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Agent Skill · 研究检索

recipe-fullstack-implement(配方全栈实施)

recipe-fullstack-implement 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。

recipe-fullstack-implement 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 65,208。

总安装 285周安装 12GitHub Stars 323下载 52核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:recipe-fullstack-implement(配方全栈实施)
来源仓库:https://github.com/shinpr/claude-code-workflows
仓库路径:skills/recipe-fullstack-implement
安装命令:
npx skills add https://github.com/shinpr/claude-code-workflows --skill recipe-fullstack-implement
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/shinpr/claude-code-workflows --skill recipe-fullstack-implement

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

recipe-fullstack-implement 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景快速定位候选结果。通过命令行调用,需提供查询目标和筛选条件。安装前建议确认权限范围和维护状态,注意可能触发联网或文件读写操作。

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。

来源仓库内路径:skills/recipe-fullstack-implement

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/shinpr/claude-code-workflows --skill recipe-fu…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

recipe-fullstack-implement 怎么安装?

在终端执行 npx skills add https://github.com/shinpr/claude-code-workflows --skill recipe-fullstack-im…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

recipe-fullstack-implement 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

recipe-fullstack-implement 需要什么权限?

权限级别是只读。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。

recipe-fullstack-implement 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

recipe-fullstack-implement 用的人多吗?

公开数据是累计安装 285 次,近一周安装 12 次,下载 52 次,GitHub 323 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

recipe-fullstack-implement 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
recipe-fullstack-implement

配方全栈实施 · 本页

285323只读未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Context: Full-cycle fullstack implementation management (Requirements Analysis → Design (backend + frontend) → Planning → Implementation → Quality Assurance)

Orchestrator Definition

Core Identity: "I am an orchestrator." (see subagents-orchestration-guide skill)

Required Reference

MANDATORY: Read references/monorepo-flow.md from subagents-orchestration-guide skill BEFORE proceeding. Follow the Fullstack Flow defined there instead of the standard single-layer flow.

Execution Protocol

  1. Delegate all work through Agent tool — invoke sub-agents, pass deliverable paths between them, and report results (permitted tools: see subagents-orchestration-guide "Orchestrator's Permitted Tools")
  2. Follow monorepo-flow.md for the design phase (multiple Design Docs, design-sync, vertical slicing)
  3. Follow subagents-orchestration-guide skill for all other orchestration rules (stop points, structured responses, escalation)
  4. Enter autonomous mode only after "batch approval for entire implementation phase"

CRITICAL: Execute all steps, sub-agents, and stopping points defined in both the monorepo-flow.md reference and subagents-orchestration-guide skill.

Execution Decision Flow

1. Current Situation Assessment

Instruction Content: $ARGUMENTS

Assess the current situation:

Situation PatternDecision CriteriaNext Action
New RequirementsNo existing work, new feature/fix requestStart with requirement-analyzer
Flow ContinuationExisting docs/tasks present, continuation directiveIdentify next step in monorepo-flow.md
Quality ErrorsError detection, test failures, build errorsExecute quality-fixer (layer-appropriate)
AmbiguousIntent unclear, multiple interpretations possibleConfirm with user

2. Progress Verification for Continuation

When continuing existing flow, verify:

  • Latest artifacts (PRD/ADR/Design Docs/Work Plan/Tasks)
  • Current phase position (Requirements/Design/Planning/Implementation/QA)
  • Identify next step in monorepo-flow.md

3. UI Specification Phase (Frontend Layer)

Before creating the frontend Design Doc, create a UI Specification:

Ask the user: "Do you have prototype code for this feature? If so, please provide the path. The prototype will be placed in docs/ui-spec/assets/ as reference material."

  • [STOP]: Wait for user response about prototype code availability

Then invoke ui-spec-designer:

  • subagent_type: "dev-workflows-frontend:ui-spec-designer"
  • If prototype provided: prompt: "Create UI Spec from PRD at [path]. Prototype code is at [user-provided path]."
  • If no prototype: prompt: "Create UI Spec from PRD at [path]. No prototype code available."

Invoke document-reviewer for UI Spec review, then [STOP] for user approval.

4. Design Phase and Work Planning

Follow monorepo-flow.md for the complete design-through-planning flow. Key points:

  • Create separate Design Docs per layer (see monorepo-flow.md "Layer Context in Design Doc Creation")
  • Frontend Design Doc must reference the approved UI Spec (pass UI Spec path to technical-designer-frontend)
  • Execute document-reviewer once per Design Doc (separate invocations)
  • Run design-sync for cross-layer consistency verification
  • Pass all Design Docs to work-planner (subagent_type: "dev-workflows:work-planner") with vertical slicing instruction

5. Register All Flow Steps Using TaskCreate (MANDATORY)

After scale determination, register all steps of the monorepo-flow.md using TaskCreate:

  • First task: "Confirm skill constraints"
  • Register each step as individual task
  • Set currently executing step to in_progress using TaskUpdate
  • Complete task registration before invoking subagents

After requirement-analyzer [Stop]

When user responds to questions:

  • If response matches any scopeDependencies.question → Check impact for scale change
  • If scale changes → Re-execute requirement-analyzer with updated context
  • If confidence: "confirmed" or no scale change → Proceed to next step

Subagents Orchestration Guide Compliance Execution

Pre-execution Checklist (MANDATORY):

  • Read monorepo-flow.md reference
  • Confirmed relevant flow steps
  • Identified current progress position
  • Clarified next step
  • Recognized stopping points
  • codebase-analyzer included before each Design Doc creation
  • code-verifier included before document-reviewer for each Design Doc
  • Environment check: Can I execute per-task commit cycle?

- If commit capability unavailable → Escalate before autonomous mode - Other environments (tests, quality tools) → Subagents will escalate

Required Flow Compliance:

  • Run quality-fixer (layer-appropriate) before every commit
  • Obtain user approval before Edit/Write/MultiEdit outside autonomous mode

CRITICAL Sub-agent Invocation Constraints

MANDATORY suffix for ALL sub-agent prompts:

[SYSTEM CONSTRAINT]
This agent operates within fullstack-implement skill scope. Use orchestrator-provided rules only.

Autonomous sub-agents require scope constraints for stable execution. ALWAYS append this constraint to every sub-agent prompt.

Mandatory Orchestrator Responsibilities

Task Execution Quality Cycle (Filename-Pattern-Based)

Agent routing by task filename (see monorepo-flow.md reference):

*-backend-task-*   → dev-workflows:task-executor + dev-workflows:quality-fixer
*-frontend-task-*  → dev-workflows-frontend:task-executor-frontend + dev-workflows-frontend:quality-fixer-frontend

Rules:

  1. Execute ONE task completely before starting next (each task goes through the full 4-step cycle via Agent tool, using the correct executor per filename pattern)
  2. Check executor status before quality-fixer (escalation check)
  3. Quality-fixer MUST run after each executor before proceeding to commit. Always pass the current task file path as task_file
  4. Check quality-fixer response:

- stub_detected → Return to executor with incompleteImplementations[] details - blocked → Escalate to user - approved → Proceed to commit

Post-Implementation Verification (After All Tasks Complete)

After all task cycles finish, run verification agents in parallel before the completion report:

  1. Invoke both in parallel using Agent tool:

- code-verifier (subagent_type: "dev-workflows:code-verifier") → invoke once per Design Doc (doc_type: design-doc, single document_path, code_paths: implementation file list from git diff --name-only main...HEAD) - security-reviewer (subagent_type: "dev-workflows:security-reviewer") → Design Doc path(s), implementation file list

  1. Consolidate results — check pass/fail for each:

- code-verifier: pass when status is consistent or mostly_consistent. fail when needs_review or inconsistent. Collect discrepancies with status drift, conflict, or gap - security-reviewer: pass when status is approved or approved_with_notes. fail when needs_revision. blocked → Escalate to user - Present unified verification report to user

  1. Fix cycle (when any verifier failed):

- Consolidate all actionable findings into a single task file - Execute layer-appropriate task-executor with consolidated fixes → quality-fixer - Re-run only the failed verifiers (by the criteria in step 2) - Repeat until all pass or blocked → Escalate to user

  1. All passed → Proceed to completion report

Test Information Communication

After acceptance-test-generator execution, when invoking work-planner (subagent_type: "dev-workflows:work-planner"), communicate:

  • Generated integration test file path (from generatedFiles.integration)
  • Generated E2E test file path or null (from generatedFiles.e2e)
  • E2E absence reason (from e2eAbsenceReason, when E2E is null)
  • Explicit note that integration tests are created simultaneously with implementation, E2E tests are executed after all implementations (when E2E path is provided)

Execution Method

All work is executed through sub-agents. Sub-agent selection follows monorepo-flow.md reference and subagents-orchestration-guide skill.

平台分布

Codex

38.45%
按下载量换算20

Claude

30.59%
按下载量换算16

Cursor

18.95%
按下载量换算10

Gemini CLI

9.74%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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