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jmagly AI Skills

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Browse published AI skills maintained by jmagly. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

72

Repository stars across indexed skills

5,722

Repository forks

654

Average repository stars per indexed skill

79

Repository stars may repeat across skills from the same repository.

72 skills

Browse skills

GitHub

architecture-evolution

jmagly

Manage architecture changes with impact analysis, ADR generation, and migration planning. Use when relevant to the task.

GitHub

performance-digest

jmagly

Generate executive-ready performance summaries with insights and recommendations. Use when relevant to the task.

GitHub

generate-factory

jmagly

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

GitHub

mutation-test

jmagly

Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.

GitHub

pytest-runner

jmagly

Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.

GitHub

voice-blend

jmagly

Combine multiple voice profiles with weighted mixing to create hybrid voices. Use when relevant to the task.

GitHub

repo-analyzer

jmagly

Analyze GitHub repositories for structure, documentation, dependencies, and contribution patterns. Use for codebase understanding and health assessment.

GitHub

incident-triage

jmagly

Rapid incident classification, severity assessment, and response coordination. Use when relevant to the task.

GitHub

source-unifier

jmagly

Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.

GitHub

ralph-loop

jmagly

Detect requests for iterative AI task loops and invoke the Ralph command

GitHub

ai-pattern-detection

jmagly

Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authentic...

GitHub

test-sync

jmagly

Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation.

GitHub

skill-packager

jmagly

Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package. Use when relevant to the task.

GitHub

config-validator

jmagly

Validate AIWG configuration files and project setup for correctness and completeness. Use when relevant to the task.

GitHub

qa-protocol

jmagly

Multi-stage quality assurance protocol for marketing assets with channel-specific validation. Use when relevant to the task.

GitHub

tdd-enforce

jmagly

Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first development workflow, adding coverage gates, or enforcing TDD practices.

GitHub

test-coverage

jmagly

Analyze test coverage, identify gaps, and recommend test improvements. Use when relevant to the task.

GitHub

nl-router

jmagly

Route natural language requests to appropriate skills and workflows. Use when relevant to the task.

GitHub

generate-factory

jmagly

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

GitHub

doc-splitter

jmagly

Split large documentation (10K+ pages) into focused sub-skills with intelligent routing. Use for massive doc sites like Godot, AWS, or MSDN.

GitHub

test-sync

jmagly

Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation. Use when relevant to the task.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.