Jira Ticket Creator with Web Research#

Create Jira tickets whose content is enriched by web search. Follow these phases in order.

Setup#

Three environment variables are required:

• JIRA_BASE_URL — your Atlassian instance (e.g. https://yourteam.atlassian.net)
• JIRA_EMAIL — the email tied to your Atlassian account
• JIRA_API_TOKEN — an API token from https://id.atlassian.com/manage-profile/security/api-tokens

All Jira API calls use Basic auth via curl -u and force HTTP/1.1:

bash

curl --http1.1 -s -u "$JIRA_EMAIL:$JIRA_API_TOKEN" -H "Content-Type: application/json" "$JIRA_BASE_URL/rest/api/3/..."

---

Phase 1 — Parse Arguments#

Parse the user's request to extract:

FieldRequiredDescriptionprojectyesJira project key (e.g. ENG, OPS)issuetypenoTask, Bug, Story, Epic (default: Task)summaryyesShort title for the ticketsearch_querynoTopic to web-search for enriching the descriptionprioritynoHighest, High, Medium, Low, Lowest (default: Medium)assigneenoAtlassian account email or IDlabelsnoComma-separated labelscomponentsnoComma-separated component names

If the user does not provide a project key, ask for it before proceeding.

---

Phase 2 — Web Research (if applicable)#

If the user asked for research, or if the ticket would benefit from context (e.g. a bug report referencing an external API, a story about integrating a third-party service):

1. Use the web_search tool to search for the relevant topic.
2. Use the xurl tool or curl to fetch key pages for details.
3. Extract the most relevant information: error descriptions, API docs, best practices, version notes, or solution approaches.

Compile findings into a structured summary:

text

### Research Summary
- **Source**: [URL]
- **Key findings**: ...
- **Relevant details**: ...

If no research is needed, skip to Phase 3.

---

Phase 3 — Compose Ticket Content#

Build the ticket description in Atlassian Document Format (ADF). Combine:

• The user's original request/context
• Research findings from Phase 2 (if any)
• Acceptance criteria (when creating Stories)
• Steps to reproduce (when creating Bugs)

Keep the description concise and actionable.

ADF Structure#

Jira API v3 uses ADF for the description field. Minimal example:

json

{
  "type": "doc",
  "version": 1,
  "content": [
    {
      "type": "paragraph",
      "content": [{ "type": "text", "text": "Description text here." }]
    }
  ]
}

For richer formatting (headings, bullet lists, links):

json

{
  "type": "doc",
  "version": 1,
  "content": [
    {
      "type": "heading",
      "attrs": { "level": 3 },
      "content": [{ "type": "text", "text": "Summary" }]
    },
    {
      "type": "bulletList",
      "content": [
        {
          "type": "listItem",
          "content": [
            {
              "type": "paragraph",
              "content": [{ "type": "text", "text": "Item one" }]
            }
          ]
        }
      ]
    },
    {
      "type": "paragraph",
      "content": [
        { "type": "text", "text": "Source: " },
        {
          "type": "text",
          "text": "link text",
          "marks": [{ "type": "link", "attrs": { "href": "https://example.com" } }]
        }
      ]
    }
  ]
}

---

Phase 4 — Validate Project and Fields#

Before creating the ticket, verify the project exists and discover available fields:

bash

# Verify project
curl --http1.1 -s -u "$JIRA_EMAIL:$JIRA_API_TOKEN" -H "Content-Type: application/json" \
  "$JIRA_BASE_URL/rest/api/3/project/$PROJECT_KEY" | jq '{key, name, id}'

# List available issue types for the project
curl --http1.1 -s -u "$JIRA_EMAIL:$JIRA_API_TOKEN" -H "Content-Type: application/json" \
  "$JIRA_BASE_URL/rest/api/3/project/$PROJECT_KEY/statuses" | jq '.[].name'

If the project or issue type is invalid, report the error and ask the user to correct it.

---

Phase 5 — Create the Ticket#

bash

curl --http1.1 -s -X POST \
  -u "$JIRA_EMAIL:$JIRA_API_TOKEN" \
  -H "Content-Type: application/json" \
  "$JIRA_BASE_URL/rest/api/3/issue" \
  -d '{
    "fields": {
      "project": { "key": "PROJECT_KEY" },
      "summary": "Ticket summary here",
      "issuetype": { "name": "Task" },
      "priority": { "name": "Medium" },
      "description": { ADF_OBJECT },
      "labels": ["label1", "label2"]
    }
  }'

Extract the response:

bash

# Parse response for issue key and URL
ISSUE_KEY=$(echo "$RESPONSE" | jq -r '.key')
ISSUE_URL="$JIRA_BASE_URL/browse/$ISSUE_KEY"

If the API returns an error, display the error message and suggest corrections.

---

Phase 6 — Report#

Present the result to the user:

• Issue key: e.g. ENG-1234
• URL: direct link to the ticket
• Summary: the title that was set
• Research included: yes/no, with sources listed

---

Notes#

• The Jira REST API v3 requires ADF for descriptions — plain text or markdown will be rejected.
• Rate limits: Jira Cloud allows ~100 requests per minute per user.
• The jira.yaml network policy preset in NemoClaw already allows *.atlassian.net, auth.atlassian.com, and api.atlassian.com on port 443.
• To use this skill inside NemoClaw's sandbox, enable the Jira preset in your sandbox policy.

Examples#

text

# Create a simple task
/jira-ticket ENG "Update API rate limiting docs"

# Create a bug with web research
/jira-ticket ENG --type Bug --search "Node.js fetch timeout ECONNRESET" "Fix intermittent ECONNRESET in payment service"

# Create a story with priority and labels
/jira-ticket PLATFORM --type Story --priority High --labels "q2,backend" "Add OAuth2 PKCE flow for mobile clients"