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adr-create

Create a new Architecture Decision Record with sequential numbering and AgentDB registration

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-adr-skills-adr-create-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name adr-create description Create a new Architecture Decision Record with sequential numbering and AgentDB registration argument-hint <title> allowed-tools mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-query mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search Bash Read Write Edit Grep Glob Create ADR Create a new Architecture Decision Record with the next sequential number, register it in the AgentDB graph, and link it to related ADRs. When to use When a significant architectural decision needs to be recorded -- new technology adoption, API design choices, data model changes, infrastructure decisions, or any cross-cutting concern that affects multiple components. Steps Find next number -- Glob for docs/adr/ADR-*.md and parse existing numbers to determine the next sequential ID (ADR-001, ADR-002, etc.). Create docs/adr/ if it does not exist. Slugify title -- Convert the title argument to a lowercase, hyphen-separated slug (e.g., "Use PostgreSQL for persistence" becomes use-postgresql-for-persistence ). Create ADR file -- Write the file at docs/adr/ADR-NNN-<slug>.md using the standard template: # ADR-NNN: < Title > - **Status** : proposed - **Date** : <today's date YYYY-MM-DD> - **Deciders** : < leave blank for author to fill > - **Tags** : < leave blank > ## Context <!-- What is the issue that motivates this decision? --> ## Decision <!-- What is the change that we are proposing? --> ## Consequences ### Positive - ### Negative - ### Neutral - ## Links Store in AgentDB -- Call mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store with: key: mem:ADR-NNN tier: semantic value: a JSON-encoded string: { "id": "ADR-NNN", "title": "<title>", "status": "proposed", "date": "<today>", "file": "docs/adr/ADR-NNN-<slug>.md" } Find related ADRs -- Call mcp__plugin_ruflo-core_ruflo__memory_search with the title as query in namespace adr-patterns to find related decisions. If matches are found, add them to the Links section and call mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge for each relationship with: sourceId: mem:ADR-NNN targetId: mem:ADR-RELATED relation: depends-on Store pattern -- Call mcp__plugin_ruflo-core_ruflo__memory_store in namespace adr-patterns with key ADR-NNN and the title + context as value for future semantic search. Report -- Output the created file path, ADR number, and any related ADRs found.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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