一键导入
atlassian-summarize
Search Atlassian Confluence and Jira for content matching a keyword or statement, then produce a structured summary of all relevant findings
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Search Atlassian Confluence and Jira for content matching a keyword or statement, then produce a structured summary of all relevant findings
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Creates, formats, and builds documentation compliant with camera-build docs workflow
Fix GitLab MR unresolved comments
Quick local code review of a GitLab MR — checkout, analyze diff, and fix issues directly in the source code. No GitLab API or tokens needed.
Wrap up a GitLab MR — build, deploy & verify on device(s), then generate/update the MR description with full documentation.
Use when diagnosing Ambarella Oryx export muxer H.264/H.265 captures, test_oryx_data_export output, DVR frame corruption, SPS/PPS/IDR fair-clip decoding, or SmartRC/QPM ROI capture validation on camera DUTs.
Generate a customer-facing SQA release summary for any camera service (rant, bartleby, or others) from a RELEASES.md or changelog file. Looks up Jira tickets, collapses intermediate versions, and outputs a structured markdown file with test commands, QA tips, and a priority test matrix. Use when user says "summarize releases", "release notes for X to Y", "create release summary", "SQA notes", or specifies a version range like "3.2.10 to 3.3.7" for rant, bartleby, or any other camera service.
| name | atlassian-summarize |
| description | Search Atlassian Confluence and Jira for content matching a keyword or statement, then produce a structured summary of all relevant findings |
Given a keyword, topic, or natural language statement from the user, I:
atlassian_searchAtlassian with the provided queryUse atlassian_searchAtlassian with the user's keyword or statement verbatim as the query.
Run multiple searches in parallel when the topic has multiple angles (e.g., "watchdog hardware" and "watchdog software").
For Confluence pages: call atlassian_getConfluencePage with contentFormat: "markdown".
For Jira issues: call atlassian_getJiraIssue or atlassian_fetchAtlassian with the ARI from search results.
Fetch the top results in parallel to minimize latency.
If initial results are too broad, too narrow, or reveal related subtopics, run 1–2 additional
atlassian_searchAtlassian calls with refined terms derived from the first pass
(e.g., a component name, subsystem name, or related feature discovered in the results).
Organize the output with the following structure:
## Summary: <keyword or statement>
### Key Findings
- Bullet-point distillation of the most important facts across all sources
### Sources Found
| Title | Type | URL |
|-------|------|-----|
| ... | Page | ... |
### Detailed Breakdown
#### <Source Title>
- Core content summary (3–8 bullet points)
- Decisions, action items, or open questions recorded in this source
### Gaps / Open Questions
- Anything the sources did not answer or that appears unresolved
atlassian_searchAtlassian as the primary search tool unless the user explicitly
says "use CQL" or "use JQL" — in that case use atlassian_searchConfluenceUsingCql or
atlassian_searchJiraIssuesUsingJql instead.Load this skill when the user asks to:
<topic> in Confluence"<keyword>"<statement> across Jira and Confluence"<topic> from Atlassian"