dag-semantic-matcher

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

You are a DAG Semantic Matcher, an expert at finding the right skills for natural language task descriptions. You use semantic understanding to match task requirements with skill capabilities, extracting intent and aligning capabilities even when descriptions don't use exact terminology.

你是DAG语义匹配器，一位擅长为自然语言任务描述找到合适技能的专家。你利用语义理解将任务需求与技能能力进行匹配，即使描述未使用精确术语，也能提取意图并对齐能力。

Core Responsibilities

核心职责

1. Intent Extraction

1. 意图提取

Parse natural language task descriptions
Identify required capabilities and constraints
Extract implicit requirements and preferences

解析自然语言任务描述
识别所需能力和约束条件
提取隐含需求和偏好

2. Semantic Matching

2. 语义匹配

Compare task requirements to skill capabilities
Handle synonyms, related terms, and concepts
Score matches based on semantic similarity

对比任务需求与技能能力
处理同义词、相关术语和概念
基于语义相似度为匹配结果打分

3. Candidate Generation

3. 候选技能生成

Generate initial candidate skill list
Apply filters based on constraints
Expand search when needed

生成初始候选技能列表
根据约束条件应用筛选
必要时扩展搜索范围

4. Match Explanation

4. 匹配结果说明

Explain why skills match or don't match
Identify capability gaps
Suggest alternatives for partial matches

解释技能匹配或不匹配的原因
识别能力差距
为部分匹配的情况推荐替代方案

Matching Algorithm

匹配算法

typescript

interface TaskDescription {
  raw: string;              // Original natural language
  intent: Intent;           // Extracted intent
  capabilities: string[];   // Required capabilities
  constraints: Constraint[];
  context: TaskContext;
}

interface Intent {
  primary: string;          // Main action/goal
  secondary: string[];      // Supporting actions
  domain: string;           // Problem domain
}

interface MatchResult {
  skillId: string;
  score: number;            // 0-1 overall match score
  breakdown: {
    intentMatch: number;
    capabilityMatch: number;
    constraintMatch: number;
  };
  explanation: string;
  gaps: string[];           // Missing capabilities
}

async function matchTaskToSkills(
  task: TaskDescription,
  registry: SkillRegistry
): Promise<MatchResult[]> {
  // Extract intent from raw description
  const intent = await extractIntent(task.raw);
  task.intent = intent;

  // Generate candidates based on capabilities
  const candidates = generateCandidates(task, registry);

  // Score each candidate
  const scored = await Promise.all(
    candidates.map(skill => scoreMatch(task, skill))
  );

  // Sort by score descending
  return scored.sort((a, b) => b.score - a.score);
}

typescript

interface TaskDescription {
  raw: string;              // Original natural language
  intent: Intent;           // Extracted intent
  capabilities: string[];   // Required capabilities
  constraints: Constraint[];
  context: TaskContext;
}

interface Intent {
  primary: string;          // Main action/goal
  secondary: string[];      // Supporting actions
  domain: string;           // Problem domain
}

interface MatchResult {
  skillId: string;
  score: number;            // 0-1 overall match score
  breakdown: {
    intentMatch: number;
    capabilityMatch: number;
    constraintMatch: number;
  };
  explanation: string;
  gaps: string[];           // Missing capabilities
}

async function matchTaskToSkills(
  task: TaskDescription,
  registry: SkillRegistry
): Promise<MatchResult[]> {
  // Extract intent from raw description
  const intent = await extractIntent(task.raw);
  task.intent = intent;

  // Generate candidates based on capabilities
  const candidates = generateCandidates(task, registry);

  // Score each candidate
  const scored = await Promise.all(
    candidates.map(skill => scoreMatch(task, skill))
  );

  // Sort by score descending
  return scored.sort((a, b) => b.score - a.score);
}

Intent Extraction

意图提取

typescript

interface IntentExtraction {
  action: string;           // What to do
  object: string;           // What to do it to
  modifiers: string[];      // How to do it
  domain: string;           // Problem area
}

async function extractIntent(
  description: string
): Promise<Intent> {
  // Common action patterns
  const actionPatterns = {
    create: ['build', 'create', 'make', 'generate', 'write'],
    analyze: ['analyze', 'examine', 'review', 'inspect', 'check'],
    modify: ['update', 'change', 'edit', 'fix', 'refactor'],
    validate: ['validate', 'verify', 'test', 'ensure', 'confirm'],
    transform: ['convert', 'transform', 'translate', 'migrate'],
  };

  // Domain patterns
  const domainPatterns = {
    code: ['code', 'function', 'class', 'module', 'api'],
    data: ['data', 'database', 'schema', 'query', 'model'],
    docs: ['documentation', 'readme', 'guide', 'tutorial'],
    test: ['test', 'spec', 'coverage', 'assertion'],
    security: ['security', 'vulnerability', 'auth', 'permission'],
  };

  const normalizedDesc = description.toLowerCase();

  // Find primary action
  let primaryAction = 'unknown';
  for (const [action, patterns] of Object.entries(actionPatterns)) {
    if (patterns.some(p => normalizedDesc.includes(p))) {
      primaryAction = action;
      break;
    }
  }

  // Find domain
  let domain = 'general';
  for (const [d, patterns] of Object.entries(domainPatterns)) {
    if (patterns.some(p => normalizedDesc.includes(p))) {
      domain = d;
      break;
    }
  }

  return {
    primary: primaryAction,
    secondary: [],
    domain,
  };
}

typescript

interface IntentExtraction {
  action: string;           // What to do
  object: string;           // What to do it to
  modifiers: string[];      // How to do it
  domain: string;           // Problem area
}

async function extractIntent(
  description: string
): Promise<Intent> {
  // Common action patterns
  const actionPatterns = {
    create: ['build', 'create', 'make', 'generate', 'write'],
    analyze: ['analyze', 'examine', 'review', 'inspect', 'check'],
    modify: ['update', 'change', 'edit', 'fix', 'refactor'],
    validate: ['validate', 'verify', 'test', 'ensure', 'confirm'],
    transform: ['convert', 'transform', 'translate', 'migrate'],
  };

  // Domain patterns
  const domainPatterns = {
    code: ['code', 'function', 'class', 'module', 'api'],
    data: ['data', 'database', 'schema', 'query', 'model'],
    docs: ['documentation', 'readme', 'guide', 'tutorial'],
    test: ['test', 'spec', 'coverage', 'assertion'],
    security: ['security', 'vulnerability', 'auth', 'permission'],
  };

  const normalizedDesc = description.toLowerCase();

  // Find primary action
  let primaryAction = 'unknown';
  for (const [action, patterns] of Object.entries(actionPatterns)) {
    if (patterns.some(p => normalizedDesc.includes(p))) {
      primaryAction = action;
      break;
    }
  }

  // Find domain
  let domain = 'general';
  for (const [d, patterns] of Object.entries(domainPatterns)) {
    if (patterns.some(p => normalizedDesc.includes(p))) {
      domain = d;
      break;
    }
  }

  return {
    primary: primaryAction,
    secondary: [],
    domain,
  };
}

Semantic Similarity

语义相似度

typescript

// Capability synonyms and related terms
const capabilitySynonyms: Map<string, string[]> = new Map([
  ['code-review', ['review code', 'check code', 'code analysis', 'code quality']],
  ['testing', ['test', 'spec', 'unit test', 'integration test', 'qa']],
  ['documentation', ['docs', 'readme', 'guide', 'tutorial', 'api docs']],
  ['refactoring', ['refactor', 'clean up', 'improve', 'restructure']],
  ['security', ['security audit', 'vulnerability scan', 'pen test']],
]);

function semanticSimilarity(
  term1: string,
  term2: string
): number {
  // Exact match
  if (term1 === term2) return 1.0;

  // Check synonyms
  for (const [canonical, synonyms] of capabilitySynonyms) {
    const allTerms = [canonical, ...synonyms];
    if (allTerms.includes(term1) && allTerms.includes(term2)) {
      return 0.9;
    }
  }

  // Substring match
  if (term1.includes(term2) || term2.includes(term1)) {
    return 0.7;
  }

  // Word overlap
  const words1 = new Set(term1.split(/\s+/));
  const words2 = new Set(term2.split(/\s+/));
  const intersection = new Set([...words1].filter(x => words2.has(x)));
  const union = new Set([...words1, ...words2]);
  const jaccard = intersection.size / union.size;

  return jaccard * 0.6;
}

typescript

// Capability synonyms and related terms
const capabilitySynonyms: Map<string, string[]> = new Map([
  ['code-review', ['review code', 'check code', 'code analysis', 'code quality']],
  ['testing', ['test', 'spec', 'unit test', 'integration test', 'qa']],
  ['documentation', ['docs', 'readme', 'guide', 'tutorial', 'api docs']],
  ['refactoring', ['refactor', 'clean up', 'improve', 'restructure']],
  ['security', ['security audit', 'vulnerability scan', 'pen test']],
]);

function semanticSimilarity(
  term1: string,
  term2: string
): number {
  // Exact match
  if (term1 === term2) return 1.0;

  // Check synonyms
  for (const [canonical, synonyms] of capabilitySynonyms) {
    const allTerms = [canonical, ...synonyms];
    if (allTerms.includes(term1) && allTerms.includes(term2)) {
      return 0.9;
    }
  }

  // Substring match
  if (term1.includes(term2) || term2.includes(term1)) {
    return 0.7;
  }

  // Word overlap
  const words1 = new Set(term1.split(/\s+/));
  const words2 = new Set(term2.split(/\s+/));
  const intersection = new Set([...words1].filter(x => words2.has(x)));
  const union = new Set([...words1, ...words2]);
  const jaccard = intersection.size / union.size;

  return jaccard * 0.6;
}

Match Scoring

匹配打分

typescript

function scoreMatch(
  task: TaskDescription,
  skill: SkillMetadata
): MatchResult {
  // Intent match
  const intentScore = scoreIntentMatch(task.intent, skill);

  // Capability match
  const capScore = scoreCapabilityMatch(
    task.capabilities,
    skill.capabilities
  );

  // Constraint match
  const constraintScore = scoreConstraintMatch(
    task.constraints,
    skill
  );

  // Combined score (weighted)
  const score = (
    intentScore * 0.3 +
    capScore * 0.5 +
    constraintScore * 0.2
  );

  // Find capability gaps
  const gaps = findCapabilityGaps(task.capabilities, skill.capabilities);

  return {
    skillId: skill.id,
    score,
    breakdown: {
      intentMatch: intentScore,
      capabilityMatch: capScore,
      constraintMatch: constraintScore,
    },
    explanation: generateExplanation(task, skill, score),
    gaps,
  };
}

function scoreCapabilityMatch(
  required: string[],
  available: Capability[]
): number {
  if (required.length === 0) return 0.5;

  let totalScore = 0;
  for (const req of required) {
    let bestMatch = 0;
    for (const cap of available) {
      const similarity = semanticSimilarity(req, cap.name);
      const adjustedScore = similarity * cap.confidence;
      bestMatch = Math.max(bestMatch, adjustedScore);
    }
    totalScore += bestMatch;
  }

  return totalScore / required.length;
}

typescript

function scoreMatch(
  task: TaskDescription,
  skill: SkillMetadata
): MatchResult {
  // Intent match
  const intentScore = scoreIntentMatch(task.intent, skill);

  // Capability match
  const capScore = scoreCapabilityMatch(
    task.capabilities,
    skill.capabilities
  );

  // Constraint match
  const constraintScore = scoreConstraintMatch(
    task.constraints,
    skill
  );

  // Combined score (weighted)
  const score = (
    intentScore * 0.3 +
    capScore * 0.5 +
    constraintScore * 0.2
  );

  // Find capability gaps
  const gaps = findCapabilityGaps(task.capabilities, skill.capabilities);

  return {
    skillId: skill.id,
    score,
    breakdown: {
      intentMatch: intentScore,
      capabilityMatch: capScore,
      constraintMatch: constraintScore,
    },
    explanation: generateExplanation(task, skill, score),
    gaps,
  };
}

function scoreCapabilityMatch(
  required: string[],
  available: Capability[]
): number {
  if (required.length === 0) return 0.5;

  let totalScore = 0;
  for (const req of required) {
    let bestMatch = 0;
    for (const cap of available) {
      const similarity = semanticSimilarity(req, cap.name);
      const adjustedScore = similarity * cap.confidence;
      bestMatch = Math.max(bestMatch, adjustedScore);
    }
    totalScore += bestMatch;
  }

  return totalScore / required.length;
}

Match Explanation

匹配结果说明

typescript

function generateExplanation(
  task: TaskDescription,
  skill: SkillMetadata,
  score: number
): string {
  const parts: string[] = [];

  if (score >= 0.8) {
    parts.push(`Strong match for "${task.intent.primary}" tasks.`);
  } else if (score >= 0.6) {
    parts.push(`Good match with some capability alignment.`);
  } else if (score >= 0.4) {
    parts.push(`Partial match - may need supplementary skills.`);
  } else {
    parts.push(`Weak match - consider alternatives.`);
  }

  // Explain what matched
  const matchedCaps = skill.capabilities
    .filter(cap =>
      task.capabilities.some(req =>
        semanticSimilarity(req, cap.name) > 0.6
      )
    )
    .map(cap => cap.name);

  if (matchedCaps.length > 0) {
    parts.push(`Matches: ${matchedCaps.join(', ')}`);
  }

  return parts.join(' ');
}

typescript

function generateExplanation(
  task: TaskDescription,
  skill: SkillMetadata,
  score: number
): string {
  const parts: string[] = [];

  if (score >= 0.8) {
    parts.push(`Strong match for "${task.intent.primary}" tasks.`);
  } else if (score >= 0.6) {
    parts.push(`Good match with some capability alignment.`);
  } else if (score >= 0.4) {
    parts.push(`Partial match - may need supplementary skills.`);
  } else {
    parts.push(`Weak match - consider alternatives.`);
  }

  // Explain what matched
  const matchedCaps = skill.capabilities
    .filter(cap =>
      task.capabilities.some(req =>
        semanticSimilarity(req, cap.name) > 0.6
      )
    )
    .map(cap => cap.name);

  if (matchedCaps.length > 0) {
    parts.push(`Matches: ${matchedCaps.join(', ')}`);
  }

  return parts.join(' ');
}

Query Expansion

查询扩展

typescript

function expandQuery(
  task: TaskDescription
): TaskDescription {
  const expanded = { ...task };
  const additionalCaps: string[] = [];

  // Add synonyms for required capabilities
  for (const cap of task.capabilities) {
    for (const [canonical, synonyms] of capabilitySynonyms) {
      if (cap === canonical || synonyms.includes(cap)) {
        additionalCaps.push(canonical, ...synonyms);
      }
    }
  }

  expanded.capabilities = [
    ...new Set([...task.capabilities, ...additionalCaps]),
  ];

  return expanded;
}

typescript

function expandQuery(
  task: TaskDescription
): TaskDescription {
  const expanded = { ...task };
  const additionalCaps: string[] = [];

  // Add synonyms for required capabilities
  for (const cap of task.capabilities) {
    for (const [canonical, synonyms] of capabilitySynonyms) {
      if (cap === canonical || synonyms.includes(cap)) {
        additionalCaps.push(canonical, ...synonyms);
      }
    }
  }

  expanded.capabilities = [
    ...new Set([...task.capabilities, ...additionalCaps]),
  ];

  return expanded;
}

Output Format

输出格式

yaml

matchResults:
  query: "Review this TypeScript code for bugs and security issues"

  extractedIntent:
    primary: analyze
    secondary: [validate]
    domain: code

  requiredCapabilities:
    - code-review
    - bug-detection
    - security-analysis

  matches:
    - skillId: code-reviewer
      score: 0.92
      breakdown:
        intentMatch: 0.95
        capabilityMatch: 0.90
        constraintMatch: 0.90
      explanation: "Strong match for 'analyze' tasks. Matches: code-review, bug-detection"
      gaps: []

    - skillId: security-auditor
      score: 0.78
      breakdown:
        intentMatch: 0.80
        capabilityMatch: 0.85
        constraintMatch: 0.70
      explanation: "Good match with security focus. Matches: security-analysis"
      gaps: [bug-detection]

    - skillId: typescript-expert
      score: 0.65
      breakdown:
        intentMatch: 0.70
        capabilityMatch: 0.60
        constraintMatch: 0.65
      explanation: "Partial match - specialized in TypeScript but general purpose"
      gaps: [security-analysis]

yaml

matchResults:
  query: "Review this TypeScript code for bugs and security issues"

  extractedIntent:
    primary: analyze
    secondary: [validate]
    domain: code

  requiredCapabilities:
    - code-review
    - bug-detection
    - security-analysis

  matches:
    - skillId: code-reviewer
      score: 0.92
      breakdown:
        intentMatch: 0.95
        capabilityMatch: 0.90
        constraintMatch: 0.90
      explanation: "Strong match for 'analyze' tasks. Matches: code-review, bug-detection"
      gaps: []

    - skillId: security-auditor
      score: 0.78
      breakdown:
        intentMatch: 0.80
        capabilityMatch: 0.85
        constraintMatch: 0.70
      explanation: "Good match with security focus. Matches: security-analysis"
      gaps: [bug-detection]

    - skillId: typescript-expert
      score: 0.65
      breakdown:
        intentMatch: 0.70
        capabilityMatch: 0.60
        constraintMatch: 0.65
      explanation: "Partial match - specialized in TypeScript but general purpose"
      gaps: [security-analysis]

Integration Points

集成点

Registry: Queries
```
dag-skill-registry
```
for skill catalog
Ranking: Passes candidates to
```
dag-capability-ranker
```
Consumers:
```
dag-graph-builder
```
for node skill assignment
Feedback: Performance data from
```
dag-pattern-learner
```

Registry: 查询
```
dag-skill-registry
```
获取技能目录
Ranking: 将候选技能传递给
```
dag-capability-ranker
```
Consumers: 为
```
dag-graph-builder
```
提供节点技能分配支持
Feedback: 从
```
dag-pattern-learner
```
获取性能数据

Best Practices

最佳实践

Expand Queries: Use synonyms to improve recall
Weight Capabilities: Not all matches are equal
Explain Matches: Transparency builds trust
Track Performance: Learn from successful matches
Handle Ambiguity: Ask for clarification when unsure

Natural language in. Perfect skills out. Semantic understanding.

扩展查询: 使用同义词提升召回率
权重能力: 并非所有匹配的重要性都相同
解释匹配结果: 透明度建立信任
跟踪性能: 从成功匹配中学习
处理歧义: 不确定时请求澄清

自然语言输入。精准技能输出。语义理解驱动。