feat(prompts): add extract, score, and validate-claims pack

packages/intelligence/README.md

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+# @cv-builder/intelligence
+
+The scoring brain the prompts and skill reference: the fixed rubric, the role
+archetypes, and the validator specs.
+
+- **Rubric v1** — six dimensions (Shipped Evidence, Quantified Impact, Tech/Tool
+  Visibility, ATS Compatibility, Keyword Match, Public Proof) with 0–5 anchors,
+  tagged `RUBRIC_VERSION`.
+- **Archetypes** — role config (keywords, dimension weights, action verbs,
+  anti-patterns). Ships Software Engineer, Product Manager, Data & ML Engineer.
+  Add one by dropping a file in `src/archetypes/` and registering it.
+- **Validators** — `checkAtsCompatibility()` plus the ATS and claim rule sets
+  the prompts encode.
+
+`detectArchetype(resumeText)` picks the best-matching archetype, falling back to
+Software Engineer when there's no signal.

packages/intelligence/package.json

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+{
+  "name": "@cv-builder/intelligence",
+  "version": "0.1.0",
+  "description": "Scoring rubric, role archetypes, and validators for CV evaluation",
+  "type": "module",
+  "main": "dist/index.js",
+  "types": "dist/index.d.ts",
+  "exports": {
+    ".": {
+      "types": "./dist/index.d.ts",
+      "import": "./dist/index.js"
+    }
+  },
+  "scripts": {
+    "build": "tsc",
+    "dev": "tsc --watch",
+    "lint": "tsc --noEmit",
+    "test": "vitest run"
+  },
+  "dependencies": {
+    "@cv-builder/schemas": "workspace:*"
+  },
+  "devDependencies": {
+    "@types/node": "^25.6.2",
+    "typescript": "^5.7.0",
+    "vitest": "^3.0.0"
+  },
+  "keywords": [
+    "cv",
+    "resume",
+    "rubric",
+    "archetypes",
+    "ats"
+  ],
+  "license": "MIT"
+}

packages/intelligence/src/__tests__/intelligence.test.ts

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+import { ArchetypeSchema } from "@cv-builder/schemas";
+import { describe, expect, it } from "vitest";
+import { ARCHETYPES, checkAtsCompatibility, detectArchetype, RUBRIC } from "../index.js";
+
+describe("archetypes", () => {
+  it("ships at least 3, each valid against the schema", () => {
+    expect(ARCHETYPES.length).toBeGreaterThanOrEqual(3);
+    for (const archetype of ARCHETYPES) {
+      expect(ArchetypeSchema.safeParse(archetype).success, archetype.id).toBe(true);
+    }
+  });
+
+  it("has weights summing to 1.0", () => {
+    for (const { id, evaluationWeights } of ARCHETYPES) {
+      const sum = Object.values(evaluationWeights).reduce((a, b) => a + b, 0);
+      expect(sum, id).toBeCloseTo(1, 5);
+    }
+  });
+
+  it("covers every rubric dimension with a weight", () => {
+    const keys = RUBRIC.dimensions.map((d) => d.key).sort();
+    for (const { id, evaluationWeights } of ARCHETYPES) {
+      expect(Object.keys(evaluationWeights).sort(), id).toEqual(keys);
+    }
+  });
+});
+
+describe("detectArchetype", () => {
+  it("detects a software engineer resume", () => {
+    const text =
+      "Built React and Node services, scaled Postgres, deployed on Kubernetes.";
+    expect(detectArchetype(text).id).toBe("software-engineer");
+  });
+
+  it("detects a product manager resume", () => {
+    const text = "Owned the roadmap, ran A/B testing and user research, grew retention.";
+    expect(detectArchetype(text).id).toBe("product-manager");
+  });
+
+  it("falls back to the default on no signal", () => {
+    expect(detectArchetype("hello world").id).toBe("software-engineer");
+  });
+
+  it("matches whole words only, not substrings", () => {
+    const text =
+      "Drove go-to-market with MongoDB-backed analytics, owned the roadmap and funnel.";
+    expect(detectArchetype(text).id).toBe("product-manager");
+  });
+});
+
+describe("checkAtsCompatibility", () => {
+  it("flags a table layout", () => {
+    expect(checkAtsCompatibility("| Skills | Years |\n| React | 5 |").compatible).toBe(
+      false
+    );
+  });
+
+  it("passes clean single-column text", () => {
+    const text = "Experience\nBuilt things at Acme.\nContact: jane@example.com";
+    expect(checkAtsCompatibility(text).compatible).toBe(true);
+  });
+});

packages/intelligence/src/archetypes/data-ml-engineer.ts

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+import type { Archetype } from "@cv-builder/schemas";
+
+export const dataMlEngineer: Archetype = {
+  id: "data-ml-engineer",
+  name: "Data & ML Engineer",
+  description: "Engineers building data pipelines and machine learning systems",
+  keywords: [
+    "python",
+    "sql",
+    "spark",
+    "airflow",
+    "dbt",
+    "pandas",
+    "pytorch",
+    "tensorflow",
+    "scikit-learn",
+    "feature engineering",
+    "etl",
+    "data pipeline",
+    "warehouse",
+    "snowflake",
+    "bigquery",
+    "mlops",
+    "model serving",
+    "experiment tracking",
+  ],
+  evaluationWeights: {
+    shippedEvidence: 0.25,
+    quantifiedImpact: 0.2,
+    toolingVisibility: 0.25,
+    atsCompatibility: 0.1,
+    keywordMatch: 0.1,
+    publicProof: 0.1,
+  },
+  actionVerbs: [
+    "Built",
+    "Trained",
+    "Deployed",
+    "Productionized",
+    "Optimized",
+    "Automated",
+    "Modeled",
+    "Scaled",
+  ],
+  antiPatterns: [
+    "familiar with machine learning",
+    "exposure to data science",
+    "worked with big data",
+    "passionate about AI",
+  ],
+  version: "1.0.0",
+};

packages/intelligence/src/archetypes/index.ts

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+import type { Archetype } from "@cv-builder/schemas";
+import { dataMlEngineer } from "./data-ml-engineer.js";
+import { productManager } from "./product-manager.js";
+import { softwareEngineer } from "./software-engineer.js";
+
+// Register new archetypes here. Software Engineer is the fallback when nothing
+// else clearly matches.
+export const ARCHETYPES: Archetype[] = [softwareEngineer, productManager, dataMlEngineer];
+
+export const DEFAULT_ARCHETYPE = softwareEngineer;
+
+export function getArchetype(id: string): Archetype | undefined {
+  return ARCHETYPES.find((a) => a.id === id);
+}
+
+export function listArchetypes(): Archetype[] {
+  return ARCHETYPES;
+}
+
+export { dataMlEngineer, productManager, softwareEngineer };

packages/intelligence/src/archetypes/product-manager.ts

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+import type { Archetype } from "@cv-builder/schemas";
+
+export const productManager: Archetype = {
+  id: "product-manager",
+  name: "Product Manager",
+  description: "Product managers owning discovery, roadmap, and delivery",
+  keywords: [
+    "roadmap",
+    "discovery",
+    "user research",
+    "a/b testing",
+    "experiment",
+    "okrs",
+    "kpis",
+    "retention",
+    "activation",
+    "funnel",
+    "churn",
+    "stakeholder",
+    "prioritization",
+    "agile",
+    "amplitude",
+    "mixpanel",
+    "go-to-market",
+    "pricing",
+  ],
+  evaluationWeights: {
+    shippedEvidence: 0.25,
+    quantifiedImpact: 0.25,
+    toolingVisibility: 0.1,
+    atsCompatibility: 0.15,
+    keywordMatch: 0.15,
+    publicProof: 0.1,
+  },
+  actionVerbs: [
+    "Launched",
+    "Owned",
+    "Drove",
+    "Grew",
+    "Defined",
+    "Prioritized",
+    "Increased",
+    "Reduced",
+  ],
+  antiPatterns: [
+    "passionate about products",
+    "leveraged synergies",
+    "aligned stakeholders",
+    "wore many hats",
+    "helped with",
+  ],
+  version: "1.0.0",
+};

packages/intelligence/src/archetypes/software-engineer.ts

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+import type { Archetype } from "@cv-builder/schemas";
+
+export const softwareEngineer: Archetype = {
+  id: "software-engineer",
+  name: "Software Engineer",
+  description: "Frontend, backend, and full-stack engineers building software",
+  keywords: [
+    "typescript",
+    "javascript",
+    "python",
+    "go",
+    "java",
+    "react",
+    "node",
+    "postgres",
+    "redis",
+    "kafka",
+    "docker",
+    "kubernetes",
+    "aws",
+    "ci/cd",
+    "microservices",
+    "rest",
+    "graphql",
+    "testing",
+    "system design",
+  ],
+  evaluationWeights: {
+    shippedEvidence: 0.3,
+    quantifiedImpact: 0.2,
+    toolingVisibility: 0.2,
+    atsCompatibility: 0.1,
+    keywordMatch: 0.1,
+    publicProof: 0.1,
+  },
+  actionVerbs: [
+    "Built",
+    "Shipped",
+    "Designed",
+    "Scaled",
+    "Optimized",
+    "Migrated",
+    "Automated",
+    "Refactored",
+  ],
+  antiPatterns: [
+    "familiar with",
+    "exposure to",
+    "team player",
+    "fast learner",
+    "responsible for various tasks",
+  ],
+  version: "1.0.0",
+};

packages/intelligence/src/detect.ts

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+import type { Archetype } from "@cv-builder/schemas";
+import { ARCHETYPES, DEFAULT_ARCHETYPE } from "./archetypes/index.js";
+
+function hasKeyword(text: string, keyword: string): boolean {
+  const escaped = keyword.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+  // hyphen counts as a word char so "go" doesn't match "go-to-market"
+  return new RegExp(`(?<![\\w-])${escaped}(?![\\w-])`).test(text);
+}
+
+function countMatches(text: string, keywords: string[]): number {
+  return keywords.reduce((n, kw) => (hasKeyword(text, kw.toLowerCase()) ? n + 1 : n), 0);
+}
+
+// Picks the archetype whose keywords appear most in the resume. Falls back to
+// the default when there's no signal, so detection never returns nothing.
+export function detectArchetype(
+  resumeText: string,
+  archetypes: Archetype[] = ARCHETYPES
+): Archetype {
+  const text = resumeText.toLowerCase();
+  let best = DEFAULT_ARCHETYPE;
+  let bestScore = 0;
+
+  for (const archetype of archetypes) {
+    const score = countMatches(text, archetype.keywords);
+    if (score > bestScore) {
+      best = archetype;
+      bestScore = score;
+    }
+  }
+
+  return best;
+}

packages/intelligence/src/index.ts

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+// Rubric v1, role archetypes, and the validator specs the prompts encode.
+
+export {
+  ARCHETYPES,
+  DEFAULT_ARCHETYPE,
+  dataMlEngineer,
+  getArchetype,
+  listArchetypes,
+  productManager,
+  softwareEngineer,
+} from "./archetypes/index.js";
+export { detectArchetype } from "./detect.js";
+export {
+  RUBRIC,
+  RUBRIC_DIMENSIONS,
+  RUBRIC_VERSION,
+  type RubricDimension,
+} from "./rubric.js";
+
+export { ATS_RULES, type AtsCheck, checkAtsCompatibility } from "./validators/ats.js";
+export { CLAIM_RULES } from "./validators/claims.js";