Tracking Jira

Discovery

<critical> **If no `[cached_from_skill:tracking-jira:discover]` context exists, run discovery first:** ```bash bun run ./_skills/connections/jira/tracking-jira/scripts/discover.ts bun run ./_skills/connections/jira/tracking-jira/scripts/discover.ts --max-projects 50 ``` Output is auto-cached. </critical>

What discovery provides:

• resources: List of accessible Atlassian sites with cloudId, url, name
• currentUser: Your accountId, name, and email (for JQL queries like assignee = currentUser())
• projects: Available projects with key, name, projectTypeKey, and issueTypes (id, name, subtask); includes unassignedCount (projects without a lead)
• hints: API limits (maxResults: 50) and pagination requirements

Why run discovery:

• Get cloudId required for all Jira API calls
• Know available projects and their issue types before creating issues
• Get your accountId for assignment operations
• Understand pagination needs (if total > maxProjects)

Tools

Issues: getJiraIssue(cloudId, issueIdOrKey), createJiraIssue(cloudId, projectKey, issueTypeName, summary, ...), editJiraIssue(cloudId, issueIdOrKey, fields), searchJiraIssuesUsingJql(cloudId, jql, maxResults?, startAt?)

Operations: addCommentToJiraIssue(cloudId, issueIdOrKey, commentBody), transitionJiraIssue(cloudId, issueIdOrKey, transition), addWorklogToJiraIssue(cloudId, issueIdOrKey, timeSpent)

Metadata: getTransitionsForJiraIssue(cloudId, issueIdOrKey), getJiraIssueRemoteIssueLinks(cloudId, issueIdOrKey)

Projects: getVisibleJiraProjects(cloudId, searchString?, maxResults?, startAt?), getJiraProjectIssueTypesMetadata(cloudId, projectIdOrKey), getJiraIssueTypeMetaWithFields(cloudId, projectIdOrKey, issueTypeId)

Users: lookupJiraAccountId(cloudId, searchString), atlassianUserInfo()

Discovery: getAccessibleAtlassianResources()

Quick Patterns

Create issue:

const metadata = await getJiraProjectIssueTypesMetadata({ cloudId, projectIdOrKey: 'PROJ' });
const result = await createJiraIssue({ cloudId, projectKey: 'PROJ', issueTypeName: 'Task', summary: 'Title' });
const url = `${siteUrl}/browse/${result.key}`;

Search issues:

const response = await searchJiraIssuesUsingJql({ cloudId, jql: 'project = PROJ AND status = "In Progress"', maxResults: 50 });
const issues = response.issues; // JiraSearchResult: { issues, total, startAt, maxResults }

Transition issue:

const { transitions } = await getTransitionsForJiraIssue({ cloudId, issueIdOrKey: 'PROJ-123' });
await transitionJiraIssue({ cloudId, issueIdOrKey: 'PROJ-123', transition: { id: transitions[0].id } });

Lookup user and assign issue:

const result = await lookupJiraAccountId({ cloudId, searchString: 'john.doe@example.com' });
const users = result.users.users; // Note: nested structure - result.users.users, not result.users
const accountId = users[0]?.accountId;
await editJiraIssue({ cloudId, issueIdOrKey: 'PROJ-123', fields: { assignee: { accountId } } });

<critical> **RATE LIMITS:** `maxResults` max is **50** for `getVisibleJiraProjects()` and `searchJiraIssuesUsingJql()`. Use `startAt` for pagination: ```typescript let startAt = 0, allIssues = []; while (true) { const resp = await searchJiraIssuesUsingJql({ cloudId, jql, maxResults: 50, startAt }); allIssues.push(...resp.issues); if (allIssues.length >= resp.total) break; startAt += 50; } ``` </critical>

Workflows

Create issue: getJiraProjectIssueTypesMetadata({cloudId, projectIdOrKey}) → createJiraIssue({cloudId, projectKey, issueTypeName, summary}) → return ${siteUrl}/browse/${result.key}

Find my issues: searchJiraIssuesUsingJql({cloudId, jql: 'assignee = currentUser() AND status != Done'})

Transition issue: getTransitionsForJiraIssue({cloudId, issueIdOrKey}) → find target ID → transitionJiraIssue({cloudId, issueIdOrKey, transition: {id}})

JQL Reference

Operators: =, !=, >, <, >=, <=, IN, NOT IN, ~ (contains), IS EMPTY, IS NOT EMPTY

Functions: currentUser(), openSprints(), membersOf("group"), startOfWeek(), endOfMonth()

Time: created >= -7d, updated >= startOfWeek(), duedate <= endOfMonth()

Examples: status = "In Progress", status IN ("To Do", "In Progress"), summary ~ "bug", assignee IS EMPTY, sprint in openSprints()

JQL Best Practices

<critical> **Always quote project keys** to avoid reserved word collisions: - `project = "IN"` — safe - `project = IN` — JQL parse error Reserved words: AND, OR, NOT, IN, IS, NULL, EMPTY, ORDER, BY, TO, FROM, etc. </critical>

Troubleshooting

Error	Cause	Fix
returned unexpected response: null	OAuth token expired	Re-authenticate
JQL parse error	Reserved word project key	Quote the key
Field 'X' does not exist	Invalid JQL field	Use standard fields
UNAUTHENTICATED	Token expired mid-session	Re-run discovery
Issue does not exist	Wrong cloudId or key typo	Verify cloudId from discovery
Discovery returns 0 projects	Missing OAuth scopes	Ensure read:jira-work granted

Connection Resilience

• Always use cloudId from discovery output, never hardcode
• If discovery fails with auth errors, re-authenticate the Atlassian connection and re-run discovery
• For multi-site workspaces, discovery returns all accessible sites in resources[] — pick the correct cloudId for the target site

Output Format

Present results as a structured report:

Tracking Jira Report
════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

Shortcut	Counter	Why
"I'll skip discovery and check known resources"	Always run Phase 1 discovery first	Resource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"	Follow the full discovery → analysis flow	Quick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"	Audit configuration explicitly	Defaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"	Always check relevant metrics when available	API/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"	Try the command and report the actual error	Assumed permission failures prevent useful investigation; actual errors are informative