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atlassianapiatlassianapi 搜索

Agent Skill

atlassianapi 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

1,285

周安装

53

GitHub Stars

11

下载量

420
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

3

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:atlassianapi(atlassianapi 搜索)
来源仓库:https://github.com/lobbi-docs/claude
仓库路径:skills/atlassianapi
安装命令:
npx skills add https://github.com/lobbi-docs/claude --skill atlassianapi
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/lobbi-docs/claude --skill atlassianapi

简介

atlassianapi 为 Golden Armada AI 平台提供标准化的 Jira 和 Confluence API 集成能力。

  • 它封装了认证、请求构造、响应解析等通用逻辑,简化跨平台同步开发工作量。
  • 使用时需传入 domain、email 和 API token,自动拼接 base URL 并处理 JSON 格式交互。
  • 所有操作都应符合 Atlassian 速率限制,避免因频繁调用被临时封禁 IP。
  • 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。

SKILL.md

Atlassian API Skill

Provides comprehensive Atlassian API integration capabilities for the Golden Armada AI Agent Fleet Platform.

When to Use This Skill

Activate this skill when working with:

  • Jira REST API integration
  • Confluence REST API integration
  • Atlassian webhooks
  • Automation and scripting
  • Cross-platform synchronization

Authentication

API Token (Cloud)


auth = HTTPBasicAuth('[email@example.com](https://github.com/lobbi-docs/claude/blob/HEAD/.claude/skills/atlassian-api/mailto:email@example.com)', 'API_TOKEN') headers = {'Accept': 'application/json', 'Content-Type': 'application/json'}

base_url = '[https://your-domain.atlassian.net](https://your-domain.atlassian.net)' ```

### Python Client Library

jira = Jira(url='https://your-domain.atlassian.net', username='email@example.com', password='API_TOKEN', cloud=True)

confluence = Confluence(url='https://your-domain.atlassian.net', username='email@example.com', password='API_TOKEN', cloud=True) ```

Jira REST API

Issues


# Create issue

response = requests.post(f'{base_url}/rest/api/3/issue', auth=auth, headers=headers, json={'fields': {'project': {'key': 'GA'}, 'summary': 'Implement agent monitoring', 'description': {'type': 'doc', 'version': 1, 'content': [{'type': 'paragraph', 'content': [{'type': 'text', 'text': 'Description text'}]}]}, 'issuetype': {'name': 'Story'}, 'priority': {'name': 'High'}, 'labels': ['backend', 'monitoring']}})

# Get issue

response = requests.get(f'{base_url}/rest/api/3/issue/GA-123', auth=auth, headers=headers) issue = response.json()

# Update issue

response = requests.put(f'{base_url}/rest/api/3/issue/GA-123', auth=auth, headers=headers, json={'fields': {'summary': 'Updated summary'}})

# Transition issue

# First, get available transitions

transitions = requests.get(f'{base_url}/rest/api/3/issue/GA-123/transitions', auth=auth, headers=headers).json()

# Then transition

requests.post(f'{base_url}/rest/api/3/issue/GA-123/transitions', auth=auth, headers=headers, json={'transition': {'id': '31'}} # ID from available transitions)

# Add comment

requests.post(f'{base_url}/rest/api/3/issue/GA-123/comment', auth=auth, headers=headers, json={'body': {'type': 'doc', 'version': 1, 'content': [{'type': 'paragraph', 'content': [{'type': 'text', 'text': 'Comment text'}]}]}}) ```

### JQL Search

Search issues

jql = 'project = GA AND status = "In Progress" ORDER BY created DESC' response = requests.get(f'{base_url}/rest/api/3/search', auth=auth, headers=headers, params={'jql': jql, 'maxResults': 50, 'fields': 'summary,status,assignee,priority'}) results = response.json()

for issue in results['issues']: print(f"{issue['key']}: {issue['fields']['summary']}") ```

Sprints and Boards


# Get boards

boards = requests.get(f'{base_url}/rest/agile/1.0/board', auth=auth, headers=headers).json()

# Get sprints for a board

board_id = 1 sprints = requests.get(f'{base_url}/rest/agile/1.0/board/{board_id}/sprint', auth=auth, headers=headers).json()

# Get issues in sprint

sprint_id = 10 issues = requests.get(f'{base_url}/rest/agile/1.0/sprint/{sprint_id}/issue', auth=auth, headers=headers).json()

# Move issues to sprint

requests.post(f'{base_url}/rest/agile/1.0/sprint/{sprint_id}/issue', auth=auth, headers=headers, json={'issues': ['GA-123', 'GA-124']}) ```

## Confluence REST API

### Pages

Create page

response = requests.post(f'{base_url}/wiki/rest/api/content', auth=auth, headers=headers, json={'type': 'page', 'title': 'Agent Architecture', 'space': {'key': 'GA'}, 'body': {'storage': {'value': 'OverviewContent here...', 'representation': 'storage'}}})

Get page

page = requests.get(f'{base_url}/wiki/rest/api/content/12345', auth=auth, headers=headers, params={'expand': 'body.storage,version'}).json()

Update page

requests.put(f'{base_url}/wiki/rest/api/content/12345', auth=auth, headers=headers, json={'type': 'page', 'title': 'Updated Title', 'body': {'storage': {'value': 'Updated Content', 'representation': 'storage'}}, 'version': {'number': page['version']['number'] + 1}})

Search pages

results = requests.get(f'{base_url}/wiki/rest/api/content/search', auth=auth, headers=headers, params={'cql': 'space = GA AND text ~ "agent"'}).json() ```

Webhooks

Jira Webhook Handler


app = Flask(**name**)

@app.route('/webhooks/jira', methods=['POST']) def handle_jira_webhook(): event = request.json event_type = event.get('webhookEvent')

if event_type == 'jira:issue_created': issue = event['issue'] handle_issue_created(issue) elif event_type == 'jira:issue_updated': issue = event['issue'] changelog = event.get('changelog', {}) handle_issue_updated(issue, changelog) elif event_type == 'sprint_started': sprint = event['sprint'] handle_sprint_started(sprint)

return {'status': 'ok'}


def handle_issue_created(issue): print(f"Issue created: {issue['key']}")

def handle_issue_updated(issue, changelog): for item in changelog.get('items', []): if item['field'] == 'status': print(f"Issue {issue['key']} status changed: {item['fromString']} -> {item['toString']}") ```

### Register Webhook

Register Jira webhook

webhook = requests.post(f'{base_url}/rest/webhooks/1.0/webhook', auth=auth, headers=headers, json={'name': 'Golden Armada Integration', 'url': 'https://your-app.com/webhooks/jira', 'events': ['jira:issue_created', 'jira:issue_updated', 'sprint_started', 'sprint_closed'], 'filters': {'issue-related-events-section': 'project = GA'}}) ```

Automation Recipes

Sync GitHub PR to Jira

issue_key = match.group(1)

Add comment with PR link

jira.add_comment( issue_key, f"PR opened: [{pr_data['title']}]({pr_data['html_url']})" )

Transition to "In Review" if PR is ready

if not pr_data.get('draft'): jira.transition_issue(issue_key, 'In Review')

Auto-create Release Notes

Group by type

features = [i for i in issues if i['fields']['issuetype']['name'] == 'Story'] bugs = [i for i in issues if i['fields']['issuetype']['name'] == 'Bug']

Generate markdown

notes = f"# Release {version}\n\n" notes += "## Features\n" for issue in features: notes += f"- [{issue['key']}] {issue['fields']['summary']}\n" notes += "\n## Bug Fixes\n" for issue in bugs: notes += f"- [{issue['key']}] {issue['fields']['summary']}\n"

Create Confluence page

confluence.create_page( space='GA', title=f'Release Notes - {version}', body=markdown_to_confluence(notes), parent_id=RELEASE_NOTES_PARENT_ID )

Golden Armada Commands


# Sync with Atlassian

/atlassian-sync --jira --confluence

# Create Jira issue from template

/jira-create --type story --template agent-feature

# Update Confluence docs from code

/confluence-publish --from docs/ --space GA ```

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

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

能力 5

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

Claude Code

28%
按下载量换算118

Codex

21%
按下载量换算88

OpenCode

16.34%
按下载量换算69

Antigravity

13.19%
按下载量换算55

windsurf

8.24%
按下载量换算35

Gemini CLI

3.58%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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