Search

PythonReactSEOPDF

wtthornton AI Skills

GitHub ↗

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

Author statistics

Indexed skills

44

Repository stars across indexed skills

116

Repository forks

12

Average repository stars per indexed skill

3

Repository stars may repeat across skills from the same repository.

44 skills

Browse skills

GitHub

bug-fix-agent

wtthornton

Bug Fix Agent - Automated bug fixing with review loopback and auto-commit to main branch. Fixes bugs, tests them, reviews quality, and commits when quality gates pass.

GitHub

implementer

wtthornton

Write production-quality code following project patterns. Use when implementing features, fixing bugs, or creating new files.

GitHub

designer

wtthornton

Design API contracts, data models, and UI/UX specifications. Use for API design, data modeling, UI wireframes, and design systems.

GitHub

analyst

wtthornton

Gather requirements, perform technical research, and estimate effort/risk. Use for requirements analysis, stakeholder analysis, technology research, and competitive analysis.

GitHub

documenter

wtthornton

Write documentation. Use when generating API docs, README files, or updating docstrings.

GitHub

reviewer

wtthornton

Code reviewer providing objective quality metrics, security analysis, and actionable feedback. Use for code reviews with scoring, linting, type checking, and duplication detection.

GitHub

architect

wtthornton

Design system and security architecture. Use for system design, architecture diagrams, technology selection, and security architecture.

GitHub

evaluator

wtthornton

Evaluate TappsCodingAgents framework effectiveness and provide continuous improvement recommendations. Use for analyzing usage patterns, workflow adherence, and code quality metrics.

GitHub

example-custom-skill

wtthornton

Example custom Skill demonstrating template generation and best practices. Use this as a reference when creating your own custom Skills.

GitHub

orchestrator

wtthornton

Coordinate YAML-defined workflows and make gate decisions. Use for workflow execution, step coordination, and gate evaluation. Includes YAML workflow support.

GitHub

planner

wtthornton

Create user stories and task breakdowns. Use for story planning, epic creation, and task estimation.

GitHub

debugger

wtthornton

Investigate and fix bugs. Use when debugging errors, analyzing stack traces, or tracing code execution.

GitHub

tester

wtthornton

Generate and run tests for code. Use when creating unit tests, integration tests, or running test suites.

GitHub

coding-standards

wtthornton

Apply language and framework coding standards. Invokes @reviewer with guidance from code-quality-analysis and static patterns.

GitHub

reviewer

wtthornton

Code reviewer providing objective quality metrics, security analysis, and actionable feedback. Use for code reviews with scoring, linting, type checking, and duplication detection.

GitHub

frontend-patterns

wtthornton

Apply UI and accessibility patterns. Uses accessibility, user-experience; invokes @designer, @reviewer for UI and a11y.

GitHub

security-review

wtthornton

Run security review workflow. Uses security, data-privacy-compliance; invokes @reviewer *review (security) and @ops *audit-security.

GitHub

ops

wtthornton

Security scanning, compliance checks, deployment automation, and infrastructure management. Use for security audits, compliance validation, and deployment planning.

GitHub

ops

wtthornton

Security scanning, compliance checks, deployment automation, and infrastructure management. Use for security audits, compliance validation, and deployment planning.

GitHub

implementer

wtthornton

Write production-quality code following project patterns. Use when implementing features, fixing bugs, or creating new files. Includes Context7 library documentation lookup.

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.