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Agent Skill · 研究检索

review-draft-story(审查故事草稿)

review-draft-story 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。

review-draft-story 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,权限为执行命令;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 52,782。

总安装 546周安装 23GitHub Stars 公开资料未说明下载 191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:review-draft-story(审查故事草稿)
来源仓库:https://github.com/michael-menard/monorepo
仓库路径:skills/review-draft-story
安装命令:
npx skills add https://github.com/michael-menard/monorepo --skill review-draft-story
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/michael-menard/monorepo --skill review-draft-story

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。

review-draft-story 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。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,注意是否触发联网或文件操作。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/review-draft-story

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/michael-menard/monorepo --skill review-draft-s…;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

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

review-draft-story 怎么安装?

在终端执行 npx skills add https://github.com/michael-menard/monorepo --skill review-draft-story。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

review-draft-story 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。

review-draft-story 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/michael-menard/monorepo --skill review-draft-story 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

review-draft-story 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。

review-draft-story 用的人多吗?

公开数据是累计安装 546 次,近一周安装 23 次,下载 191 次。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。

review-draft-story 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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
review-draft-story

审查故事草稿 · 本页

546—执行命令未明确有提醒

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

/review-draft-story - Draft Story Review

Description

Full-spectrum story review using parallel specialist sub-agents BEFORE implementation begins. Each specialist reviews from their domain perspective, findings are aggregated, and a final readiness decision is produced.

Key Features:

  • Parallel specialist sub-agents (PM, UX, SM/Checklist)
  • Product requirements completeness validation
  • UX/UI specification review
  • Implementation readiness assessment
  • Consolidated feedback and recommendations
  • GO/NO-GO decision with actionable fixes

Usage

# Review a specific story
/review-draft-story 2002

# Review a story by file path
/review-draft-story docs/stories/epic-6-wishlist/wish-2002-add-item-flow.md

# Quick review (skip deep analysis)
/review-draft-story 2002 --quick

# Focus on specific aspect
/review-draft-story 2002 --focus=ux

# Skip PM review (no product context available)
/review-draft-story 2002 --skip-pm

Parameters

  • story - Story number (e.g., 2002) or full path to story file
  • --quick - Run lightweight review, skip deep specialists
  • --focus - Focus on specific aspect: pm, ux, or sm
  • --skip-pm - Skip PM review if no PRD/epic context
  • --skip-ux - Skip UX review if no UI in this story

EXECUTION INSTRUCTIONS

CRITICAL: Use Task tool to spawn parallel sub-agents. Use TodoWrite to track progress.


Context Optimization Strategy

To minimize context consumption:

  1. Don't load epic/architecture content into parent - only get file paths
  2. Pass file paths to sub-agents - let them read files directly
  3. Use concise YAML output - only report issues, not all sections
  4. SM checklist: reference file - don't duplicate all items in prompt
  5. Use Haiku for sub-agents - faster and cheaper

Impact: Reduces parent context by 60-80% for stories with large epic/architecture docs.


Phase 0: Initialize & Gather Context

TodoWrite([
  { content: "Gather story context", status: "in_progress", activeForm: "Gathering context" },
  { content: "Spawn specialist sub-agents", status: "pending", activeForm: "Spawning specialists" },
  { content: "Collect specialist feedback", status: "pending", activeForm: "Collecting feedback" },
  { content: "Aggregate findings", status: "pending", activeForm: "Aggregating findings" },
  { content: "Generate review report", status: "pending", activeForm: "Generating report" }
])

Gather context:

  1. Load .bmad-core/core-config.yaml for story locations and patterns
  2. Locate the story file path:

- If number provided: Search in docs/stories/ for matching file - If path provided: Use directly

  1. Read story file and extract:

- Title and description - Acceptance criteria - Tasks/subtasks - Dev Notes section - Testing section - Referenced files/architecture paths (just paths, not content)

  1. Get parent epic FILE PATH if referenced (don't read content)
  2. Get architecture doc FILE PATHS if referenced (don't read content)
  3. Determine if story has UI components (affects UX review)

OPTIMIZATION: Don't load epic/architecture content into parent context - pass file paths to sub-agents

Skip Logic:

  • Skip UX review if story has no UI components (API-only, backend, migrations)
  • Skip PM review if --skip-pm or no epic/PRD context available

Phase 1: Spawn Specialist Sub-Agents

CRITICAL: Spawn all applicable specialists in parallel using run_in_background: true

1.1 Product Manager (PM) Specialist

Task(
  subagent_type: "general-purpose",
  model: "haiku",
  description: "PM story review",
  run_in_background: true,
  prompt: "You are John, an experienced Product Manager reviewing a story draft.

           Story file path: {STORY_FILE_PATH}
           Epic file path: {EPIC_FILE_PATH or 'Not provided'}

           IMPORTANT: Read the story file. If epic path provided, read it for context.

           Review the story from a PRODUCT perspective:

           1. **Requirements Clarity**
              - Are requirements clearly defined and unambiguous?
              - Is the 'why' (business value) clearly articulated?
              - Are success metrics or outcomes defined?

           2. **Scope Appropriateness**
              - Is the scope right-sized for a single story?
              - Are there scope creep risks?
              - Should this be split into multiple stories?

           3. **User Value**
              - Is user value clearly identified?
              - Does the story solve a real user problem?
              - Is the user persona/context clear?

           4. **Acceptance Criteria Quality**
              - Are ACs testable and measurable?
              - Do ACs cover happy path AND edge cases?
              - Are ACs written from user perspective (not technical)?

           5. **Dependencies & Sequencing**
              - Are dependencies clearly identified?
              - Is this story properly sequenced in the epic?
              - Are there hidden dependencies?

           6. **Risk Identification**
              - Are potential risks called out?
              - Are there business/compliance considerations?
              - Is there fallback behavior defined?

           Output format (ONLY include sections with issues):

pm_review: overall_assessment: READY|NEEDS_WORK|BLOCKED confidence: high|medium|low

issues: - category: requirements_clarity|scope|user_value|acceptance_criteria|dependencies|risks severity: blocking|should_fix|note issue: 'Clear description' suggestion: 'How to fix'

summary: 'Brief 1-2 sentence assessment'


           NOTE: Only list actual issues. Omit categories with no concerns."
)

1.2 UX Expert Specialist

Task(
  subagent_type: "general-purpose",
  model: "haiku",
  description: "UX story review",
  run_in_background: true,
  prompt: "You are Sally, an experienced UX Expert reviewing a story draft.

           Story file path: {STORY_FILE_PATH}
           Architecture file paths: {ARCHITECTURE_FILE_PATHS or 'Not provided'}

           IMPORTANT: Read the story file. If architecture paths provided, read them for context.

           Review the story from a UX/UI perspective:

           1. **User Flow Clarity**
              - Is the user journey clearly described?
              - Are entry/exit points defined?
              - Is the happy path obvious?

           2. **Interaction Design**
              - Are user interactions specified?
              - Are click/tap targets and gestures defined?
              - Is feedback for user actions specified?

           3. **Visual Specifications**
              - Are layout requirements clear?
              - Is component placement described?
              - Are spacing/sizing considerations mentioned?

           4. **State Handling**
              - Are loading states defined?
              - Are error states and messages specified?
              - Are empty states considered?
              - Is disabled state behavior clear?

           5. **Accessibility Considerations**
              - Are a11y requirements mentioned?
              - Is keyboard navigation considered?
              - Are screen reader needs addressed?

           6. **Responsive Design**
              - Are mobile/tablet considerations mentioned?
              - Are breakpoint behaviors defined?
              - Is touch vs mouse interaction considered?

           7. **Component Reusability**
              - Can existing components be reused?
              - Are new components clearly specified?
              - Is design system alignment mentioned?

           Output format (ONLY include sections with issues):

ux_review: overall_assessment: READY|NEEDS_WORK|BLOCKED confidence: high|medium|low ui_complexity: low|medium|high

issues: - category: user_flow|interaction|visual|states|accessibility|responsive|components severity: blocking|should_fix|note issue: 'Clear description' suggestion: 'How to fix'

summary: 'Brief 1-2 sentence assessment'


           NOTE: Only list actual issues. Omit categories with no concerns."
)

1.3 Scrum Master / Implementation Readiness Specialist

This sub-agent executes the formal Story Draft Checklist (.bmad-core/checklists/story-draft-checklist.md)

Task(
  subagent_type: "general-purpose",
  model: "haiku",
  description: "SM checklist review",
  run_in_background: true,
  prompt: "You are Bob, a Scrum Master executing the Story Draft Checklist.

           Story file path: {STORY_FILE_PATH}
           Checklist file path: .bmad-core/checklists/story-draft-checklist.md

           IMPORTANT:
           1. Read the story file
           2. Read the checklist file
           3. Execute each checklist item systematically
           4. For each item, mark: [x] PASS, [~] PARTIAL, [ ] FAIL
           5. Identify blocking vs should_fix vs note issues

           Output format (ONLY include actual issues):

sm_review: overall_assessment: READY|NEEDS_REVISION|BLOCKED clarity_score: 1-10 could_implement: true|false

issues: - category: goal_clarity|technical_guidance|references|self_containment|testing severity: blocking|should_fix|note issue: 'Clear description of what''s missing or unclear' suggestion: 'How to fix'

developer_questions: - 'Question a dev would have'

summary: 'Brief 1-2 sentence assessment from dev perspective'


           NOTE: Only list actual issues. If everything passes, issues array should be empty."
)

Phase 2: Collect Results

Wait for all specialists to complete:

results = {
  pm: TaskOutput(task_id: "{pm_id}", block: true),
  ux: TaskOutput(task_id: "{ux_id}", block: true),
  sm: TaskOutput(task_id: "{sm_id}", block: true)
}

Phase 3: Synthesize Concerns

Parent orchestrator extracts and synthesizes all sub-agent findings into a unified concerns list:

concerns:
  - id: 1
    source: pm|ux|sm
    severity: blocking|should_fix|note
    category: requirements|scope|ux|technical|testing|etc
    concern: "Clear description of the issue"
    suggestion: "How to address it"

Severity Levels:

  • blocking: Must fix before story can proceed
  • should_fix: Important issue that should be addressed
  • note: Minor observation, nice-to-have improvement

Synthesis Rules (MUCH SIMPLER NOW):

  1. Parse YAML output from each sub-agent
  2. Concatenate all issues arrays from PM, UX, and SM
  3. Add sequential IDs and source labels
  4. Sort by severity (blocking → should_fix → note)
  5. Deduplicate if needed (keep highest severity)

Example:

all_issues = pm_review.issues + ux_review.issues + sm_review.issues
concerns = [
  {id: i+1, source: issue.source, **issue}
  for i, issue in enumerate(sorted(all_issues, key=lambda x: severity_rank[x.severity]))
]

Phase 4: Decision & Action

Decision Logic:

blocking_count = len([c for c in concerns if c.severity == 'blocking'])
should_fix_count = len([c for c in concerns if c.severity == 'should_fix'])

if blocking_count > 0:
    decision = 'FAIL'
    action = 'APPEND_CONCERNS_TO_STORY'
elif should_fix_count > 0:
    decision = 'CONCERNS'
    action = 'APPEND_CONCERNS_TO_STORY'
else:
    decision = 'PASS'
    action = 'APPROVE_STORY'  # or MERGE_PR if post-implementation

Path A: FAIL or CONCERNS → Append to Story

Append concerns section to story file:

## Review Concerns

> **Review Date:** {ISO-8601}
> **Reviewed By:** PM (John), UX (Sally), SM (Bob)
> **Decision:** {FAIL|CONCERNS}

### Blocking Issues

- **[1] PM - requirements:** User value not clearly articulated
  - *Suggestion:* Add explicit user benefit statement to story description

- **[2] SM - testing:** No test scenarios defined for error cases
  - *Suggestion:* Add error handling test cases to Testing section

### Should-Fix Issues

- **[3] UX - states:** Loading state not specified
  - *Suggestion:* Define skeleton/spinner behavior during data fetch

### Notes

- **[4] PM - scope:** Consider splitting into two stories if complexity grows

---

Update story status:

# In story frontmatter or status field:
status: Draft → Needs Revision  # if FAIL
status: Draft → Conditional     # if CONCERNS (can proceed with awareness)

Path B: PASS (No Concerns) → Auto-Approve/Merge

When all sub-agents return zero blocking or should_fix concerns:

For Draft Story Review (pre-implementation):
  1. Update story status to Approved: status: Draft → Approved
  2. Add approval stamp to story: ## Review Approval > **Review Date:** {ISO-8601} > **Reviewed By:** PM (John), UX (Sally), SM (Bob) > **Decision:** APPROVED All review criteria passed. Story is ready for implementation. ---
  3. Report success and next step: ✓ APPROVED - Ready for /implement {story_id}
For PR Review (post-implementation):
  1. Merge the PR: gh pr merge {PR_NUMBER} --squash --delete-branch
  2. Update story status to Done: status: In Review → Done
  3. Archive the story: mv docs/stories/{epic}/{story}.md docs/_archive/completed-stories/
  4. Close associated GitHub issue (if any): gh issue close {ISSUE_NUMBER} --comment "Completed and merged in PR #{PR_NUMBER}"

Phase 5: Report to User

════════════════════════════════════════════════════════════════════
  Story Review: {STORY_ID} - {STORY_TITLE}
════════════════════════════════════════════════════════════════════

SPECIALIST RESULTS
──────────────────────────────────────────────────────────────────────
  PM (John):      {PASS|CONCERNS} - {1-line summary}
  UX (Sally):     {PASS|CONCERNS|SKIPPED} - {1-line summary}
  SM (Bob):       {PASS|CONCERNS} - {1-line summary}

──────────────────────────────────────────────────────────────────────
  DECISION:       {PASS|CONCERNS|FAIL}
  CONCERNS:       {N} total ({blocking} blocking, {should_fix} should-fix)
──────────────────────────────────────────────────────────────────────

{If concerns > 0:}
CONCERNS LIST
  1. [{severity}] {source}: {concern}
     → {suggestion}
  2. ...

ACTION TAKEN
  {If PASS - draft:}    Story approved. Status: Draft → Approved
  {If PASS - PR:}       PR #{N} merged. Story archived. Status: Done
  {If CONCERNS/FAIL:}   Concerns appended to story. Status: Needs Revision

NEXT STEPS
  {If PASS:}            → /implement {story_id}
  {If CONCERNS/FAIL:}   → Address concerns, then re-run /review-draft-story

════════════════════════════════════════════════════════════════════

Sub-Agent Architecture

Main Orchestrator (/review-draft-story)
    │
    ├─▶ Phase 0: Context Gathering (inline)
    │   ├── Load story file
    │   ├── Load epic context (if available)
    │   ├── Detect if PR exists (post-impl review)
    │   └── Determine applicable reviews (skip UX for API-only, etc.)
    │
    ├─▶ Phase 1: Specialist Sub-Agents (parallel, haiku, run_in_background)
    │   ├── PM (John) - product/requirements perspective
    │   ├── UX (Sally) - design/interaction perspective
    │   └── SM (Bob) - checklist execution
    │
    ├─▶ Phase 2: Collect Results (blocking wait for all)
    │
    ├─▶ Phase 3: Synthesize Concerns (inline)
    │   ├── Parse each sub-agent's YAML output
    │   ├── Extract issues as concerns
    │   ├── Deduplicate and sort by severity
    │   └── Build unified concerns list
    │
    ├─▶ Phase 4: Decision & Action (inline)
    │   ├── IF no concerns → PASS → approve/merge
    │   └── IF concerns → FAIL/CONCERNS → append to story
    │
    └─▶ Phase 5: Report (inline)

Concern Categories

SourceCategories
PMrequirements, scope, user_value, acceptance_criteria, dependencies, risks
UXuser_flow, interaction, visual, states, accessibility, responsive, components
SMgoal_clarity, technical_guidance, references, self_containment, testing, tasks

Usage Modes

Draft Story Review (pre-implementation)

/review-draft-story 2002
  • Reviews story before coding begins
  • PASS → status becomes "Approved", ready for /implement
  • CONCERNS/FAIL → concerns appended, status becomes "Needs Revision"

PR Review (post-implementation)

/review-draft-story 2002 --pr
  • Reviews story after implementation, with associated PR
  • PASS → PR merged, story archived, status becomes "Done"
  • CONCERNS/FAIL → concerns appended, PR remains open

Quick Review

/review-draft-story 2002 --quick
  • Lightweight review, skips deep analysis
  • Good for simple stories or re-reviews after fixes

Skip Specific Reviewers

/review-draft-story 2002 --skip-ux    # API-only story
/review-draft-story 2002 --skip-pm    # No PRD context available

Integration with BMAD Workflow

┌─────────────────────────────────────────────────────────────────┐
│                    BMAD Story Lifecycle                         │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  1. /sm *draft              Create story                        │
│         ↓                                                       │
│  2. /review-draft-story     ← THIS SKILL (pre-impl)             │
│         ↓                                                       │
│     ┌───┴───┐                                                   │
│   PASS    FAIL/CONCERNS                                         │
│     ↓         ↓                                                 │
│  Approved   Fix & Re-review                                     │
│     ↓                                                           │
│  3. /implement {story}      Code the story                      │
│         ↓                                                       │
│  4. /review-draft-story --pr  ← THIS SKILL (post-impl)          │
│         ↓                                                       │
│     ┌───┴───┐                                                   │
│   PASS    CONCERNS                                              │
│     ↓         ↓                                                 │
│  Merged    Fix & Re-review                                      │
│  & Done                                                         │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

平台分布

Codex

34.33%
按下载量换算66

Claude

28.49%
按下载量换算54

Cursor

18.97%
按下载量换算36

Gemini CLI

10.08%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/michael-menard/monorepo --skill review-draft-story 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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