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ai-native-devAI 原生开发

Agent Skill

ai-native-dev 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

388

周安装

16

GitHub Stars

公开资料未说明

下载量

127
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

3

许可证

MIT

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:ai-native-dev(AI 原生开发)
来源仓库:https://github.com/junhua/forth-ai-homepage
仓库路径:skills/ai-native-dev
安装命令:
npx skills add https://github.com/junhua/forth-ai-homepage --skill ai-native-dev
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/junhua/forth-ai-homepage --skill ai-native-dev

简介

用于管理 AI 原生项目的任务进度与状态更新,自动维护 TASKS.md 文件。

  • 适用于启动任务、提交代码、解决阻塞或完成工作时同步进展信息。
  • 通过预设触发条件自动更新任务看板,保持团队对工作负载的可视化掌控。
  • 需确保项目根目录存在 TASKS.md,否则应在重大操作时主动创建以支持追踪。
  • ai-native-dev 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

AI-Native Project Management

This skill runs automatically. Update TASKS.md whenever:

  • Starting work on a task
  • Completing a task or subtask
  • Getting blocked
  • Planning new work
  • Making commits

Task Board Location

Look for TASKS.md in the project root. If it doesn't exist and you're doing significant work, create it.


When to Update (Automatic Triggers)

EventAction
Starting a feature/fixMove task to "In Progress" or create one
Committing codeUpdate progress notes on current task
Creating a PRMove task to "Review"
Getting blockedMove to "Blocked" with clear question
Completing workMove to "Done" with date and PR link
User describes new workAdd to Backlog with estimate
Session endingEnsure all in-progress work is captured

How to Update TASKS.md

Moving a Task to In Progress

## In Progress

- [ ] **TASK-XXX** [Title] `@ai`
  - Branch: `feature/xxx`
  - Progress: [Current status]
  - Next: [What's being done next]

Moving to Review

## Review

- [ ] **TASK-XXX** [Title] `@human`
  - PR: #[number]
  - Changes: [Brief summary]
  - Review focus: [What human should check]

Moving to Blocked

## Blocked

- [ ] **TASK-XXX** [Title]
  - Blocker: [What's blocking]
  - Question: [Specific question for human]
  - Options: A) ... B) ... C) ...

Moving to Done

## Done

- [x] **TASK-XXX** [Title] — PR #[N] — YYYY-MM-DD

Adding New Task

## Backlog

### P1 - Current Priority
1. [ ] **TASK-XXX** [Title]
   - Why: [Customer need / problem]
   - Scope: [What's included]
   - Estimate: X AI-hours

Effort Estimation

Estimate in AI-hours (not human hours). Use this guide:

Task TypeAI-HoursExample
Trivial0.25Fix typo, update config
Small0.5-1Bug fix, add field, small UI tweak
Medium1-2New component, API endpoint, feature flag
Large2-4Full feature, integration, refactor
XL4-8Cross-cutting feature, new system

Factors that increase estimate:

  • Unfamiliar codebase (+50%)
  • No existing patterns to follow (+25%)
  • Requires human decisions mid-task (+1-2h for wait time)
  • Complex testing requirements (+25%)

Prioritization Rules

When adding to backlog, assign priority:

PriorityCriteria
P1Blocking other work, customer-facing bug, current sprint
P2Important but not urgent, next sprint
P3Nice to have, future consideration

Within each priority, order by:

  1. Dependencies (unblock others first)
  2. Customer impact
  3. Effort (quick wins before large tasks when equal value)

Task ID Convention

Format: [PROJECT]-[NUMBER]

Examples:

  • ACCT-001 for accounting demo
  • PROD-001 for main product
  • SITE-001 for website

Auto-increment by finding highest existing number.


Proactive Behaviors

At session start:

  • Read TASKS.md to understand current state
  • Note any stale "In Progress" items (might need status update)

During development:

  • When user says "let's work on X" → Create/move task to In Progress
  • When committing → Update progress notes
  • When hitting a blocker → Move to Blocked immediately
  • When PR is ready → Move to Review

At session end:

  • Ensure TASKS.md reflects current state
  • Update "Last Updated" timestamp
  • Note any handoff items for next session

When user describes new work:

  • Immediately add to appropriate priority in Backlog
  • Include estimate
  • Ask clarifying questions if scope is unclear

Board Health Checks

Periodically verify:

  • No tasks stuck in "In Progress" for multiple sessions
  • "Blocked" items have clear questions
  • Backlog is prioritized (P1 before P2)
  • Done items have dates and PR links
  • Estimates exist for P1 items

Integration with Development

This skill works alongside normal development:

  1. Don't ask permission to update TASKS.md - just do it
  2. Update incrementally - small updates as you go, not big batch at end
  3. Keep it current - the board should reflect reality at all times
  4. Surface blockers immediately - don't wait to move things to Blocked

Template: New TASKS.md

When creating for a new project:

# Tasks

**Project**: [Name]
**Last Updated**: [Today's date]

---

## In Progress

---

## Review

---

## Blocked

---

## Backlog

### P1 - Current Priority

### P2 - Next Up

### P3 - Later

---

## Done

---

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

31.4%
按下载量换算40

OpenCode

23.05%
按下载量换算29

Codex

18.56%
按下载量换算24

Antigravity

13.29%
按下载量换算17

Gemini CLI

8.97%
按下载量换算11

windsurf

3.55%
按下载量换算5

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

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