ark-setup
Set up and install the Ark platform from source. Use this skill when the user wants to install, deploy, or configure Ark in their local Kubernetes cluster.
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Set up and install the Ark platform from source. Use this skill when the user wants to install, deploy, or configure Ark in their local Kubernetes cluster.
Analyze the Ark codebase by cloning the repository to a temporary location. Use this skill when the user asks questions about how Ark works, wants to understand Ark's implementation, or needs to examine Ark sou...
Run a Recursive Language Model-style loop for long-context tasks. Uses a persistent local Python REPL and an rlm-subcall subagent as the sub-LLM (llm_query).
Skill for deploying to production environment. Covers CI/CD, environment configuration, and deployment strategies. Use proactively when user is ready to deploy or asks about production environment setup. Trig...
React/TypeScript component development guidelines for Gemini-Subtitle-Pro. Use when creating components, pages, modals, forms, or working with TailwindCSS, hooks, and React 19 patterns. Covers component archite...
Electron main process and IPC development guidelines for Gemini-Subtitle-Pro. Use when working with IPC handlers, preload scripts, native integrations (ffmpeg, whisper, yt-dlp), file system operations, and desk...
Use when releasing a new version - guides through version bump, changelog generation, commit grouping, tagging, and GitHub CI tracking. Triggers on "发布新版本", "release", "发版", or version release requests.
Subtitle parsing, generation, and translation service guidelines for Gemini-Subtitle-Pro. Use when working with SRT/ASS/VTT parsing, subtitle generation, translation pipeline, glossary management, speaker ident...
Prevents generic AI-generated designs by guiding typography, color, motion, and background choices. Use when creating frontend designs, landing pages, dashboards, or any UI/UX work. Helps avoid the "AI slop" ae...
This skill should be used whenever users ask food-related questions, meal suggestions, nutrition advice, recipe recommendations, or dietary planning. On first use, the skill collects comprehensive user preferen...
Use when working with destinations, understanding the destination interface, or learning about env pattern and configuration. Covers interface, lifecycle, env mocking, and paths.
Use when writing or updating any documentation - README, website docs, or skills. Covers quality standards, example validation, and DRY patterns.
Use when creating a new walkerOS source. Example-driven workflow starting with research and input examples before implementation.
Use when working with transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.
Use when events aren't reaching destinations, debugging event flow, or troubleshooting mapping issues. Covers common problems and debugging strategies.
Use when working with sources, understanding event capture, or learning about the push interface. Covers browser, dataLayer, and server source patterns.
Use when creating a new walkerOS transformer. Example-driven workflow for validation, enrichment, or redaction transformers.
Use when creating a new walkerOS destination. Example-driven workflow starting with research and examples before implementation.
Use when configuring event mappings for specific use cases. Provides recipes for GA4, Meta, custom APIs, and common transformation patterns.
Use when contributing to walkerOS, before writing code, or when unsure about project conventions. Covers build/test/lint workflow, XP principles, folder structure, and package usage.
Use when working with sources/destinations to understand standard logging patterns, replace console.log, or add logging to external API calls. Covers DRY principles, when to log, and migration patterns.
Use when learning walkerOS architecture, understanding data flow, or designing composable event pipelines. Covers Source→Collector→Destination pattern and separation of concerns.
Use when creating events, understanding event structure, or working with event properties. Covers entity-action naming, event properties, statelessness, and vendor-agnostic design.
Use when transforming events at any point in the flow (source→collector or collector→destination), configuring data/map/loop/condition, or understanding value extraction. Covers all mapping strategies.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.