jmagly AI Skills

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

72 skills

Browse skills

GitHub

pr-reviewer

jmagly

Review GitHub pull requests for code quality, security, and best practices. Use for automated PR feedback and approval workflows.

GitHub

supply-chain-forensics

jmagly

SBOM analysis, build pipeline forensics, and dependency verification covering package integrity, build reproducibility, and CI/CD pipeline tampering

GitHub

gate-evaluation

jmagly

Validate phase gate criteria with multi-agent review and generate pass/fail reports. Use when relevant to the task.

GitHub

eslint-checker

jmagly

Run ESLint for JavaScript/TypeScript code quality and style enforcement. Use for static analysis and auto-fixing.

GitHub

risk-cycle

jmagly

Continuous risk identification, assessment, tracking, and retirement throughout SDLC. Use when relevant to the task.

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. Use when relevant to the task.

GitHub

pdf-extractor

jmagly

Extract text, tables, and images from PDF files. Use when converting PDF documentation, manuals, or reports to searchable text.

GitHub

claims-validator

jmagly

Validate documentation for unsupported claims, made-up metrics, and unverifiable statements. Use when relevant to the task.

GitHub

artifact-metadata

jmagly

Manage artifact metadata, versioning, ownership, and history tracking. Use when relevant to the task.

GitHub

voice-apply

jmagly

Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.

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

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

security-assessment

jmagly

Execute threat modeling, vulnerability scanning, and security control validation. Use when relevant to the task.

GitHub

parallel-dispatch

jmagly

Generic parallel agent orchestration utility for launching multiple agents concurrently. Use when relevant to the task.

GitHub

pr-reviewer

jmagly

Review GitHub pull requests for code quality, security, and best practices. Use for automated PR feedback and approval workflows.

GitHub

skill-enhancer

jmagly

AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation.

GitHub

decision-support

jmagly

Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.

GitHub

sdlc-reports

jmagly

Generate comprehensive SDLC reports including iteration status, metrics dashboards, and executive summaries. Use when relevant to the task.

GitHub

quality-checker

jmagly

Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements.

GitHub

voice-create

jmagly

Generate custom voice profiles from natural language descriptions. Use when relevant to the task.

GitHub

artifact-orchestration

jmagly

Orchestrate multi-agent artifact generation with the Primary Author → Parallel Reviewers → Synthesizer → Archive pattern. Use when relevant to the task.

GitHub

voice-analyze

jmagly

Reverse-engineer voice profiles from sample content by analyzing writing patterns. 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.

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.