Chrome Devtools
einverne/dotfiles
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts.
Patterns for invoking the Apify CLI (apify) from agents. An agent skill from apify/apify-cli.
$ npx skills add apify/apify-cli --skill apify-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install apify/apify-cli apify-cli --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/apify/apify-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/apify .claude/skills/apify-cli && 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 "apify-cli" agent skill from https://github.com/apify/apify-cli/tree/master/skills/apify into .claude/skills/apify-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apify-cli", 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/apify/apify-cli/tree/master/skills/apifyType 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 apify/apify-cli --skill apify-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install apify/apify-cli apify-cli --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/apify/apify-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/apify .agents/skills/apify-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "apify-cli" agent skill from https://github.com/apify/apify-cli/tree/master/skills/apify into .agents/skills/apify-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apify-cli", 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 apify/apify-cli --skill apify-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install apify/apify-cli apify-cli --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/apify/apify-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/apify .cursor/skills/apify-cli && 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 "apify-cli" agent skill from https://github.com/apify/apify-cli/tree/master/skills/apify into .cursor/skills/apify-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apify-cli", 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/apify/apify-cli.git --path skills/apify--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 apify/apify-cli --skill apify-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install apify/apify-cli apify-cli --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/apify/apify-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/apify .gemini/skills/apify-cli && 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 "apify-cli" agent skill from https://github.com/apify/apify-cli/tree/master/skills/apify into .gemini/skills/apify-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apify-cli", 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 apify/apify-cli apify-cliInstalls 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 apify/apify-cli --skill apify-cli -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/apify/apify-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/apify .github/skills/apify-cli && 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 "apify-cli" agent skill from https://github.com/apify/apify-cli/tree/master/skills/apify into .github/skills/apify-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apify-cli", 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 apify/apify-cli --skill apify-cli -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install apify/apify-cli apify-cli --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/apify/apify-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/apify .opencode/skills/apify-cli && 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 "apify-cli" agent skill from https://github.com/apify/apify-cli/tree/master/skills/apify into .opencode/skills/apify-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apify-cli", 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.
apify-cliPatterns for invoking the Apify CLI (apify) from agents. An agent skill from apify/apify-cli.
Apify CLI is an agent skill from apify/apify-cli, published by the product's own GitHub organization. Patterns for invoking the Apify CLI (apify) from agents. Covers authentication, creating/running/pushing Actors, calling Actors in the cloud, and reading results from datasets and key-value stores.
Its SKILL.md is about 1.5k 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 Data & Analytics, covering Web scraping. It works with Apify and Puppeteer. The repository describes itself as: Apify command-line interface helps you create, develop, build and run Apify Actors, and manage the Apify cloud platform. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit e79c9df. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From 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:
raw.githubusercontent.comAlso links to:
apify.comconsole.apify.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
APIFY_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Apify CLI loads about 1.5k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 591 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 apify/apify-cli at commit e79c9df, republished under its Apache-2.0 licence (© apify). 591 words, ~1,530 tokens.
.claude/skills/apify-cli/SKILL.md (or your agent's skills folder).Run apify -h first to see the available commands and global options, then apify <command> -h (e.g. apify call -h) for the args and flags of a specific command. This is the source of truth — prefer it over assumptions.
Many commands prompt when run interactively. To run without prompts, pass every required argument and flag explicitly:
apify create <name> --template <template> — skip the create wizard.apify init <name> — skip the init prompt.-y / --yes on destructive commands (apify actors rm, etc.) — auto-confirm.apify login --token <token> — log in without the interactive token prompt.If a command's help shows an "interactive note", it lists exactly which flags make it non-interactive.
See https://apify.com/auth.md for how to authenticate. Do not assume APIFY_TOKEN is already set in the environment and use it implicitly — confirm with the user first.
APIFY_TOKEN wins over a stored login, for every command. When it is set, apify login refuses to run unless --token passes the same token — unset APIFY_TOKEN first, or skip the login.
apify login --token <token>. Exits non-zero on a rejected token, so apify login --token <t> && apify push is safe to chain.apify info (prints the username, user ID, and which source the token came from; non-zero exit / error if not authenticated).apify auth token (the APIFY_TOKEN one when set, otherwise the stored login's).--json is supported on most list/info commands (apify actors ls --json, apify actors info <id> --json, apify datasets info <id> --json, apify runs ls --json, etc.). Use it and parse with jq; don't scrape the human table.apify create <name> --template <template> --json prints { dir, actorJsonPath, template, source, nextSteps, postCreate, gitRepositoryInitialized } on stdout. Everything else goes to stderr, so stdout is safe to pipe into jq. postCreate is non-null when the template needs extra setup before apify run works.--limit / --offset (and --desc).apify datasets get-items <datasetId> --format json. Use --limit / --offset.Discover Actors in the Apify Store
Before assuming an Actor name or scripting a raw Store query, search for an existing Actor:
apify actors search "jobs scraper" --json # no auth required
apify actors search "ai" --pricing-model FREE --sort-by popularity --limit 5Run apify actors search -h to see the available filters (pricing model, category, username, sort order, pagination) and their accepted values.
Pricing matters, but weigh it alongside popularity, rating, and how well-maintained the Actor is — don't pick a FREE Actor over a well-supported, popular, highly-rated one just because it's free. Check an Actor's pricing before running it with apify actors info <actor> --json (look at currentPricingInfo).
Develop and deploy a local Actor
apify create my-actor --template <template> # or run `apify create` and pick interactively
# template names: https://raw.githubusercontent.com/apify/actor-templates/master/templates/manifest.json
cd my-actor
apify run # run locally; --input / --input-file - for input
apify push # build & deploy to the platformRun an Actor in the cloud and get results
apify call apify/website-content-crawler -i '{"startUrls":[{"url":"https://example.com"}]}' --json
# or non-blocking: apify actors start <actor> --json (returns run details immediately)
# inspect input schema first: apify actors info <actor> --inputNon-obvious apify call flags: -f - reads input from stdin; -o/--output-dataset prints the result dataset. Run apify call -h for the full list.
Wait for and inspect runs/builds
apify runs ls --json
apify runs info <runId> --json
apify runs wait <runId> # block until finished
apify runs log <runId>
apify builds wait <buildId>Storage
apify datasets get-items <datasetId> --format json
apify key-value-stores get-value <storeId> <key>
apify key-value-stores set-value <storeId> <key> <value>
apify key-value-stores keys <storeId> --jsonFor anything recurring or unattended (e.g. "run every 15 minutes"), use the Apify platform — not local cron, a while loop, or GitHub Actions. Apify Schedules run in the cloud, so they keep firing after your laptop, terminal, or agent session is shut down.
apify task run <taskId>.apify schedules command yet — manage schedules via apify api against the schedules endpoint, or in the Console (https://console.apify.com/schedules):apify api GET schedules
apify api POST schedules -d '{"name":"jobs-every-15m","cronExpression":"*/15 * * * *","isEnabled":true,"actions":[{"type":"RUN_ACTOR","actorId":"<actorId>","runInput":{"body":"<json>","contentType":"application/json"}}]}'apify apiAny platform capability without a dedicated command is reachable via the authenticated API wrapper (use this instead of hand-rolling curl against api.apify.com — it injects auth for you):
apify api --list-endpoints # discover endpoints (filter with -s "<tokens>")
apify api --describe "actor-runs/{runId}" # methods, summary, path params for an endpoint
apify api GET /v2/users/me # GET is the default method
apify api POST acts -d '<json>' -p '{"limit":1}' # -d body (use - for stdin), -p query paramsThe v2/ prefix and leading slash are optional.
© apify, 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 skills/apify of apify/apify-cli.
Open the folder on GitHubat commit e79c9df
Apify CLI 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 |
|---|---|---|---|---|---|---|
| Apify CLI this skillapify/apify-cli | 255 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Chrome Devtoolseinverne/dotfiles | 121 | 1 repos | ~1.6k | Automated safety check: Notes | Apache-2.0 | |
| Optimize Button Patternsduckduckgo/tracker-radar-collector | 169 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Apify Collectextrasmall0/dear-hiring-manager | 111 | — | ~1.1k | Automated safety check: Notes | MIT | |
| Blog Feed Monitorgooseworks-ai/goose-skills | 1.2k | 1 repos | ~578 | Automated safety check: Pass | MIT | |
| Apify Product Data Setupapify/awesome-skills | 262 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
einverne/dotfiles
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts.
duckduckgo/tracker-radar-collector
Iteratively improves cookie-popup button regex patterns in button-patterns.js against labelled-button-texts.csv.
extrasmall0/dear-hiring-manager
Collect fresh job-posting URLs into ~/.dear-hiring-manager/urls.txt by running an Apify job scraper — the discovery source for /batch.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
apify/awesome-skills
Wire an AI agent to live e-commerce product data using Apify's E-commerce Scraping Tool over MCP, either as runtime tool calls or as a scheduled refresh into a vector store.
charlie-chann/ai-agent-langgraph-main
网页数据抓取专家。能提取网页正文、表格、列表、特定元素。适用于:竞品监控、价格追踪、结构化数据采集. An agent skill from charlie-chann/ai-agent-langgraph-main.
Categories
Patterns for invoking the Apify CLI (apify) from agents. An agent skill from apify/apify-cli. Apify CLI is an agent skill from apify/apify-cli, published by the product's own GitHub organization. Patterns for invoking the Apify CLI (apify) from agents.
Apify CLI fits situations like: tasks that involve Web scraping.
Run `npx skills add apify/apify-cli --skill apify-cli -a claude-code`. Or copy the skill folder (skills/apify in apify/apify-cli) into .claude/skills/apify-cli in your project. Claude Code loads it when a task matches its description.
Run `npx skills add apify/apify-cli --skill apify-cli -a codex`. Or copy the skill folder (skills/apify in apify/apify-cli) into .agents/skills/apify-cli 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 apify/apify-cli --skill apify-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apify-cli, .gemini/skills/apify-cli, .github/skills/apify-cli and .opencode/skills/apify-cli in your project.
Going by SKILL.md and its folder, Apify CLI needs credentials named APIFY_TOKEN. Our summary lists: A credential in APIFY_TOKEN.
SKILL.md names 3 domains. In commands or code: raw.githubusercontent.com; the agent is likely to contact it when it follows the instructions. As links in the text: apify.com and console.apify.com. 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.
Apify CLI 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 1.5k tokens (SKILL.md is roughly 6.1k 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 Apify CLI: Chrome Devtools (einverne/dotfiles, 121 stars), Optimize Button Patterns (duckduckgo/tracker-radar-collector, 169 stars), Apify Collect (extrasmall0/dear-hiring-manager, 111 stars) and Blog Feed Monitor (gooseworks-ai/goose-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
apify (a GitHub organization, an official publisher) maintains it in apify/apify-cli, which has 255 GitHub stars. The repository was last updated on October 6, 2026.
Source: apify/apify-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.