Results for “software-classification”

Manage software complexity through deep modules, information hiding, and strategic programming, with a scoring framework for evaluating design quality.

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, GitHub Copilot SDK, ONNX Runtime, and OllamaSharp.

Multi-dimensional lead qualification scoring. Evaluates leads against BANT criteria, firmographic fit, behavioral signals, and intent indicators. Outputs qualified/disqualified verdict with detailed reasoning.

Naming Craft

Identify underspecified areas in the current feature spec by asking targeted clarification questions and encoding answers back into the spec.

Guides open source license selection, comparison, compliance review, and drafting of LICENSE/NOTICE files using canonical texts.

Compare tradeoffs and recommend architectural patterns — dependency injection, service-oriented architecture, repository, domain events, circuit breaker, and anti-corruption layer. Use when choosing between design patterns, planning microservices boundaries, evaluating system design alternatives, or asking 'which pattern should I use' for a specific coupling or resilience problem.

Demystifying CLIP Data

Reduce complexity of over-engineered code. Identify unnecessary abstractions, remove dead code, flatten deep nesting, and simplify logic while preserving behavior.

Guides coding workflows with planning, implementation, verification, and testing, storing user preferences locally on request.

Enforces system design, project structure, dependency management, error handling, testing, and documentation standards at principal-engineer level.

Enforces complexity analysis, correct data structure selection, vectorization, and algorithm implementation discipline at principal-engineer level.

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Refactoring Analyst

Rank an existing set of context chunks by relevance, diversity, freshness, and utility. Use when retrieval has already produced candidates that must be scored or reranked; use context-retrieval when the source corpus still needs to be searched.

Automates multi-source enrichment of IPs, domains, URLs, and file hashes using VirusTotal, AbuseIPDB, Shodan, GreyNoise, URLScan.io, and MISP to provide contextual risk scoring and disposition recommendations for SOC analysts.

Scans a codebase for Martin Fowler's catalog of code smells, reporting each with location, severity, and refactoring recommendations, and ranks files to build a prioritized refactoring queue.

Type design analysis — encapsulation, invariant expression, usefulness, and enforcement.

SVIT: Scaling up Visual Instruction Tuning

Score Analyzer

Code simplification suggestions — clarity, unnecessary complexity, redundant abstractions. Advisory only.

Validate whether an OSS tool is worth building through staged namespace, existing-solution, and feasibility review

---

PASS/FAIL eval rubrics and alignment loops for Sid Orchestra. Use when the user says sid evals, @sid-evals, grade this, eval gate, alignment score, or wants to stop AI slop with evaluation gates.

Reviews cohesion, naming, responsibility, complexity, and maintainability. Do not use as a default companion to every code change.