Agent skill

Data Architecture

by devcodex-labs in devcodex-labs/devcodex

数据架构专家 Owner — 当任务涉及数据模型、Schema、迁移、索引、查询、生命周期、数据质量、派生指标、分析消费者、跨环境数据或持久化状态时使用;要求把数据结构、演进和消费链设计清楚。

AGPL-3.0Auto-check passed

Install Data Architecture

skills CLI
$ npx skills add devcodex-labs/devcodex --skill data-architecture -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install devcodex-labs/devcodex data-architecture --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/data-architecture .claude/skills/data-architecture && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-architecture
GitHub stars
439
Token cost
~440 tokens
SKILL.md length
86 words
Files
2
Skills in repo
70
Repo updated
First seen
Licence
AGPL-3.0

At a glance

数据架构专家 Owner — 当任务涉及数据模型、Schema、迁移、索引、查询、生命周期、数据质量、派生指标、分析消费者、跨环境数据或持久化状态时使用;要求把数据结构、演进和消费链设计清楚。

  • Works in 5 steps: 建立数据模型和消费者清单。 → 确定稳定业务键、唯一性、关系、生命周期和保留策略。 → 设计迁移路线、dry-run、回滚和缺失/重复清单。 → …
  • SKILL.md covers 定位, 触发条件, 核心门禁 and 执行步骤, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Architecture is an agent skill from devcodex-labs/devcodex. 数据架构专家 Owner — 当任务涉及数据模型、Schema、迁移、索引、查询、生命周期、数据质量、派生指标、分析消费者、跨环境数据或持久化状态时使用;要求把数据结构、演进和消费链设计清楚。

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `intent.json`).

The repository describes itself as: Intent-driven AI coding workflow runtime for consistent context, skills, approvals, validation, and handoffs across six AI coding hosts. The licence is AGPL-3.0.

Example prompts

  • “/data-architecture”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 建立数据模型和消费者清单。
  2. 确定稳定业务键、唯一性、关系、生命周期和保留策略。
  3. 设计迁移路线、dry-run、回滚和缺失/重复清单。
  4. 评估查询、索引、分页、缓存和性能。
  5. 绑定数据质量、派生指标、分析消费者和验证证据。

What it can do on your machine

Read from SKILL.md and the folder at commit 1dd4525. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Architecture loads about 440 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 86 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~440

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from devcodex-labs/devcodex at commit 1dd4525, republished under its AGPL-3.0 licence (© devcodex-labs). 86 words, ~440 tokens.

Download SKILL.mdSave it as .claude/skills/data-architecture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
data-architecture
description
数据架构专家 Owner — 当任务涉及数据模型、Schema、迁移、索引、查询、生命周期、数据质量、派生指标、分析消费者、跨环境数据或持久化状态时使用;要求把数据结构、演进和消费链设计清楚。

Data Architecture Skill

定位

本 Skill 负责数据架构 Owner 视角。它关注数据如何建模、迁移、查询、维护质量、被谁消费,以及生命周期如何闭环。

触发条件

场景是否触发
数据模型、Schema、migration、索引、查询、缓存、持久化状态、派生指标必须
涉及跨环境数据补齐、导入导出、数据质量、保留策略或分析消费者必须
修改 Profile、台账、报告字段或运行态状态结构必须
纯静态文案或无状态计算N/A + skipReason

核心门禁

Gate要求证据
DataArchitectureGate数据模型、迁移、索引、生命周期、质量和消费者必须成矩阵dataModel、schemaMigration
DataModelBoundaryGate业务实体、关系、字段、约束和稳定键必须明确dataModel
MigrationSafetyGate迁移、回滚、dry-run、重复/缺失处理必须可验证schemaMigration
QueryIndexGate查询路径、索引、分页和性能边界必须说明queryIndexPlan
DataQualityLifecycleGate数据质量、保留、清理、派生消费者必须明确dataQuality、lifecycleRetention

执行步骤

  1. 建立数据模型和消费者清单。
  2. 确定稳定业务键、唯一性、关系、生命周期和保留策略。
  3. 设计迁移路线、dry-run、回滚和缺失/重复清单。
  4. 评估查询、索引、分页、缓存和性能。
  5. 绑定数据质量、派生指标、分析消费者和验证证据。

输出字段

markdown
## DataArchitectureGate

| 字段 | 内容 |
|------|------|
| dataModel | 实体、关系、字段、约束、稳定键 |
| schemaMigration | 迁移、dry-run、回滚、缺失/重复处理 |
| queryIndexPlan | 查询路径、索引、分页、性能边界 |
| lifecycleRetention | 生命周期、保留、清理、归档 |
| dataQuality | 完整性、一致性、重复、异常数据策略 |
| analyticsConsumer | 派生指标、报表、日志、消费者影响 |
| evidenceMatrix | 判断 -> schema / migration / query / tests / samples / docs |

反模式

反模式修正
直接使用源环境 _id 写目标环境用稳定业务键或显式映射清单
只改字段不评估消费者列 analyticsConsumer 和 derived consumer
无 dry-run 的数据迁移补范围、预览、缺失/重复、回滚
查询无索引和分页判断补 queryIndexPlan

与其他 Skill 的关系

  • dev-database:数据库 schema 变更使用专门 migration 安全策略。
  • api-contract-architecture:数据字段进入 public API 时必须同步契约。
  • quality-strategy:数据质量需要测试和回归矩阵。

© devcodex-labs, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in content/skills/data-architecture of devcodex-labs/devcodex.

  • SKILL.md
  • intent.json

Open the folder on GitHubat commit 1dd4525

Compare with similar skills

Data Architecture next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Architecture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Architecture this skilldevcodex-labs/devcodex439—~440Automated safety check: PassAGPL-3.0
Agile Product Ownerdavila7/claude-code-templates32k2 repos~256Automated safety check: PassMIT
Agile Product Owneralirezarezvani/claude-skills28k3 repos~3.2kAutomated safety check: PassMIT
Salon OwnerFerroxLabs/wayland608—~4.7kAutomated safety check: PassApache-2.0
Gym Studio OwnerFerroxLabs/wayland608—~4.9kAutomated safety check: PassApache-2.0
Restaurant OwnerFerroxLabs/wayland608—~4.1kAutomated safety check: PassApache-2.0

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Questions about Data Architecture

What does Data Architecture do?

数据架构专家 Owner — 当任务涉及数据模型、Schema、迁移、索引、查询、生命周期、数据质量、派生指标、分析消费者、跨环境数据或持久化状态时使用;要求把数据结构、演进和消费链设计清楚。. Data Architecture is an agent skill from devcodex-labs/devcodex.

How do I install Data Architecture in Claude Code?

Run `npx skills add devcodex-labs/devcodex --skill data-architecture -a claude-code`. Or copy the skill folder (content/skills/data-architecture in devcodex-labs/devcodex) into .claude/skills/data-architecture in your project. Claude Code loads it when a task matches its description.

How do I install Data Architecture in Codex?

Run `npx skills add devcodex-labs/devcodex --skill data-architecture -a codex`. Or copy the skill folder (content/skills/data-architecture in devcodex-labs/devcodex) into .agents/skills/data-architecture in your project. Codex loads it when a task matches its description.

Can I use Data Architecture in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add devcodex-labs/devcodex --skill data-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-architecture, .gemini/skills/data-architecture, .github/skills/data-architecture and .opencode/skills/data-architecture in your project.

What does Data Architecture need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Architecture is instructions for the agent only.

Does Data Architecture access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Architecture safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Data Architecture use?

Data Architecture is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Architecture use?

About 440 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

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Who maintains Data Architecture?

devcodex-labs (a GitHub organization) maintains it in devcodex-labs/devcodex, which has 439 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on September 17, 2026.

Source: devcodex-labs/devcodex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.