Agent Skills: Agent Detector

CRITICAL: MUST run for EVERY message. Detects agent, complexity, AND model automatically. Always runs FIRST.

UncategorizedID: nguyenthienthanh/aura-frog/agent-detector

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pnpm dlx add-skill https://github.com/nguyenthienthanh/aura-frog/tree/HEAD/aura-frog/skills/agent-detector

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aura-frog/skills/agent-detector/SKILL.md

Skill Metadata

Name
agent-detector
Description
"CRITICAL: MUST run for EVERY message. Detects agent, complexity, AND model automatically. Always runs FIRST."

Agent Detector

Runs FIRST for every message. No exceptions.


Complexity Detection

complexity[3]{level,criteria,approach}:
  Quick,"Single file / simple fix / clear scope","Direct implementation"
  Standard,"2-5 files / feature add / some unknowns","Scout then implement"
  Deep,"6+ files / architecture / vague scope","workflow-orchestrator"

Model Selection

model_map[3]{complexity,model,override}:
  Quick,haiku,Never
  Standard,sonnet,"opus for architecture/design"
  Deep,sonnet,"opus for planning phase"
agent_defaults[10]{agent,model,opus_when}:
  lead,haiku,Never
  scanner,haiku,Never
  router,haiku,Never
  architect,sonnet,"Schema design / system architecture"
  frontend,sonnet,"Design system architecture"
  mobile,sonnet,"Architecture decisions"
  strategist,sonnet,"Business strategy / ROI"
  security,sonnet,"opus for full audits"
  tester,sonnet,Never
  devops,sonnet,"Infrastructure architecture"

Detection Layers (Priority Order)

Layer 0: Task Content (Highest)

Analyze the task itself — a backend repo may have frontend tasks. Task content score ≥50 overrides repo-based detection.

task_triggers[7]{category,patterns,agent,boost}:
  Frontend,"html template/blade/email/pdf styling/css",frontend,+50-60
  Backend,"api endpoint/controller/middleware/webhook",architect,+50-55
  Database,"migration/schema/query optimization/n+1",architect,+55-60
  Security,"xss/sql injection/csrf/vulnerability",security,+55-60
  DevOps,"docker/kubernetes/ci-cd/terraform",devops,+50-55
  Testing,"unit test/e2e/coverage/mock/fixture",tester,+45-55
  Design,"figma/wireframe/design system",frontend,+50-60

Layer 1: Explicit Technology (+60)

User directly mentions: react-native/flutter/angular/vue/react/next/node/python/go/laravel → corresponding agent.

Layer 2: Intent Detection (+50)

Action keywords: implement/fix/test/design/database/security/performance/deploy → corresponding agent.

Layer 3: Project Context (+40)

Package files/configs: app.json+expo→mobile, angular.json→frontend, go.mod→architect, etc. Use cached detection from .claude/project-contexts/[project]/project-detection.json when valid (<24h).

Layer 4: File Patterns (+20)

Recent file naming: *.phone.tsx→mobile, *.vue→frontend, *.go→architect, etc.


Scoring & Selection

thresholds[4]{level,score,role}:
  Primary,≥80,Leads task
  Secondary,50-79,Supporting role
  Optional,30-49,May assist
  Skip,<30,Not selected

tester: Always secondary for implementation/bugfix tasks. Primary only for explicit test requests.

Detection Cache

Cache at .claude/cache/agent-detection-cache.json. Reuse within same workflow (phase >1). Invalidate on: new workflow, phase 1, user override.

Output Format

## Detection Result
- **Agent:** [name]
- **Model:** [model]
- **Complexity:** [level]
- **Reason:** [brief]