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jmagly/aiwg

Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.

26 skills

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jmagly/aiwg

This skill analyzes flaky test patterns and suggests or auto-applies fixes to stabilize test suites.

jmagly/aiwg

This skill helps maintain test-suite alignment by detecting orphaned tests, missing tests, and implementation-coupled tests to streamline cleanup and

jmagly/aiwg

This skill runs mutation testing to evaluate test effectiveness and reveal weak tests, improving test quality beyond coverage.

jmagly/aiwg

This skill enforces test-first development by configuring pre-commit hooks and CI gates to ensure code cannot merge without adequate tests.

jmagly/aiwg

This skill analyzes GitHub repositories to assess structure, docs quality, and contribution patterns for quick health insights and improvement guidance.

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jmagly/aiwg

This skill detects requests for large-scale code analysis and routes them to recursive, chunked processing to prevent context overflow.

jmagly/aiwg

This skill splits large documentation into focused sub-skills with routing to improve navigation and maintain scalable, topic-aligned knowledge bases.

jmagly/aiwg

This skill executes and analyzes pytest suites, ensures environment readiness, reports coverage, and aids failure diagnosis for Python test automation.

jmagly/aiwg

This skill creates, manages, and validates Python virtual environments for project isolation and reliable dependency handling.

jmagly/aiwg

This skill enhances basic SKILL.md files by extracting better examples and composing comprehensive guides to improve skill documentation quality.

jmagly/aiwg

This skill scrapes documentation websites into organized reference files for offline archives or Claude skills, ensuring structured outputs and easy retrieval.

jmagly/aiwg

This skill intelligently unifies documentation from multiple sources—docs, GitHub, and PDFs—and reports conflicts for consistent, accurate AI-assisted

cross-task-learner

jmagly/aiwg

This skill enables Ralph loops to learn from past tasks and share patterns, accelerating solutions across multiple tasks.

jmagly/aiwg

This skill converts extracted documentation into upload-ready Claude skill packages, streamlining structure, references, and validation for rapid deployment.

jmagly/aiwg

This skill packages completed skill directories into uploadable ZIP files for Claude, validating structure and ensuring safe, ready-to-upload artifacts.

llms-txt-support

jmagly/aiwg

This skill detects and fetches llms.txt files to enable rapid, LLM-optimized documentation ingestion before site scraping.

jmagly/aiwg

This skill extracts structured content from PDF files, enabling searchable text, tables, and images for documentation and reports.

jmagly/aiwg

This skill detects requests for iterative AI task loops and routes them to the /ralph command to drive completion.

quality-checker

jmagly/aiwg

This skill validates Claude skill packages for quality and completeness, ensuring standards conformance before packaging.

jmagly/aiwg

This skill identifies flaky tests by analyzing CI history and test patterns to improve reliability and CI stability.

generate-factory

jmagly/aiwg

This skill auto-generates test data factories from schemas or models, accelerating test setup with realistic, deterministic fixtures.

jmagly/aiwg

This skill applies a chosen voice profile to transform content, ensuring tone, vocabulary, and structure match your intended audience.

ai-pattern-detection

jmagly/aiwg

This skill detects AI-generated writing patterns and suggests authentic alternatives to improve natural voice during content creation and editing.

jmagly/aiwg

This skill analyzes pull requests for quality, security, and standards, providing actionable feedback and streamlined approval guidance.

jmagly/aiwg

This skill runs and manages Vitest test suites with coverage, reporting, and diagnostics to speed up JS/TS test automation.