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Adam Krysztopa

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@AdamKrysztopa

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15Public Repos
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5Published Skills

Adam Krysztopa publishes architecture-decision skills covering threat modeling, testing strategy, system topology, object-level design patterns, and LLM-agent system design.

Skills Distribution
DomainDeveloper To...Software Architect.. (40%)Security Architect.. (20%)Testing Strategy &.. (20%)LLM Agent System D.. (20%)

Agent Skills by Adam Krysztopa

Showing 5 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About Adam Krysztopa

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What tasks can I accomplish with Adam Krysztopa's skills?

Five decision-support skills: threat-model for architecture security reviews, test-patterns for testing strategy and suite rebalancing, decide-architecture for system topology choices, design-patterns for GoF and Pythonic class design, and agentic-patterns for LLM-agent system design and review.

Who should use these skills?

Software architects, senior engineers, and technical leads making or reviewing design decisions. Each skill branches automatically: greenfield work gets a structured selection interview, while existing code gets a review against a pattern catalog with targeted, highest-leverage moves.

How do the skills handle greenfield versus existing code?

Greenfield triggers a short interview producing a recommendation, ADR, or evidence portfolio. Existing code triggers a catalog-based review returning one highest-leverage move. Threat-model binds scanner claims to scanners the repository already runs and states plainly when no binding exists.

What does the threat-model skill explicitly not do?

It never scans: no CVE enumeration, dependency grading, secret hunting, or scanner simulation. It produces no maturity score, percentage, or checklist. It also excludes agent control-flow design (agentic-patterns), topology selection (decide-architecture), and test selection (test-patterns).

What design philosophy guides the agentic-patterns skill?

It pushes toward the least autonomy that works, using a layered interview covering autonomy, reasoning loop, topology, memory, reliability, governance, input boundary, and integration. Existing agent code is reviewed against a nine-point checklist of over-building, under-building, and stale-scaffold defects.