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Found 910 Skills
This skill should be used when the user asks to "research code", "how does X work", "where is Y defined", "who calls Z", "trace code flow", "find usages", "review a PR", "explore this library", "understand the codebase", or needs deep code exploration. Handles both local codebase analysis (with LSP semantic navigation) and external GitHub/npm research using Octocode tools.
Plan and stay on track. Fast. Practical. Intentional. Oya is a productivity tool for doers who think strategically. It combines your long-term vision with daily adaptation by bringing together ideas from Getting Things Done (GTD) and the 7 Habits of Highly Effective People in a simple and lightning fast workflow. Daily use is recommended. Just say "oya" to get going.
Expert in understanding and navigating legacy codebases. Covers code archaeology techniques, finding hidden knowledge, mapping dependencies, and extracting understanding from code without documentation. Knows how to read the stories that old code tells. Use when "legacy code, old codebase, understand this code, archaeology, what does this do, no documentation, ancient code, " mentioned.
Deployment procedures and CI/CD pipeline configuration for Python/React projects. Use when deploying to staging or production, creating CI/CD pipelines with GitHub Actions, troubleshooting deployment failures, or planning rollbacks. Covers pipeline stages (build/test/staging/production), environment promotion, pre-deployment validation, health checks, canary deployment, rollback procedures, and GitHub Actions workflows. Does NOT cover Docker image building (use docker-best-practices) or incident response (use incident-response).
Test-driven development workflow enforcement for Python and React projects. Use when the user requests TDD, test-first development, or red-green-refactor methodology. Enforces strict cycle: write ONE failing test -> implement minimum code to pass -> refactor while green -> repeat. Applies to both backend (pytest) and frontend (Testing Library). Changes agent behavior to write tests before code. Does NOT provide testing patterns (use pytest-patterns or react-testing-patterns for how to write tests).
Integrate WorkOS AuthKit with vanilla JavaScript applications. No framework required, browser-only. Use when project is plain HTML/JS, doesn't use React/Vue/etc, or mentions vanilla JavaScript authentication.
Creates a pull request from current changes, monitors GitHub CI, and debugs any failures until CI passes. Use this when the user says "create pr", "make a pr", "open pull request", "submit pr", or "pr for these changes". Does NOT merge - stops when CI passes and provides the PR link.
Explain how CE.SDK Web features work — concepts, architecture, and workflows. Covers React, Vue.js, Svelte, Angular, Electron, Vanilla JavaScript, Node.js, Nuxt.js, Next.js, SvelteKit. Use when the user says "explain", "how does X work", "walk me through", "what is", "describe", or wants to understand a CE.SDK concept at a conceptual level for Web development. Generates custom markdown explanations with diagrams and code examples. Not for looking up existing docs (use docs-{framework}), not for writing implementation code (use build). <example> Context: User wants to understand how text layers work user: "Explain how text layers work in CE.SDK" assistant: "I'll use /cesdk:explain to generate a detailed explanation." </example> <example> Context: User needs a concept explained in their context user: "How does the block hierarchy work for video editing?" assistant: "Let me use /cesdk:explain to create a custom explanation for video block hierarchy." </example> <example> Context: User needs to understand a workflow user: "Walk me through the asset loading pipeline" assistant: "I'll use /cesdk:explain to explain the asset pipeline." </example>
Deep explanation of complex code, files, or concepts. Routes to expert agents, uses structural search, generates mermaid diagrams. Triggers on: explain, deep dive, how does X work, architecture, data flow.
Creates a pull request from current changes, monitors GitHub CI, and debugs any failures until CI passes. Use this when the user says "create pr", "make a pr", "open pull request", "submit pr", "pr for these changes", or wants to get their current work into a reviewable PR. Assumes the project uses git, is hosted on GitHub, and has GitHub Actions CI with automated checks (lint, build, tests, etc.). Does NOT merge - stops when CI passes and provides the PR link.
Stay current with how OpenCode, OpenAI Codex, and Claude Code implement extensibility features (skills, slash commands, subagents, custom prompts). Use when comparing implementations across AI coding assistants, researching how a specific tool implements a feature, or syncing knowledge about agent extensibility patterns. Triggers include questions like "how does X implement skills?", "compare slash commands across tools", "what's the latest on Claude Code sub-agents?", or requests to understand agent extensibility approaches.
AI-powered systematic codebase analysis. Combines mechanical structure extraction with Claude's semantic understanding to produce documentation that captures not just WHAT code does, but WHY it exists and HOW it fits into the system. Includes pattern recognition, red flag detection, flow tracing, and quality assessment. Use for codebase analysis, documentation generation, architecture understanding, or code review.