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Opencli Usage

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jackwener
opencli-usage

Use at the start of any OpenCLI session — this is the top-level map of what `opencli` can do, how to discover adapters, what flags and output formats are universal, and which specialized skill to load next. Point here when an agent asks "what can opencli do?" or "how do I find the right command?".

Overview

Publisherjackwener
RepositoryOpenCLI
Skill nameopencli-usage
Stars
29.4K
Forks
2.9K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jackwener on GitHub. Read the source before you install it.

Installation

Install the Opencli Usage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jackwener/OpenCLI.git /tmp/OpenCLI
mkdir -p .claude/skills
cp -r /tmp/OpenCLI/skills/opencli-usage .claude/skills/opencli-usage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Opencli Usage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Opencli Usage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Opencli Usage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

opencli-usage

OpenCLI turns any website, Electron desktop app, or external CLI into a uniform opencli <site> <command> surface that agents can drive without screen-scraping. This skill is the orientation layer — once you know what you want to do, load one of the specialized skills below.

The three pillars

  • Adapter commandsopencli <site> <command> [...]. Built-in adapters live in clis/, user adapters in ~/.opencli/clis/. Each is backed by a strategy (PUBLIC | COOKIE | INTERCEPT | UI | LOCAL) that tells you whether a Chrome session is needed.
  • Browser drivingopencli browser * subcommands (open, state, click, type, select, find, extract, network, …) for ad-hoc interaction and scraping when no adapter covers the task. See opencli-browser.
  • Current-tab bindingopencli browser <session> bind attaches the Chrome tab the user already opened/logged into to that browser session. Follow-up commands use opencli browser <session> .... See opencli-browser before using it; bound sessions still block tab mutation.
  • External CLI passthroughopencli gh, opencli docker, opencli vercel, etc. Managed via opencli external install <name> (auto-install from external-clis.yaml) or opencli external register <name> (bring your own).

Install

bash
# npm global
npm install -g @jackwener/opencli          # binary: opencli, requires Node >= 21
opencli doctor                              # run before browser-dependent work (see below)

# From source
git clone git@github.com:jackwener/OpenCLI.git
cd OpenCLI && npm install
npx tsx src/main.ts <command>               # same surface, no global install

opencli doctor prints a structured DoctorReport — daemon status, extension connection, version checks, and a live browser connectivity probe. Scope is narrow: it diagnoses the browser bridge (daemon + extension + Chrome wiring). PUBLIC / LOCAL adapters, opencli list, validate, verify, plugin commands, and external-CLI passthrough don't need it to be green — only COOKIE / INTERCEPT / UI adapters and the opencli browser * subcommands do. Flag: -v (verbose).

Prerequisites by command type

Strategy tag on opencli listWhat it needs
PUBLICNothing — pure HTTP, no browser.
COOKIEChrome logged into the target site + OpenCLI extension installed from the Chrome Web Store. Command captures the credential from your live session — no re-login.
INTERCEPTSame as COOKIE, plus opencli opens an automation window to capture a signed request.
UISame as COOKIE, full DOM interaction.
LOCALNo browser; talks to a local/dev endpoint.

Electron desktop apps (cursor, codex, chatwise, discord-app, doubao-app, antigravity, chatgpt-app) route through CDP against the running app — same cookie-less flow as a logged-in browser. Make sure the app is running before invoking.

Discover what's installed — don't read this file, run a command

bash
opencli list                    # table, grouped by site
opencli list -f json            # machine-readable; pipe to jq or your agent
opencli list | grep -i twitter  # find commands for a specific site
opencli <site> --help           # see that site's commands + flags
opencli <site> <command> --help # see positional args and command-specific flags

Do not hard-code adapter lists — there are 100+ sites and the count moves every week. opencli list -f json is the source of truth; it emits one entry per command with {site, name, aliases, description, strategy, browser, args, columns, ...}. For an agent, that is always better than grepping a doc.

Before falling back to raw opencli browser commands on high-change authenticated sites, check whether a site adapter already exposes the workflow. For example, ChatGPT web has higher-level commands for conversation reads and Deep Research result extraction; discover the current surface with opencli chatgpt --help or opencli list -f json.

Universal flags (work on every adapter command)

flageffect
-f, --format <fmt>table (default in TTY) · yaml (default in non-TTY) · json · plain · md · csv. Pass explicitly when you want a specific shape; agents almost always want -f json.
-v, --verboseDebug logs + stack traces on failure; also sets OPENCLI_VERBOSE=1 for the process.

Command-specific flags (--limit, --tab, --filter, …) are not universal — consult <site> <command> --help.

Output formats

  • json — pretty-printed, 2-space indent. Default choice for agents.
  • plain — prints a single primary field for chat-style commands (response/content/text/value). Useful for piping to another tool.
  • yaml — fallback when output is not a TTY and -f is not explicit.
  • table — color-coded, site-grouped; meant for humans.
  • md, csv — straightforward tabular dumps.

A few commands override the default via cmd.defaultFormat (e.g. chat commands default to plain), so don't assume without reading --help.

Environment variables

variabledefaultpurpose
OPENCLI_BROWSER_CONNECT_TIMEOUT45Seconds to wait for the browser bridge.
OPENCLI_BROWSER_COMMAND_TIMEOUT60Per-command timeout.
OPENCLI_CDP_ENDPOINTManual CDP endpoint override (dev / remote Chrome / Electron).
OPENCLI_CACHE_DIR~/.opencli/cacheNetwork capture + browser-state cache.
OPENCLI_WINDOWcommand-specificforeground or background browser window mode.
OPENCLI_VERBOSEfalseVerbose logging (also triggered by -v).

Self-repair

When an adapter command fails because the site changed (selectors drifted, API rotated, response schema shifted), re-run with --trace retain-on-failure. The error envelope includes a trace block pointing at summary.md; patch only the adapterSourcePath from that summary and retry. Max 3 repair rounds. The full flow is in opencli-autofix.

Writing your own adapter

Two-path storage:

  • Private: ~/.opencli/clis/<site>/<command>.js — no build step, hot-available, not visible in the public package.
  • Public / PR: clis/<site>/<command>.js — for upstream contribution; requires build.

Scaffolding & verification:

bash
opencli browser init <site>/<command>   # generates a skeleton
opencli validate [target]               # semantic checks on the loaded registry (description, domain, pipeline step names, func|pipeline|_lazy presence, arg duplicates) — no network, no browser
opencli verify [target] [--smoke]       # run the command with synthetic args
opencli browser verify <site>/<command> # end-to-end smoke inside the bridge

Adapters import only @jackwener/opencli/registry and @jackwener/opencli/errors. columns must align 1:1 (in name and order) with keys of the object returned by func. For the full workflow see opencli-adapter-author.

Plugins

Plugins are third-party extensions pulled from git, separate from the main adapter registry:

bash
opencli plugin install github:user/repo    # install
opencli plugin list [-f json]              # see installed
opencli plugin update [name] | --all       # keep current
opencli plugin uninstall <name>
opencli plugin create <name>               # scaffold a new plugin

External CLI passthrough

Wraps external command-line tools so you can discover + invoke them through the same opencli … entrypoint:

bash
opencli external install gh    # auto-install via brew/apt/npm per external-clis.yaml
opencli external register my-tool \
    --binary my-tool \
    --install "npm i -g my-tool" \
    --desc "My internal CLI"
opencli external list
opencli gh pr list --limit 5   # passthrough; stdio is inherited, exit code propagated
opencli docker ps

Built-in entries live in src/external-clis.yaml; user overrides and additions in ~/.opencli/external-clis.yaml. Commonly shipped: gh, docker, vercel, lark-cli, longbridge, dws, wecom-cli, obsidian, ntn, tg(tg-cli), discord(discord-cli), wx(wx-cli).

Some official CLIs use shell-script installers instead of a shell-free package-manager command. Entries without an install config, such as ntn, must be installed manually from their homepage before passthrough use.

Shell completion

bash
opencli completion bash   # also: zsh, fish
# -> script on stdout; source or save per your shell's convention

Where to go next

If you're about to…Load this skill
Drive a live browser ad-hoc (no adapter available, or prototyping)opencli-browser
Write a new adapter, or add a command to an existing siteopencli-adapter-author
Fix a broken adapter after a command failureopencli-autofix
Route a search / lookup / research request to the right adaptersmart-search

Commands that used to exist

The following were removed in the PR #1094 consolidation — don't try to invoke them:

  • opencli explore <url> — superseded by opencli browser network + opencli browser find for live API discovery, and by the opencli-adapter-author workflow for capture.
  • opencli record <url> — removed; manual capture now lives in opencli browser network --detail.
  • opencli web read / opencli desktop * as top-level groups — folded into their respective adapters (opencli web read still exists as the web adapter's read command, but there is no standalone web / desktop top-level group command).

Don't

  • Don't paste this skill's command list into your plan; it will rot. Call opencli list -f json at the start of a task instead.
  • Don't assume every adapter needs a browser — strategy PUBLIC and LOCAL don't. Check the strategy field.
  • Don't silently fall back from a failing adapter to a hand-rolled fetch--trace retain-on-failure gives you the browser evidence and adapter source path. Do that first.

Frequently asked questions

What does the Opencli Usage AI skill do?

Use at the start of any OpenCLI session — this is the top-level map of what `opencli` can do, how to discover adapters, what flags and output formats are universal, and which specialized skill to load next. Point here when an agent asks "what can opencli do?" or "how do I find the right command?".

Why use Opencli Usage on TypingMind?

Because you install it once and use it with any model. Opencli Usage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Opencli Usage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jackwener/OpenCLI/tree/main/skills/opencli-usage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Opencli Usage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Opencli Usage?

As many as you like. As long as a model supports skills, you can use Opencli Usage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Opencli Usage AI skill free?

Yes. It is published on GitHub by jackwener under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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