| 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 |
What I Do
Given a keyword, topic, or natural language statement from the user, I:
- Search Confluence and Jira using
atlassian_searchAtlassian with the provided query
- Fetch full content for the top 3–5 most relevant results
- Run follow-up searches with refined or related terms if initial results are sparse
- Synthesize everything into a clean, structured summary
Workflow
Step 1 — Broad Search
Use 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").
Step 2 — Fetch Full Content
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.
Step 3 — Follow-Up Searches (if needed)
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).
Step 4 — Produce the Summary
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
Rules
- Always use
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.
- Fetch page/issue content in markdown format for cleaner output.
- Run independent fetches and searches in parallel to maximize efficiency.
- Prefer depth (full page content) over breadth (many shallow snippets).
- If the search returns both Confluence pages and Jira issues, cover both in the summary.
- Do not invent or guess URLs. Only link to URLs returned by the Atlassian tools.
- Keep the summary factual and objective — do not editorialize beyond what the sources say.
When to Use Me
Load this skill when the user asks to:
- "summarize everything about
<topic> in Confluence"
- "collect all Atlassian info on
<keyword>"
- "what do we know about
<statement> across Jira and Confluence"
- "gather and summarize
<topic> from Atlassian"