Site Architecture
AvdLee/RocketSimApp
When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking.
AI desktop agent — control any app on Windows/macOS from your OpenClaw agent.
$ npx skills add LeoYeAI/openclaw-master-skills --skill clawdcursor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills clawdcursor --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/clawd-cursor .claude/skills/clawdcursor && 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 "clawdcursor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursor into .claude/skills/clawdcursor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clawdcursor", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursorType 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 LeoYeAI/openclaw-master-skills --skill clawdcursor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills clawdcursor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/clawd-cursor .agents/skills/clawdcursor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "clawdcursor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursor into .agents/skills/clawdcursor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clawdcursor", 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 LeoYeAI/openclaw-master-skills --skill clawdcursor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills clawdcursor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/clawd-cursor .cursor/skills/clawdcursor && 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 "clawdcursor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursor into .cursor/skills/clawdcursor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clawdcursor", 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/LeoYeAI/openclaw-master-skills.git --path skills/clawd-cursor--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 LeoYeAI/openclaw-master-skills --skill clawdcursor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills clawdcursor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/clawd-cursor .gemini/skills/clawdcursor && 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 "clawdcursor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursor into .gemini/skills/clawdcursor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clawdcursor", 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 LeoYeAI/openclaw-master-skills clawdcursorInstalls 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 LeoYeAI/openclaw-master-skills --skill clawdcursor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/clawd-cursor .github/skills/clawdcursor && 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 "clawdcursor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursor into .github/skills/clawdcursor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clawdcursor", 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 LeoYeAI/openclaw-master-skills --skill clawdcursor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills clawdcursor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/clawd-cursor .opencode/skills/clawdcursor && 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 "clawdcursor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/clawd-cursor into .opencode/skills/clawdcursor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clawdcursor", 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.
clawdcursorAI desktop agent — control any app on Windows/macOS from your OpenClaw agent.
Clawdcursor is an agent skill from LeoYeAI/openclaw-master-skills. AI desktop agent — control any app on Windows/macOS from your OpenClaw agent. Send natural language tasks to the Clawd Cursor API and it handles everything: opening apps, clicking buttons, typing text, navigating browsers, filling forms. If you can click it, your agent can too.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).
It works with macOS. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. 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.
Shell commands in SKILL.md call:
curlnpmnpxgitollamaFrom 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:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Clawdcursor loads about 4.3k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,726 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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,726 words, ~4,333 tokens.
.claude/skills/clawdcursor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.If a human can do it on a screen, you can too. No API? No integration? No problem. Every app already has a UI — Clawd Cursor gives you eyes and hands to use all of them.
No task is impossible. If it's on the screen, it's within reach.
IMPORTANT — READ THIS BEFORE ANYTHING ELSE
You have a desktop AI agent over GUI running on the user's machine. This means:
- You CAN open apps, click buttons, type text, fill forms
- You CAN see what's on screen (via Clawd Cursor's screenshot pipeline)
- You CAN interact with applications — browser, desktop apps, settings
- You MUST respect safety tiers — 🟢 Auto actions run freely, 🔴 Confirm actions require user approval
- You MUST ask before accessing sensitive apps (email, banking, private messages, password managers)
- You SHOULD prefer direct tools (file read, web_fetch, CLI) over desktop automation when available
Think of Clawd Cursor as your hands and eyes on the user's computer — used with their permission.
You have a desktop UI agent available. Use it when the user asks you to interact with their desktop, or when no other tool can accomplish the task.
Clawd Cursor can perform any action that is visible and interactable in the GUI (subject to safety policy).
Always ask the user before accessing:
Clawd Cursor should be treated as OpenClaw's GUI execution layer, not a competing planner.
POST /task) only when desktop/UI-level interaction is requiredThis keeps behavior predictable, lowers latency/cost, and avoids duplicated logic between the main OpenClaw agent and this skill.
For broad "get it done" requests, split into three phases:
Think: "OpenClaw decides, Clawd Cursor acts on GUI when needed."
For quick page reads without a full task, connect to Chrome via Playwright CDP:
const pw = require('playwright');
const browser = await pw.chromium.connectOverCDP('http://127.0.0.1:9222');
const pages = browser.contexts()[0].pages();
const text = await pages[0].innerText('body');Use this when you just need page content — faster than sending a task.
| Scenario | Use | Why |
|---|---|---|
| Read page content/text | CDP Direct | Instant, free |
| Fill a web form | API task (POST /task) | Clawd handles multi-step planning |
| Check if a page loaded | CDP Direct | Just read the title/URL |
| Click through a complex UI flow | API task (POST /task) | Clawd handles planning |
| Get a list of elements on page | CDP Direct | Fast DOM query |
| Interact with a desktop app | API task (POST /task) | CDP is browser-only |
Base URL: http://127.0.0.1:3847
Note: On Windows PowerShell, use
curl.exe(with .exe) orInvoke-RestMethod. Barecurlis aliased toInvoke-WebRequestwhich behaves differently.
Before your first task, verify Clawd Cursor is running:
curl.exe -s http://127.0.0.1:3847/healthExpected: {"status":"ok","version":"0.6.0"}
If connection refused — start it yourself (don't ask the user):
# Find the skill directory and start the server
Start-Process -FilePath "node" -ArgumentList "dist/index.js","start" -WorkingDirectory "<clawd-cursor-directory>" -WindowStyle Hidden
Start-Sleep 3
# Verify it's running
curl.exe -s http://127.0.0.1:3847/healthThe skill directory is wherever SKILL.md lives (the parent of this file). Use that path as the working directory.
POST /task accepts the task and returns immediately. The task runs in the background. You must poll /status to know when it's done.
curl.exe -s -X POST http://127.0.0.1:3847/task -H "Content-Type: application/json" -d "{\"task\": \"YOUR_TASK_HERE\"}"PowerShell:
Invoke-RestMethod -Uri http://127.0.0.1:3847/task -Method POST -ContentType "application/json" -Body '{"task": "YOUR_TASK_HERE"}'1. POST /task → get accepted
2. Wait 2 seconds
3. GET /status
4. If status is "idle" → done
5. If status is "waiting_confirm" → ASK THE USER, then POST /confirm based on their answer
6. If still running → wait 2 more seconds, go to step 3
7. If 60+ seconds → POST /abort and retry with clearer instructionscurl.exe -s http://127.0.0.1:3847/statusSome actions (sending messages, deleting) require approval. 🔴 NEVER self-approve these. Always ask the user for confirmation before POST /confirm. These exist to protect the user — do not bypass them.
curl.exe -s -X POST http://127.0.0.1:3847/confirm -H "Content-Type: application/json" -d "{\"approved\": true}"curl.exe -s -X POST http://127.0.0.1:3847/abortcurl.exe -s http://127.0.0.1:3847/logsReturns last 200 log entries. Check for error or warn entries when tasks fail.
| State | Response | What to do |
|---|---|---|
| Accepted | {"accepted": true, "task": "..."} | Start polling |
| Running | {"status": "acting", "currentTask": "...", "stepsCompleted": 2} | Keep polling |
| Waiting confirm | {"status": "waiting_confirm", "currentStep": "..."} | POST /confirm |
| Done | {"status": "idle"} | Task complete |
| Busy | {"error": "Agent is busy", "state": {...}} | Wait or POST /abort first |
Chrome must be running with --remote-debugging-port=9222.
curl.exe -s http://127.0.0.1:9222/json/versionIf this returns JSON, Chrome is ready.
const { chromium } = require('playwright');
const browser = await chromium.connectOverCDP('http://127.0.0.1:9222');
const context = browser.contexts()[0];
const page = context.pages()[0];
// Read page content
const title = await page.title();
const url = page.url();
const text = await page.textContent('body');
// Click by role
await page.getByRole('button', { name: 'Submit' }).click();
// Fill a field
await page.getByLabel('Email').fill('user@example.com');
// Read specific elements
const buttons = await page.$$eval('button', els => els.map(e => e.textContent));| Goal | Task to send |
|---|---|
| Simple navigation | Open Chrome and go to github.com |
| Read screen content | What text is currently displayed in Notepad? |
| Cross-app workflow | Copy the email address from the Chrome tab and paste it into the To field in Outlook |
| Form filling | In the open Chrome tab, fill the contact form: name "John Doe", email "john@example.com" |
| App interaction | Open Spotify and play the Discover Weekly playlist |
| Settings change | Open Windows Settings and turn on Dark Mode |
| Data extraction | Read the stock price shown in the Bloomberg tab in Chrome |
| Complex browser | Open YouTube, search for "Adele Hello", and play the first video result |
| Verification | Check if the deployment succeeded — look at the Vercel dashboard in Chrome |
| Send email | Open Gmail, compose email to john@example.com, subject: Meeting Tomorrow, body: Confirming 2pm. Best regards. |
| Take screenshot | Take a screenshot |
| Problem | Solution |
|---|---|
| Connection refused on :3847 | Start Clawd Cursor: cd clawd-cursor && npm start |
| Connection refused on :9222 | Start Chrome with CDP: Start-Process chrome -ArgumentList "--remote-debugging-port=9222" |
| Agent returns "busy" | Poll /status — wait for idle, or POST /abort |
| Task fails with no details | Check /logs for error entries |
| Task completes but wrong result | Rephrase with more specifics: exact app name, button text, field labels |
| Same task fails repeatedly | Break into smaller tasks (one action per task) |
| Safety confirmation pending | POST /confirm with {"approved": true} or {"approved": false} |
| Task hangs > 60 seconds | POST /abort, then retry with simpler phrasing |
| Layer | What | Speed | Cost |
|---|---|---|---|
| 0: Browser Layer | URL detection → direct navigation | Instant | Free |
| 1: Action Router + Shortcuts | Regex + UI Automation + keyboard shortcuts | Instant | Free |
| 1.5: Smart Interaction | 1 LLM plan → CDP/UIDriver executes | ~2-5s | 1 LLM call |
| 2: Accessibility Reasoner | UI tree → text LLM decides | ~1s | Cheap |
| 3: Computer Use | Screenshot → vision LLM | ~5-8s | Expensive |
Layer 1 includes keyboard shortcuts — common actions execute as direct keystrokes (0 LLM calls).
80%+ of tasks handled by Layer 0-1 (free, instant). Vision model is last resort only.
| Tier | Actions | Behavior |
|---|---|---|
| 🟢 Auto | Navigation, reading, opening apps | Runs immediately |
| 🟡 Preview | Typing, form filling | Logs before executing |
| 🔴 Confirm | Sending messages, deleting | Pauses — ask the user before POST /confirm. Never self-approve. |
127.0.0.1 only — not network accessible. Verify: netstat -an | findstr 3847 should show 127.0.0.1:3847--debug)Setup is handled by the user. If Clawd Cursor isn't running, start it yourself using the exec tool:
Start-Process -FilePath "node" -ArgumentList "dist/index.js","start" -WorkingDirectory "<skill-directory>" -WindowStyle HiddenOnly ask the user if you cannot start it (e.g., node not installed, build missing).
git clone https://github.com/AmrDab/clawd-cursor.git
cd clawd-cursor
npm install && npm run build
npx clawd-cursor doctor # auto-detects and configures everything
npm start # starts on port 3847macOS: Grant Accessibility permission to terminal: System Settings → Privacy & Security → Accessibility
| Provider | Setup | Cost |
|---|---|---|
| Ollama (free) | ollama pull <model> | $0 (fully offline) |
| Any cloud provider | Set AI_API_KEY=your-key | Varies by provider |
| OpenClaw users | Automatic — no setup needed | Uses configured provider |
Proven optimizations applied to reduce task execution latency and LLM API costs. Reference files in perf/references/patches/.
| # | Name | Impact |
|---|---|---|
| 1 | Screenshot hash cache | 90% fewer LLM calls on static screens |
| 2 | Parallel screenshot+a11y | 30-40% per-step latency cut |
| 3 | A11y context cache (2s TTL) | Eliminates redundant PS spawns |
| 4 | Screenshot compression | 52% smaller payload (58KB vs 120KB) |
| 5 | Async debug writes | 94% less event loop blocking |
| 6 | Streaming LLM responses | 1-3s faster per LLM call |
| 7 | Trimmed system prompts | ~60% fewer prompt tokens |
| 8 | A11y tree filtering | Interactive elements only, 3000 char cap |
| 9 | Combined PS script | 1 spawn instead of 3 |
| 10 | Taskbar cache (30s TTL) | Skip expensive taskbar query |
| 11 | Delay reduction | 50-150ms vs 200-1500ms |
| Metric | v0.3 (VNC) | v0.4 (Native) | v0.4.1+ (Optimized) |
|---|---|---|---|
| Screenshot capture | ~850ms | ~50ms | ~57ms |
| Screenshot size | ~200KB | ~120KB | ~58KB |
| A11y context (uncached) | N/A | ~600ms | ~462ms |
| A11y context (cached) | N/A | 0ms | 0ms (2s TTL) |
| Delays (per step) | N/A | 200-1500ms | 50-600ms |
| System prompt tokens | N/A | ~800 | ~300 |
perf/apply-optimizations.ps1 — apply all patchesperf/perf-test.ts — benchmark harness (npx ts-node perf/perf-test.ts)© LeoYeAI, 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 in skills/clawd-cursor of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Clawdcursor 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 |
|---|---|---|---|---|---|---|
| Clawdcursor this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Site ArchitectureAvdLee/RocketSimApp | 803 | 11 repos | ~3.3k | Automated safety check: Pass | Custom licence | |
| Engine Whats Newflutter/flutter | 179k | — | ~978 | Automated safety check: Pass | BSD-3-Clause | |
| macOS Spm App PackagingDimillian/Skills | 4k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Orca iOS Simulator Controlstablyai/orca | 87k | 1 repos | ~584 | Automated safety check: Pass | Apache-2.0 |
AvdLee/RocketSimApp
When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking.
flutter/flutter
Generates the "what's new" release summary and diff file for changes in the Flutter engine (//engine/src/flutter) between two releases (e.g., 3.47 vs 3.44).
Dimillian/Skills
Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project.
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
stablyai/orca
iOS Simulator control from inside Orca, with the live device view in Orca's emulator pane. Use when driving a booted Apple Simulator on macOS: taps, gestures…
tw93/Mole
A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
AI desktop agent — control any app on Windows/macOS from your OpenClaw agent. Clawdcursor is an agent skill from LeoYeAI/openclaw-master-skills. AI desktop agent — control any app on Windows/macOS from your OpenClaw agent.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill clawdcursor -a claude-code`. Or copy the skill folder (skills/clawd-cursor in LeoYeAI/openclaw-master-skills) into .claude/skills/clawdcursor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill clawdcursor -a codex`. Or copy the skill folder (skills/clawd-cursor in LeoYeAI/openclaw-master-skills) into .agents/skills/clawdcursor 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 LeoYeAI/openclaw-master-skills --skill clawdcursor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clawdcursor, .gemini/skills/clawdcursor, .github/skills/clawdcursor and .opencode/skills/clawdcursor in your project.
Going by SKILL.md and its folder, Clawdcursor needs the command-line tools its instructions call (curl, npm, npx, git and ollama) and credentials named AI_API_KEY. Our summary lists: Node.js; A credential in AI_API_KEY.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it 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. Review the folder before installing.
Clawdcursor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k 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 Clawdcursor: Site Architecture (AvdLee/RocketSimApp, 803 stars), Engine Whats New (flutter/flutter, 179k stars), macOS Spm App Packaging (Dimillian/Skills, 4k stars) and Openclaw Live Updater (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.