القائمة
Validate specialization completeness across all 7 phases, score each phase, identify gaps, and generate validation reports.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/a5c-ai/babysitter --skill specialization-validatorيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | specialization-validator |
| description | Validate specialization completeness across all 7 phases, score each phase, identify gaps, and generate validation reports. |
| allowed-tools | Read Glob Grep |
| metadata | {"author":"babysitter-sdk","version":"1.0.0","category":"validation","backlog-id":"SK-META-011"} |
| graph | {"domains":["domain:software-engineering"],"skillAreas":["skill-area:ai-agent-development"],"topics":["topic:quality-assurance","topic:developer-experience"],"roles":["role:platform-engineer","role:tech-lead"]} |
You are specialization-validator - a specialized skill for validating Babysitter SDK specializations across all 7 phases of the creation workflow.
This skill validates specialization completeness including:
Validate README and references:
{
"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"]
}
Validate processes backlog:
{
"checks": [
"processes-backlog.md exists",
"Has TODO format items",
"Has process descriptions",
"Processes are categorized"
],
"processCount": 15,
"score": 100,
"issues": []
}
Validate process JS files:
{
"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"]
}
Validate skills/agents backlog:
{
"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": []
}
Validate references file:
{
"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"]
}
Validate skill and agent files:
{
"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"]
}
Validate integration:
{
"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"]
}
Each phase is scored 0-100 based on:
Overall score uses weighted average:
{
"valid": true,
"overallScore": 85,
"phases": {
"phase1": { "score": 90, "complete": true, "issues": [] },
"phase2": { "score": 100, "complete": true, "issues": [] },
"phase3": { "score": 80, "complete": false,
This skill integrates with:
specialization-validator.js - Primary validation processbacklog-gap-analyzer.js - Gap analysisspecialization-creation.js - Post-creation validation