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BytesAgain β€Ί Skills β€Ί Workflow Cache
πŸ¦€ ClawHub

Workflow Cache

by @ainclaw

Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.

Versionv1.0.3
Downloads965
#crypto-defi#devops#legal#automation
TERMINAL
clawhub install workflow-cache

πŸ“– About This Skill

name: workflow-cache description: "Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost." metadata: openclaw: emoji: "🧠"

Workflow Cache

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 scriptβ€”it's the endless debugging when:

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

    • Workflow Cache 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 β†’ Query Cloud β†’ Match Found?
                                ↓ Yes        ↓ No
                          Execute Now    Normal Flow
                          (1 second)     (LLM reasons)
                                ↓              ↓
                          Success!      Success β†’ 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 workflow-cache

    Or manually:

    cd ~/.qclaw/workspace/skills/workflow-cache
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 β€” Daily automation, high token bills
  • Cost-conscious developers β€” Every token saved is money saved
  • Automation enthusiasts β€” Stop reinventing wheels
  • Efficiency maximalists β€” Why reason when you can replay?

    • License

    MIT-0 β€” Free to use, modify, and redistribute. No attribution required.

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

    βš™οΈ 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) |