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search-company-knowledge

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Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When an agent needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information from multiple sources. Searches in parallel and provides cited answers.

AI Agents

What this skill does


# Search Company Knowledge

## Keywords
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## Overview

Search across siloed company knowledge systems (Confluence, Jira, internal documentation) to find comprehensive answers to questions about internal concepts, systems, and terminology. This skill performs parallel searches across multiple sources and synthesizes results with proper citations.

**Use this skill when:** Users ask about internal company knowledge that might be documented in Confluence pages, Jira tickets, or internal documentation.

---

## Workflow

Follow this 5-step process to provide comprehensive, well-cited answers:

### Step 1: Identify Search Query

Extract the core search terms from the user's question.

**Examples:**
- User: "Find everything about Stratus minions" → Search: "Stratus minions"
- User: "What do we know about the billing system?" → Search: "billing system"
- User: "Explain our deployment process" → Search: "deployment process"

**Consider:**
- Main topic or concept
- Any specific system/component names
- Technical terms or jargon

---

### Step 2: Execute Parallel Search

Search across all available knowledge sources simultaneously for comprehensive coverage.

#### Option A: Cross-System Search (Recommended First)

Use the **`search`** tool (Rovo Search) to search across Confluence and Jira at once:

```
search(
  cloudId="...",
  query="[extracted search terms]"
)
```

**When to use:** 
- Default approach for most queries
- When you don't know which system has the information
- Fastest way to get results from multiple sources

**Example:**
```
search(
  cloudId="...",
  query="Stratus minions"
)
```

This returns results from both Confluence pages and Jira issues.

#### Option B: Targeted Confluence Search

Use **`searchConfluenceUsingCql`** when specifically searching Confluence:

```
searchConfluenceUsingCql(
  cloudId="...",
  cql="text ~ 'search terms' OR title ~ 'search terms'"
)
```

**When to use:**
- User specifically mentions "in Confluence" or "in our docs"
- Cross-system search returns too many Jira results
- Looking for documentation rather than tickets

**Example CQL patterns:**
```
text ~ "Stratus minions"
text ~ "authentication" AND type = page
title ~ "deployment guide"
```

#### Option C: Targeted Jira Search

Use **`searchJiraIssuesUsingJql`** when specifically searching Jira:

```
searchJiraIssuesUsingJql(
  cloudId="...",
  jql="text ~ 'search terms' OR summary ~ 'search terms'"
)
```

**When to use:**
- User mentions "tickets", "issues", or "bugs"
- Looking for historical problems or implementation details
- Cross-system search returns mostly documentation

**Example JQL patterns:**
```
text ~ "Stratus minions"
summary ~ "authentication" AND type = Bug
text ~ "deployment" AND created >= -90d
```

#### Search Strategy

**For most queries, use this sequence:**

1. Start with `search` (cross-system) - **always try this first**
2. If results are unclear, follow up with targeted searches
3. If results mention specific pages/tickets, fetch them for details

---

### Step 3: Fetch Detailed Content

After identifying relevant sources, fetch full content for comprehensive answers.

#### For Confluence Pages

When search results reference Confluence pages:

```
getConfluencePage(
  cloudId="...",
  pageId="[page ID from search results]",
  contentFormat="markdown"
)
```

**Returns:** Full page content in Markdown format

**When to fetch:**
- Search result snippet is too brief
- Need complete context
- Page seems to be the primary documentation

#### For Jira Issues

When search results reference Jira issues:

```
getJiraIssue(
  cloudId="...",
  issueIdOrKey="PROJ-123"
)
```

**Returns:** Full issue details including description, comments, status

**When to fetch:**
- Need to understand a reported bug or issue
- Search result doesn't show full context
- Issue contains important implementation notes

#### Prioritization

**Fetch in this order:**
1. **Official documentation pages** (Confluence pages with "guide", "documentation", "overview" in title)
2. **Recent/relevant issues** (Jira tickets that are relevant and recent)
3. **Additional context** (related pages mentioned in initial results)

**Don't fetch everything** - be selective based on relevance to user's question.

---

### Step 4: Synthesize Results

Combine information from multiple sources into a coherent answer.

#### Synthesis Guidelines

**Structure your answer:**

1. **Direct Answer First**
   - Start with a clear, concise answer to the question
   - "Stratus minions are..."

2. **Detailed Explanation**
   - Provide comprehensive details from all sources
   - Organize by topic, not by source

3. **Source Attribution**
   - Note where each piece of information comes from
   - Format: "According to [source], ..."

4. **Highlight Discrepancies**
   - If sources conflict, note it explicitly
   - Example: "The Confluence documentation states X, however Jira ticket PROJ-123 indicates that due to bug Y, the behavior is actually Z"

5. **Provide Context**
   - Mention if information is outdated
   - Note if a feature is deprecated or in development

#### Synthesis Patterns

**Pattern 1: Multiple sources agree**
```
Stratus minions are background worker processes that handle async tasks.

According to the Confluence documentation, they process jobs from the queue and 
can be scaled horizontally. This is confirmed by several Jira tickets (PROJ-145, 
PROJ-203) which discuss minion configuration and scaling strategies.
```

**Pattern 2: Sources provide different aspects**
```
The billing system has two main components:

**Payment Processing** (from Confluence "Billing Architecture" page)
- Handles credit card transactions
- Integrates with Stripe API
- Runs nightly reconciliation

**Invoice Generation** (from Jira PROJ-189)
- Creates monthly invoices
- Note: Currently has a bug where tax calculation fails for EU customers
- Fix planned for Q1 2024
```

**Pattern 3: Conflicting information**
```
There is conflicting information about the authentication timeout:

- **Official Documentation** (Confluence) states: 30-minute session timeout
- **Implementation Reality** (Jira PROJ-456, filed Oct 2023): Actual timeout is 
  15 minutes due to load balancer configuration
- **Status:** Engineering team aware, fix planned but no timeline yet

Current behavior: Expect 15-minute timeout despite docs saying 30 minutes.
```

**Pattern 4: Incomplete information**
```
Based on available documentation:

[What we know about deployment process from Confluence and Jira]

However, I couldn't find information about:
- Rollback procedures
- Database migration handling

You may want to check with the DevOps team or search for additional documentation.
```

---

### Step 5: Provide Citations

Always include links to source materials so users can explore further.

#### Citation Format

**For Confluence pages:**
```
**Source:** [Page Title](https://yoursite.atlassian.net/wiki/spaces/SPACE/pages/123456)
```

**For Jira issues:**
```
**Related Tickets:**
- [PROJ-123](https://yoursite.atlassian.net/browse/PROJ-123) - Brief description
- [PROJ-456](https://yoursite.atlassian.net/browse/PROJ-456) - Brief description
```

**Complete citation section:**
```
## Sources

**Confluence Documentation:**
- [Stratus Architecture Guide](https://yoursite.atlassian.net/wiki/spaces/DOCS/pages/12345)
- [Minion Configuration](https://yoursite.atlassian.n

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