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feature-dev功能开发

Agent Skill

feature-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

264

周安装

11

GitHub Stars

1

下载量

88
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:feature-dev(功能开发)
来源仓库:https://github.com/kenlck/skills
仓库路径:skills/feature-dev
安装命令:
npx skills add https://github.com/kenlck/skills --skill feature-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。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/kenlck/skills --skill feature-dev

简介

feature-dev 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于根据关键词、任务场景或来源线索进行信息定位和整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Feature Development

Rigorous, staged feature development: interrogate requirements → understand the codebase → design architecture → implement → review quality.

Quick start

Invoke with a feature request: /feature-dev add a notifications panel

Claude will ask your questioning mode (Quick / Normal / Grill Me) and whether to enable Log Mode, then proceed stage by stage — stopping for approval before implementation.

Core Principles

  • Understand before acting — read existing patterns before designing anything
  • Design-quality frontend — any UI work gets full aesthetic intention; see FRONTEND.md
  • Simple and elegant — readable, maintainable, architecturally sound. Minimum code that solves the problem; nothing speculative. No features beyond what was asked, no abstractions for single-use code, no error handling for impossible scenarios. If you wrote 200 lines and it could be 50, rewrite.
  • Surgical changes — touch only what the task requires. Don't "improve" adjacent code, comments, or formatting. Match existing style even if you'd do it differently. Remove imports/variables your changes orphan; don't delete pre-existing dead code unless asked. Every changed line should trace directly to the request.
  • Surface assumptions, don't hide them — if multiple plausible interpretations exist with materially different implementations, present them; don't pick silently. If something is unclear, name what's confusing and ask. Hidden confusion turns into rework.
  • Goal-driven execution — transform tasks into verifiable goals before coding. "Add validation" → "tests for invalid inputs, then make them pass". "Fix the bug" → "test that reproduces it, then make it pass". Strong success criteria let you loop independently; weak ones ("make it work") force constant clarification.
  • Track everything — use TodoWrite to track all stages and progress
  • Log decisions — when Log Mode is on, record decisions to plans/ per LOG.md

Stage 0: Setup

  1. Read the request: $ARGUMENTS
  2. If $ARGUMENTS is empty — scan plans/ for an existing implementation plan (e.g. car-fleet-plan.md). If one is found:

- Read the plan and identify all pending stages (not marked ✅ Done). - Ask the user via AskUserQuestion: work on the next pending stage (Recommended) or pick a specific stage from the list. - Once a stage is selected, use that as the feature scope and proceed. Skip to the relevant stage in the workflow. - If no plan is found, ask the user what they want to build.

  1. Create a todo list covering all stages.
  2. Check memory for prior work on this feature area.
  3. Check for existing decision logs: plans/technical-decisions.md and plans/design-decisions.md. If either exists, read it and note decisions already resolved for this feature — these do not need to be re-asked in Stage 1.
  4. Ask the user two questions via AskUserQuestion (one call, two questions):

- Questioning mode: Quick / Normal / Grill Me (see modes below) - Log Mode: On or Off (if either decisions file exists with entries for this feature, suggest On as recommended)

Questioning Modes

Quick Mode — make obvious decisions autonomously. Only ask when a choice is genuinely ambiguous and different answers lead to meaningfully different implementations. Summarize all autonomous decisions and ask for a single go/no-go confirmation before proceeding.

Normal Mode — ask focused questions for each major decision area (user flows, data model, edge cases, permissions, integrations). Use AskUserQuestion one at a time. Skip obvious choices but ask about preferences that affect the design. Always include a recommended option, clearly labelled (e.g. "Yes, keep it simple (Recommended)").

Grill Me Mode — interrogate every branch of the decision tree relentlessly. Never make assumptions. One AskUserQuestion at a time. Always lead with your recommended answer and reasoning before asking for confirmation.

In all modes: if a question can be answered by reading the codebase, answer it yourself.

Stage 1: Discovery & Requirements

  1. If a prior log was found in Stage 0, briefly present the already-resolved decisions and confirm they still stand before continuing. Skip re-asking any question that is already answered in the log.
  2. Interrogate remaining open requirements using the chosen mode.
  3. Summarize all confirmed decisions. Get explicit sign-off before proceeding.
  4. If Log Mode is on, write or update the log file per LOG.md.

Stage 2: Codebase Exploration & Clarification

  1. Launch 2–3 general-purpose agents in parallel using Explorer prompts from AGENTS.md.
  2. Read all key files the agents identify.
  3. Present findings: patterns discovered, abstractions to reuse, conventions to follow.
  4. Ask any follow-up questions the codebase revealed, using the active questioning mode.
  5. If Log Mode is on, update the log with any new technical decisions.

Stage 3: Architecture Design

  1. Launch 2–3 general-purpose agents in parallel using Architect prompts from AGENTS.md.
  2. Review all approaches and form your own recommendation.
  3. Present: brief summary of each approach, trade-off comparison, your recommendation with reasoning.
  4. Ask the user which approach they prefer (AskUserQuestion).
  5. If Log Mode is on, record the architecture decision to the log.

Stage 4: Implementation

DO NOT START WITHOUT EXPLICIT USER APPROVAL.

  1. Wait for approval on the chosen architecture.
  2. Read all relevant files identified in previous stages.
  3. Break the work into sub-tasks, each phrased as a verifiable goal (failing test, type check, observable behavior). Loop on each: write the verification, make it pass, move on. Don't ask for check-ins between green sub-tasks.
  4. Implement following the chosen architecture and codebase conventions. Keep changes surgical — every edited line traces to the task. Update todos as you go.
  5. Frontend work: If the feature includes meaningful UI — pages, components, layouts, forms, visual changes — follow FRONTEND.md. Ask the user whether to use frontend-design or proceed inline. If Log Mode is on, record design decisions to the log.

Stage 5: Code Quality

  1. Ask the user if they want automated quality passes (AskUserQuestion).
  2. If yes: run a simplification pass (redundancy, DRY, complexity) then a review pass (bugs, security, conventions). Report by severity. Ask what to fix now vs defer.
  3. Launch 3 general-purpose agents in parallel using Reviewer prompts from AGENTS.md.
  4. Surface highest-severity issues. Address based on user decision.

Stage 6: Summary

  1. Mark all todos complete.
  2. Summarize: what was built, key decisions, files modified/created, frontend choices, suggested next steps.
  3. If Log Mode is on, finalize the log file with a summary section.

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

36.12%
按下载量换算32

Claude

28.04%
按下载量换算25

Cursor

18.75%
按下载量换算17

Gemini CLI

9.07%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。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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