ได้ครับ ควรเพิ่ม Milestones + Labels เป็น metadata กลางของ Crystal และผูกเข้ากับ skills / teams / issues / tasks / experiments / releases / audit เพื่อให้ระบบจัดการงานได้เป็นระบบเดียวกัน ไม่ใช่สร้าง label 47 อันแล้วไม่มีใครจำได้ว่าอันไหนทำอะไร
- เพิ่มโครงสร้างกลาง
text
crystal-{brand}/
├── .github/
│ ├── ISSUE_TEMPLATE/
│ ├── workflows/
│ ├── labels.yml
│ └── milestones.yml
│
├── governance/
│ ├── labels/
│ │ ├── taxonomy.yml
│ │ ├── aliases.yml
│ │ └── rules.yml
│ │
│ └── milestones/
│ ├── roadmap.yml
│ ├── release.yml
│ └── rules.yml
│
└── docs/
└── project-management/
├── labels.md
└── milestones.md
───
- Label Taxonomy
แนะนำให้ label มี namespace ชัดเจน
text
type:
priority:
status:
team:
area:
skill:
security:
cost:
release:
experiment:
ตัวอย่าง:
text
type:feature
type:bug
type:task
type:research
type:documentation
type:experiment
priority:p0
priority:p1
priority:p2
priority:p3
status:planned
status:ready
status:in-progress
status:blocked
status:review
status:done
team:develop
team:frontend
team:backend
team:documents
team:research
team:news
team:security
team:platform
team:audit
area:api
area:frontend
area:memory
area:knowledge
area:skills
area:billing
area:observability
area:cli
area:infrastructure
───
- Skill Labels
เพราะ Crystal มี skill ecosystem ใหญ่ขึ้นเรื่อย ๆ ควรมี:
text
skill:frontend
skill:backend
skill:debug
skill:research
skill:security
skill:documentation
skill:testing
skill:ai
skill:devops
และสำหรับ skill lifecycle:
text
skill:new
skill:experimental
skill:validated
skill:production
skill:deprecated
skill:needs-update
skill:conflict
───
- Cost Labels
เชื่อมกับ architecture ที่เราวางไว้:
text
cost:free
cost:low
cost:medium
cost:high
cost:critical
cache:enabled
cache:miss
cache:hit
model:cheap
model:standard
model:premium
ใช้กับ benchmark และ billing ได้ด้วย
text
cost:optimization
cost:anomaly
budget:warning
budget:exceeded
───
- Security Labels
text
security:low
security:medium
security:high
security:critical
security:secret
security:privacy
security:auth
security:permission
security:data-leak
security:dependency
security:incident
โดยเฉพาะ:
text
security:secret
ควร trigger security workflow ทันที
───
- Milestone Hierarchy
Milestone ควรแบ่งเป็นระดับ:
text
M0 Foundation
M1 Core Platform
M2 Intelligence
M3 Production
M4 Scale
M5 Autonomous
ตัวอย่าง roadmap:
text
M0 Foundation
├── Repository
├── CI/CD
├── Docker
├── PostgreSQL
├── Redis
└── CLI
M1 Core Platform
├── Auth
├── Tenant
├── API
├── Memory
├── Knowledge
└── Artifacts
M2 Intelligence
├── Skills
├── Skill Router
├── AI Router
├── Research
├── Experiments
└── Generative UI
M3 Production
├── Billing
├── Cost Control
├── Audit
├── Security
├── Observability
└── Self-Healing
M4 Scale
├── Multi-region
├── CDN
├── Advanced Cache
├── Queue
└── Horizontal Scaling
M5 Autonomous
├── Skill Discovery
├── Skill Evolution
├── Automated Evaluation
├── Self-Optimization
└── Controlled Self-Healing
───
- Milestone Naming
เพื่อให้จัดการง่าย ผมแนะนำ:
text
M0-foundation
M1-core
M2-intelligence
M3-production
M4-scale
M5-autonomous
Release ผูกกับ version:
text
v0.1.0 → M0
v0.2.0 → M1
v0.3.0 → M2
v1.0.0 → M3
v2.0.0 → M4
v3.0.0 → M5
ไม่จำเป็นต้องยึด version นี้ตายตัว แต่ pattern ควร stable
───
- YAML Registry
yaml
governance/milestones/roadmap.yml
milestones:
-
id: M0
slug: foundation
title: "Foundation"
status: active
-
id: M1
slug: core
title: "Core Platform"
status: planned
-
id: M2
slug: intelligence
title: "AI Intelligence"
status: planned
-
id: M3
slug: production
title: "Production Ready"
status: planned
-
id: M4
slug: scale
title: "Scale"
status: planned
-
id: M5
slug: autonomous
title: "Controlled Autonomy"
status: planned
───
- Label Registry
yaml
governance/labels/taxonomy.yml
labels:
type:
- feature
- bug
- task
- research
- documentation
- experiment
priority:
- p0
- p1
- p2
- p3
status:
- planned
- ready
- in-progress
- blocked
- review
- done
team:
- develop
- frontend
- backend
- documents
- research
- news
- security
- platform
- audit
area:
- api
- frontend
- memory
- knowledge
- skills
- billing
- observability
- cli
- infrastructure
───
- Label Rules
เพิ่ม validation เพื่อไม่ให้ label chaos:
yaml
governance/labels/rules.yml
rules:
required:
- type
- priority
- team
- area
mutually_exclusive:
- status
- priority
restricted:
"security:critical":
requires:
- team:security
"cost:critical":
requires:
- team:platform
"status:blocked":
requires:
- comment:reason
───
- Issue Metadata
ทุก Issue/Task ควรมี:
yaml
task:
id: TASK-00124
milestone: M2
labels:
- type:feature
- priority:p1
- team:frontend
- area:ai
- skill:frontend
- status:in-progress
owner:
team: frontend
dependencies:
- TASK-00110
blocked_by: []
estimated_cost:
tokens: 12000
usd: 0.05
───
- Skills ผูกกับ Milestone
ตัวอย่าง:
yaml
skill:
id: crystal-frontend-generative-ui
milestone:
introduced: M2
labels:
- skill:frontend
- skill:ai
- area:frontend
lifecycle:
status: experimental
เมื่อผ่าน benchmark:
text
skill:experimental
↓
skill:validated
↓
skill:production
───
- Milestone + Audit
Audit report ควรรู้ว่า activity อยู่ milestone ไหน:
json
{
"event": "skill.execute",
"milestone": "M2",
"labels": [
"team:frontend",
"skill:ai"
]
}
ทำให้รายงานกลายเป็น:
text
M2 Intelligence
────────────────────
Skills: 42
Executions: 18,240
Success: 98.7%
Cost: $31.20
Experiments: 12
───
- Milestone + Benchmark
Benchmark ที่เราวางไว้ก่อนหน้าควรเป็น gate:
text
Feature
↓
Implementation
↓
Tests
↓
Benchmark
↓
Security
↓
Cost
↓
Audit
↓
Milestone Gate
↓
Release
ตัวอย่าง:
yaml
milestone_gate:
M3:
tests: ">= 95%"
security: "pass"
benchmark: ">= 90"
audit: "pass"
critical_bugs: 0
───
- CLI
เพิ่ม commands:
bash
crystal milestone list
crystal milestone show M2
crystal milestone create
crystal milestone progress M2
crystal milestone close M2
crystal label list
crystal label validate
crystal label sync
crystal label create
crystal label usage
และ:
bash
crystal task list --milestone M2
crystal task list --label team:frontend
crystal audit report --milestone M2
crystal benchmark run --milestone M2
───
- Dashboard
text
Crystal Roadmap
────────────────────────────
M0 Foundation ██████████ 100%
M1 Core ███████░░░ 70%
M2 Intelligence ████░░░░░░ 40%
M3 Production ██░░░░░░░░ 20%
M4 Scale ░░░░░░░░░░ 0%
M5 Autonomous ░░░░░░░░░░ 0%
แบ่งต่อได้:
text
Milestone
↓
Team
↓
Area
↓
Skill
↓
Task
↓
PR
↓
Test
↓
Release
Final metadata model
text
Milestone
│
┌───────┴───────┐
▼ ▼
Team Area
│ │
└───────┬───────┘
▼
Skill
│
┌──────┴──────┐
▼ ▼
Task Experiment
│ │
▼ ▼
PR Benchmark
│ │
└──────┬──────┘
▼
Audit
│
▼
Release
English: Milestones should represent roadmap/release boundaries, while labels represent searchable dimensions such as type, priority, team, area, skill, security, cost, and lifecycle. Keeping those concepts separate makes GitHub, CLI, audit reports, benchmarks, and the Skill Registry use the same metadata model.
ผมสามารถต่อเป็น labels.yml + milestones.yml + GitHub issue templates + auto-label workflow + milestone progress workflow + CLI commands + pytest validation ให้พร้อมวางใน repository ได้เลย.
ได้ครับ ควรเพิ่ม Milestones + Labels เป็น metadata กลางของ Crystal และผูกเข้ากับ skills / teams / issues / tasks / experiments / releases / audit เพื่อให้ระบบจัดการงานได้เป็นระบบเดียวกัน ไม่ใช่สร้าง label 47 อันแล้วไม่มีใครจำได้ว่าอันไหนทำอะไร
text
crystal-{brand}/
├── .github/
│ ├── ISSUE_TEMPLATE/
│ ├── workflows/
│ ├── labels.yml
│ └── milestones.yml
│
├── governance/
│ ├── labels/
│ │ ├── taxonomy.yml
│ │ ├── aliases.yml
│ │ └── rules.yml
│ │
│ └── milestones/
│ ├── roadmap.yml
│ ├── release.yml
│ └── rules.yml
│
└── docs/
└── project-management/
├── labels.md
└── milestones.md
───
แนะนำให้ label มี namespace ชัดเจน
text
type:
priority:
status:
team:
area:
skill:
security:
cost:
release:
experiment:
ตัวอย่าง:
text
type:feature
type:bug
type:task
type:research
type:documentation
type:experiment
priority:p0
priority:p1
priority:p2
priority:p3
status:planned
status:ready
status:in-progress
status:blocked
status:review
status:done
team:develop
team:frontend
team:backend
team:documents
team:research
team:news
team:security
team:platform
team:audit
area:api
area:frontend
area:memory
area:knowledge
area:skills
area:billing
area:observability
area:cli
area:infrastructure
───
เพราะ Crystal มี skill ecosystem ใหญ่ขึ้นเรื่อย ๆ ควรมี:
text
skill:frontend
skill:backend
skill:debug
skill:research
skill:security
skill:documentation
skill:testing
skill:ai
skill:devops
และสำหรับ skill lifecycle:
text
skill:new
skill:experimental
skill:validated
skill:production
skill:deprecated
skill:needs-update
skill:conflict
───
เชื่อมกับ architecture ที่เราวางไว้:
text
cost:free
cost:low
cost:medium
cost:high
cost:critical
cache:enabled
cache:miss
cache:hit
model:cheap
model:standard
model:premium
ใช้กับ benchmark และ billing ได้ด้วย
text
cost:optimization
cost:anomaly
budget:warning
budget:exceeded
───
text
security:low
security:medium
security:high
security:critical
security:secret
security:privacy
security:auth
security:permission
security:data-leak
security:dependency
security:incident
โดยเฉพาะ:
text
security:secret
ควร trigger security workflow ทันที
───
Milestone ควรแบ่งเป็นระดับ:
text
M0 Foundation
M1 Core Platform
M2 Intelligence
M3 Production
M4 Scale
M5 Autonomous
ตัวอย่าง roadmap:
text
M0 Foundation
├── Repository
├── CI/CD
├── Docker
├── PostgreSQL
├── Redis
└── CLI
M1 Core Platform
├── Auth
├── Tenant
├── API
├── Memory
├── Knowledge
└── Artifacts
M2 Intelligence
├── Skills
├── Skill Router
├── AI Router
├── Research
├── Experiments
└── Generative UI
M3 Production
├── Billing
├── Cost Control
├── Audit
├── Security
├── Observability
└── Self-Healing
M4 Scale
├── Multi-region
├── CDN
├── Advanced Cache
├── Queue
└── Horizontal Scaling
M5 Autonomous
├── Skill Discovery
├── Skill Evolution
├── Automated Evaluation
├── Self-Optimization
└── Controlled Self-Healing
───
เพื่อให้จัดการง่าย ผมแนะนำ:
text
M0-foundation
M1-core
M2-intelligence
M3-production
M4-scale
M5-autonomous
Release ผูกกับ version:
text
v0.1.0 → M0
v0.2.0 → M1
v0.3.0 → M2
v1.0.0 → M3
v2.0.0 → M4
v3.0.0 → M5
ไม่จำเป็นต้องยึด version นี้ตายตัว แต่ pattern ควร stable
───
yaml
governance/milestones/roadmap.yml
milestones:
id: M0
slug: foundation
title: "Foundation"
status: active
id: M1
slug: core
title: "Core Platform"
status: planned
id: M2
slug: intelligence
title: "AI Intelligence"
status: planned
id: M3
slug: production
title: "Production Ready"
status: planned
id: M4
slug: scale
title: "Scale"
status: planned
id: M5
slug: autonomous
title: "Controlled Autonomy"
status: planned
───
yaml
governance/labels/taxonomy.yml
labels:
type:
- feature
- bug
- task
- research
- documentation
- experiment
priority:
- p0
- p1
- p2
- p3
status:
- planned
- ready
- in-progress
- blocked
- review
- done
team:
- develop
- frontend
- backend
- documents
- research
- news
- security
- platform
- audit
area:
- api
- frontend
- memory
- knowledge
- skills
- billing
- observability
- cli
- infrastructure
───
เพิ่ม validation เพื่อไม่ให้ label chaos:
yaml
governance/labels/rules.yml
rules:
required:
- type
- priority
- team
- area
mutually_exclusive:
- status
- priority
restricted:
"security:critical":
requires:
- team:security
───
ทุก Issue/Task ควรมี:
yaml
task:
id: TASK-00124
milestone: M2
labels:
- type:feature
- priority:p1
- team:frontend
- area:ai
- skill:frontend
- status:in-progress
owner:
team: frontend
dependencies:
- TASK-00110
blocked_by: []
estimated_cost:
tokens: 12000
usd: 0.05
───
ตัวอย่าง:
yaml
skill:
id: crystal-frontend-generative-ui
milestone:
introduced: M2
labels:
- skill:frontend
- skill:ai
- area:frontend
lifecycle:
status: experimental
เมื่อผ่าน benchmark:
text
skill:experimental
↓
skill:validated
↓
skill:production
───
Audit report ควรรู้ว่า activity อยู่ milestone ไหน:
json
{
"event": "skill.execute",
"milestone": "M2",
"labels": [
"team:frontend",
"skill:ai"
]
}
ทำให้รายงานกลายเป็น:
text
M2 Intelligence
────────────────────
Skills: 42
Executions: 18,240
Success: 98.7%
Cost: $31.20
Experiments: 12
───
Benchmark ที่เราวางไว้ก่อนหน้าควรเป็น gate:
text
Feature
↓
Implementation
↓
Tests
↓
Benchmark
↓
Security
↓
Cost
↓
Audit
↓
Milestone Gate
↓
Release
ตัวอย่าง:
yaml
milestone_gate:
M3:
tests: ">= 95%"
security: "pass"
benchmark: ">= 90"
audit: "pass"
critical_bugs: 0
───
เพิ่ม commands:
bash
crystal milestone list
crystal milestone show M2
crystal milestone create
crystal milestone progress M2
crystal milestone close M2
crystal label list
crystal label validate
crystal label sync
crystal label create
crystal label usage
และ:
bash
crystal task list --milestone M2
crystal task list --label team:frontend
crystal audit report --milestone M2
crystal benchmark run --milestone M2
───
text
Crystal Roadmap
────────────────────────────
M0 Foundation ██████████ 100%
M1 Core ███████░░░ 70%
M2 Intelligence ████░░░░░░ 40%
M3 Production ██░░░░░░░░ 20%
M4 Scale ░░░░░░░░░░ 0%
M5 Autonomous ░░░░░░░░░░ 0%
แบ่งต่อได้:
text
Milestone
↓
Team
↓
Area
↓
Skill
↓
Task
↓
PR
↓
Test
↓
Release
Final metadata model
text
Milestone
│
┌───────┴───────┐
▼ ▼
Team Area
│ │
└───────┬───────┘
▼
Skill
│
┌──────┴──────┐
▼ ▼
Task Experiment
│ │
▼ ▼
PR Benchmark
│ │
└──────┬──────┘
▼
Audit
│
▼
Release
English: Milestones should represent roadmap/release boundaries, while labels represent searchable dimensions such as type, priority, team, area, skill, security, cost, and lifecycle. Keeping those concepts separate makes GitHub, CLI, audit reports, benchmarks, and the Skill Registry use the same metadata model.
ผมสามารถต่อเป็น labels.yml + milestones.yml + GitHub issue templates + auto-label workflow + milestone progress workflow + CLI commands + pytest validation ให้พร้อมวางใน repository ได้เลย.