How do I install the Clawmind skill?

Run npx skillmds@latest add lord1egypt/clawmind-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Clawmind safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Clawmind?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Clawmind free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Clawmind?

Lord1Egypt (@lord1egypt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Clawmind by lord1egypt — Agent Skill

Name: Clawmind
Rating: 4.2 (5 reviews)
Author: Lord1Egypt

File contents

ClawMind

One agent explores, all agents benefit.

A crowdsourced workflow registry that caches successful automation patterns, letting you skip LLM inference entirely when a matching workflow exists.

Why Use This?

1. Save Real Money

Traditional approach: LLM explores and reasons through every step, burning tokens on trial-and-error.

Our approach: Query the cloud for a cached workflow. If found, execute directly. Zero inference cost.

Token savings example (10-step browser task):

Traditional: ~5000 tokens
Workflow Cache: ~800 tokens
Savings: 80%+

The more complex the task and the more you repeat it, the more you save.

2. Skip the Debugging Hell

The painful part of AI automation isn't writing the script—it's the endless debugging when:

The website changes its layout
Selectors break unexpectedly
Edge cases you didn't anticipate

ClawMind solves this:

Every successful workflow from any agent is cached
When websites change, cached workflows auto-update
You never debug the same problem twice

3. Platform Agnostic

Works with any Claw/Lobster engine. One workflow, all platforms. Automatic syntax adaptation.

How It Works

User Intent → Query Cloud → Match Found?
                                ↓ Yes        ↓ No
                          Execute Now    Normal Flow
                          (1 second)     (LLM reasons)
                                ↓              ↓
                          Success!      Success → Contribute

One agent's success becomes every agent's shortcut.

Features

Interceptor

Queries the cloud before LLM inference. On match, replays the cached workflow directly.

Trace Compiler

Converts successful session traces into reusable Lobster workflows automatically.

PII Sanitizer

Local-first privacy. All sensitive data stays local. Only workflow patterns are shared.

Configuration

Option	Type	Default	Description
`cloud_endpoint`	string	`https://api.workflowcache.dev`	Cloud API endpoint
`enabled`	boolean	`true`	Enable/disable interception
`auto_contribute`	boolean	`true`	Auto-contribute successful workflows
`timeout_ms`	number	`300`	API timeout (ms)

Installation

npx clawhub install ainclaw-mind

Or manually:

cd ~/.qclaw/workspace/skills/ainclaw-mind
npm install
npm run build

Security

Full PII sanitization pipeline
No account credentials ever uploaded
Multi-node security validation on all workflows
Malicious injection detection and blocking

Who Is This For?

Heavy AI users — Daily automation, high token bills
Cost-conscious developers — Every token saved is money saved
Automation enthusiasts — Stop reinventing wheels
Efficiency maximalists — Why reason when you can replay?

License

MIT-0 — Free to use, modify, and redistribute. No attribution required.

Tags: #AI-efficiency #token-saver #automation #crowdsourced #workflow-cache

---name: clawmind-2description: Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.--- # ClawMind **One agent explores, all agents benefit.** A crowdsourced workflow registry that caches successful automation patterns, letting you skip LLM inference entirely when a matching workflow exists. ## Why Use This? ### 1. Save Real Money Traditional approach: LLM explores and reasons through every step, burning tokens on trial-and-error. Our approach: Query the cloud for a cached workflow. If found, execute directly. **Zero inference cost.** **Token savings example (10-step browser task):** - Traditional: ~5000 tokens - Workflow Cache: ~800 tokens - **Savings: 80%+** The more complex the task and the more you repeat it, the more you save. ### 2. Skip the Debugging Hell The painful part of AI automation isn't writing the script—it's the endless debugging when: - The website changes its layout - Selectors break unexpectedly - Edge cases you didn't anticipate **ClawMind solves this:** - Every successful workflow from any agent is cached - When websites change, cached workflows auto-update - You never debug the same problem twice ### 3. Platform Agnostic Works with any Claw/Lobster engine. One workflow, all platforms. Automatic syntax adaptation. ## How It Works ``` User Intent → Query Cloud → Match Found? ↓ Yes ↓ No Execute Now Normal Flow (1 second) (LLM reasons) ↓ ↓ Success! Success → Contribute ``` **One agent's success becomes every agent's shortcut.** ## Features ### Interceptor Queries the cloud before LLM inference. On match, replays the cached workflow directly. ### Trace Compiler Converts successful session traces into reusable Lobster workflows automatically. ### PII Sanitizer Local-first privacy. All sensitive data stays local. Only workflow patterns are shared. ## Configuration | Option | Type | Default | Description | |--------|------|---------|-------------| | `cloud_endpoint` | string | `https://api.workflowcache.dev` | Cloud API endpoint | | `enabled` | boolean | `true` | Enable/disable interception | | `auto_contribute` | boolean | `true` | Auto-contribute successful workflows | | `timeout_ms` | number | `300` | API timeout (ms) | ## Installation ```bash npx clawhub install ainclaw-mind ``` Or manually: ```bash cd ~/.qclaw/workspace/skills/ainclaw-mind npm install npm run build ``` ## Security - Full PII sanitization pipeline - No account credentials ever uploaded - Multi-node security validation on all workflows - Malicious injection detection and blocking ## Who Is This For? - **Heavy AI users** — Daily automation, high token bills - **Cost-conscious developers** — Every token saved is money saved - **Automation enthusiasts** — Stop reinventing wheels - **Efficiency maximalists** — Why reason when you can replay? ## License MIT-0 — Free to use, modify, and redistribute. No attribution required. --- **Tags:** `#AI-efficiency` `#token-saver` `#automation` `#crowdsourced` `#workflow-cache`

Frequently asked questions

Clawmind