About this skill

The Problem

Many development workflows lack a connected path from scaffolding to acceptance. A new skill may be missing required files, a crawler may need anti-detection and risk analysis, code review can stay superficial, test generation and execution may not close the loop, and project audits often lack a consistent A-F quality baseline. code-assistant-plus targets this fragmentation by organizing common development actions into a command-based workflow.

How It Works and Where It Fits

The skill is described as pure orchestration with zero external dependencies and 14 commands. The main path includes:

Skill scaffolding: skill-gen creates a skeleton with main.py, SKILL.md, and requirements.txt; skill-validate checks file and code completeness.
Crawler assistance: crawl-anti analyzes anti-crawling mechanisms and bypass strategies; crawl-gen generates scripts with seven anti-detection strategies, incremental crawling, and resume support.
Quality loop: code-review covers security, performance, conventions, errors, and architecture; code-quality produces an A-F score; test-gen and test-run support pytest, Jest, and JUnit testing.
Repair and audits: code-fix, code-optimize, code-refactor, and code-benchmark address bugs, performance, refactoring, and benchmarks; project-audit and project-quality assess structure, dependencies, tests, documentation, CI, security, and debt.

It fits developers who need fast workflow scaffolding, code health checks, and actionable improvement items. The boundary is that it is a process-orchestration aid, not a release gate; fixes still need human validation, and scraping must respect target-site rules and legal requirements.

Screenshots

Use Cases

When creating a new skill, scaffold main.py, SKILL.md, and dependency files, then validate the skeleton.
When taking over a legacy module, review security, performance, and errors, then produce an A-F score and tests.
When building a price-crawling script, analyze anti-crawl mechanisms, then generate a crawler with resume support.
Before release, audit dependencies, tests, docs, CI, and security, then produce a quality score and fix list.

Best For

Engineers maintaining Agent skill scaffolds who need to generate and validate skill directory structures quickly.
Data engineers maintaining crawlers who need anti-crawl analysis and resume-capable collection scripts.
Tech Leads running code review who want module-level checks across security, performance, and architecture.
Project owners taking over legacy systems who need to audit dependencies, tests, CI, and security for debt.