LaunchKit · 2026
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Dynamic goal-aware browsing assistant that generates checklists, evaluates page relevance, produces session.

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by @vamsig7

Setup & Installation

openclaw skills install @vamsig7/goal-mode

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install goal-mode

What This Skill Does

Goal-aware browsing analysis engine that works with a browser extension orchestrator. Receives structured JSON requests, generates research criteria checklists, evaluates page relevance against those criteria, and produces session wrap-ups. All session state persists to the local workspace across operations.

Maintains persistent, structured criteria tracking across browsing sessions instead of requiring manual notes or restarting goal context each time.

When to use it

  • Tracking laptop research criteria across product review pages
  • Evaluating job listings against a defined career-move checklist
  • Comparing travel destinations by custom planning criteria
  • Resuming a multi-session product comparison after closing the browser
  • Building a decision checklist for a health or financial research goal

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: I want to buy a laptop under $1000 with good battery life and durable build quality

AGENT
  1. 1Receives generate_criteria operation with goal text and base workspace path
  2. 2Reads generate-criteria.md reference file and schemas.md for shared schemas
  3. 3Generates specific, narrow criteria items scoped to the stated goal
  4. 4Writes session.json, criteria.json, and active-goal.json to the workspace
  5. 5Returns structured criteria JSON to the browser extension orchestrator
OUTPUT

JSON object containing goal slug, generated criteria array, and session metadata; active-goal.json and session files written to workspace