code-quality-analyst
>
backlog-moderator
>
feature-spec-critic
>
issue-validator
>
qa-behavioral-tester
>
root-cause-analyzer
>
qa-orchestrator
>
refactor-moderator
>
coder
>
refactor-critic
>
issue-creator
>
fix-planner
>
feature-recovery
>
qa-regression-scanner
>
open-source-librarian
>
feature-spec-moderator
>
qa-contract-validator
>
feature-spec-author
>
bug-researcher
>
backlog-champion
>
backlog-critic
>
complexity-gate
>
feature-verifier
>
issue-splitter
>
n8n-setup
|
llm-knowledge
|
data-pipeline
|
writing-plans
|
finetune-llm
|
llm-coach
|
task-manager
|
executing-plans
|
ralph
Create and run Ralph loops for structured AI-driven development. Triggered by "create a ralph loop for X" or "ralph plan for X". Uses interview to clarify requirements, expert review via rp-cli, creates phased task plans, and executes in YOLO mode.
nano-image-generate
Generate images using Nano Banana (Flash) or Nano Banana Pro. Use 'flash' for speed/efficiency and 'pro' for high quality, text rendering, and complex prompt adherence. Triggers include 'generate image', 'create logo', 'fast image', 'high quality image'.
video-toolkit
Intelligent video processor for downloading media and extracting transcripts from YouTube and 1000+ supported sites. Automatically handles format selection, subtitle extraction, and post-processing.
nanobanana
AI image generation using Google Gemini models. Generate, edit, and refine images from text prompts.
pull-request-format
Validate pull request source/target rules and draft standardised PR titles and Markdown descriptions that match repository GitHub Actions enforcement.
tests-and-formatting-discipline
Maintain testing and formatting discipline aligned with the repository CI pipeline without automatically running tools.
boost-search-docs-first
Use Laravel Boost search-docs to verify the correct, version-specific approach before implementing Laravel ecosystem features.
minimal-file-changes
Prefer small, local edits. Avoid creating new files or folders unless required by Laravel conventions or explicitly requested by the user.
terminal-driven-fix-loop
Use a terminal-first feedback loop where the user runs tools manually and provides output for fixes.
ask-clarifying-questions
Ask the minimum necessary clarifying questions before implementation when requirements are unclear or ambiguous.
skill-maker
Generate new Claude Code skills with proper structure and standards. Use when the user requests skill creation, wants to generate a new skill, or mentions creating custom Claude Code functionality. Activated by phrases like "create a skill", "generate a skill", "make a new skill", or "build a skill for".
k8s-planning
Interactive Kubernetes deployment planning through Q&A-based scenario extraction. Use when users want to design K8s architecture, plan microservice deployments, define manifests, ConfigMaps, Secrets, Services, RBAC, or Network Policies. Guides users through structured decision-making to generate consistent deployment documentation.
linkedin-post-maker
Creates engaging LinkedIn posts on any topic with proper formatting, hooks, and CTAs. Use when the user asks to create, generate, or write a LinkedIn post, social media content for LinkedIn, or professional social content. Asks clarifying questions to ensure quality and relevance.
pytest-python
|
sqlmodel-orm-dbhelper
|
quiz-generator
Generate comprehensive educational quizzes based on Bloom's Taxonomy methodology (Remember, Understand, Apply, Analyze, Evaluate, Create). Creates structured True/False quizzes with detailed answer keys and explanations. Use when user requests quiz generation, assessment creation, test materials, practice questions, mentions Bloom's Taxonomy, or provides educational topics for quiz creation. Activates for study topics, course materials, reference files (.md, .txt, .pdf), or educational content requiring systematic assessment.
subagent-teams
|
FastAPI_Pytest_TDDHelper
|
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