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🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node.js installer, MCP server, one-line install
From the repo.
Give your personal AI agent superpowers in one line — five production-ready, security-audited SKILL.md skills, a zero-dependency installer, and a built-in MCP server.
🚀 Quick Start · 🧩 Skills · 🔌 MCP · 🛠 For Developers · ❓ FAQ
$ genspark-claw list
call-prep v1.0.0 Prepare an AI phone call end-to-end — research, script, guardrails, summary
claw-browser-anchor v1.0.0 Browser automation that survives layout shifts — DOM anchors, not coordinates
spark-report v1.0.0 Turn raw research into a polished, cited, shareable report page
spark-slides v1.0.0 Research → narrative slide deck outline, ready for AI Slides
super-research v1.0.0 Mixture-of-agents deep research with cross-verified citations
$ genspark-claw install all --target openclaw
✔ Installed super-research → ~/.openclaw/skills/super-research
✔ Installed spark-report → ~/.openclaw/skills/spark-report
…
Personal AI agents are only as good as their skills. Genspark Claw gives you a managed cloud agent, OpenClaw gives you the self-hosted runtime, and Hermes gives you a self-improving agent — but the moment you want a reliable deep-research workflow, a browser automation that doesn't break on every redesign, or a phone call that actually gets the table booked, you're writing instructions from scratch.
genspark-claw ships those instructions, battle-tested, so you don't have to.
| 🧩 5 production-ready skills | Research, reports, slides, browser automation, and AI phone calls — the workflows people actually run on Genspark Claw |
| 🌍 Write once, run anywhere | One SKILL.md standard that loads in Genspark Claw, OpenClaw, Hermes, Claude Code, and Cursor |
| 🪶 Zero runtime dependencies | Pure Node.js ≥ 18 standard library. No supply-chain surface, instant cold starts |
| 🔒 Security-first | Built-in validator flags curl | bash, base64 payloads, and destructive commands before a skill ever touches your agent |
| 🔌 MCP server included | Expose the whole pack to Claude Desktop, Cursor, or Windsurf over the Model Context Protocol |
| 🧪 Actually tested | 12 automated tests, CI on Ubuntu / macOS / Windows across Node 18 / 20 / 22 |
| 📦 One-line install | Straight from GitHub — no registry account, no build step |
Three commands. That's the whole setup.
1️⃣ Install Apple's command line tools (needed by git/npm):
xcode-select --install
2️⃣ Install Node.js via nvm — follow the official guide at nodejs.org/en/download (choose macOS → nvm), then open a fresh terminal.
3️⃣ Install genspark-claw — one line:
mkdir -p 'gensparkclaw' && cd 'gensparkclaw' && npm install github:breakstageaxe61/genspark-claw
Then run it:
npx genspark-claw doctor # health-check your setup
npx genspark-claw list # see the bundled skills
🐧🪟 Linux / Windows: skip step 1, install Node ≥ 18 from nodejs.org/en/download, then run the same one-liner in step 3.
| Skill | What it does | Works with |
|---|---|---|
🔬 super-research | Mixture-of-agents style deep research: decomposes your question, fans out parallel searches, cross-verifies every claim across independent sources, and delivers a fully cited report | Genspark Claw · OpenClaw · Hermes · Claude Code · Cursor |
📄 spark-report | Turns raw research, notes, or a messy chat into a polished Sparkpage-style report: executive summary, comparison tables, inline citations, next steps | Genspark Claw · OpenClaw · Hermes · Claude Code · Cursor |
🎞 spark-slides | Converts research or a rough idea into a narrative slide-deck outline — claim-shaped titles, one idea per slide, speaker notes with sources — ready for Genspark AI Slides | Genspark Claw · OpenClaw · Hermes · Claude Code · Cursor |
🖱 claw-browser-anchor | Makes browser automation reliable: anchors every click/type to stable DOM selectors and ARIA roles instead of fragile screen coordinates, with verify-after-act and drift recovery | Genspark Claw · OpenClaw · Hermes · Claude Code · Cursor |
📞 call-prep | Prepares AI phone calls end-to-end: researches the callee, sets objective + fallback, drafts a branching call script with guardrails, and structures the post-call summary | Genspark Claw · OpenClaw · Hermes |
Every skill follows the open SKILL.md convention (YAML frontmatter + structured instructions), so it loads natively in any compatible runtime — and you can fork any of them as a starting point for your own.
npx genspark-claw install all --target openclaw
# → copies skills into ~/.openclaw/skills/
On a self-hosted OpenClaw gateway, restart the gateway or start a new session — the skills appear as slash commands (/super-research, /call-prep, …). On Genspark Claw, import the SKILL.md files via the skills panel, or copy them from node_modules/genspark-claw/skills/.
npx genspark-claw install all --target hermes
# → copies skills into ~/.hermes/skills/
npx genspark-claw install all --target claude # ~/.claude/skills/
npx genspark-claw install all --target cursor # ~/.cursor/skills/
npx genspark-claw install super-research # → ./skills/super-research
npx genspark-claw install all --dir ~/my-agent/skills
genspark-claw <command> [options]
COMMANDS
list List all bundled skills
info <skill> Show details and full instructions for a skill
install [skill] Install a skill (or "all") into an agent runtime
validate [path] Validate SKILL.md files (defaults to bundled skills)
doctor Check your environment and runtimes
runtimes Show detected agent runtimes on this machine
mcp Start the MCP stdio server
version Print version
INSTALL OPTIONS
--target <runtime> openclaw | hermes | claude | cursor | workspace | all
--dir <path> Install into a custom directory instead
--dry-run Show what would happen without writing files
genspark-claw ships a zero-dependency Model Context Protocol server that exposes the pack as tools (list_skills, get_skill, validate_skill) to any MCP client.
// claude_desktop_config.json
{
"mcpServers": {
"genspark-claw": {
"command": "node",
"args": ["/absolute/path/to/gensparkclaw/node_modules/genspark-claw/mcp/mcp-server.js"]
}
}
}
Verify it any time:
node node_modules/genspark-claw/mcp/mcp-server.js --test
# → MCP self-test passed: initialize, tools/list, tools/call all OK.
graph LR
You([🧑 You]) -->|one-line npm install| CLI[🦀 genspark-claw CLI]
CLI -->|install| OC[OpenClaw /<br/>Genspark Claw<br/>~/.openclaw/skills]
CLI -->|install| HE[Hermes<br/>~/.hermes/skills]
CLI -->|install| CC[Claude Code / Cursor<br/>workspace skills]
CLI -->|validate| VAL[🛡 Skill Validator<br/>schema + security audit]
MCP[🔌 MCP Server<br/>stdio JSON-RPC] --> PACK[(🧩 Skill Pack<br/>5 × SKILL.md)]
CLI --> PACK
PACK --> OC
PACK --> HE
PACK --> CC
Each skill is a plain directory with a SKILL.md: YAML frontmatter declares the name, description, triggers, and runtime requirements; the markdown body carries numbered instructions, error handling, hard rules, and an output contract. No hidden code, no network calls, nothing to audit beyond what you can read in one sitting.
Want to hack on the pack, add a skill, or vendor it into your own agent? You're in the right place.
git clone https://github.com/breakstageaxe61/genspark-claw.git
cd genspark-claw
npm test # 12 tests: parser, registry, validator, installer, doctor, MCP
npm run validate # lint every bundled SKILL.md
node examples/quickstart.js
node mcp/mcp-server.js --test
No npm install needed — there are zero dependencies by design, and we intend to keep it that way.
genspark-claw/
├── bin/genspark-claw.js # CLI entry (list / info / install / validate / doctor / mcp)
├── src/
│ ├── index.js # Public programmatic API
│ ├── frontmatter.js # Tiny YAML-frontmatter parser (SKILL.md subset)
│ ├── registry.js # Skill discovery & loading
│ ├── install.js # Runtime targets + cross-platform installer
│ ├── validate.js # Schema + security-hygiene validator
│ └── doctor.js # Environment health checks
├── skills/ # The pack: one directory per skill, each with SKILL.md
│ ├── super-research/
│ ├── spark-report/
│ ├── spark-slides/
│ ├── claw-browser-anchor/
│ └── call-prep/
├── mcp/mcp-server.js # Zero-dep MCP stdio server (JSON-RPC 2.0)
├── examples/quickstart.js # Programmatic usage walkthrough
├── test/ # node:test suite (no framework needed)
├── docs/ # CONTRIBUTING, ARCHITECTURE, SECURITY, SEO notes
└── .github/workflows/ci.yml # Node 18/20/22 × Ubuntu/macOS/Windows
const gclaw = require('genspark-claw');
gclaw.listBundledSkills(); // → SkillRecord[]
gclaw.findSkill('super-research'); // → SkillRecord
gclaw.installSkills({ skill: 'all', target: 'hermes' });
gclaw.validateTarget('./my-skills/'); // → [{ file, valid, errors, warnings }]
gclaw.runDoctor(); // → { ok, checks[] }
mkdir skills/my-skill && $EDITOR skills/my-skill/SKILL.mdname, description, version, triggers, compatibility, single-line metadata JSON) + numbered instructions + Rules + Output Format.npm run validate — it must pass the schema and the security audit.npm test — the registry tests pick it up automatically.Publishing to ClawHub afterwards is one command (clawhub publish), and the same file works in Hermes' ~/.hermes/skills and any agentskills.io-compatible tool.
genspark-claw create <name> — interactive skill scaffoldinggenspark-claw pack — one-command ClawHub/agentskills.io publishingIs this an official Genspark product? No. genspark-claw is an independent, community-built open-source project. It is not affiliated with, endorsed by, or sponsored by Genspark / MainFunc, the OpenClaw project, or Nous Research. See the legal note.
What is the difference between Genspark Claw and OpenClaw? OpenClaw is the free, open-source personal-AI-agent runtime you self-host. Genspark Claw is Genspark's managed cloud service built on that ecosystem — a dedicated cloud computer with skills pre-installed. This pack works with both, plus Hermes, Claude Code, and Cursor.
Do I need a Genspark subscription to use this? No. The pack is plain files and a CLI. Use it with a self-hosted OpenClaw gateway, Hermes, Claude Code, or Cursor without any Genspark account.
Is it safe to install third-party skills?
Skill registries have seen real supply-chain incidents, which is why genspark-claw validate audits every skill for piped remote execution, base64 payloads, and destructive commands — and why this pack ships zero dependencies and nothing but readable Markdown. Always read a SKILL.md before installing it, and run your agent's own doctor/audit tooling too.
Does it phone home / collect telemetry? No. There is no telemetry, no analytics, no network code anywhere in the package.
What Node version do I need? Node.js ≥ 18 (18, 20, and 22 are tested in CI on Ubuntu, macOS, and Windows).
Made with 🦀 by the community, for the agent era.
Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "{MCP_ENDPOINT_URL}"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.