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jira-pmJira PM 搜索

Agent Skill

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。

总安装

749

周安装

30

GitHub Stars

25

下载量

242
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:jira-pm(Jira PM 搜索)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/jira-pm
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill jira-pm
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/oimiragieo/agent-studio --skill jira-pm

简介

用于处理 Jira 项目、任务、缺陷、Sprint、负责人和状态流转。

  • 适合辅助查询工单、汇总迭代进展、创建任务或整理需求和缺陷信息。
  • 使用时需确认项目权限、字段配置和工作流规则,不同团队配置可能不同。
  • 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。
  • 安装方式:github,支持 Codex、Claude、Cursor、Gemini CLI。

SKILL.md

Mode: Cognitive/Prompt-Driven - No standalone utility script; use via agent context.

Required:

  • JIRA_URL - Base URL of your Jira instance (e.g., https://yourcompany.atlassian.net)
  • JIRA_API_TOKEN - API token for authentication (generate at Jira Account Settings -> Security -> API Tokens)
  • JIRA_USER_EMAIL - Email address associated with the API token

Optional:

  • JIRA_DEFAULT_PROJECT - Default project key for operations (e.g., PROJ)
  • JIRA_API_VERSION - API version (default: 3)

<tool_categories>

Issues

ToolDescriptionConfirmation Required
searchSearch issues using JQLNo
get-issueGet detailed issue informationNo
create-issueCreate a new issueYes
update-issueUpdate existing issue fieldsYes
transitionChange issue status/workflow stateYes

Projects

ToolDescription
list-projectsList all accessible projects
project-infoGet detailed project information

Sprints

ToolDescription
active-sprintGet currently active sprint for a board
sprint-issuesList all issues in a specific sprint

Comments

ToolDescription
get-commentsRetrieve all comments on an issue
add-commentAdd a comment to an issue

</tool_categories>

<usage_patterns>

Common Workflows

Issue Creation: List projects -> Get project info -> Create issue -> Add comment

Sprint Management: Get active sprint -> List sprint issues -> Update issue status -> Add comments

Issue Search: Use JQL for targeted searches -> Retrieve issue details -> Update issues

</usage_patterns>

<agent_integration>

Primary Agent: planner

  • Use Case: Project backlog management, sprint planning, requirement tracking
  • Common Operations: Create issues, update priorities, manage sprints

Secondary Agent: developer

  • Use Case: Issue tracking during development, status updates
  • Common Operations: Search assigned issues, transition issues, add comments

</agent_integration>

<error_handling>

Common Error Scenarios

  • Authentication Errors: Missing or invalid API token, expired credentials, insufficient permissions
  • Rate Limiting: Too many API requests in short period, implement exponential backoff
  • Invalid Inputs: Non-existent project keys, invalid issue types, invalid transition IDs
  • Network Errors: Connection timeouts, unreachable Jira instance

</error_handling>

<best_practices>

  1. Use JQL Efficiently: Craft precise JQL queries to reduce result sets and API calls
  2. Cache Metadata: Store project keys, issue types, and transitions locally
  3. Verify Before Create: Always verify project and issue type before creating issues
  4. Use Transitions: Respect workflow states when changing issue status
  5. Batch Operations: Group related API calls when possible
  6. Handle Errors Gracefully: Provide clear error messages and recovery suggestions
  7. Respect Rate Limits: Implement backoff strategies for high-volume operations

</best_practices>

<progressive_disclosure>

Context Optimization

  1. Lazy Loading: Only load issue details when explicitly requested
  2. Field Selection: Request only necessary fields from Jira API
  3. Caching: Store frequently accessed metadata (projects, issue types)
  4. Streaming: Not supported - all responses are complete payloads
  5. Pagination: Automatically handle large result sets

Context Savings: 90%+ compared to loading full Jira MCP server </progressive_disclosure>

<api_reference>

Jira REST API Endpoints Used

  • /rest/api/3/search - JQL search
  • /rest/api/3/issue/{issueKey} - Get/update issue
  • /rest/api/3/issue - Create issue
  • /rest/api/3/issue/{issueKey}/transitions - Transition issue
  • /rest/api/3/project - List projects
  • /rest/api/3/project/{projectKey} - Get project details
  • /rest/agile/1.0/board/{boardId}/sprint - Get sprints
  • /rest/agile/1.0/sprint/{sprintId}/issue - Get sprint issues
  • /rest/api/3/issue/{issueKey}/comment - Get/add comments

See https://developer.atlassian.com/cloud/jira/platform/rest/v3/ for full reference. </api_reference>

Iron Laws

  1. ALWAYS verify the project key exists before creating an issue — Jira silently ignores invalid project keys in some API versions, creating orphaned issues or returning cryptic errors.
  2. NEVER use PUT /issue to change status — Jira status changes must go through valid workflow transitions via POST /issue/{key}/transitions; direct field updates bypass workflow validators and automation rules.
  3. ALWAYS use JQL for issue searches rather than fetching all issues and filtering client-side — returning all issues wastes quota and causes timeouts on projects with thousands of tickets.
  4. NEVER create duplicate issues without first searching for existing ones — duplicate tickets fragment tracking, confuse assignees, and produce misleading velocity metrics.
  5. ALWAYS include summary, issuetype, and project fields when creating an issue — these three fields are the minimum required by Jira Cloud REST API v3; missing any produces a 400 error.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Updating status via field PUTBypasses workflow guards; invalid state transitions succeed silently; automation rules don't fireUse POST /issue/{key}/transitions with the correct transition ID
Fetching all issues and filtering locallyTimes out on large projects; wastes API quota; slow for paginated resultsAlways use JQL with specific project/sprint/status filters
Creating issues without duplication checkSplits work tracking; team sees multiple tickets for same taskSearch with JQL (project = X AND summary ~ "keyword") before creating
Hardcoding field IDs (e.g., customfield_10016)Field IDs differ between Jira instances and cloud/server; breaks across projectsDiscover field IDs dynamically via /rest/api/3/field endpoint
No error handling for rate limits (429)Jira Cloud rate limits at ~300 requests/minute; unhandled 429 crashes automationImplement exponential backoff; check Retry-After header on 429 responses

Memory Protocol (MANDATORY)

Before starting: Read.claude/context/memory/learnings.md

After completing:

  • New pattern ->.claude/context/memory/learnings.md
  • Issue found ->.claude/context/memory/issues.md
  • Decision made ->.claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it is not in memory, it did not happen.

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

33.14%
按下载量换算80

Claude

29.78%
按下载量换算72

Cursor

20.04%
按下载量换算48

Gemini CLI

8.92%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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