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Found 3,443 Skills
First run of the video agent skills - sets up video editing on the creator's computer and in their project - tools, the video-agent/ folder, the Remotion studio, the creator's voice.md, permissions, and the optional accounts (Treg for Instagram, TikTok and YouTube, an ElevenLabs key, Codex). Use when the user says setup, onboarding, install, "start here", configure, connect my account, Treg, first time using video-script, video-edit, video-publish or any video skill, or wants to update their voice, niche, CTA or brand color. Checks Node, ffmpeg, yt-dlp and git with install commands for macOS, Windows and Linux, writes voice.md from their own videos or a short interview, pre-approves the tool commands in .claude/settings.json.
Set up OpenSEO in the current AI agent. Use when a user pastes the OpenSEO installation prompt or asks to connect its plugin, MCP, and skills.
Create, import into, or resume a private career workspace (career/ with profile, projects, brand, assets, research). Use when the user wants to organize career notes, old resumes or profile exports into one workspace, or continue a saved setup.
Set up a paid-media client, account, data-source, privacy, and mutation-guardrail profile for Claude Ads. Use for onboarding, initial configuration, API tokens or credential profiles, environment-variable or keychain setup, connecting exports or read adapters, safe native or verified-local installation, curl-pipe-bash install requests, declaring KPIs, or preparing a new advertising project.
Identify a Kindle model, firmware, computer platform, and connection mode; verify a currently supported jailbreak route; then guide you through backup, KOReader installation, and the third-party WeRead plugin setup with explicit safety checks. This guide applies to Kindle WeRead setup, Kindle jailbreaking, KOReader installation, model and firmware identification, connection troubleshooting on Mac/Windows/Linux, and installation failure diagnosis; it is NOT intended for DRM removal or bulk book content acquisition.
Use for workflow setup when setting up or refreshing a repository for agent workflows by creating docs/agents/workflow/config.md with repo commands, planning artifacts, issue tracking, agent adapters, review gates, and environment safety rules.
Use when the user installs or starts using Runway Dev, needs to sign in or create a Developer Portal account, connect Dev MCP, verify account/project access, or finish setup after a developer_not_found error. Guide the user through the browser steps and continue with the task once setup succeeds.
Configure a repository for Beto Frega's engineering skills, including issue tracking, domain documentation, information-density rules, observability, and accessibility baselines. Run explicitly before first use or to fill a missing configuration document.
Use when preparing or updating the local Make development environment before development. Triggered by Make 环境安装, Make 环境初始化, 更新 Make 环境. Distinguishes new Apps from existing Apps whose runtime must be preserved; does not manage Make resources, deploy Apps, or write PRD, DSL, Service, or UI code; use makecli for resource/deploy operations and the owning skills for implementation.
Detect the env manager and bootstrap the runtime, agent-tools, and composed development environments. Detect with `python -m skore_skills env detect`, persist the manager and `env.managed`, then `env init --manager`, `env sync --execute`, install Skore for a recorded hub or mlflow destination (plain Skore when unset or local), and `env verify --execute`. Does not add other stage ML libraries. TRIGGER when the user asks for the env manager, pixi, uv, or a Python environment, or when none is recorded yet. SKIP later packages (add-python-package). SKIP scaffolding src/ (setup-workspace). HOW TO USE: detect, ask managed vs user-managed, ask the manager when needed, then env init, env sync, add Skore, and env verify. When setup-ml-project dispatched this turn, skip each ask whose answer is already recorded. One recorded answer does not skip the other ask.
Set up Ralph RLM in an existing OpenCode project by installing the package, running the opencode-ralph-rlm setup command, checking generated .opencode config, and verifying the provider/worker loop wiring. Use when a user asks to install, configure, initialize, troubleshoot setup for, or add opencode-ralph-rlm / Ralph RLM to a repository.
Configura um repositório para o pipeline: issue tracker e vocabulário de labels, a seção `## Commands` (lint/typecheck/test/build/clean) que o implementer lê como gate, a seção `## Fluxo` com as saídas recomendadas depois de um grill, o remote, o template de PR, a CI com esses gates e `npm audit`, os rótulos de risco e o `review-rules-projeto.md`. Rode uma vez por repositório, antes do primeiro uso de to-spec, to-tickets ou implement. Use quando o usuário disser "setup do projeto", "setup-project", "configura o tracker", "prepara o repo para o pipeline" ou variações.