ea548f8112
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>
69 lines
2.2 KiB
JSON
69 lines
2.2 KiB
JSON
{
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"name": "@tpmjs/feedback-themes",
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"version": "0.1.0",
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"description": "Extracts themes and sentiment from customer feedback text",
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"type": "module",
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"keywords": ["tpmjs", "cx", "feedback", "sentiment", "analysis", "customer-success"],
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"exports": {
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".": {
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"types": "./dist/index.d.ts",
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"default": "./dist/index.js"
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}
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},
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"files": ["dist"],
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"scripts": {
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"build": "tsup",
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"dev": "tsup --watch",
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"type-check": "tsc --noEmit",
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"clean": "rm -rf dist .turbo"
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},
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"devDependencies": {
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"@tpmjs/tsconfig": "workspace:*",
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"tsup": "^8.3.5",
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"typescript": "^5.9.3"
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},
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"publishConfig": {
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"access": "public"
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},
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"repository": {
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"type": "git",
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"url": "https://github.com/ajaxdavis/tpmjs.git",
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"directory": "packages/tools/official/feedback-themes"
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},
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"homepage": "https://tpmjs.com",
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"license": "MIT",
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"tpmjs": {
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"category": "cx",
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"frameworks": ["vercel-ai"],
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"tools": [
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{
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"exportName": "feedbackThemesTool",
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"description": "Extracts themes and sentiment from customer feedback text. Identifies recurring themes, scores sentiment per theme, and provides frequency counts.",
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"parameters": [
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{
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"name": "feedback",
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"type": "string[]",
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"description": "Array of customer feedback entries",
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"required": true
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}
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],
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"returns": {
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"type": "FeedbackThemes",
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"description": "Themes with sentiment scores, frequency counts, and example feedback"
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},
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"aiAgent": {
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"useCase": "Use this tool to analyze customer feedback, identify common themes, track sentiment trends, and prioritize product improvements based on customer voice.",
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"limitations": "Sentiment analysis is keyword-based. For complex sentiment, consider using an AI model. Requires sufficient feedback volume for meaningful themes.",
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"examples": [
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"Analyze product reviews to identify improvement areas",
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"Extract themes from NPS survey comments",
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"Track sentiment trends across feedback channels"
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]
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}
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}
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]
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},
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"dependencies": {
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"ai": "6.0.0-beta.124"
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}
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}
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