Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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project-crank-engine
Set up aggressive recurring project execution loops (“Crank Engines”) using cron + agent turns, with a strict finish contract. Use when the user asks to keep cranking on a project/sprint (e.g. “set up an aggressive crank engine”, “keep pushing until sprint is done”, “run status every X minutes”), and needs configurable project, recipients, focus scope, quantifiable completion criteria, screenshot evidence, and manager-go/no-go enforcement.
delorenj/skills 9
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notebooklm
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Zero hallucinations, just your knowledge base.
delorenj/skills 9
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hindsight
Persistent agent memory via self-hosted Hindsight. Retain knowledge, recall context, reflect on patterns. Includes multi-bank routing architecture for agent orgs.
delorenj/skills 9
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vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
delorenj/skills 9
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mise-tasks
Orchestrate multi-step project workflows using mise task definitions with dependency management and argument handling. Use whenever the user wants to create, edit, or debug mise tasks, wire up task dependencies with depends/depends_post, or run workflows via 'mise run'. Also use when setting up task runners or automating build pipelines through mise. Do NOT use for mise environment variable configuration (use mise-configuration instead) or for general shell scripting unrelated to mise.
delorenj/skills 9
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zellij-plugin-dev
Develop Zellij plugins with Rust/WASM, API reference, event system, UI rendering, plugin lifecycle, and real-world examples from diverse open source plugins
delorenj/skills 9
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openai-docs
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or explicit GPT-5.4 upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.
delorenj/skills 9
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skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
delorenj/skills 9
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skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
delorenj/skills 9
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god-docs
Implement and maintain the GOD doc system - a documentation strategy for multi-component repositories. Use when: (1) a task requires any code modifications or analysis, (2) adding or modifying any documentation, (3) auditing doc freshness and detecting drift
delorenj/skills 9
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33god-33god-agent-factory
Bootstrap new 33GOD ecosystem agents with standardized configuration. Use when creating new agents, spawning workers, or when the user says "spin up an agent", "create a new agent", "deploy a new worker", or needs a new agent for a specific pipeline role. Handles workspace creation, config injection, skill installation, provider mirroring, channel binding, and 33GOD ecosystem onboarding (GOD Docs, Plane, Bloodbank, memory).
delorenj/skills 9
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agno
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
delorenj/skills 9
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managing-tickets-and-tasks-in-plane
Multi-workspace Plane sprint board management with intelligent automation, ticket creation, and BMAD workflow integration.
Use this skill when:
- Creating tickets from BMAD stories, task descriptions, or audit findings
- Auditing board organization (ticket clustering, label optimization, status bottlenecks)
- Selecting the next optimal ticket to work on (priority scoring algorithm)
- Promoting completed tickets to production and generating changelogs
- Managing sprint workflows with status tracking and WIP limits
- Working with multiple Plane workspaces (auto-detects from git remote or directory)
Triggers: "create ticket", "board audit", "what should I work on", "next ticket", "promote to production", "changelog", "sprint status", "WIP limit", plane ticket operations
delorenj/skills 9
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monitoring-stack
Manage the homelab monitoring stack at ~/docker/stacks/monitoring/. Services: Prometheus, Grafana, Alertmanager (Telegram via DeLoNETBot), cadvisor, node-exporter, process-exporter, Loki, OTEL collector, Dockge, Uptime Kuma, health-monitor. Use when: (1) adding, editing, or debugging Prometheus alert rules, (2) managing or restarting monitoring services, (3) checking alert delivery or Telegram bot status, (4) diagnosing system performance issues (CPU hogs, memory bloat, swap pressure), (5) adding new scrape targets to Prometheus, (6) configuring Grafana dashboards or datasources, (7) any task referencing "monitoring", "alerts", "prometheus", "grafana", "cadvisor", "process-exporter", "alertmanager", "telegram alerts", or "DeLoNETBot".
delorenj/skills 9
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vercel-react-native-skills
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
delorenj/skills 9
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shadcn-components
Add or customize shadcn/ui components in the shared UI package. Use when adding new components from shadcn registry or updating existing component variants.
delorenj/skills 9
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pjangler-dev
Create pjangler Commands and Recipes for project bootstrapping. Use when:
(1) Creating a new Command class to add/generate files or directories
(2) Creating a new Recipe that composes multiple Commands
(3) Registering new recipes in the CLI
(4) Adding new subsystem bootstrapping functionality
Triggers: "pjangler command", "pjangler recipe", "add subsystem", "bootstrap", "project scaffolding"
delorenj/skills 9
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elevenlabs-voices
High-quality voice synthesis with 18 personas, 32 languages, sound effects, batch processing, and voice design using ElevenLabs API.
delorenj/skills 9
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ascii-cli-logo-banner
Entry point for ASCII CLI banners. Choose the Python built-in font skill or the figlet.js/FIGfont skill depending on needs.
delorenj/skills 9
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phone-agent
Run a real-time AI phone agent using Twilio, Deepgram, and ElevenLabs. Handles incoming calls, transcribes audio, generates responses via LLM, and speaks back via streaming TTS. Use when user wants to: (1) Test voice AI capabilities, (2) Handle phone calls programmatically, (3) Build a conversational voice bot.
delorenj/skills 9
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tanstack-start-best-practices
TanStack Start best practices for full-stack React applications. Server functions, middleware, SSR, authentication, and deployment patterns. Activate when building full-stack apps with TanStack Start.
delorenj/skills 9
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creating-coloring-books
End-to-end coloring book creation, packaging, pricing, and multi-storefront publishing pipeline. Converts a topic/trend into print-ready coloring pages, bundles them for sale, and posts to Etsy, Creative Market, Gumroad, Amazon KDP, and more. Use when: creating coloring books, coloring pages, coloring bundles, converting images to line art for print, packaging digital downloads, listing on storefronts, or when the user provides a topic and wants sellable coloring content. Triggers: "coloring book", "coloring pages", "coloring bundle", "line art", "convert to coloring", "printable coloring", "list on etsy", "sell coloring pages", any topic + "coloring".
delorenj/skills 9
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letta
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
delorenj/skills 9
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temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
delorenj/skills 9