luanmorenommaciel/agentspec/agent-router

Name: agent-router
Author: luanmorenommaciel

Claude Code and agent skill by luanmorenommaciel/agentspec

Trust tier 2

community

LLM review pending

Source check pending

Checking that the SKILL.md file is still in the repository.

Intelligent agent routing -- automatically matches tasks to the best specialist agent based on file patterns, intent keywords, and domain context. Loaded every session to give Claude explicit routing rules for all 58 AgentSpec agents.

Install

npx vskill@latest install luanmorenommaciel/agentspec/agent-router

SKILL.md

Agent Router

Explicit routing rules for matching tasks to the correct specialist agent. Generated from each agent's frontmatter, so any change to an agent's description, kb_domains, or escalation_rules flows here automatically.

Agent count: 58 | Categories: 8 | Content hash: 11bcc0754dfd

A. Agents by Category

Architecture & Design

System-level design, schemas, pipelines, lakehouse

Agent	Tier	Model	KB Domains	Escalates To
`data-platform-engineer`	T2	sonnet	`cloud-platforms`, `lakehouse`, `data-modeling`	`lakehouse-architect`, `pipeline-architect`, `schema-designer`
`genai-architect`	T1	opus	`genai`, `prompt-engineering`, `ai-data-engineering`	—
`kb-architect`	T2	sonnet	—	`user`
`lakehouse-architect`	T2	sonnet	`lakehouse`, `spark`, `data-modeling`	`data-platform-engineer`, `spark-engineer`, `schema-designer`
`medallion-architect`	T1	sonnet	`medallion`, `data-modeling`, `lakehouse`, `data-quality`	—
`pipeline-architect`	T2	sonnet	`airflow`, `data-quality`, `dbt`	`dbt-specialist`, `spark-engineer`, `streaming-engineer`
`schema-designer`	T2	sonnet	`data-modeling`, `sql-patterns`, `data-quality`	`dbt-specialist`, `lakehouse-architect`, `data-quality-analyst`, `sql-optimizer`
`the-planner`	T2	opus	—	`user`

Cloud & Infrastructure

AWS, GCP, CI/CD, deployment

Agent	Tier	Model	KB Domains	Escalates To
`ai-data-engineer-cloud`	T3	sonnet	`gcp`, `aws`, `terraform`, `data-quality`, `cloud-platforms`	`ai-data-engineer-gcp`, `aws-data-architect`, `user`
`ai-data-engineer-gcp`	T2	sonnet	`gcp`, `terraform`, `cloud-platforms`, `data-quality`	`aws-data-architect`, `user`
`ai-prompt-specialist-gcp`	T3	sonnet	`prompt-engineering`, `genai`, `pydantic`, `gcp`	`gcp-data-architect`, `user`
`aws-data-architect`	T1	sonnet	`aws`, `terraform`, `data-quality`	—
`aws-deployer`	T3	sonnet	`aws`, `terraform`	`aws-lambda-architect`, `ci-cd-specialist`, `user`
`aws-lambda-architect`	T3	sonnet	`aws`, `terraform`	`aws-deployer`, `lambda-builder`, `user`
`ci-cd-specialist`	T3	sonnet	`terraform`, `aws`, `lakeflow`	`lambda-builder`, `aws-lambda-architect`, `user`
`gcp-data-architect`	T1	sonnet	`gcp`, `terraform`, `cloud-platforms`, `data-quality`	—
`lambda-builder`	T3	sonnet	`aws`, `python`, `testing`	`aws-lambda-architect`, `aws-deployer`, `user`
`supabase-specialist`	T3	opus	`supabase`, `ai-data-engineering`, `data-modeling`	`gcp-data-architect`, `aws-data-architect`, `user`

Data Engineering

dbt, Spark, SQL, Airflow, streaming, data quality

Agent	Tier	Model	KB Domains	Escalates To
`ai-data-engineer`	T2	sonnet	`ai-data-engineering`, `data-quality`, `streaming`	`pipeline-architect`, `spark-engineer`, `streaming-engineer`, `data-quality-analyst`
`airflow-specialist`	T3	sonnet	`airflow`, `sql-patterns`, `data-quality`	`spark-engineer`, `dbt-specialist`, `streaming-engineer`
`dbt-specialist`	T2	sonnet	`dbt`, `data-quality`, `sql-patterns`	`schema-designer`, `spark-engineer`, `pipeline-architect`, `data-quality-analyst`
`lakeflow-architect`	T3	sonnet	`lakeflow`, `lakehouse`, `spark`, `medallion`	`spark-engineer`, `dbt-specialist`, `airflow-specialist`
`lakeflow-expert`	T3	sonnet	`lakeflow`, `lakehouse`, `data-quality`, `medallion`	`spark-engineer`, `airflow-specialist`, `schema-designer`
`lakeflow-pipeline-builder`	T3	sonnet	`lakeflow`, `lakehouse`, `data-quality`, `medallion`	`spark-engineer`, `airflow-specialist`, `schema-designer`
`lakeflow-specialist`	T1	sonnet	`lakeflow`, `lakehouse`, `spark`, `data-quality`	—
`qdrant-specialist`	T3	opus	`ai-data-engineering`, `genai`	`ai-data-engineer`, `spark-engineer`, `ai-data-engineer`
`spark-engineer`	T2	sonnet	`spark`, `sql-patterns`, `streaming`	`pipeline-architect`, `dbt-specialist`, `lakehouse-architect`
`spark-performance-analyzer`	T1	sonnet	`spark`, `cloud-platforms`, `lakehouse`	—
`spark-specialist`	T2	opus	`spark`, `sql-patterns`, `cloud-platforms`	`pipeline-architect`, `dbt-specialist`, `lakehouse-architect`
`spark-streaming-architect`	T3	sonnet	`spark`, `streaming`, `lakehouse`	`spark-engineer`, `streaming-engineer`, `airflow-specialist`
`spark-troubleshooter`	T1	sonnet	`spark`, `sql-patterns`	—
`sql-optimizer`	T2	sonnet	`sql-patterns`, `data-modeling`, `dbt`	`spark-engineer`, `schema-designer`, `dbt-specialist`
`streaming-engineer`	T2	sonnet	`streaming`, `spark`, `sql-patterns`	`pipeline-architect`, `dbt-specialist`, `lakehouse-architect`, `ai-data-engineer`

Developer Tools

Codebase exploration, meeting analysis, shell, prompts

Agent	Tier	Model	KB Domains	Escalates To
`codebase-explorer`	T2	sonnet	—	`python-developer`, `the-planner`
`meeting-analyst`	T2	sonnet	—	`the-planner`, `pipeline-architect`
`prompt-crafter`	T1	sonnet	`python`	—
`shell-script-specialist`	T2	sonnet	—	`python-developer`, `ci-cd-specialist`

Microsoft Fabric

Fabric lakehouse, pipelines, AI, security

Agent	Tier	Model	KB Domains	Escalates To
`fabric-ai-specialist`	T3	sonnet	`microsoft-fabric`	`user`, `fabric-security-specialist`
`fabric-architect`	T3	opus	`microsoft-fabric`	`user`, `fabric-security-specialist`
`fabric-cicd-specialist`	T3	sonnet	`microsoft-fabric`	`user`, `fabric-security-specialist`
`fabric-logging-specialist`	T3	sonnet	`microsoft-fabric`	`user`, `fabric-security-specialist`
`fabric-pipeline-developer`	T3	sonnet	`microsoft-fabric`	`user`, `fabric-architect`
`fabric-security-specialist`	T3	opus	`microsoft-fabric`	`user`, `user`

Python & Code Quality

Python dev, review, cleanup, documentation, LLM prompts

Agent	Tier	Model	KB Domains	Escalates To
`ai-prompt-specialist`	T1	sonnet	`prompt-engineering`, `pydantic`, `genai`	—
`code-cleaner`	T2	sonnet	`python`	—
`code-documenter`	T2	sonnet	`python`	—
`code-reviewer`	T2	sonnet	`data-quality`, `sql-patterns`, `dbt`	—
`llm-specialist`	T3	opus	`prompt-engineering`, `pydantic`, `genai`	—
`python-developer`	T1	sonnet	`python`, `pydantic`, `testing`	—

Testing & Contracts

pytest, data quality, ODCS contracts

Agent	Tier	Model	KB Domains	Escalates To
`data-contracts-engineer`	T2	sonnet	`data-quality`, `data-modeling`	`data-quality-analyst`, `schema-designer`, `dbt-specialist`
`data-quality-analyst`	T2	sonnet	`data-quality`, `dbt`, `data-modeling`	`dbt-specialist`, `schema-designer`, `data-contracts-engineer`
`test-generator`	T2	sonnet	`data-quality`, `dbt`, `testing`	`schema-designer`, `dbt-specialist`, `data-quality-analyst`

SDD Workflow

Brainstorm, Define, Design, Build, Ship, Iterate

Agent	Tier	Model	KB Domains	Escalates To
`brainstorm-agent`	T2	sonnet	—	`define-agent`
`build-agent`	T2	opus	—	`design-agent`
`define-agent`	T2	sonnet	—	`design-agent`
`design-agent`	T2	opus	—	`build-agent`
`iterate-agent`	T2	sonnet	—	`define-agent`, `design-agent`, `build-agent`
`ship-agent`	T2	sonnet	—	`build-agent`

B. KB Domain → Agents

Which agents know which domain. Use this when the user names a technology.

KB Domain	Agents
`ai-data-engineering`	`ai-data-engineer`, `genai-architect`, `qdrant-specialist`, `supabase-specialist`
`airflow`	`airflow-specialist`, `pipeline-architect`
`aws`	`ai-data-engineer-cloud`, `aws-data-architect`, `aws-deployer`, `aws-lambda-architect`, `ci-cd-specialist`, `lambda-builder`
`cloud-platforms`	`ai-data-engineer-cloud`, `ai-data-engineer-gcp`, `data-platform-engineer`, `gcp-data-architect`, `spark-performance-analyzer`, `spark-specialist`
`data-modeling`	`data-contracts-engineer`, `data-platform-engineer`, `data-quality-analyst`, `lakehouse-architect`, `medallion-architect`, `schema-designer`, `sql-optimizer`, `supabase-specialist`
`data-quality`	`ai-data-engineer`, `ai-data-engineer-cloud`, `ai-data-engineer-gcp`, `airflow-specialist`, `aws-data-architect`, `code-reviewer`, `data-contracts-engineer`, `data-quality-analyst`, `dbt-specialist`, `gcp-data-architect`, `lakeflow-expert`, `lakeflow-pipeline-builder`, `lakeflow-specialist`, `medallion-architect`, `pipeline-architect`, `schema-designer`, `test-generator`
`dbt`	`code-reviewer`, `data-quality-analyst`, `dbt-specialist`, `pipeline-architect`, `sql-optimizer`, `test-generator`
`gcp`	`ai-data-engineer-cloud`, `ai-data-engineer-gcp`, `ai-prompt-specialist-gcp`, `gcp-data-architect`
`genai`	`ai-prompt-specialist`, `ai-prompt-specialist-gcp`, `genai-architect`, `llm-specialist`, `qdrant-specialist`
`lakeflow`	`ci-cd-specialist`, `lakeflow-architect`, `lakeflow-expert`, `lakeflow-pipeline-builder`, `lakeflow-specialist`
`lakehouse`	`data-platform-engineer`, `lakeflow-architect`, `lakeflow-expert`, `lakeflow-pipeline-builder`, `lakeflow-specialist`, `lakehouse-architect`, `medallion-architect`, `spark-performance-analyzer`, `spark-streaming-architect`
`medallion`	`lakeflow-architect`, `lakeflow-expert`, `lakeflow-pipeline-builder`, `medallion-architect`
`microsoft-fabric`	`fabric-ai-specialist`, `fabric-architect`, `fabric-cicd-specialist`, `fabric-logging-specialist`, `fabric-pipeline-developer`, `fabric-security-specialist`
`prompt-engineering`	`ai-prompt-specialist`, `ai-prompt-specialist-gcp`, `genai-architect`, `llm-specialist`
`pydantic`	`ai-prompt-specialist`, `ai-prompt-specialist-gcp`, `llm-specialist`, `python-developer`
`python`	`code-cleaner`, `code-documenter`, `lambda-builder`, `prompt-crafter`, `python-developer`
`spark`	`lakeflow-architect`, `lakeflow-specialist`, `lakehouse-architect`, `spark-engineer`, `spark-performance-analyzer`, `spark-specialist`, `spark-streaming-architect`, `spark-troubleshooter`, `streaming-engineer`
`sql-patterns`	`airflow-specialist`, `code-reviewer`, `dbt-specialist`, `schema-designer`, `spark-engineer`, `spark-specialist`, `spark-troubleshooter`, `sql-optimizer`, `streaming-engineer`
`streaming`	`ai-data-engineer`, `spark-engineer`, `spark-streaming-architect`, `streaming-engineer`
`supabase`	`supabase-specialist`
`terraform`	`ai-data-engineer-cloud`, `ai-data-engineer-gcp`, `aws-data-architect`, `aws-deployer`, `aws-lambda-architect`, `ci-cd-specialist`, `gcp-data-architect`
`testing`	`lambda-builder`, `python-developer`, `test-generator`

C. Agent One-Liners

Single-sentence purpose per agent, derived from frontmatter description.

This is the start of the file. Read the full SKILL.md on GitHub.

Security

Security scanPassed, 100 of 100Pattern checks on the skill's files.
Model reviewNot runA model review is scheduled for the next rescan.

See the full security report

Quality evaluation

Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

SKILL.md in the repositoryCheckingplugin/skills/agent-router/SKILL.md

Popularity

Repository stars: 181
Repository forks: 89
7-day trend score: 26

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 May 2026, 5 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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Claude Desktop
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bolt.new
v0
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LibreChat
Warp AI
Pieces
Fig AI

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