tpmjs/packages/tools/official/prompt-to-workflow-skeleton
Ajax Davis 09fd0a5833 feat: add 55 new business tools and improve existing implementations
New tools added across multiple domains:
- Sales: lead-score, proposal-outline, objection-response
- Marketing: competitor-brief, campaign-brief, social-post-draft, email-subject-score, audience-persona, content-calendar-plan, pricing-page-copy
- HR: job-description-draft, interview-questions, performance-review-draft, onboarding-checklist, compensation-band, survey-analyze, org-chart-format, offer-letter-draft, exit-interview-summarize, policy-doc-format
- Legal: contract-clause-scan, nda-template-draft, tos-readability, risk-clause-highlight, invoice-terms-extract, gdpr-data-map, copyright-notice, trademark-check
- Finance: expense-categorize, invoice-data-extract, budget-variance, cash-flow-project, revenue-breakdown, ratio-analysis, tax-deduction-scan, reconciliation-match
- Customer Experience: feedback-themes, churn-risk-score, nps-analysis, ticket-categorize, response-template-suggest, health-score-calculate, renewal-forecast
- Education: lesson-plan-outline, quiz-generate, rubric-create, syllabus-format, progress-report-draft, learning-objective-write, curriculum-map

Also includes improvements to 68 existing tool implementations.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-01 19:23:32 +10:00
..
src feat: add 55 new business tools and improve existing implementations 2026-01-01 19:23:32 +10:00
CHANGELOG.md chore: version packages 2025-12-31 23:54:47 +10:00
package.json chore: version packages 2025-12-31 23:54:47 +10:00
README.md feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
tsconfig.json feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
tsup.config.ts feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00

@tpmjs/tools-prompt-to-workflow-skeleton

Creates workflow skeleton from natural language prompt. Analyzes user intent and maps to available tools to generate a workflow structure.

Installation

npm install @tpmjs/tools-prompt-to-workflow-skeleton

Usage

import { promptToWorkflowSkeletonTool } from '@tpmjs/tools-prompt-to-workflow-skeleton';

const result = await promptToWorkflowSkeletonTool.execute({
  prompt: 'Fetch user data from the API, validate it, and save it to the database',
  availableTools: [
    'fetchTool',
    'validateTool',
    'saveTool',
    'logTool',
    'errorHandlerTool',
  ],
});

console.log(result);
// {
//   skeleton: {
//     name: 'Fetch User Data',
//     description: 'Fetch user data from the API, validate it, and save it to the database',
//     steps: [
//       {
//         stepNumber: 1,
//         toolName: 'fetch',
//         purpose: 'Fetch the data',
//         estimatedInputs: ['inputData'],
//         estimatedOutputs: ['output1'],
//         isAvailable: true
//       },
//       {
//         stepNumber: 2,
//         toolName: 'validate',
//         purpose: 'Validate the data',
//         estimatedInputs: ['output1'],
//         estimatedOutputs: ['output2'],
//         isAvailable: true
//       },
//       {
//         stepNumber: 3,
//         toolName: 'save',
//         purpose: 'Save the data',
//         estimatedInputs: ['output2'],
//         estimatedOutputs: ['output3'],
//         isAvailable: true
//       }
//     ]
//   },
//   suggestedTools: [
//     {
//       name: 'fetch',
//       reason: 'Required to fetch data in the workflow',
//       priority: 'high',
//       isAvailable: true
//     },
//     ...
//   ],
//   confidence: 0.9,
//   analysis: {
//     detectedIntent: 'fetch transform save',
//     complexity: 'moderate',
//     estimatedSteps: 3,
//     keyActions: ['fetch', 'validate', 'save']
//   }
// }

Features

  • NLP Analysis: Parses natural language to detect workflow intent and key actions
  • Pattern Recognition: Identifies common workflow patterns (fetch-transform-save, analyze-report, etc.)
  • Tool Validation: Checks if suggested tools are available from the provided list
  • Confidence Scoring: Provides a confidence score (0-1) for the generated skeleton
  • Complexity Assessment: Categorizes workflow as simple, moderate, or complex
  • Step Chaining: Automatically chains step outputs to next step inputs

Input Schema

{
  prompt: string;              // Natural language workflow description
  availableTools?: string[];   // Optional list of available tool names
}

Output Schema

{
  skeleton: {
    name: string;              // Generated workflow name
    description: string;       // Workflow description (from prompt)
    steps: Array<{             // Generated workflow steps
      stepNumber: number;
      toolName: string;        // Suggested tool name
      purpose: string;         // What this step does
      estimatedInputs: string[];
      estimatedOutputs: string[];
      isAvailable: boolean;    // Whether tool is in availableTools list
    }>;
  };
  suggestedTools: Array<{      // Recommended tools with reasoning
    name: string;
    reason: string;
    priority: 'high' | 'medium' | 'low';
    isAvailable: boolean;
  }>;
  confidence: number;          // 0-1 confidence score
  analysis: {
    detectedIntent: string;    // Detected workflow pattern
    complexity: 'simple' | 'moderate' | 'complex';
    estimatedSteps: number;
    keyActions: string[];      // Extracted action verbs
  };
}

Workflow Patterns

The tool recognizes common patterns:

  • fetch-transform-save: Data extraction and storage pipelines
  • analyze-report: Data analysis and reporting workflows
  • validate-action: Validation and conditional execution
  • scrape-extract: Web scraping and data extraction
  • email-notify: Notification and messaging workflows
  • aggregate-filter: Data aggregation and filtering

Confidence Scoring

Confidence is calculated based on:

  • Clarity of detected actions (base: 0.5, +0.2 if clear)
  • Tool availability (+0.3 weighted by availability ratio)
  • Complexity (bonus for 2-5 steps)

Higher confidence (>0.7) indicates the tool is confident about the generated skeleton.

Example Use Cases

Create workflow from scratch

const result = await promptToWorkflowSkeletonTool.execute({
  prompt: 'Send a daily summary email with sales data',
});
// Suggests: fetch → aggregate → format → send

Validate against available tools

const result = await promptToWorkflowSkeletonTool.execute({
  prompt: 'Process images and generate thumbnails',
  availableTools: ['fetchImage', 'resizeImage', 'saveThumbnail'],
});
// Marks tools as available/unavailable

Complex multi-step workflow

const result = await promptToWorkflowSkeletonTool.execute({
  prompt: 'Scrape product data, validate prices, filter deals, notify users',
});
// Detects: scrape → validate → filter → notify pattern

License

MIT