ClyptAI
Official@clyptai
Offers specialized engineering orchestration for DigitalOcean infrastructure, Hugging Face model training, and systematic test-driven development across enterprise codebases.
Agent Skills by ClyptAI
Showing 122 vetted skills indexed across 2 GitHub repositories.
ClyptAIweb-design-guidelines
Audit frontend UI code against Web Interface Guidelines for accessibility and consistency.
ClyptAIvercel-composition-patterns
Replace boolean props with explicit variants and context providers in React.
ClyptAIvercel-react-best-practices
Apply Vercel best practices to optimize React and Next.js performance.
ClyptAIvercel-react-view-transitions
Implement View Transition API patterns for React and Next.js UI transitions.
ClyptAIsetup-pre-commit
Configure Husky, lint-staged, and Prettier pre-commit hooks across package managers.
ClyptAItriage-issue
Explore a codebase to identify root causes and generate a GitHub issue with a TDD fix plan.
ClyptAIgithub-triage
Triage GitHub issues using a label-based state machine to assign next actions.
ClyptAIobsidian-vault
Search, create, and organize notes in an Obsidian vault with wikilinks.
ClyptAIubiquitous-language
Extract domain terminology into a canonical glossary and write UBIQUITOUS_LANGUAGE.md.
ClyptAIgit-guardrails-claude-code
Configure a PreToolUse hook to block dangerous git commands in Claude Code.
ClyptAIdomain-model
Compare project plans against domain models to surface terminology gaps.
ClyptAIrequest-refactor-plan
Interview stakeholders to plan refactors and generate commit-by-commit GitHub issues.
ClyptAIimprove-codebase-architecture
Identify architectural friction and propose module deepening opportunities aligned with ADRs and CONTEXT.md.
ClyptAIedit-article
Reorganize article drafts into clearly titled sections with concise prose.
ClyptAIto-issues
Break plans, specs, or PRDs into GitHub issues with vertical slices.
ClyptAIzoom-out
Map codebase modules and their callers at a high level.
ClyptAIwrite-a-skill
Create agent skills with validated frontmatter and optional resource files.
ClyptAIscaffold-exercises
Generate exercise directories and lint-compliant readmes from a plan.
ClyptAIdesign-an-interface
Coordinate parallel sub-agents to generate and compare module interface designs.
ClyptAIcaveman
Enforce terse, technically accurate responses across coding and debugging chats.
ClyptAItdd
Guide developers through red-green-refactor cycles for test-driven development.
ClyptAIgrill-me
Interrogate plans one question at a time to surface assumptions and dependencies.
ClyptAIto-prd
Generate a GitHub issue-ready PRD from conversation and codebase context.
ClyptAImigrate-to-shoehorn
Migrate TypeScript test files from as assertions to shoehorn helpers.
Frequently Asked Questions About ClyptAI
FAQPage SchemaWhat specific infrastructure tasks can ClyptAI manage?▼
ClyptAI handles DigitalOcean App Platform provisioning, including custom domain configuration, ingress routing, VPC connectivity, and managed database setup. It also supports migration from platforms like Heroku or Render and provides troubleshooting via container shell access and log analysis.
How does ClyptAI support machine learning model development?▼
It facilitates Hugging Face model training, fine-tuning, and evaluation using cloud GPUs. Capabilities include dataset querying via the Dataset Viewer, metric synchronization to Spaces, and deploying interactive Gradio interfaces for model testing.
What is the recommended workflow for using these capabilities?▼
Users should initialize projects with the provided bootstrapping skills, then utilize the 'planner' to generate staged implementation tasks. Development follows a strict test-driven cycle, using 'guard' and 'checkpoint' to maintain repository health before deploying to production via GitHub Actions.