Paid Ads Audit
AgriciDaniel/claude-ads
Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.
Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram…
$ npx skills add browser-act/skills --skill google-social-media-finder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install browser-act/skills google-social-media-finder --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/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/lead-generation/google-social-media-finder .claude/skills/google-social-media-finder && 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 "google-social-media-finder" agent skill from https://github.com/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finder into .claude/skills/google-social-media-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-social-media-finder", 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/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finderType 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 browser-act/skills --skill google-social-media-finder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install browser-act/skills google-social-media-finder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/lead-generation/google-social-media-finder .agents/skills/google-social-media-finder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-social-media-finder" agent skill from https://github.com/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finder into .agents/skills/google-social-media-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-social-media-finder", 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 browser-act/skills --skill google-social-media-finder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install browser-act/skills google-social-media-finder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/lead-generation/google-social-media-finder .cursor/skills/google-social-media-finder && 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 "google-social-media-finder" agent skill from https://github.com/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finder into .cursor/skills/google-social-media-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-social-media-finder", 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/browser-act/skills.git --path solutions/lead-generation/google-social-media-finder--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 browser-act/skills --skill google-social-media-finder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install browser-act/skills google-social-media-finder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/lead-generation/google-social-media-finder .gemini/skills/google-social-media-finder && 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 "google-social-media-finder" agent skill from https://github.com/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finder into .gemini/skills/google-social-media-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-social-media-finder", 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 browser-act/skills google-social-media-finderInstalls 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 browser-act/skills --skill google-social-media-finder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/lead-generation/google-social-media-finder .github/skills/google-social-media-finder && 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 "google-social-media-finder" agent skill from https://github.com/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finder into .github/skills/google-social-media-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-social-media-finder", 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 browser-act/skills --skill google-social-media-finder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install browser-act/skills google-social-media-finder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/lead-generation/google-social-media-finder .opencode/skills/google-social-media-finder && 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 "google-social-media-finder" agent skill from https://github.com/browser-act/skills/tree/main/solutions/lead-generation/google-social-media-finder into .opencode/skills/google-social-media-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-social-media-finder", 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.
google-social-media-finderSearches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram…
Google Social Media Finder is an agent skill from browser-act/skills. Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram, Facebook, LinkedIn, TikTok, YouTube, Pinterest, Reddit, Snapchat, Threads, and more. Use when user wants to find someone's social media accounts, look up social profiles, discover where a person is active online, find brand social media pages, search social accounts by name, track digital footprint, find influencer…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract-social-profiles.py`).
It sits in Marketing & SEO, covering Influencer and creator marketing and Lead generation. It works with Instagram, LinkedIn, Pinterest and Reddit. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.
Read from SKILL.md and the folder at commit 11c057b. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
google.cominstagram.comFrom 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.
Google Social Media Finder loads about 1.7k tokens when it runs. Until then it costs about 210 tokens; SKILL.md has 686 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); the scripts in this folder are not scanned.
The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 686 words, ~1,668 tokens.
.claude/skills/google-social-media-finder/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Name or brand → all social media profiles found on Google (platform, URL, username, bio, followers)
All process output to user (progress updates, process notifications) follows the user's language.
Given a person's name, brand name, or username, search Google and return all matching social media profile results from known platforms.
If browser-act has been confirmed available in the current session → skip this step.
Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the
scripts/directory, invoked viaeval "$(python scripts/xxx.py {params})".$(...)is bash syntax; it is recommended to use the bash tool for execution.
Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read scripts/*.py source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.
Navigate to the Google search page for the target name, then extract all social media profile results.
Step 1 — Navigate:
navigate https://www.google.com/search?q={name}+social+mediaReplace {name} with the person's or brand's name, using + in place of spaces (e.g., Taylor+Swift, Elon+Musk, Nike).
Step 2 — Wait for page:
wait stableStep 3 — Extract:
eval "$(python scripts/extract-social-profiles.py)"Output example:
{
"error": false,
"count": 5,
"results": [
{
"platform": "Instagram", // social media platform name
"username": "taylorswift", // handle or page name shown alongside platform
"url": "https://www.instagram.com/taylorswift/", // direct profile URL
"title": "Taylor Swift (@taylorswift) • Instagram photos and videos", // page title
"snippet": "274M followers · 0 following · 706 posts ...", // bio/description snippet from search result
"followers": "超过 2.7亿位关注者" // follower count as displayed (language depends on browser locale)
}
]
}On error: {"error": true, "message": "..."} — check that the browser navigated to a Google search page and .tF2Cxc result containers are present.
URL Pagination: URL pattern https://www.google.com/search?q={name}+social+media&start={offset}, where offset = (page - 1) * 10 (page 1 → start=0 or omit, page 2 → start=10, page 3 → start=20). Next page link: a#pnnext. Termination: a#pnnext is absent (last page reached) or no social media results returned.
result count >= 1 and platform and url fields are non-null for every item
/elonmusk and /elonmusk/with_replies from X); deduplicate by base URL if needed.tF2Cxc stops matching, inspect page HTML for updated container class namesPath: {working-directory}/browser-act-skill-forge-memories/social-media-finder-google-social-media-finder.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)
Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.
After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line:
{YYYY-MM-DD}: {what happened} → {conclusion}
Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.
© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in solutions/lead-generation/google-social-media-finder of browser-act/skills.
Open the folder on GitHubat commit 11c057b
Google Social Media Finder 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 |
|---|---|---|---|---|---|---|
| Google Social Media Finder this skillbrowser-act/skills | 6.1k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Paid Ads AuditAgriciDaniel/claude-ads | 9.9k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 212 | — | ~2.5k | Automated safety check: Notes | None | |
| Transcript IntelligenceScrapeCreators/social-media-research-skills | 3.4k | — | ~943 | Automated safety check: Notes | MIT | |
| Trend DiscoveryScrapeCreators/social-media-research-skills | 3.4k | — | ~789 | Automated safety check: Notes | MIT | |
| Apify Multi-Platform Scraperapify/agent-skills | 2.4k | 2 repos | ~1.4k | Automated safety check: Notes | None |
AgriciDaniel/claude-ads
Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts.
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche.
apify/agent-skills
Scrapes public data from social, maps, search and review platforms by choosing from about a hundred Apify Actors and running them through the Apify CLI.
ScrapeCreators/social-media-research-skills
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API.
browser-act/skills
Fetches structured Amazon product details such as title, price, ratings and availability for a given ASIN through BrowserAct's lookup API template.
browser-act/skills
Extracts structured Amazon product data for a keyword and marketplace through the BrowserAct API, including titles, prices, ratings, reviews, sales volume and promotions.
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
browser-act/skills
Pulls structured Amazon search results (titles, ASINs, prices, ratings, specifications) for a keyword and brand through BrowserAct's Amazon Product API template.
browser-act/skills
Collects structured product data from Amazon search results for a keyword and optional brand, using a BrowserAct script, for market and competitor research.
Categories
Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram…. Google Social Media Finder is an agent skill from browser-act/skills. Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram, Facebook, LinkedIn, TikTok, YouTube, Pinterest, Reddit, Snapchat, Threads, and more.
Google Social Media Finder fits situations like: user wants to find someones social media accounts; look up social profiles; discover where a person is active online; find brand social media pages.
Run `npx skills add browser-act/skills --skill google-social-media-finder -a claude-code`. Or copy the skill folder (solutions/lead-generation/google-social-media-finder in browser-act/skills) into .claude/skills/google-social-media-finder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add browser-act/skills --skill google-social-media-finder -a codex`. Or copy the skill folder (solutions/lead-generation/google-social-media-finder in browser-act/skills) into .agents/skills/google-social-media-finder 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 browser-act/skills --skill google-social-media-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-social-media-finder, .gemini/skills/google-social-media-finder, .github/skills/google-social-media-finder and .opencode/skills/google-social-media-finder in your project.
Going by SKILL.md and its folder, Google Social Media Finder needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: google.com and instagram.com; the agent is likely to contact these when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Google Social Media Finder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Google Social Media Finder: Paid Ads Audit (AgriciDaniel/claude-ads, 9.9k stars), Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars), Transcript Intelligence (ScrapeCreators/social-media-research-skills, 3.4k stars) and Trend Discovery (ScrapeCreators/social-media-research-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,126 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.
Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.