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mk:scale-routing

Domain-aware complexity routing. Scans task description for domain keywords, matches against domain-complexity.csv, returns complexity level, workflow intensity, and execution tier. Extends Phase 0 orchestration.

The English summary is being prepared. Showing the original description.

See how to install

Files included (8)

  • SKILL.md6.4 KB
  • data/domain-complexity.csv1.7 KB
  • eval/classify.py3.0 KB
  • eval/routing-cases.jsonl4.2 KB
  • eval/run-routing-eval.py2.4 KB
  • references/multi-layer-detection.md4.6 KB
  • references/product-area-config.md2.8 KB
  • references/task-type-classification.md3.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Scale-Adaptive Routing

Automatically classifies task complexity based on domain keywords.

Internal sub-skill of Phase 0 (Orient). Not user-invocable directly — invoked by the orchestrator during task classification.

Purpose

Replace subjective orchestrator judgment with deterministic, auditable domain-based routing. A fintech auth change should auto-classify as COMPLEX without human intervention.

How It Works

  1. Input: User task description (string)
  2. Layer 0: Match keywords from data/domain-complexity.csv
  3. Layer 1: Analyze task content — classify type and extract mentioned files/modules (load references/multi-layer-detection.md)
  4. Layer 2: Check project context — files present, directory structure, recent git changes
  5. Layer 3: Score confidence per domain (HIGH ≥70, MEDIUM 40–69, LOW <40)
  6. Classify task type — map signals to one of: bug_fix, feature, refactor, security, devops, docs, review, intake (load references/task-type-classification.md)
  7. Optional: Check .claude/product-areas.yaml if exists — merge area keywords and paths (see references/product-area-config.md)
  8. Output: {domain, level, workflow, execution_tier, task_type, suggested_skill, confidence, product_area?}
  9. Fallback: No match → return unknown, defer to manual classification

CSV Schema

ColumnValuesPurpose
domainsnake_case identifierDomain name
signalscomma-separated keywordsMatch against task description
levellow, medium, highComplexity classification
workflowone-shot, standard, enhanced, advancedWorkflow intensity
web_searchescomma-separated topicsSuggested research queries

Routing Logic

LevelExecution TierGate 1Workflow
lowminimalBypass eligible (one-shot)Minimal
mediumstandardRequiredStandard phases
highhigh-assuranceRequiredFull phases + security

Provider Boundary

This skill emits only task complexity, risk, workflow intensity, and scaffolding density. It does not select a model or name a provider. The active harness resolves any provider-specific model policy after this routing result is produced.

Usage

Called automatically by orchestrator at Phase 0. Not invoked directly by users.

Orchestrator Phase 0:
  1. Run mk:scale-routing on task description
  2. If match found → use returned level/workflow/execution_tier
  3. If no match → fall back to manual classification

Extending

Users can add custom domains by editing data/domain-complexity.csv. Add a new row with domain keywords relevant to your project.

Gotchas

  • Runtime dependency on mk:autobuild/scripts/density-select.sh — if the autobuild workflow skill is removed or renamed, density selection breaks. The script is shared intentionally (single source of truth for density policy); treat it as load-bearing infrastructure, not a private harness internal.
  • Multiple domains can match a single task (e.g., "fintech dashboard" matches both fintech and internal_tools) — use the HIGHEST complexity match
  • CSV keyword matching is case-insensitive but signal order matters — first match wins for domain name
  • Adding too many low-signal keywords (e.g., "data", "app") creates false positives — keep signals specific to the domain
  • One-shot workflow bypass requires BOTH CSV match AND orchestrator zero-blast-radius confirmation — CSV alone is not sufficient

Output Schema (v2.0)

Base fields (v1.0):

FieldValuesDescription
domainsnake_case stringMatched domain or unknown
levellow, medium, highComplexity classification
workflowone-shot, standard, enhanced, advancedWorkflow intensity
execution_tierminimal, standard, high-assuranceProvider-neutral execution intensity

New fields (v2.0):

FieldValuesDescription
task_typebug_fix, feature, refactor, security, devops, docs, review, intakeClassified task type
suggested_skillmk:fix, mk:cook, mk:cso, mk:review, mk:intakeRecommended skill for this task
confidenceHIGH, MEDIUM, LOWRouting confidence from Layer 3 scoring
product_areastringArea name from .claude/product-areas.yaml (omitted if no YAML)

New fields (v2.1 — Phase 5 of harness plan, 260408):

FieldValuesDescription
autobuild_densityMINIMAL, FULL, LEANRecommended scaffolding density for mk:autobuild runs (see Adaptive Density Policy below)

Harness Density Selection (v2.1)

Used by mk:autobuild to choose how much scaffolding to apply per run. The decision rules:

levelneutral baselineautobuild_density
lownoneMINIMAL
mediumnoneFULL
highnoneFULL

Override: MEOWKIT_AUTOBUILD_MODE=MINIMAL\|FULL\|LEAN env var, when set, overrides the auto-detected value. The override is logged in the autobuild run report for audit.

For scriptable density selection, callers may invoke .claude/skills/autobuild/scripts/density-select.sh which echoes only the density token to stdout.

Data File

  • data/domain-complexity.csv — Domain → complexity → workflow mapping

Reference Files

  • references/multi-layer-detection.md — 4-layer detection logic and confidence scoring
  • references/task-type-classification.md — 8 task types, signals, and suggested skills
  • references/product-area-config.md — Optional .claude/product-areas.yaml schema and loading rules

Cross-Skill Dependencies

  • .claude/skills/autobuild/scripts/density-select.sh — Echoes autobuild_density token to stdout; used by autobuild when scriptable density selection is needed

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