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OpenClaw Agent
2026-02-09 23:25:01 +08:00
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commit 79381bf0ba
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skills/action-gen/.clawhub/origin.json
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{
"version": 1,
"registry": "https://clawhub.ai",
"slug": "action-gen",
"installedVersion": "1.0.0",
"installedAt": 1770282130236
}
skills/action-gen/README.md
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# ai-github-action
Generate GitHub Actions workflows from plain English. Stop copy-pasting from StackOverflow.
## Install
```bash
npm install -g ai-github-action
```
## Usage
```bash
npx ai-github-action "test and deploy on push to main"
npx ai-github-action "run eslint and prettier on PRs" --install
npx ai-github-action "build docker image and push to ECR" -o deploy.yml
```
## Options
- `--install` - Write directly to `.github/workflows/`
- `-o, --output <file>` - Write to specific file
## Setup
```bash
export OPENAI_API_KEY=sk-...
```
## License
MIT
skills/action-gen/SKILL.md
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---
name: github-action-gen
description: Generate GitHub Actions workflows from plain English. Use when setting up CI.
---
# GitHub Action Generator
Stop copy-pasting workflow YAML from StackOverflow. Describe what you want and get a working GitHub Actions workflow.
**One command. Zero config. Just works.**
## Quick Start
```bash
npx ai-github-action "test and deploy on push to main"
```
## What It Does
- Generates complete GitHub Actions workflow files
- Handles common patterns like test, build, deploy
- Includes caching for faster runs
- Supports multiple deploy targets
## Usage Examples
```bash
# Test and deploy
npx ai-github-action "test and deploy on push to main"
# PR checks
npx ai-github-action "run eslint and prettier on PRs" --install
# Docker workflow
npx ai-github-action "build docker image and push to ECR" -o deploy.yml
# Scheduled job
npx ai-github-action "run database backup every night at 2am"
```
## Best Practices
- **Use secrets** - never hardcode credentials
- **Cache dependencies** - saves minutes per run
- **Fail fast** - run quick checks first
- **Use matrix builds** - test multiple node versions
## When to Use This
- Setting up CI for a new repo
- Adding deployment automation
- Creating custom workflows
- Learning GitHub Actions syntax
## Part of the LXGIC Dev Toolkit
This is one of 110+ free developer tools built by LXGIC Studios. No paywalls, no sign-ups, no API keys on free tiers. Just tools that work.
**Find more:**
- GitHub: https://github.com/LXGIC-Studios
- Twitter: https://x.com/lxgicstudios
- Substack: https://lxgicstudios.substack.com
- Website: https://lxgic.dev
## Requirements
No install needed. Just run with npx. Node.js 18+ recommended. Needs OPENAI_API_KEY environment variable.
```bash
npx ai-github-action --help
```
## How It Works
Takes your plain English description and generates GitHub Actions YAML with the right triggers, jobs, and steps. The AI knows common patterns and best practices for different workflows.
## License
MIT. Free forever. Use it however you want.
skills/action-gen/_meta.json
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{
"ownerId": "kn7as1q30eykdpxycyg4tp01n9802dwe",
"slug": "action-gen",
"version": "1.0.0",
"publishedAt": 1769626782553
}
skills/action-gen/dist/cli.d.ts
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#!/usr/bin/env node
export {};
skills/action-gen/dist/cli.js
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#!/usr/bin/env node
"use strict";
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
if (k2 === undefined) k2 = k;
var desc = Object.getOwnPropertyDescriptor(m, k);
if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
desc = { enumerable: true, get: function() { return m[k]; } };
}
Object.defineProperty(o, k2, desc);
}) : (function(o, m, k, k2) {
if (k2 === undefined) k2 = k;
o[k2] = m[k];
}));
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
Object.defineProperty(o, "default", { enumerable: true, value: v });
}) : function(o, v) {
o["default"] = v;
});
var __importStar = (this && this.__importStar) || (function () {
var ownKeys = function(o) {
ownKeys = Object.getOwnPropertyNames || function (o) {
var ar = [];
for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
return ar;
};
return ownKeys(o);
};
return function (mod) {
if (mod && mod.__esModule) return mod;
var result = {};
if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
__setModuleDefault(result, mod);
return result;
};
})();
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
const commander_1 = require("commander");
const ora_1 = __importDefault(require("ora"));
const fs = __importStar(require("fs"));
const path = __importStar(require("path"));
const index_1 = require("./index");
const program = new commander_1.Command();
program
.name("ai-github-action")
.description("Generate GitHub Actions workflows from plain English")
.version("1.0.0")
.argument("<description>", "Describe the workflow you need")
.option("-o, --output <file>", "Output file path")
.option("--install", "Write to .github/workflows/ directory", false)
.action(async (description, opts) => {
const spinner = (0, ora_1.default)("Generating workflow...").start();
try {
const yaml = await (0, index_1.generateWorkflow)(description);
spinner.stop();
if (opts.install) {
const dir = ".github/workflows";
fs.mkdirSync(dir, { recursive: true });
const file = path.join(dir, "ai-generated.yml");
fs.writeFileSync(file, yaml);
console.log(`Workflow written to ${file}`);
}
else if (opts.output) {
fs.writeFileSync(opts.output, yaml);
console.log(`Workflow written to ${opts.output}`);
}
else {
console.log("\n" + yaml + "\n");
}
}
catch (err) {
spinner.fail(err.message);
process.exit(1);
}
});
program.parse();
skills/action-gen/dist/index.d.ts
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export declare function generateWorkflow(description: string): Promise<string>;
skills/action-gen/dist/index.js
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"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.generateWorkflow = generateWorkflow;
const openai_1 = __importDefault(require("openai"));
const openai = new openai_1.default({ apiKey: process.env.OPENAI_API_KEY });
async function generateWorkflow(description) {
const res = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
{
role: "system",
content: "You are a DevOps expert. Generate a complete GitHub Actions workflow YAML file based on the description. Use best practices: proper triggers, caching, environment variables, and job dependencies. Return ONLY the YAML content, no explanation.",
},
{
role: "user",
content: `Create a GitHub Actions workflow: ${description}`,
},
],
temperature: 0.3,
});
return res.choices[0].message.content || "";
}
skills/action-gen/package-lock.json
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"version": "3.0.1",
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
"integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
"license": "BSD-2-Clause"
},
"node_modules/whatwg-url": {
"version": "5.0.0",
"resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
"integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
"license": "MIT",
"dependencies": {
"tr46": "~0.0.3",
"webidl-conversions": "^3.0.0"
}
}
}
}
skills/action-gen/package.json
-14
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@@ -1,14 +0,0 @@
{
"name": "ai-github-action",
"version": "1.0.0",
"description": "Generate GitHub Actions workflows from plain English descriptions",
"main": "dist/index.js",
"bin": { "ai-github-action": "dist/cli.js" },
"scripts": { "build": "tsc" },
"keywords": ["github", "actions", "ci", "cd", "workflow", "ai"],
"license": "MIT",
"dependencies": { "commander": "^12.1.0", "openai": "^4.73.0", "ora": "^5.4.1" },
"devDependencies": { "typescript": "^5.6.0", "@types/node": "^22.0.0" },
"author": "LXGIC Studios",
"repository": { "type": "git", "url": "https://github.com/lxgicstudios/ai-github-action" }
}
skills/action-gen/src/cli.ts
-41
View File
@@ -1,41 +0,0 @@
#!/usr/bin/env node
import { Command } from "commander";
import ora from "ora";
import * as fs from "fs";
import * as path from "path";
import { generateWorkflow } from "./index";
const program = new Command();
program
.name("ai-github-action")
.description("Generate GitHub Actions workflows from plain English")
.version("1.0.0")
.argument("<description>", "Describe the workflow you need")
.option("-o, --output <file>", "Output file path")
.option("--install", "Write to .github/workflows/ directory", false)
.action(async (description, opts) => {
const spinner = ora("Generating workflow...").start();
try {
const yaml = await generateWorkflow(description);
spinner.stop();
if (opts.install) {
const dir = ".github/workflows";
fs.mkdirSync(dir, { recursive: true });
const file = path.join(dir, "ai-generated.yml");
fs.writeFileSync(file, yaml);
console.log(`Workflow written to ${file}`);
} else if (opts.output) {
fs.writeFileSync(opts.output, yaml);
console.log(`Workflow written to ${opts.output}`);
} else {
console.log("\n" + yaml + "\n");
}
} catch (err: any) {
spinner.fail(err.message);
process.exit(1);
}
});
program.parse();
skills/action-gen/src/index.ts
-21
View File
@@ -1,21 +0,0 @@
import OpenAI from "openai";
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
export async function generateWorkflow(description: string): Promise<string> {
const res = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
{
role: "system",
content: "You are a DevOps expert. Generate a complete GitHub Actions workflow YAML file based on the description. Use best practices: proper triggers, caching, environment variables, and job dependencies. Return ONLY the YAML content, no explanation.",
},
{
role: "user",
content: `Create a GitHub Actions workflow: ${description}`,
},
],
temperature: 0.3,
});
return res.choices[0].message.content || "";
}
skills/action-gen/tsconfig.json
-13
View File
@@ -1,13 +0,0 @@
{
"compilerOptions": {
"target": "ES2020",
"module": "commonjs",
"outDir": "dist",
"rootDir": "src",
"esModuleInterop": true,
"strict": true,
"resolveJsonModule": true,
"declaration": true
},
"include": ["src"]
}
skills/ai-ci/.clawhub/origin.json
-7
View File
@@ -1,7 +0,0 @@
{
"version": 1,
"registry": "https://clawhub.ai",
"slug": "ai-ci",
"installedVersion": "1.0.1",
"installedAt": 1770282132853
}
skills/ai-ci/SKILL.md
-89
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@@ -1,89 +0,0 @@
---
name: ci-gen
description: Generate GitHub Actions workflows from your project. Use when setting up CI/CD from scratch.
---
# CI Generator
Setting up CI/CD from scratch means searching through docs, copying examples, and tweaking YAML for an hour. This tool looks at your project and generates the right workflow automatically.
**One command. Zero config. Just works.**
## Quick Start
```bash
npx ai-ci
```
## What It Does
- Scans your project to detect language and framework
- Generates complete GitHub Actions workflow
- Configures linting, testing, building, and deployment
- Supports multiple deploy targets
## Usage Examples
```bash
# Generate workflow for current project
npx ai-ci
# Specify deploy target
npx ai-ci --deploy vercel
# Preview without writing
npx ai-ci --preview
# Different targets
npx ai-ci --deploy netlify
npx ai-ci --deploy aws
npx ai-ci --deploy docker
npx ai-ci --deploy fly
```
## Best Practices
- **Start simple** - add complexity as needed
- **Cache dependencies** - speeds up your builds significantly
- **Fail fast** - run quick checks (lint) before slow ones (e2e)
- **Review the output** - understand what it's doing before committing
## When to Use This
- Starting a new project and need CI immediately
- Migrating from another CI system to GitHub Actions
- Want a solid starting point to customize
- Not sure what a modern CI workflow should include
## Part of the LXGIC Dev Toolkit
This is one of 110+ free developer tools built by LXGIC Studios. No paywalls, no sign-ups, no API keys on free tiers. Just tools that work.
**Find more:**
- GitHub: https://github.com/LXGIC-Studios
- Twitter: https://x.com/lxgicstudios
- Substack: https://lxgicstudios.substack.com
- Website: https://lxgicstudios.com
## Requirements
No install needed. Just run with npx. Node.js 18+ recommended. Needs OPENAI_API_KEY environment variable.
```bash
npx ai-ci --help
```
## How It Works
Analyzes your package.json, config files, and project structure to determine the language, framework, test setup, and build steps. Then generates a GitHub Actions workflow YAML with appropriate jobs, caching, and deployment configuration.
## License
MIT. Free forever. Use it however you want.
---
**Built by LXGIC Studios**
- GitHub: [github.com/lxgicstudios/ai-ci](https://github.com/lxgicstudios/ai-ci)
- Twitter: [@lxgicstudios](https://x.com/lxgicstudios)
skills/ai-ci/_meta.json
-6
View File
@@ -1,6 +0,0 @@
{
"ownerId": "kn7as1q30eykdpxycyg4tp01n9802dwe",
"slug": "ai-ci",
"version": "1.0.1",
"publishedAt": 1769665253626
}
skills/ci-config-gen/.clawhub/origin.json
-7
View File
@@ -1,7 +0,0 @@
{
"version": 1,
"registry": "https://clawhub.ai",
"slug": "ci-config-gen",
"installedVersion": "1.0.1",
"installedAt": 1770282135433
}
skills/ci-config-gen/README.md
-55
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@@ -1,55 +0,0 @@
# ai-ci
[![npm version](https://img.shields.io/npm/v/ai-ci.svg)](https://www.npmjs.com/package/ai-ci)
[![npm downloads](https://img.shields.io/npm/dm/ai-ci.svg)](https://www.npmjs.com/package/ai-ci)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
AI-powered CI/CD workflow generator. Creates GitHub Actions pipelines from project analysis.
Setting up CI/CD from scratch is a pain. This tool looks at your project and generates the right GitHub Actions workflow for it.
## Install
```bash
npm install -g ai-ci
```
## Usage
```bash
# Generate a GitHub Actions workflow
npx ai-ci
# Specify provider and deploy target
npx ai-ci --provider github --deploy vercel
# Preview without writing
npx ai-ci --preview
# Different deploy targets
npx ai-ci --deploy netlify
npx ai-ci --deploy aws
npx ai-ci --deploy docker
```
## What it does
Scans your project to figure out the language, framework, test setup, and build steps. Then generates a proper CI/CD workflow with linting, testing, building, and deployment configured.
## Supported
- **Providers**: GitHub Actions (more coming)
- **Deploy targets**: Vercel, Netlify, AWS, Docker, Fly.io, Railway
- **Languages**: Node.js, Python, Go, Rust, Ruby, Java
## Requirements
Set your `OPENAI_API_KEY` environment variable.
```bash
export OPENAI_API_KEY=sk-...
```
## License
MIT
skills/ci-config-gen/SKILL.md
-82
View File
@@ -1,82 +0,0 @@
---
name: ci-gen
description: Generate GitHub Actions workflows from your project. Use when setting up CI/CD from scratch.
---
# CI Generator
Setting up CI/CD from scratch means searching through docs, copying examples, and tweaking YAML for an hour. This tool looks at your project and generates the right workflow automatically.
**One command. Zero config. Just works.**
## Quick Start
```bash
npx ai-ci
```
## What It Does
- Scans your project to detect language and framework
- Generates complete GitHub Actions workflow
- Configures linting, testing, building, and deployment
- Supports multiple deploy targets
## Usage Examples
```bash
# Generate workflow for current project
npx ai-ci
# Specify deploy target
npx ai-ci --deploy vercel
# Preview without writing
npx ai-ci --preview
# Different targets
npx ai-ci --deploy netlify
npx ai-ci --deploy aws
npx ai-ci --deploy docker
npx ai-ci --deploy fly
```
## Best Practices
- **Start simple** - add complexity as needed
- **Cache dependencies** - speeds up your builds significantly
- **Fail fast** - run quick checks (lint) before slow ones (e2e)
- **Review the output** - understand what it's doing before committing
## When to Use This
- Starting a new project and need CI immediately
- Migrating from another CI system to GitHub Actions
- Want a solid starting point to customize
- Not sure what a modern CI workflow should include
## Part of the LXGIC Dev Toolkit
This is one of 110+ free developer tools built by LXGIC Studios. No paywalls, no sign-ups, no API keys on free tiers. Just tools that work.
**Find more:**
- GitHub: https://github.com/LXGIC-Studios
- Twitter: https://x.com/lxgicstudios
- Substack: https://lxgicstudios.substack.com
- Website: https://lxgicstudios.com
## Requirements
No install needed. Just run with npx. Node.js 18+ recommended. Needs OPENAI_API_KEY environment variable.
```bash
npx ai-ci --help
```
## How It Works
Analyzes your package.json, config files, and project structure to determine the language, framework, test setup, and build steps. Then generates a GitHub Actions workflow YAML with appropriate jobs, caching, and deployment configuration.
## License
MIT. Free forever. Use it however you want.
skills/ci-config-gen/_meta.json
-6
View File
@@ -1,6 +0,0 @@
{
"ownerId": "kn7as1q30eykdpxycyg4tp01n9802dwe",
"slug": "ci-config-gen",
"version": "1.0.1",
"publishedAt": 1769632242691
}
skills/ci-config-gen/package-lock.json
Generated
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skills/ci-config-gen/package.json
-45
View File
@@ -1,45 +0,0 @@
{
"name": "ai-ci",
"version": "1.0.0",
"description": "Generates GitHub Actions CI/CD workflows from project analysis",
"main": "dist/index.js",
"bin": {
"ai-ci": "dist/cli.js"
},
"scripts": {
"build": "tsc"
},
"keywords": [
"ai",
"openai",
"gpt",
"ci",
"cd",
"github-actions",
"continuous-integration",
"devops",
"workflow",
"automation",
"developer-tools",
"cli",
"typescript",
"nodejs",
"yaml"
],
"license": "MIT",
"dependencies": {
"commander": "^12.1.0",
"glob": "^10.3.10",
"openai": "^4.52.0",
"ora": "^5.4.1"
},
"devDependencies": {
"typescript": "^5.5.0",
"@types/node": "^20.14.0"
},
"author": "LXGIC Studios",
"repository": {
"type": "git",
"url": "https://github.com/lxgicstudios/ai-ci"
}
}
skills/ci-config-gen/src/cli.ts
-60
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@@ -1,60 +0,0 @@
#!/usr/bin/env node
import { Command } from "commander";
import ora from "ora";
import * as fs from "fs";
import * as path from "path";
import { scanProject, generateWorkflow } from "./index";
const program = new Command();
program
.name("ai-ci")
.description("Generates CI/CD workflows from project analysis")
.version("1.0.0")
.option("-p, --preview", "Preview without writing")
.option("--provider <provider>", "CI provider", "github")
.option("--deploy <target>", "Deploy target (vercel, netlify, aws, docker)")
.option("-d, --dir <path>", "Project directory", ".")
.option("-o, --output <path>", "Output path")
.action(async (opts) => {
const spinner = ora("Scanning project...").start();
try {
const dir = path.resolve(opts.dir);
const info = await scanProject(dir);
if (info.files.length === 0) {
spinner.warn("No project files found. Are you in the right directory?");
process.exit(1);
}
spinner.text = `Found ${info.files.length} config files. Generating workflow...`;
const workflow = await generateWorkflow(info, opts.provider, opts.deploy);
const defaultOutput = opts.provider === "github"
? ".github/workflows/ci.yml"
: "ci-workflow.yml";
const outPath = path.resolve(opts.output || defaultOutput);
if (opts.preview) {
spinner.stop();
console.log(`\n--- Generated ${opts.provider} workflow ---\n`);
console.log(workflow);
console.log("\n-----------------------------------------\n");
} else {
const outDir = path.dirname(outPath);
if (!fs.existsSync(outDir)) {
fs.mkdirSync(outDir, { recursive: true });
}
fs.writeFileSync(outPath, workflow + "\n");
spinner.succeed(`Workflow written to ${outPath}`);
}
} catch (err: any) {
spinner.fail(err.message);
process.exit(1);
}
});
program.parse();
skills/ci-config-gen/src/index.ts
-65
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@@ -1,65 +0,0 @@
import OpenAI from "openai";
import { glob } from "glob";
import * as fs from "fs";
import * as path from "path";
const CONFIG_FILES = [
"package.json", "tsconfig.json", "next.config.js", "next.config.mjs",
"vite.config.ts", "nuxt.config.ts", "Cargo.toml", "go.mod",
"pyproject.toml", "requirements.txt", "Gemfile", "build.gradle", "pom.xml",
"jest.config.js", "jest.config.ts", "vitest.config.ts", ".eslintrc.js",
".eslintrc.json", "prettier.config.js", "Makefile",
"docker-compose.yml", "Dockerfile", "vercel.json", "netlify.toml",
"fly.toml", "railway.json",
];
export async function scanProject(dir: string): Promise<{ files: string[]; contents: Record<string, string> }> {
const found: string[] = [];
const contents: Record<string, string> = {};
for (const f of CONFIG_FILES) {
const full = path.join(dir, f);
if (fs.existsSync(full)) {
found.push(f);
const stat = fs.statSync(full);
if (stat.size < 5000) {
contents[f] = fs.readFileSync(full, "utf-8");
}
}
}
return { files: found, contents };
}
export async function generateWorkflow(
projectInfo: { files: string[]; contents: Record<string, string> },
provider: string,
deployTarget?: string
): Promise<string> {
if (!process.env.OPENAI_API_KEY) {
throw new Error("Missing OPENAI_API_KEY environment variable. Set it with: export OPENAI_API_KEY=sk-...");
}
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const deployInstruction = deployTarget
? `Include a deployment step for ${deployTarget}. Use the standard ${deployTarget} GitHub Action or deployment method.`
: "Don't include deployment steps, just CI (lint, test, build).";
const response = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
{
role: "system",
content: `You are a CI/CD expert. Generate a ${provider === "github" ? "GitHub Actions" : provider} workflow YAML file. Output ONLY the YAML contents. No markdown code fences. Include proper caching, matrix testing if appropriate, and best practices. ${deployInstruction}`
},
{
role: "user",
content: `Project files: ${projectInfo.files.join(", ")}\n\nKey file contents:\n${Object.entries(projectInfo.contents).map(([k, v]) => `--- ${k} ---\n${v}`).join("\n\n")}`
}
],
temperature: 0.3,
});
return response.choices[0]?.message?.content?.trim() || "";
}
skills/ci-config-gen/tsconfig.json
-13
View File
@@ -1,13 +0,0 @@
{
"compilerOptions": {
"target": "ES2020",
"module": "commonjs",
"outDir": "dist",
"rootDir": "src",
"esModuleInterop": true,
"strict": true,
"resolveJsonModule": true,
"declaration": true
},
"include": ["src"]
}
skills/ci-gen/.clawhub/origin.json
-7
View File
@@ -1,7 +0,0 @@
{
"version": 1,
"registry": "https://clawhub.ai",
"slug": "ci-gen",
"installedVersion": "1.0.0",
"installedAt": 1770282141006
}
skills/ci-gen/README.md
-49
View File
@@ -1,49 +0,0 @@
# ai-ci
Setting up CI/CD from scratch is a pain. This tool looks at your project and generates the right GitHub Actions workflow for it.
## Install
```bash
npm install -g ai-ci
```
## Usage
```bash
# Generate a GitHub Actions workflow
npx ai-ci
# Specify provider and deploy target
npx ai-ci --provider github --deploy vercel
# Preview without writing
npx ai-ci --preview
# Different deploy targets
npx ai-ci --deploy netlify
npx ai-ci --deploy aws
npx ai-ci --deploy docker
```
## What it does
Scans your project to figure out the language, framework, test setup, and build steps. Then generates a proper CI/CD workflow with linting, testing, building, and deployment configured.
## Supported
- **Providers**: GitHub Actions (more coming)
- **Deploy targets**: Vercel, Netlify, AWS, Docker, Fly.io, Railway
- **Languages**: Node.js, Python, Go, Rust, Ruby, Java
## Requirements
Set your `OPENAI_API_KEY` environment variable.
```bash
export OPENAI_API_KEY=sk-...
```
## License
MIT
skills/ci-gen/SKILL.md
-77
View File
@@ -1,77 +0,0 @@
---
name: ci-gen
description: Generate GitHub Actions CI/CD workflows from project analysis. Use when setting up automated pipelines.
---
# CI/CD Workflow Generator
Point this at any project and get a working GitHub Actions workflow. It scans your codebase, detects the stack, and generates a pipeline that actually makes sense for your setup.
**One command. Zero config. Just works.**
## Quick Start
```bash
npx ai-ci ./my-project
```
## What It Does
- Scans your project to detect framework, language, and dependencies
- Generates GitHub Actions workflow with proper build and test steps
- Includes caching for faster CI runs
- Sets up deployment steps based on common platforms
- Creates separate workflows for PRs vs main branch pushes
## Usage Examples
```bash
# Analyze current directory
npx ai-ci .
# Generate for a specific project
npx ai-ci ./apps/frontend
# Include deployment to Vercel
npx ai-ci . --deploy vercel
```
## Best Practices
- **Review the output** - AI generates good defaults but tweak for your exact needs
- **Start with tests only** - Get CI green first, add deployment later
- **Use secrets properly** - The workflow references secrets, make sure to add them in GitHub
- **Keep it simple** - Don't overcomplicate your first pipeline
## When to Use This
- Starting a new project and need CI fast
- Migrating from another CI system to GitHub Actions
- Learning GitHub Actions syntax through real examples
- Standardizing CI across multiple repos
## Part of the LXGIC Dev Toolkit
This is one of 110+ free developer tools built by LXGIC Studios. No paywalls, no sign-ups, no API keys on free tiers. Just tools that work.
**Find more:**
- GitHub: https://github.com/LXGIC-Studios
- Twitter: https://x.com/lxgicstudios
- Substack: https://lxgicstudios.substack.com
- Website: https://lxgic.dev
## Requirements
No install needed. Just run with npx. Node.js 18+ recommended.
```bash
npx ai-ci --help
```
## How It Works
The tool uses glob patterns to scan your project structure. It identifies package.json, requirements.txt, Dockerfile, and other config files to understand your stack. Then it generates a workflow YAML tailored to what it found.
## License
MIT. Free forever. Use it however you want.
skills/ci-gen/_meta.json
-6
View File
@@ -1,6 +0,0 @@
{
"ownerId": "kn7as1q30eykdpxycyg4tp01n9802dwe",
"slug": "ci-gen",
"version": "1.0.0",
"publishedAt": 1769626080933
}
skills/ci-gen/package-lock.json
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skills/ci-gen/package.json
-35
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@@ -1,35 +0,0 @@
{
"name": "ai-ci",
"version": "1.0.0",
"description": "Generates GitHub Actions CI/CD workflows from project analysis",
"main": "dist/index.js",
"bin": {
"ai-ci": "dist/cli.js"
},
"scripts": {
"build": "tsc"
},
"keywords": [
"ci",
"cd",
"github-actions",
"ai",
"cli"
],
"license": "MIT",
"dependencies": {
"commander": "^12.1.0",
"glob": "^10.3.10",
"openai": "^4.52.0",
"ora": "^5.4.1"
},
"devDependencies": {
"typescript": "^5.5.0",
"@types/node": "^20.14.0"
},
"author": "LXGIC Studios",
"repository": {
"type": "git",
"url": "https://github.com/lxgicstudios/ai-ci"
}
}
skills/ci-gen/src/cli.ts
-60
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@@ -1,60 +0,0 @@
#!/usr/bin/env node
import { Command } from "commander";
import ora from "ora";
import * as fs from "fs";
import * as path from "path";
import { scanProject, generateWorkflow } from "./index";
const program = new Command();
program
.name("ai-ci")
.description("Generates CI/CD workflows from project analysis")
.version("1.0.0")
.option("-p, --preview", "Preview without writing")
.option("--provider <provider>", "CI provider", "github")
.option("--deploy <target>", "Deploy target (vercel, netlify, aws, docker)")
.option("-d, --dir <path>", "Project directory", ".")
.option("-o, --output <path>", "Output path")
.action(async (opts) => {
const spinner = ora("Scanning project...").start();
try {
const dir = path.resolve(opts.dir);
const info = await scanProject(dir);
if (info.files.length === 0) {
spinner.warn("No project files found. Are you in the right directory?");
process.exit(1);
}
spinner.text = `Found ${info.files.length} config files. Generating workflow...`;
const workflow = await generateWorkflow(info, opts.provider, opts.deploy);
const defaultOutput = opts.provider === "github"
? ".github/workflows/ci.yml"
: "ci-workflow.yml";
const outPath = path.resolve(opts.output || defaultOutput);
if (opts.preview) {
spinner.stop();
console.log(`\n--- Generated ${opts.provider} workflow ---\n`);
console.log(workflow);
console.log("\n-----------------------------------------\n");
} else {
const outDir = path.dirname(outPath);
if (!fs.existsSync(outDir)) {
fs.mkdirSync(outDir, { recursive: true });
}
fs.writeFileSync(outPath, workflow + "\n");
spinner.succeed(`Workflow written to ${outPath}`);
}
} catch (err: any) {
spinner.fail(err.message);
process.exit(1);
}
});
program.parse();
skills/ci-gen/src/index.ts
-65
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@@ -1,65 +0,0 @@
import OpenAI from "openai";
import { glob } from "glob";
import * as fs from "fs";
import * as path from "path";
const CONFIG_FILES = [
"package.json", "tsconfig.json", "next.config.js", "next.config.mjs",
"vite.config.ts", "nuxt.config.ts", "Cargo.toml", "go.mod",
"pyproject.toml", "requirements.txt", "Gemfile", "build.gradle", "pom.xml",
"jest.config.js", "jest.config.ts", "vitest.config.ts", ".eslintrc.js",
".eslintrc.json", "prettier.config.js", "Makefile",
"docker-compose.yml", "Dockerfile", "vercel.json", "netlify.toml",
"fly.toml", "railway.json",
];
export async function scanProject(dir: string): Promise<{ files: string[]; contents: Record<string, string> }> {
const found: string[] = [];
const contents: Record<string, string> = {};
for (const f of CONFIG_FILES) {
const full = path.join(dir, f);
if (fs.existsSync(full)) {
found.push(f);
const stat = fs.statSync(full);
if (stat.size < 5000) {
contents[f] = fs.readFileSync(full, "utf-8");
}
}
}
return { files: found, contents };
}
export async function generateWorkflow(
projectInfo: { files: string[]; contents: Record<string, string> },
provider: string,
deployTarget?: string
): Promise<string> {
if (!process.env.OPENAI_API_KEY) {
throw new Error("Missing OPENAI_API_KEY environment variable. Set it with: export OPENAI_API_KEY=sk-...");
}
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const deployInstruction = deployTarget
? `Include a deployment step for ${deployTarget}. Use the standard ${deployTarget} GitHub Action or deployment method.`
: "Don't include deployment steps, just CI (lint, test, build).";
const response = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
{
role: "system",
content: `You are a CI/CD expert. Generate a ${provider === "github" ? "GitHub Actions" : provider} workflow YAML file. Output ONLY the YAML contents. No markdown code fences. Include proper caching, matrix testing if appropriate, and best practices. ${deployInstruction}`
},
{
role: "user",
content: `Project files: ${projectInfo.files.join(", ")}\n\nKey file contents:\n${Object.entries(projectInfo.contents).map(([k, v]) => `--- ${k} ---\n${v}`).join("\n\n")}`
}
],
temperature: 0.3,
});
return response.choices[0]?.message?.content?.trim() || "";
}
skills/ci-gen/tsconfig.json
-13
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@@ -1,13 +0,0 @@
{
"compilerOptions": {
"target": "ES2020",
"module": "commonjs",
"outDir": "dist",
"rootDir": "src",
"esModuleInterop": true,
"strict": true,
"resolveJsonModule": true,
"declaration": true
},
"include": ["src"]
}
skills/frontend-design/.clawhub/origin.json
-7
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@@ -1,7 +0,0 @@
{
"version": 1,
"registry": "https://clawhub.ai",
"slug": "frontend-design",
"installedVersion": "1.0.0",
"installedAt": 1770309241776
}
skills/frontend-design/LICENSE.txt
-190
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@@ -1,190 +0,0 @@
Apache License
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http://www.apache.org/licenses/
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whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
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END OF TERMS AND CONDITIONS
Copyright 2024 Anthropic PBC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
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Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
skills/frontend-design/SKILL.md
-42
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@@ -1,42 +0,0 @@
---
name: frontend-design
description: Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
license: Complete terms in LICENSE.txt
---
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
## Design Thinking
Before coding, understand the context and commit to a BOLD aesthetic direction:
- **Purpose**: What problem does this interface solve? Who uses it?
- **Tone**: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
- **Constraints**: Technical requirements (framework, performance, accessibility).
- **Differentiation**: What makes this UNFORGETTABLE? What's the one thing someone will remember?
**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity.
Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is:
- Production-grade and functional
- Visually striking and memorable
- Cohesive with a clear aesthetic point-of-view
- Meticulously refined in every detail
## Frontend Aesthetics Guidelines
Focus on:
- **Typography**: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics; unexpected, characterful font choices. Pair a distinctive display font with a refined body font.
- **Color & Theme**: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.
- **Motion**: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions. Use scroll-triggering and hover states that surprise.
- **Spatial Composition**: Unexpected layouts. Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. Generous negative space OR controlled density.
- **Backgrounds & Visual Details**: Create atmosphere and depth rather than defaulting to solid colors. Add contextual effects and textures that match the overall aesthetic. Apply creative forms like gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, decorative borders, custom cursors, and grain overlays.
NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cliched color schemes (particularly purple gradients on white backgrounds), predictable layouts and component patterns, and cookie-cutter design that lacks context-specific character.
Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices (Space Grotesk, for example) across generations.
**IMPORTANT**: Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details. Elegance comes from executing the vision well.
Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision.
skills/frontend-design/_meta.json
-6
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@@ -1,6 +0,0 @@
{
"ownerId": "kn70pywhg0fyz996kpa8xj89s57yhv26",
"slug": "frontend-design",
"version": "1.0.0",
"publishedAt": 1767651960903
}