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Agent Skill · 研究检索

estimate-jira(estimate Jira 搜索)

用于处理 Jira 项目、任务、缺陷、Sprint、负责人和状态流转。它适合让 Agent 辅助查询工单、汇总迭代进展、创建任务或整理需求和缺陷信息。使用时要确认项目权限、字段配置和工作流规则,不同团队的 Issue 类型、状态和必填字段可能不同;涉及批量改状态、改负责人或创建工单时,应先预览变更内容再执行。

estimate-jira 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,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 43,162。

总安装 1,008周安装 42GitHub Stars 450下载 336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
MIT

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:estimate-jira(estimate Jira 搜索)
来源仓库:https://github.com/ag-grid/ag-charts
仓库路径:skills/estimate-jira
安装命令:
npx skills add https://github.com/ag-grid/ag-charts --skill estimate-jira
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/ag-grid/ag-charts --skill estimate-jira

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。

estimate-jira 为 JIRA 工单提供标准化复杂度与工时评估服务。分析 Issue 类型、关联模块与依赖关系生成专业报告。包含风险提示与未知项标注,支持敏捷团队排期规划。需用户提供有效 JIRA URL 与认证凭据方可调用 API。

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/estimate-jira

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/ag-grid/ag-charts --skill estimate-jira;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

    它需要需要联网,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

estimate-jira 怎么安装?

在终端执行 npx skills add https://github.com/ag-grid/ag-charts --skill estimate-jira。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

estimate-jira 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。

estimate-jira 需要什么权限?

权限级别是需要联网。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。

estimate-jira 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

estimate-jira 用的人多吗?

公开数据是累计安装 1,008 次,近一周安装 42 次,下载 336 次,GitHub 450 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。

estimate-jira 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
estimate-jira

estimate Jira 搜索 · 本页

1,008450需要联网MIT通过

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

JIRA Ticket Estimation Skill

This skill provides structured complexity and effort estimation for JIRA tickets, features, or projects. It produces consistent, professional estimation reports that include complexity levels, time estimates, dependency analysis, risk assessment, and identification of unknowns.

When to Use This Skill

Activate this skill when the user requests:

  • "Estimate this JIRA ticket"
  • "Analyze complexity of [ticket/feature]"
  • "What's the effort for this project?"
  • "Size this feature"
  • "How long will this take?"
  • "What are the risks for this work?"

Prerequisites

  • User provides JIRA ticket content (markdown format preferred)
  • Access to repository codebase for dependency analysis
  • Understanding of project architecture (consult tools/prompts/technology-stack.md if needed)

Workflow

Step 0: Load Required Documentation

Read these files FIRST before any analysis:

  1. tools/prompts/guides/jira.md - JIRA quick reference
  2. tools/prompts/technology-stack.md - Architecture constraints and patterns
  3. CLAUDE.md - Repository conventions and build requirements

After reading, confirm you understand:

  • Repository structure and key packages
  • Build and test commands
  • Architectural constraints (e.g., zero runtime dependencies)

Step 1: Gather and Analyze Ticket Information

Complete ALL before proceeding:

  • Receive JIRA ticket content from user (markdown format)
  • Extract key requirements, acceptance criteria, and constraints
  • Identify the primary affected areas (packages/files)
  • Note what information is present vs. missing in the ticket

Initial Analysis Questions:

  • What type of work is this? (bug fix, new feature, refactoring, docs, etc.)
  • Which packages are affected? (community, enterprise, types, website, etc.)
  • Are there related tickets or dependencies mentioned?
  • Is the scope well-defined or vague?

Step 2: Identify Ambiguities and Implementation Choices

CRITICAL: Do NOT proceed to estimation without completing this step.

Analyze for ambiguities in these areas:

  1. Technical Approach

- Are there multiple valid implementation strategies? - Is the desired architecture/pattern specified? - Are performance requirements defined?

  1. Scope Boundaries

- Is the feature scope clearly bounded? - Are edge cases and error handling specified? - Is backward compatibility required?

  1. Integration Points

- How should this integrate with existing systems? - Are framework wrappers (React/Angular/Vue) affected? - Are there public API changes?

  1. Testing & Quality

- What level of test coverage is expected? - Are visual regression tests needed? - Should benchmarks be added/updated?

  1. Documentation

- Is documentation required? - Are examples needed? - Should migration guides be written?

For each significant ambiguity identified:

  • Document the ambiguity clearly
  • List the possible implementation choices
  • Note how each choice impacts time/complexity/risk
  • USE AskUserQuestion tool to get clarification before proceeding

Use the AskUserQuestion tool to present ambiguities:

Present 1-4 ambiguities at once using the AskUserQuestion tool with this structure:

  • question: Clear question about the ambiguity (e.g., "How should the 'xy' mode work visually?")
  • header: Short label (max 12 chars) (e.g., "Dual-axis UI")
  • options: 2-4 implementation choices with:

- label: Concise option name (e.g., "Two Navigators") - description: Impact explanation (e.g., "Show both X-axis (bottom) and Y-axis (right) navigators - 20% more complexity, clearer UI")

  • multiSelect: false (user should pick one approach)

Example usage:

AskUserQuestion({
    questions: [
        {
            question: "How should the 'xy' mode work visually?",
            header: 'Dual-axis UI',
            multiSelect: false,
            options: [
                {
                    label: 'Two Separate Navigators',
                    description:
                        'Show both X-axis (bottom) and Y-axis (right) navigators simultaneously - +20% complexity, clearer UI',
                },
                {
                    label: 'Integrated Navigator',
                    description: 'Single unified UI component - High complexity, unclear UX, needs design work',
                },
                {
                    label: 'Not Supported',
                    description: "Only allow 'x' or 'y', defer 'xy' to future ticket - -30% complexity, simpler scope",
                },
            ],
        },
        {
            question: 'Should Y-axis navigator position be configurable?',
            header: 'Position',
            multiSelect: false,
            options: [
                {
                    label: 'Configurable (left/right)',
                    description:
                        'Add navigator.position option - +10% complexity, flexible but may overlap Y-axis labels',
                },
                {
                    label: 'Right Side Only',
                    description: 'Always on right to avoid conflicts - Baseline complexity, simpler but less flexible',
                },
            ],
        },
    ],
});

After receiving answers:

  • Document the chosen approach in a summary
  • Adjust estimate based on selected options
  • Include decisions in the "Implementation Decisions" section of the report

Step 3: Investigate Codebase Dependencies and Complexity

Use the Explore agent for thorough codebase analysis:

  • Identify all affected files and packages
  • Analyze existing similar implementations for patterns
  • Check for dependencies on other systems/modules
  • Look for related tests that need updating
  • Search for documentation that needs changes

Key Investigation Areas:

  1. Core Implementation

- Where is the main logic located? - How complex is the existing code in that area? - Are there similar features to reference?

  1. Type System

- Will ag-charts-types need updates? - Are there complex type definitions involved? - Will this affect public API surface?

  1. Testing Surface

- How many test files are affected? - Are image snapshots needed? - Will this need E2E tests?

  1. Documentation & Examples

- How many doc pages need updates? - Are new examples required? - Will framework variants be generated?

  1. Build Dependencies

- Which packages need rebuilding? - Are there circular dependency risks? - Will this affect build performance?

Step 4: Generate Structured Estimation Report

Use this exact template for consistency:


Estimation Report: [Ticket ID/Feature Name]

Date: [Current date] Estimator: Claude Code Ticket Summary: [Brief 1-2 sentence summary]


Executive Summary

MetricValue
Total Effort[X-Y days] ([X-Y hours])
Complexity[Low \Medium \High \Very High]
Risk Level[Low \Medium \High]
Confidence[Low \Medium \High]

Key Highlights:

  • [1-2 sentence summary of main implementation work]
  • [Major scope decision or constraint]
  • [Top risk or concern if applicable]

1. Estimated Complexity Level

Overall Complexity: [Low | Medium | High | Very High]

Rationale:

  • [Explanation of complexity drivers]
  • [Why this level was chosen]

Complexity Breakdown:

  • Implementation: [Low/Medium/High]
  • Testing: [Low/Medium/High]
  • Documentation: [Low/Medium/High]
  • Integration: [Low/Medium/High]

2. Estimated Time Effort

Total Estimate: [X-Y days] for a single developer

Confidence Level: [Low | Medium | High]

Breakdown:

  • Investigation & Design: [X hours/days]

- Understanding requirements - Design decisions - Spike work if needed

  • Core Implementation: [X hours/days]

- Primary code changes - Type definitions - Public API updates

  • Testing: [X hours/days]

- Unit tests - E2E tests (if applicable) - Visual regression tests (if applicable) - Benchmark updates (if applicable)

  • Documentation: [X hours/days]

- Doc page updates/creation - Example creation - Migration guides (if applicable)

  • Review & Iteration: [X hours/days]

- Code review feedback - Test failures - Bug fixes

Assumptions:

  • [List key assumptions affecting the estimate]
  • [e.g., "Assuming developer is familiar with canvas rendering"]
  • [e.g., "Assuming no major architectural changes needed"]

3. Dependencies, Gaps & Missing Information

External Dependencies:

  • [List dependencies on other teams/tickets]
  • [Any blocked/blocking items]

Information Gaps:

  • [What's not specified in the ticket]
  • [Questions that remain unanswered]
  • [Areas needing clarification from stakeholders]

Implicit Scope (not explicitly mentioned):

  • [Tasks likely required but not stated]
  • [e.g., "Framework wrapper updates"]
  • [e.g., "Locale string additions"]

Out of Scope (confirm with stakeholder):

  • [Items that might be expected but should be separate]
  • [e.g., "Performance optimization beyond basic implementation"]

4. Top 3 Highest Risk Aspects

Risk #1: [Description]

Category: [Known Unknown | Technical Complexity | Integration Risk | etc.]

Details:

  • [What makes this risky]
  • [Potential impact]

Mitigation:

  • [How to reduce this risk]

Risk #2: [Description]

Category: [Known Unknown | Technical Complexity | Integration Risk | etc.]

Details:

  • [What makes this risky]
  • [Potential impact]

Mitigation:

  • [How to reduce this risk]

Risk #3: [Description]

Category: [Known Unknown | Technical Complexity | Integration Risk | etc.]

Details:

  • [What makes this risky]
  • [Potential impact]

Mitigation:

  • [How to reduce this risk]

5. Overall Risk Level

Risk Assessment: [Low | Medium | High]

Justification:

  • [Overall risk analysis]
  • [Factors contributing to risk level]
  • [Known unknowns summary]

Risk Factors:

  • Technical Risk: [Low/Medium/High] - [Why]
  • Schedule Risk: [Low/Medium/High] - [Why]
  • Integration Risk: [Low/Medium/High] - [Why]
  • Requirement Risk: [Low/Medium/High] - [Why]

Confidence in Estimate:

  • [High/Medium/Low confidence and why]
  • [What would increase confidence]

Recommended Next Steps

  1. [Immediate action item]
  2. [Pre-implementation research needed]
  3. [Stakeholder clarifications required]

Implementation Decisions (Confirmed)

Based on stakeholder clarification on [date]:

  1. [Decision Area 1]: [Chosen approach] ([Option letter])
  2. [Decision Area 2]: [Chosen approach] ([Option letter])
  3. [Decision Area 3]: [Chosen approach] ([Option letter])

*Note: Include this section only if significant implementation choices were clarified during estimation.*


End of Report


Completion Checklist

Cannot mark estimation complete until ALL checked:

  • User provided JIRA ticket content
  • All significant ambiguities identified and clarified with user
  • Codebase investigation completed using Explore agent
  • All sections of estimation report filled out
  • Complexity level justified with rationale
  • Time estimate includes breakdown and assumptions
  • Top 3 risks identified with mitigation strategies
  • Overall risk level assessed
  • Report reviewed for completeness and accuracy

Critical Rules

  1. NEVER skip ambiguity clarification - If implementation choices significantly impact estimates, you MUST ask the user before proceeding using the AskUserQuestion tool. Better to pause for clarification than provide misleading estimates. Present options with their complexity/time impacts clearly described.
  2. Always use AskUserQuestion tool for ambiguities - Do not use ad-hoc text conversation for clarifying implementation choices. Use the structured AskUserQuestion tool to present 1-4 ambiguities at once with clear options and impact descriptions.
  3. Always use Explore agent for codebase analysis - Do not attempt complex codebase navigation manually. The Explore agent is optimized for this task.
  4. Be honest about uncertainty - If confidence is low, say so clearly. Include what information would increase confidence.
  5. Consider the full scope - Don't forget testing, documentation, review iterations, and framework wrappers. These often represent 40-50% of total effort.
  6. Account for unknowns - Known unknowns should increase time estimates and risk levels proportionally.
  7. Use ranges, not point estimates - Give ranges (e.g., "3-5 days") to reflect uncertainty, especially for complex work.
  8. Document assumptions explicitly - Every estimate is based on assumptions. State them clearly so they can be validated.

Failure Handling

Problem: Insufficient ticket information

Solution:

  • Request more details from user
  • List specific information needed
  • Provide estimate with large uncertainty range if user cannot provide more details

Problem: Cannot find relevant code areas

Solution:

  • Use Explore agent with broader search patterns
  • Ask user for hints about where code might be located
  • Document this as a "known unknown" in the report

Problem: Multiple valid implementation approaches with vastly different complexity

Solution:

  • Use the AskUserQuestion tool to present each approach as an option
  • Include complexity/time impact in each option's description
  • Provide recommendation in one option's description if applicable
  • Let user select their preferred approach through the structured interface
  • Document chosen approach in the "Implementation Decisions" section

Problem: Estimate exceeds reasonable time (e.g., >2 weeks for single person)

Solution:

  • Consider if work should be broken into multiple tickets
  • Highlight this in the risk assessment
  • Recommend creating sub-tasks or phases
  • Discuss with user about scope reduction options

Estimation Calibration Data Points

Use these baseline estimates for common AG Charts work items:

Series Implementation

  • New series type (extending AbstractBarSeries, CartesianSeries, etc.): 10 days / 2 weeks

- Includes: Core implementation, type definitions, rendering logic, theme integration - Includes: Unit tests, visual regression tests, documentation page, framework examples - Examples: Overlapping bar/column series, timeline series, quadrant chart - Does NOT include: Highly complex rendering algorithms, advanced interactions beyond standard

Annotation Implementation

  • New annotation type: 15-20 days (3-4 weeks)

- Includes: Core annotation class, rendering, drag/resize interactions, type definitions - Includes: Comprehensive testing (unit, E2E, visual regression), documentation, examples - Examples: Text annotations, shape annotations, measurement tools - Complexity drivers: Drag/drop interactions, resize handles, connection points, styling system

Other Common Work Items

  • Simple bug fix (isolated, clear root cause): 0.5-1 day
  • Complex bug fix (requires investigation, multiple areas): 2-3 days
  • New chart option (simple property, minimal logic): 1-2 days
  • Event/callback addition: 2-4 days (depending on complexity)
  • Performance optimization: 3-5 days (investigation + implementation)
  • Breaking API change: Add 20-30% for migration guide, backward compatibility testing

Adjustment Guidelines:

  • Add 20-30% if implementation requires deep integration with multiple systems
  • Add 30-50% if feature has significant unknowns or unclear requirements
  • Add 40-60% for enterprise features requiring licensing checks, advanced theming
  • Reduce by 20-30% only if leveraging substantial existing infrastructure with minimal changes

Related Documentation

Example Usage

When the user says:

  • "Estimate AG-12345"
  • "How complex is this feature?"
  • "Size this ticket for me"
  • "What's the effort for implementing [feature]?"
  • "Analyze the risks for this work"

This skill will:

  1. Request the JIRA ticket content (if not already provided)
  2. Analyze the requirements and identify ambiguities
  3. Clarify implementation choices with you
  4. Investigate the codebase thoroughly
  5. Generate a comprehensive estimation report with all requested sections
  6. Highlight risks, unknowns, and areas of complexity

The output will always follow the structured report format to ensure consistency across all estimates.

平台分布

Cursor

29.26%
按下载量换算98

github-copilot

22.16%
按下载量换算74

Claude Code

15.65%
按下载量换算53

kilo

12.66%
按下载量换算43

windsurf

7.52%
按下载量换算25

zencoder

3.12%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

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。

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