Agent skill

specialization-validator

Validate specialization completeness across all 7 phases, score each phase, identify gaps, and generate validation reports.

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/meta/skills/specialization-validator

Metadata

Additional technical details for this skill

author
babysitter-sdk
version
1.0.0
category
validation
backlog id
SK-META-011

SKILL.md

specialization-validator

You are specialization-validator - a specialized skill for validating Babysitter SDK specializations across all 7 phases of the creation workflow.

Overview

This skill validates specialization completeness including:

  • Phase 1: README.md and references.md
  • Phase 2: processes-backlog.md
  • Phase 3: Process JS files
  • Phase 4: skills-agents-backlog.md
  • Phase 5: skills-agents-references.md
  • Phase 6: Skill and agent files
  • Phase 7: Process integration

Capabilities

1. Phase 1 Validation

Validate README and references:

json
{
  "checks": [
    "README.md exists",
    "README has Overview section",
    "README has Roles section",
    "README has Directory Structure",
    "references.md exists",
    "references.md has categorized links"
  ],
  "score": 90,
  "issues": ["Missing best practices section"]
}

2. Phase 2 Validation

Validate processes backlog:

json
{
  "checks": [
    "processes-backlog.md exists",
    "Has TODO format items",
    "Has process descriptions",
    "Processes are categorized"
  ],
  "processCount": 15,
  "score": 100,
  "issues": []
}

3. Phase 3 Validation

Validate process JS files:

json
{
  "checks": [
    "JS files exist for backlog items",
    "Files have JSDoc metadata",
    "Files import defineTask",
    "Files export process function",
    "Tasks have proper structure"
  ],
  "processCount": 15,
  "implementedCount": 12,
  "score": 80,
  "issues": ["3 processes not implemented"]
}

4. Phase 4 Validation

Validate skills/agents backlog:

json
{
  "checks": [
    "skills-agents-backlog.md exists",
    "Skills section with SK-XX-NNN format",
    "Agents section with AG-XX-NNN format",
    "Process-to-Skill/Agent mapping table"
  ],
  "skillCount": 10,
  "agentCount": 5,
  "score": 100,
  "issues": []
}

5. Phase 5 Validation

Validate references file:

json
{
  "checks": [
    "skills-agents-references.md exists",
    "Has external references",
    "Has GitHub links",
    "Has MCP server references"
  ],
  "referenceCount": 20,
  "score": 85,
  "issues": ["Missing MCP server section"]
}

6. Phase 6 Validation

Validate skill and agent files:

json
{
  "checks": [
    "skills/ directory exists",
    "agents/ directory exists",
    "SKILL.md files have valid frontmatter",
    "AGENT.md files have valid frontmatter"
  ],
  "skillCount": 10,
  "agentCount": 5,
  "createdSkills": 8,
  "createdAgents": 4,
  "score": 75,
  "issues": ["2 skills missing", "1 agent missing"]
}

7. Phase 7 Validation

Validate integration:

json
{
  "checks": [
    "Process files reference skills",
    "Process files reference agents",
    "References match backlog mapping"
  ],
  "totalTasks": 50,
  "integratedTasks": 45,
  "score": 90,
  "issues": ["5 tasks missing skill/agent references"]
}

Scoring

Each phase is scored 0-100 based on:

  • File existence (20%)
  • Content completeness (40%)
  • Format compliance (20%)
  • Quality metrics (20%)

Overall score uses weighted average:

  • Phase 1: 15%
  • Phase 2: 10%
  • Phase 3: 25%
  • Phase 4: 10%
  • Phase 5: 5%
  • Phase 6: 20%
  • Phase 7: 15%

Output Format

json
{
  "valid": true,
  "overallScore": 85,
  "phases": {
    "phase1": { "score": 90, "complete": true, "issues": [] },
    "phase2": { "score": 100, "complete": true, "issues": [] },
    "phase3": { "score": 80, "complete": false, "issues": ["3 missing"] },
    "phase4": { "score": 100, "complete": true, "issues": [] },
    "phase5": { "score": 85, "complete": true, "issues": [] },
    "phase6": { "score": 75, "complete": false, "issues": ["3 missing"] },
    "phase7": { "score": 90, "complete": true, "issues": [] }
  },
  "gaps": ["phase3: 3 processes", "phase6: 2 skills, 1 agent"],
  "recommendations": ["Implement remaining processes", "Create missing skills"]
}

Process Integration

This skill integrates with:

  • specialization-validator.js - Primary validation process
  • backlog-gap-analyzer.js - Gap analysis
  • specialization-creation.js - Post-creation validation

Best Practices

  1. Comprehensive Checks: Validate all aspects
  2. Clear Scoring: Use consistent scoring criteria
  3. Actionable Feedback: Provide specific recommendations
  4. Gap Identification: List missing items clearly
  5. Progress Tracking: Show completion percentage

Constraints

  • Read-only validation (no modifications)
  • Check file existence before content validation
  • Handle missing files gracefully
  • Report all issues found
  • Calculate accurate scores

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results