/btw
By-The-Way: capture improvement ideas the moment they surface, without derailing the task in progress. Triggers: /bkit:btw, /bkit:btw list, /bkit:btw analyze, /bkit:btw promote, /bkit:btw stats, btw, suggestion, improve, idea, feedback
$ npx -y skills add popup-studio-ai/bkit-claude-code --skill btw --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/btw
Context preview
The summary Claude sees to decide when to auto-load this skill.
By-The-Way: capture improvement ideas the moment they surface, without derailing the task in progress. Triggers: /bkit:btw, /bkit:btw list, /bkit:btw analyze, /bkit:btw promote, /bkit:btw stats, btw, suggestion, improve, idea, feedback
SKILL.md
btw.SKILL.mdname: 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: capture improvement ideas the moment they surface, without
derailing the task in progress.
Triggers: /bkit:btw, /bkit:btw list, /bkit:btw analyze, /bkit:btw promote,
/bkit:btw stats, btw, 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:
{
"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}"
}
}4. 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
5. Update `stats.total` count 6. 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...
3. 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
3. For each skill candidate:
- Estimate skill classification: workflow vs capability
- Suggest skill name and description
- Reference source suggestion IDs
4. 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
2. [EXISTING SKILL ENHANCEMENT] code-review
Based on: btw-003
Suggestion: Add DataProxy-specific review rules5. 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)
4. Trigger skill-create workflow with context from the suggestion:
- Pass suggestion text as skill description seed
- Pass context (file, feature) as project context
5. 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
| Pattern | Category | |---------|----------| | skill, 스킬, automate, 자동화, command, 명령 | skill-request | | bug, 버그, error, 오류, fix, 수정 | bug-pattern | | improve, 개선, better, refactor, 리팩토링, optimize | improvement | | doc, 문서, explain, 설명, readme, guide | documentation | | (default) | general |
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 dec
Read more
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: capture improvement ideas the moment they surface, without
derailing the task in progress.
Triggers: /bkit:btw, /bkit:btw list, /bkit:btw analyze, /bkit:btw promote,
/bkit:btw stats, btw, 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:
{
"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}"
}
}4. 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
5. Update `stats.total` count 6. 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...
3. 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
3. For each skill candidate:
- Estimate skill classification: workflow vs capability
- Suggest skill name and description
- Reference source suggestion IDs
4. 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
2. [EXISTING SKILL ENHANCEMENT] code-review
Based on: btw-003
Suggestion: Add DataProxy-specific review rules5. 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)
4. Trigger skill-create workflow with context from the suggestion:
- Pass suggestion text as skill description seed
- Pass context (file, feature) as project context
5. 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
| Pattern | Category | |---------|----------| | skill, 스킬, automate, 자동화, command, 명령 | skill-request | | bug, 버그, error, 오류, fix, 수정 | bug-pattern | | improve, 개선, better, refactor, 리팩토링, optimize | improvement | | doc, 문서, explain, 설명, readme, guide | documentation | | (default) | general |
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 dec
A Claude Code plugin that verifies AI-generated code against its own design specs. Three commands. Anyone — even someone vibe-coding for the first time — can ship robust, production-quality software.
Repo: popup-studio-ai/bkit-claude-code
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bkend.ai project tutorials (todo to SaaS) and common error troubleshooting. Triggers: bkend tutorial, bkend cookbook, bkend troubleshooting
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bkend.ai database — CRUD, column types, filtering, sorting, relations, indexing. Triggers: bkend table, bkend CRUD, bkend column, bkend relation, bkend data
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Open skill

