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#1,237 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視

維護者通常 1 天內回覆

還沒有人認領這個 Issue。

評估

難度
1/5
預估耗時
1 小時以內
新手友好度
20/100
Issue 類型
文件
描述清晰度
描述清楚
活躍度
冷清
技術堆疊
kotlin

研究方向

This pinned issue is a contributor guide, not an implementation task. Read the linked getting-started guide and issue taxonomy to understand the DARC and SKEEP workflows; use the linked issue searches to find a specific open sub-issue with a file to copy and a Gradle task to run. Done means claiming and completing that sub-issue, rather than changing this guide.

由索引模型根據 Issue 內容生成。

描述

documentation help wanted

Welcome! This issue stays pinned so the first thing you see is how to find something you can actually do.

Two workflows, one sentence each

  • DARC (Document / Assess / Research / Code) drives one feature — an operator, a metric, a kernel. A feature is one parent issue (tracking darc) plus small, skill-labelled sub-issues you can claim on their own.
  • SKEEP records one architectural decision — public API, DSL, storage, runtime/compiler integration, compatibility — as a numbered proposal under docs/modules/skeep/, coordinated through a skeep tracking issue.

Find a task (every one names the file to copy from and the exact Gradle task to run):

Claim it: comment on the sub-issue; a maintainer assigns it. Branch from develop, keep the PR to that one sub-issue, link it with Closes #NNN.

Read more: Getting started as a contributor · Issue taxonomy (labels & title prefixes) · Worked example: F1Score via DARC · a live example feature: #1222

Questions? Ask right here in the comments.

主要語言
Kotlin
星號
52
分支
15
平均合併
1 天 8 小時
30 天內合併 PR
37

環境準備

  • 沒有 Dockerfile 或 Docker Compose 檔案
  • 沒有 Pull Request 範本
  • 閱讀貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

SKaiNET-developers/SKaiNET 的其他 Issue

查看 SKaiNET-developers/SKaiNET 的全部 Issue

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