sdlc — ai-tools claude-session-dashboard, community, ai-tools, ide skills, anthropic, claude-code, dashboard, developer-tools, observability, open-source, Claude Code

v1.0.0
GitHub

关于此技能

Perfect for Development Agents needing comprehensive SDLC pipeline analysis and visualization. Claude Code Session Dashboard — local observability for ~/.claude sessions

# 核心主题

ai-tools anthropic claude-code dashboard developer-tools observability
dlupiak dlupiak
[27]
[4]
更新于: 3/18/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
33
Canonical Locale
en
Detected Body Locale
en

Perfect for Development Agents needing comprehensive SDLC pipeline analysis and visualization. Claude Code Session Dashboard — local observability for ~/.claude sessions

核心价值

Empowers agents to streamline development workflows by providing pipeline status, quality gates, and task analytics through Git, npm, and GitHub APIs, utilizing bash commands like git branch, git status, and gh run.

适用 Agent 类型

Perfect for Development Agents needing comprehensive SDLC pipeline analysis and visualization.

↓ 赋予的主要能力 · sdlc

Displaying current SDLC pipeline status for informed decision-making
Gathering data on Git status, quality status, and CI status for pipeline optimization
Generating a formatted dashboard for visualization of recent commits, open PRs, and active tasks

! 使用限制与门槛

  • Requires Git and GitHub access
  • Needs npm and GitHub CLI installed
  • Limited to bash-compatible environments

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致，便于搜索引擎理解页面内容。

? FAQ

sdlc 是什么？

Perfect for Development Agents needing comprehensive SDLC pipeline analysis and visualization. Claude Code Session Dashboard — local observability for ~/.claude sessions

如何安装 sdlc？

运行命令：npx killer-skills add dlupiak/claude-session-dashboard。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

sdlc 适用于哪些场景？

典型场景包括：Displaying current SDLC pipeline status for informed decision-making、Gathering data on Git status, quality status, and CI status for pipeline optimization、Generating a formatted dashboard for visualization of recent commits, open PRs, and active tasks。

sdlc 支持哪些 IDE 或 Agent？

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

sdlc 有哪些限制？

Requires Git and GitHub access；Needs npm and GitHub CLI installed；Limited to bash-compatible environments。

↓ 安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行：npx killer-skills add dlupiak/claude-session-dashboard。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    sdlc 已启用，可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考，但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论，再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

sdlc

安装 sdlc，这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf，一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

SDLC Pipeline Status

Display the current state of the development pipeline.

Gather Data

Collect the following information:

Git Status

bash
1git branch --show-current
2git status --short
3git log --oneline -5

Quality Status

Run from apps/web/:

bash
1npm run typecheck 2>&1 | tail -1
2npm run lint 2>&1 | tail -1

CI Status

bash
1gh run list --limit 3

Open PRs

bash
1gh pr list --state open

Open Issues

bash
1gh issue list --state open --limit 5

Task Pipeline

Run TaskList to retrieve active tasks from the native task store. Group and display by feature:

Active Tasks:
  Feature: <story-id>
  [completed]   Create SSE server fn
  [in_progress] Add streaming UI
  [pending]     Unit tests

  N completed, M in-progress, P pending

Also check for active worktrees:

bash
1git worktree list

If no tasks and no feature worktrees found, display: "No active features."

Display Dashboard

Output a formatted dashboard:

========================================
  Claude Session Dashboard -- SDLC Pipeline Status
========================================

Branch:    <current branch>
Status:    <clean / N uncommitted changes>
Last CI:   <pass/fail -- run ID>

Quality Gates:
  typecheck:  PASS / FAIL
  lint:       PASS / FAIL

Recent Commits:
  <last 5 commits>

Open PRs:
  <list or "none">

Open Issues:
  <list or "none">

Worktrees:
  <list from git worktree list, or "none">

Active Tasks:
  <grouped task list from TaskList, or "No active features">
========================================

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