skill

Cli Creator

OpenAI0+ تثبيتموثوق

نبذة

# CLI Creator

Create a real CLI that future Codex threads can run by command name from any working directory.

This skill is for durable tools, not one-off scripts. If a short script in the current repo solves the task, write the script there instead.

## Start

Name the target tool, its source, and the first real jobs it should do:

- Source: API docs, OpenAPI JSON, SDK docs, curl examples, browser app, existing internal script, article, or working shell history. - Jobs: literal reads/writes such as `list drafts`, `download failed job logs`, `search messages`, `upload media`, `read queue schedule`. - Install name: a short binary name such as `ci-logs`, `slack-cli`, `sentry-cli`, or `buildkite-logs`.

Prefer a new folder under `~/code/clis/<tool-name>` when the user wants a personal tool and has not named a repo.

Before scaffolding, check whether the proposed command already exists:

```bash command -v <tool-name> || true ```

If it exists, choose a clearer install name or ask the user.

## Choose the Runtime

Before choosing, inspect the user's machine and source material:

```bash command -v cargo rustc node pnpm npm python3 uv || true ```

Then choose the least surprising toolchain:

- Default to **Rust** for a durable CLI Codex should run from any repo: one fast binary, strong argument parsing, good JSON handling, easy copy/install into `~/.local/bin`. - Use **TypeScript/Node** when the official SDK, auth helper, browser automation library, or existing repo tooling is the reason the CLI can be better. - Use **Python** when the source is data science, local file transforms, notebooks, SQLite/CSV/JSON analysis, or Python-heavy admin tooling that can still be installed as a durable command.

Do not pick a language that adds setup friction unless it materially improves the CLI. If the best language is not installed, either install the missing toolchain with the user's approval or choose the next-best installed option.

State the choice in one sentence before scaffolding, including the reason and the installed toolchain you found.

## Command Contract

Sketch the command surface in chat before coding. Include the binary name, discovery commands, resolve or ID-lookup commands, read commands, write commands, raw escape hatch, auth/config choice, and PATH/install command.

When designing the command surface, read [references/agent-cli-patterns.md](references/agent-cli-patterns.md) for the expected composable CLI shape.

Build toward this surface:

- `tool-name --help` shows every major capability. - `tool-name --json doctor` verifies config, auth, version, endpoint reachability, and missing setup. - `tool-name init ...` stores local config when env-only auth is painful. - Discovery commands find accounts, projects, workspaces, teams, queues, channels, repos, dashboards, or other top-level containers. - Resolve commands turn names, URLs, slugs, permalinks, customer input, or build links into stable IDs so future commands do not repeat broad searches. - Read commands fetch exact objects and list/search collections. Paginated lists support a bounded `--limit`, cursor, offset, or clearly documented default. - Write commands do one named action each: create, update, delete, upload, schedule, retry, comment, draft. They accept the narrowest stable resource ID, support `--dry-run`, `draft`, or `preview` first when the service allows it, and do not hide writes inside broad commands such as `fix`, `debug`, or `auto`. - `--json` returns stable machine-readable output. - A raw escape hatch exists: `request`, `tool-call`, `api`, or the nearest honest name.

Do not expose only a generic `request` command. Give Codex high-level verbs for the repeated jobs.

Document the JSON policy in the CLI README or equivalent: API pass-through versus CLI envelope, success shape, error shape, and one example for each command family. Under `--json`, errors must be machine-readable and must not contain credentials.

## Auth and Config

Support the boring paths first, in this precedence order:

1. Environment variable using the service's standard name, such as `GITHUB_TOKEN`. 2. User config under `~/.<tool-name>/config.toml` or another simple documented path. 3. `--api-key` or a tool-specific token flag only for explicit one-off tests. Prefer env/config for normal use because flags can leak into shell history or process listings.

Never print full tokens. `doctor --json` should say whether a token is available, the auth source category (`flag`, `env`, `config`, provider default, or missing), and what setup step is missing.

If the CLI can run without network or auth, make that explicit in `doctor --json`: report fixture/offline mode, whether fixture data was found, and whether auth is not required for that mode.

For internal web apps sourced from DevTools curls, create sanitized endpoint notes before implementing: resource name, method/path, required headers, auth mechanism, CSRF behavior, request body, response ID fields, pagination, er

التثبيت

شغل هذا الأمر

git clone https://github.com/openai/skills && cp -r skills/skills/.curated/cli-creator ~/.claude/skills/

يعمل مع

claude appclaude codeclaude apicursorcodexwindsurfclinezed

خطوات التثبيت

Clone the repository and copy the `skills/.curated/cli-creator` folder into your Claude skills directory. Compatible with Claude Code, Cursor, Codex, and any Agent Skills-compatible agent.

عرض المصدر
الرخصة: Apache-2.0بواسطة OpenAI

أسئلة شائعة

كيف أثبت Cli Creator؟

شغل هذا الأمر في الطرفية:

git clone https://github.com/openai/skills && cp -r skills/skills/.curated/cli-creator ~/.claude/skills/
مع أي أدوات ذكاء اصطناعي تعمل Cli Creator؟

تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.

من طور Cli Creator؟

طورها OpenAI، وتصدر بترخيص Apache-2.0.

هل Cli Creator مجانية؟

نعم، يمكنك استخدامها مجانا وفق ترخيص Apache-2.0.

أصول ذات صلة

مختارات أخرى في إنشاء المحتوى.

كل بدائل Cli Creator ←

افحص قبل التثبيت

شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.

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