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compromises

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@tiendungchs

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5Published Skills

First-principles reasoning methods for deriving ML architectures, loss functions, and system designs from forced constraints rather than memorized patterns.

Skills Distribution
DomainAI Models & ...Architecture Deriv.. (40%)First-Principles P.. (30%)Debugging & Mechan.. (20%)Research Paper & O.. (10%)

Agent Skills by compromises

Showing 5 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About compromises

FAQPage Schema
What tasks can I accomplish with compromises' skills?▼

You can derive architectures, losses, and update rules from forced constraints, design new blocks from first principles using an eight-question method, debug systems whose behavior contradicts your mental model, and reframe ambiguous problems before committing to expensive implementations.

Who should use these reasoning skills?▼

ML researchers and engineers designing model architectures or objectives, developers debugging systems that defy their mental model, and anyone reading papers whose equations feel arbitrary or choosing between competing design approaches.

When should I apply the intuitive-block-design skill?▼

Apply it before writing a block contract, registering a candidate, or opening an invention block. It walks through eight ordered questions producing artifacts—episode, cost table, forced-move list, failure mode, readout probe—that feed the block's note and known-answer test.

How does find-the-framing differ from first-principles?▼

Find-the-framing targets problems that feel harder than they should, spending effort on the framing that collapses the problem. First-principles is broader, covering new system design, unfamiliar code, stubborn bugs, and judging whether a proposed approach is sound.

What prerequisites are needed to use these skills?▼

No installation or dependencies are required; they are reasoning methods. You need a concrete problem—an architecture to design, a mechanism to explain, a bug resisting quick fixes, or a paper whose derivations feel arbitrary—and willingness to chain forced questions.