version: "1.0.1" name: btw classification: workflow classification-reason: "Manages /btw command lifecycle: record, list, analyze, promote, stats. User-driven workflow with CRUD on btw-suggestions.json" deprecation-risk: none effort: medium description: | By-The-Way: 작업 중 개선 제안을 즉시 수집하고 관리하는 스킬. Triggers: /bkit:btw, /bkit:btw list, /bkit:btw analyze, /bkit:btw promote, /bkit:btw stats Keywords: btw, 개선, 제안, suggestion, improve, idea, feedback argument-hint: "/bkit:btw {suggestion} | /bkit:btw list | /bkit:btw analyze | /bkit:btw promote {id} | /bkit:btw stats" user-invocable: true allowed-tools:

• Read
• Write
• Edit
• Glob
• Grep
• Bash

/btw - By-The-Way Suggestion Collector

작업 중 "이거 스킬로 만들면 좋겠다", "이 패턴 자동화하면 좋겠다" 등의 개선 제안을 즉시 기록하고 관리하는 도구.

Commands

/btw {suggestion} - Record a suggestion

1. Read .bkit/btw-suggestions.json (create if not exists)
2. Generate next ID: btw-NNN (zero-padded, sequential)
3. Create suggestion entry:

``json { "id": "btw-001", "timestamp": "ISO-8601", "suggestion": "{user input}", "context": { "file": "{current working file if identifiable}", "pdcaPhase": "{current PDCA phase from .bkit-memory.json or null}", "feature": "{current feature or null}" }, "category": "auto-detect", "status": "pending", "promotedTo": null, "priority": null, "teamContext": { "isTeamSession": false, "phase": "{PDCA phase or null}", "role": "{teammate role that discovered this, or 'user'}", "pattern": "{orchestration pattern or null}" } } ``

1. Auto-detect category from suggestion text:

• skill-request: mentions "skill", "스킬", "자동화", "automate"
• bug-pattern: mentions "bug", "버그", "오류", "error", "fix"
• improvement: mentions "개선", "improve", "better", "refactor"
• documentation: mentions "문서", "doc", "설명", "explain"
• general: default

1. Update stats.total count
2. Respond: "Recorded btw-{NNN}: {truncated suggestion}. Use /btw list to view all."

/btw list - List all suggestions

1. Read .bkit/btw-suggestions.json
2. Display table:

`` ID | Status | Category | Suggestion (truncated) ---------|----------|----------------|---------------------- btw-001 | pending | skill-request | @Flow 모델에서 옵션 목록을 자동... btw-002 | promoted | improvement | DataProxy 패턴에 검증 로직을... ``

1. Show summary: Total: N | Pending: N | Promoted: N | Dismissed: N

/btw analyze - Analyze suggestions for skill candidates

1. Read all pending suggestions from .bkit/btw-suggestions.json
2. Group by category and find patterns:

• Cluster similar suggestions (keyword overlap)
• Count frequency of similar topics
• Identify suggestions that map to existing bkit skills vs. new skill needs

1. For each skill candidate:

• Estimate skill classification: workflow vs capability
• Suggest skill name and description
• Reference source suggestion IDs

1. Output analysis:

``` Skill Candidates from /btw Analysis =====================================

1. [NEW SKILL] hunikflow-validation (capability)

Based on: btw-001, btw-005, btw-008 Frequency: 3 mentions Description: Validation pattern guide for @Flow entities

1. [EXISTING SKILL ENHANCEMENT] code-review

Based on: btw-003 Suggestion: Add DataProxy-specific review rules ```

1. Save analysis timestamp to stats.lastAnalyzed

/btw promote {id} - Promote suggestion to skill creation

1. Find suggestion by ID in .bkit/btw-suggestions.json
2. Validate status is "pending" (cannot promote already promoted/dismissed)
3. Update suggestion:

• status: "promoted"
• promotedTo: skill name (derived from suggestion)

1. Trigger skill-create workflow with context from the suggestion:

• Pass suggestion text as skill description seed
• Pass context (file, feature) as project context

1. Respond: "Promoted btw-{id} -> skill-create pipeline. Run /skill-create to continue."

/btw stats - Show statistics

1. Read .bkit/btw-suggestions.json
2. Calculate and display:

`` /btw Statistics =============== Total suggestions: 12 By status: pending=8, promoted=3, dismissed=1 By category: skill-request=5, improvement=4, bug-pattern=2, general=1 Promotion rate: 25.0% Last analyzed: 2026-03-13T10:00:00Z Top keywords: @Flow(3), DataProxy(2), validation(2) ``

Data File: .bkit/btw-suggestions.json

Initialize with this structure if file does not exist:

{
  "version": "1.0",
  "suggestions": [],
  "stats": {
    "total": 0,
    "promoted": 0,
    "dismissed": 0,
    "lastAnalyzed": null
  }
}

Category Auto-Detection Rules

Integration Points

• PDCA Context: Reads .bkit-memory.json for current phase/feature
• skill-create: /btw promote triggers skill-create workflow
• skill-needs-extractor: /btw analyze results feed into gap analysis
• CTO Team: Phase transition triggers btw summary (see below)

CTO Team Integration

When /btw is used during a CTO Team session (/pdca team):

Auto-Detection

• Check if team session is active via .bkit/runtime/agent-state.json
• If active: set teamContext.isTeamSession = true and populate phase/role/pattern
• If not active: set teamContext.isTeamSession = false (default behavior)

Phase Transition Hook

CTO Lead automatically reads btw-suggestions.json at every phase transition:

• 0 pending: Silent skip (no output, no turns spent)
• 1+ pending: Brief summary (top 3, category counts) in 1-2 turns
• CTO does NOT auto-promote — user decides via /btw promote {id}

Session End

cto-stop.js hook outputs btw stats at session end:

• Total suggestions collected during session
• Category breakdown
• Promotion rate

teamContext Field

Added to each suggestion entry when recorded during a team session:

"teamContext": {
  "isTeamSession": true,
  "phase": "do",
  "role": "user",
  "pattern": "swarm"
}

This enables /btw analyze to group suggestions by PDCA phase and identify phase-specific patterns.