Youtube Channel Operator
swyxio/skills
Design, build, review, or extend a production YouTube channel operator that combines complete typed YouTube Data, Analytics, Reporting, and Live API access with guided Slack or chatbot workflows…
Install and configure Paid Media Agent, connect ad platforms, choose MDA or self-hosting, and diagnose setup without exposing credentials.
$ npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/paid-media-agent paid-media-onboarding --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langchain-ai/paid-media-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/paid-media-onboarding .claude/skills/paid-media-onboarding && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "paid-media-onboarding" agent skill from https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboarding into .claude/skills/paid-media-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-media-onboarding", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboardingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/paid-media-agent paid-media-onboarding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/paid-media-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/paid-media-onboarding .agents/skills/paid-media-onboarding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paid-media-onboarding" agent skill from https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboarding into .agents/skills/paid-media-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-media-onboarding", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/paid-media-agent paid-media-onboarding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/paid-media-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/paid-media-onboarding .cursor/skills/paid-media-onboarding && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "paid-media-onboarding" agent skill from https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboarding into .cursor/skills/paid-media-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-media-onboarding", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langchain-ai/paid-media-agent.git --path .agents/skills/paid-media-onboarding--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/paid-media-agent paid-media-onboarding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/paid-media-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/paid-media-onboarding .gemini/skills/paid-media-onboarding && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "paid-media-onboarding" agent skill from https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboarding into .gemini/skills/paid-media-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-media-onboarding", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langchain-ai/paid-media-agent paid-media-onboardingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/paid-media-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/paid-media-onboarding .github/skills/paid-media-onboarding && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "paid-media-onboarding" agent skill from https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboarding into .github/skills/paid-media-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-media-onboarding", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/paid-media-agent paid-media-onboarding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/paid-media-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/paid-media-onboarding .opencode/skills/paid-media-onboarding && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "paid-media-onboarding" agent skill from https://github.com/langchain-ai/paid-media-agent/tree/main/.agents/skills/paid-media-onboarding into .opencode/skills/paid-media-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-media-onboarding", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
paid-media-onboardingInstall and configure Paid Media Agent, connect ad platforms, choose MDA or self-hosting, and diagnose setup without exposing credentials.
Paid Media Onboarding is an agent skill from langchain-ai/paid-media-agent, published by the product's own GitHub organization. Install and configure Paid Media Agent, connect ad platforms, choose MDA or self-hosting, and diagnose setup without exposing credentials.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Paid advertising. It works with LangGraph, LangSmith and Slack. The repository describes itself as: Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents. The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a4d59f2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Paid Media Onboarding loads about 548 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 265 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from langchain-ai/paid-media-agent at commit a4d59f2, republished under its Apache-2.0 licence (© langchain-ai). 265 words, ~548 tokens.
.claude/skills/paid-media-onboarding/SKILL.md (or your agent's skills folder).README.md, install with uv sync, then run
uv run paid-media-agent demo --with-proposal to verify the fixture path without credentials.uv run paid-media-agent setup or
uv run paid-media-agent config set. Use provider:model; LangSmith Gateway is optional.
Run uv run paid-media-agent doctor and resolve missing dependencies or configuration.accounts discover and accounts add to select aliases. Check connections before
relying on live data. Keep secrets and provider account IDs out of chat.paid-media-org-onboarding skill to write business context and custom runtime
skills locally. The setup console configures connections and deployment, not business context.
Offer company report styling through paid-media-design. Record lasting brand choices in
workspace/skills/report-design/DESIGN.md and apply the matching renderer tokens. Use the
shipped defaults when no company style is supplied.OPERATIONS.md. MDA manages the runtime, sandbox, and Slack;
self-hosting uses Docker, Postgres, and an optional Slack app. Review the chosen settings,
then deploy only when the user requests it. MDA includes the declared sandbox setup recipe.
Inspect source files before deployment: MDA archives ordinary project files even if Git ignores
them. Keep sensitive source briefs outside the deploy directory.docs/operations/live-write-runbook.md.Use customization for workspace context, runtime skills, memory, and optional warehouse connections. Report missing configuration by name without its value.
© langchain-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/paid-media-onboarding of langchain-ai/paid-media-agent.
Open the folder on GitHubat commit a4d59f2
Paid Media Onboarding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Paid Media Onboarding this skilllangchain-ai/paid-media-agent | 103 | — | ~548 | Automated safety check: Pass | Apache-2.0 | |
| Youtube Channel Operatorswyxio/skills | 176 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Chatgpt Image Adkrusemediallc/arcads-claude-code | 1.6k | — | ~2.7k | Automated safety check: Notes | MIT | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| LangSmith Trace DebuggingComposioHQ/awesome-claude-skills | 77k | 8 repos | ~2.7k | Automated safety check: Pass | None |
swyxio/skills
Design, build, review, or extend a production YouTube channel operator that combines complete typed YouTube Data, Analytics, Reporting, and Live API access with guided Slack or chatbot workflows…
krusemediallc/arcads-claude-code
Generate one or more standalone Meta image-ad creatives via ChatGPT Image 2 (gpt-image-2) through the Arcads external API.
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
AgriciDaniel/claude-blog
Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity…
ComposioHQ/awesome-claude-skills
Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes…
langchain-ai/paid-media-agent
Analyze paid-media performance, compare periods or entities, diagnose issues, and make evidence-backed recommendations across connected ad platforms.
langchain-ai/paid-media-agent
Configure company branding or update report design, tokens, templates, and runtime design guidance.
langchain-ai/paid-media-agent
The paid-media business wiki the other skills route to. An agent skill from langchain-ai/paid-media-agent.
langchain-ai/paid-media-agent
Apply company design rules to HTML reports, PDFs, and briefs.
Categories
Install and configure Paid Media Agent, connect ad platforms, choose MDA or self-hosting, and diagnose setup without exposing credentials. Paid Media Onboarding is an agent skill from langchain-ai/paid-media-agent, published by the product's own GitHub organization. Install and configure Paid Media Agent, connect ad platforms, choose MDA or self-hosting, and diagnose setup without exposing credentials.
Paid Media Onboarding fits situations like: tasks that involve Paid advertising.
Run `npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a claude-code`. Or copy the skill folder (.agents/skills/paid-media-onboarding in langchain-ai/paid-media-agent) into .claude/skills/paid-media-onboarding in your project. Claude Code loads it when a task matches its description.
Run `npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a codex`. Or copy the skill folder (.agents/skills/paid-media-onboarding in langchain-ai/paid-media-agent) into .agents/skills/paid-media-onboarding in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langchain-ai/paid-media-agent --skill paid-media-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paid-media-onboarding, .gemini/skills/paid-media-onboarding, .github/skills/paid-media-onboarding and .opencode/skills/paid-media-onboarding in your project.
Going by SKILL.md and its folder, Paid Media Onboarding needs the command-line tools its instructions call (uv). Our summary lists: Docker.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Paid Media Onboarding is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 548 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Paid Media Onboarding: Youtube Channel Operator (swyxio/skills, 176 stars), Chatgpt Image Ad (krusemediallc/arcads-claude-code, 1.6k stars), Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars) and Blog Google (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/paid-media-agent, which has 103 GitHub stars. The repository was last updated on October 10, 2026.
Source: langchain-ai/paid-media-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.