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storystory 搜索

Agent Skill

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。

总安装

774

周安装

31

GitHub Stars

公开资料未说明

下载量

250
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

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:story(story 搜索)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/story
安装命令:
npx skills add duc01226/easyplatform --skill "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。

AgentSkills.tonpx skills
npx skills add duc01226/easyplatform --skill "story"

简介

story 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位内容。

  • 支持根据关键词或任务场景筛选候选结果,提升信息获取效率。
  • 通过 npx 命令从 GitHub 仓库安装,需参考原始 README 了解细节。
  • 安装前应检查权限、维护状态及是否涉及网络或系统调用。
  • story 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

User Story Creation

Break Product Backlog Items into implementable user stories using vertical slicing and SPIDR patterns.


When to Use

  • PBI ready for story breakdown
  • Feature needs vertical slicing
  • Creating sprint-ready work items
  • Story too large (effort >8)

Quick Reference

Workflow

  1. Read PBI artifact and acceptance criteria
  2. Load domain context (if BravoSUITE module detected)
  3. Identify vertical slices (end-to-end functionality)
  4. Apply SPIDR splitting if stories too large
  5. Apply INVEST criteria to each story
  6. Create user stories with GIVEN/WHEN/THEN (min 3 scenarios)
  7. Save to team-artifacts/pbis/stories/
  8. Validate stories (MANDATORY) - Interview user to confirm slicing, acceptance criteria, and effort
  9. Suggest next: /test-spec or /design-spec

Output

  • Path: team-artifacts/pbis/stories/{YYMMDD}-us-{pbi-slug}.md
  • Format: Single file with all stories (use ## headers per story)

BravoSUITE Domain Context Loading

When slicing domain-related PBIs, automatically load business context.

Step 1: Detect Module

From PBI frontmatter:

  1. Check module field
  2. If missing, detect from keywords:

- bravoTALENTS: candidate, job, interview, recruitment, CV, applicant - bravoGROWTH: goal, kudos, performance, check-in, timesheet - bravoSURVEYS: survey, question, response, distribution - bravoINSIGHTS: dashboard, report, analytics

Step 2: Load Feature Context

Glob("docs/business-features/{module}/detailed-features/*.md")
  1. Read module README (first 200 lines)
  2. Identify related feature from related_features list
  3. Extract existing business rules (BR-{MOD}-XXX)
  4. Note entity names from feature docs

Step 3: Apply Domain Vocabulary

ModuleCorrect TermAvoid
bravoTALENTSCandidateApplicant
bravoTALENTSJobApplicationApplication
bravoGROWTHGoalObjective
bravoGROWTHEmployeeUser, Staff
bravoSURVEYSSurveyForm, Questionnaire

Step 4: Include in Story

## Domain Context

**Module:** {detected module}
**Feature:** {related feature}
**Entities:** {Entity1}, {Entity2}
**Business Rules:** BR-{MOD}-XXX (from feature docs)

INVEST Criteria

CriterionDefinitionValidation Question
IndependentNo dependencies on other storiesCan this be developed in any order?
NegotiableDetails can changeIs the "how" open for discussion?
ValuableDelivers user valueDoes user get observable benefit?
EstimableCan estimate effortCan team size this?
SmallCompletable in sprintEffort ≤8? (prefer ≤5)
TestableClear acceptance criteriaCan we write pass/fail tests?

SPIDR Splitting Checklist

When to apply: Story effort >8 MUST split. Effort >5 SHOULD split.

PatternQuestionSplit Strategy
SpikeUnknown complexity?Create research spike first, then stories
PathsMultiple workflow branches?One story per path/choice
InterfacesMultiple UIs or APIs?One story per interface
DataMultiple data formats/types?One story per data variation
RulesMultiple business rules?One story per rule variation

Splitting Examples

Paths: "User can pay by card OR PayPal" → Story A: Card payment, Story B: PayPal payment

Data: "Import CSV, Excel, JSON" → Story A: CSV import, Story B: Excel import, Story C: JSON import

Rules: "Different approval flows by amount" → Story A: <$1000 auto-approve, Story B: >$1000 manager approval

Size Validation

Effort 1-5:  ✅ Good size
Effort 6-8:  ⚠️ Consider splitting (apply SPIDR)
Effort >8:   ❌ MUST split (apply SPIDR, repeat until ≤8)

Scenario Templates

Minimum 3 scenarios per story:

1. Happy Path (Positive)

Scenario: User successfully {completes action}
  Given {user has required permissions/state}
  And {required data exists}
  When user {performs valid action}
  Then {primary expected outcome}
  And {secondary verification if needed}

2. Edge Case (Boundary)

Scenario: System handles {boundary condition}
  Given {edge state: empty list, max items, zero value}
  When user {attempts action at boundary}
  Then {appropriate handling: pagination, warning, default}

3. Error Case (Negative)

Scenario: System prevents {invalid action}
  Given {precondition}
  When user {provides invalid input OR unauthorized action}
  Then error message "{specific error message}"
  And {system remains in valid state}
  And {no partial changes saved}

Additional Scenario Types

Security: Unauthorized access attempt Performance: Response time under load Concurrency: Simultaneous user actions Integration: External service unavailable


Story Artifact Template

---
id: US-{YYMMDD}-{NNN}
parent_pbi: "{PBI-ID}"
title: "{Brief story title}"
persona: "{User persona}"
priority: P1 | P2 | P3
effort: 1 | 2 | 3 | 5 | 8
status: draft | ready | in_progress | done
module: "{bravoTALENTS | bravoGROWTH | bravoSURVEYS | bravoINSIGHTS}"
---

# User Stories for {PBI Title}

## Story 1: {Title}

**As a** {user role}
**I want** {goal}
**So that** {benefit}

### Acceptance Criteria

#### Scenario 1: {Happy path title}

Given {context} When {action} Then {outcome}


#### Scenario 2: {Edge case title}

Given {edge state} When {action} Then {handling}


#### Scenario 3: {Error case title}

Given {context} When {invalid action} Then error "{message}"


---

## Story 2: {Title}

{Repeat structure...}

---

## Out of Scope

- {Explicitly excluded items}

## Dependencies

- **Upstream:** {What must be done first}
- **Downstream:** {What depends on this}

## Domain Context

**Module:** {module} **Related Feature:** {feature doc path} **Entities:** {Entity1}, {Entity2} **Business Rules:** {BR-XXX references}

## Technical Notes

- {Implementation hints if needed}

## Validation Summary

**Validated:** {date}

### Confirmed

- {decision}: {user choice}

### Action Items

- {follow-up if any}

Anti-Patterns to Avoid

Anti-PatternProblemCorrect Approach
Horizontal slicing"Backend story" + "Frontend story" = delays valueVertical slice: thin end-to-end functionality
Single scenarioMissing edge/error casesMinimum 3 scenarios: happy, edge, error
Vague criteria"Fast", "user-friendly" untestableQuantify: "< 200ms", "≤ 3 clicks"
Solution-speak"Use Redis cache" constrains teamOutcome: "Results return within 200ms"
Effort >8Won't fit sprint, hard to estimateApply SPIDR, split until ≤8
No error scenarioMissing negative test coverageAlways include invalid input handling
Generic persona"As a user" too vagueSpecific: "As a hiring manager"

Quality Checklist

Before completing user stories:

  • [ ] Each story follows "As a... I want... So that..." format
  • [ ] SPIDR splitting applied (effort ≤8, prefer ≤5)
  • [ ] At least 3 scenarios per story: happy, edge, error
  • [ ] All scenarios use GIVEN/WHEN/THEN format
  • [ ] Effort estimated in Fibonacci (1, 2, 3, 5, 8)
  • [ ] Stories independent (can develop in any order)
  • [ ] Out of scope explicitly listed
  • [ ] Dependencies identified (upstream/downstream)
  • [ ] Parent PBI linked in frontmatter
  • [ ] Domain vocabulary used correctly (if BravoSUITE)
  • [ ] Validation interview completed

Validation Step (MANDATORY)

After creating user stories, validate with user.

Question Categories

CategoryExample Question
Slicing"Are the story slices independent enough?"
Size"Any story >8 effort that needs further splitting?"
Scenarios"Any acceptance criteria missing for edge cases?"
Dependencies"Are there hidden dependencies between stories?"
Scope"Should anything be explicitly excluded?"

Process

  1. Generate 2-4 questions focused on slicing quality, scenarios, and dependencies
  2. Use AskUserQuestion tool to interview
  3. Document in story artifact under ## Validation Summary
  4. Update stories based on answers (split if needed)

This step is NOT optional.


Related

TypeReference
Role Skillbusiness-analyst
Command/story
Input/refine output (PBI)
Next Steps/test-spec, /design-spec, /prioritize

Triggers

Activates on: story, user story, user stories, slice, slicing, split story, breakdown


Task Management Protocol: - Always plan and break work into many small todo tasks - Always add a final review todo task to verify work quality and identify fixes/enhancements

适合场景

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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

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

30.18%
按下载量换算75

windsurf

21.79%
按下载量换算54

OpenCode

19.27%
按下载量换算48

Codex

12.87%
按下载量换算32

Antigravity

7.71%
按下载量换算19

Gemini CLI

3.47%
按下载量换算9

安全审计

暂无安全审计结果可展示。

权限和风险

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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

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