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aidlcaidlc 开发

Agent Skill

aidlc 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

222

周安装

9

GitHub Stars

公开资料未说明

下载量

70
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aidlc(aidlc 开发)
来源仓库:https://github.com/konippi/aidlc-skill
仓库路径:skills/aidlc
安装命令:
npx skills add https://github.com/konippi/aidlc-skill --skill aidlc
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/konippi/aidlc-skill --skill aidlc

简介

aidlc 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合整理项目状态与变更事项。

  • 适用于围绕仓库动态、代码审查或协作流程进行信息归纳。
  • 通过 npx skills add 命令安装,需确认权限与网络访问范围。
  • 建议结合原始 README 核实具体用法,避免触发未授权操作。
  • 使用前请检查仓库维护状态及是否涉及文件读写权限。

SKILL.md

AI-DLC Core Workflow

AI-DLC is an adaptive software development workflow that intelligently tailors itself to your specific needs.

Activation Triggers

Use this skill when:

  • User request starts with "Using AI-DLC,..."
  • Complex software development requiring structured planning
  • Projects needing requirements analysis, design, and implementation

MANDATORY: Rule Details Loading

CRITICAL: When performing any phase, you MUST read and use relevant content from references/ directory.

Common Rules: ALWAYS load at workflow start:

  • Load references/common/process-overview.md for workflow overview
  • Load references/common/session-continuity.md for session resumption
  • Load references/common/content-validation.md for validation requirements
  • Load references/common/question-format-guide.md for question formatting

The Three-Phase Lifecycle

INCEPTION PHASE - Planning & Architecture

Purpose: Determines WHAT to build and WHY

StageExecutionDetails
Workspace DetectionALWAYSreferences/inception/workspace-detection.md
Reverse EngineeringCONDITIONALreferences/inception/reverse-engineering.md
Requirements AnalysisALWAYSreferences/inception/requirements-analysis.md
User StoriesCONDITIONALreferences/inception/user-stories.md
Workflow PlanningALWAYSreferences/inception/workflow-planning.md
Application DesignCONDITIONALreferences/inception/application-design.md
Units GenerationCONDITIONALreferences/inception/units-generation.md

CONSTRUCTION PHASE - Design, Implementation & Test

Purpose: Determines HOW to build it

StageExecutionDetails
Functional DesignCONDITIONALreferences/construction/functional-design.md
NFR RequirementsCONDITIONALreferences/construction/nfr-requirements.md
NFR DesignCONDITIONALreferences/construction/nfr-design.md
Infrastructure DesignCONDITIONALreferences/construction/infrastructure-design.md
Code GenerationALWAYSreferences/construction/code-generation.md
Build and TestALWAYSreferences/construction/build-and-test.md

OPERATIONS PHASE - Placeholder

Purpose: How to DEPLOY and RUN it (future expansion)

See references/operations/operations.md for details.

Key Principles

  1. Adaptive Execution: Only execute stages that add value
  2. Flexible Depth: Adjust depth based on complexity (minimal/standard/comprehensive)
  3. Human-in-the-Loop: Explicit approval required at every critical decision point
  4. Complete Audit Trail: Log ALL interactions with ISO 8601 timestamps
  5. User Control: User can request stage inclusion/exclusion

Workflow Initialization

  1. Create aidlc-docs/aidlc-state.md using references/common/state-template.md
  2. Create aidlc-docs/audit.md using references/common/audit-template.md
  3. Display welcome message from references/common/welcome-message.md (once per workflow)
  4. Execute Workspace Detection
  5. Proceed through phases based on workflow plan

Directory Structure

<WORKSPACE-ROOT>/
├── [project-specific structure]
│
└── aidlc-docs/
    ├── inception/
    │   ├── plans/
    │   ├── reverse-engineering/
    │   ├── requirements/
    │   ├── user-stories/
    │   └── application-design/
    ├── construction/
    │   ├── plans/
    │   ├── {unit-name}/
    │   └── build-and-test/
    ├── operations/
    ├── aidlc-state.md
    └── audit.md

Stage Execution Pattern

All stages follow the Planning → Generation pattern:

Part 1: Planning

  1. Create plan with checkboxes for each step
  2. Generate context-appropriate questions using [Answer]: tags
  3. Collect user answers
  4. Analyze answers for ambiguities
  5. Create follow-up questions if ambiguities found
  6. Wait for explicit approval

Part 2: Generation

  1. Load approved plan
  2. Execute each step sequentially
  3. Mark checkboxes [x] immediately after completion
  4. Generate artifacts
  5. Present completion message
  6. Wait for explicit approval

Critical Rules

  • NEVER proceed without explicit user approval
  • ALWAYS log interactions in audit.md
  • NEVER summarize user input in audit log - capture complete raw input
  • Application code goes to workspace root, NEVER to aidlc-docs/
  • ALWAYS use multiple choice question format with [Answer]: tags
  • ALWAYS validate content before file creation

Reference Files

For detailed guidance, load the appropriate reference file:

Common

  • references/common/process-overview.md
  • references/common/question-format-guide.md
  • references/common/content-validation.md
  • references/common/depth-levels.md
  • references/common/terminology.md
  • references/common/session-continuity.md
  • references/common/error-handling.md
  • references/common/overconfidence-prevention.md
  • references/common/ascii-diagram-standards.md
  • references/common/state-template.md
  • references/common/audit-template.md
  • references/common/welcome-message.md
  • references/common/workflow-changes.md

Inception

  • references/inception/workspace-detection.md
  • references/inception/reverse-engineering.md
  • references/inception/requirements-analysis.md
  • references/inception/user-stories.md
  • references/inception/workflow-planning.md
  • references/inception/application-design.md
  • references/inception/units-generation.md

Construction

  • references/construction/functional-design.md
  • references/construction/nfr-requirements.md
  • references/construction/nfr-design.md
  • references/construction/infrastructure-design.md
  • references/construction/code-generation.md
  • references/construction/build-and-test.md

Operations

  • references/operations/operations.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.54%
按下载量换算26

Claude

31.71%
按下载量换算22

Cursor

18.84%
按下载量换算13

Gemini CLI

10.02%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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