build or improvement plans - risks and assumptions - “when this recommendation becomes wrong” guidance It is read-only by default and includes rules for evidence discipline, privacy, external research freshness, and anti-hallucination.

    Use Cases

    • Choose the right tech stack before starting a project
    • Review an in-progress codebase and prioritize what to fix
    • Compare a project against similar real-world repositories
    • Get an evidence-backed architecture and build plan

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