⏳ This skill is pending AI review.
Scores will appear once the review pipeline completes.
call-prep
Prepare an AI phone call end-to-end — research the callee, set a concrete objective and fallback, draft a natural call script with branching, and produce a post-call summary template.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
// README
🦀⚡ genspark-claw
The community skill pack & CLI for Genspark Claw, OpenClaw, and Hermes agents
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
…
🌟 Why genspark-claw?
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 |
🚀 Quick Start (macOS)
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.
🧩 Bundled Skills
| 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.
🎯 Install Skills Into Your Agent
🦀 Genspark Claw / OpenClaw
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/.
🐍 Hermes (Nous Research)
npx genspark-claw install all --target hermes
# → copies skills into ~/.hermes/skills/
🤖 Claude Code / 📝 Cursor
npx genspark-claw install all --target claude # ~/.claude/skills/
npx genspark-claw install all --target cursor # ~/.cursor/skills/
📁 Project-local workspace
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
🔌 MCP Server (Claude Desktop · Cursor · Windsurf)
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_desk
// HOW IT'S BUILT
KEY FILES