hjemmesidekongen/jira-ingestion
plugins/herold/skills/jira-ingestion/SKILL.md
Fetch Jira tickets via Atlassian MCP and normalize to local YAML task files. Single ticket mode (by key) or bulk mode (by JQL filter). Extracts key, summary, description, acceptance criteria, comments, attachments, status, and assignee. Auto-runs contradiction-detection after ingestion. Falls back to dry-run mode with sample data when MCP is unavailable.
tools
Updated Apr 5, 2026
$ install --global
skillsauthnpx skillsauth add hjemmesidekongen/ai jira-ingestionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 24, 2026, 8:37 PM2.8s1 file scanned
SKILL.md
- name:
- jira-ingestion
- description:
- >
- user_invocable:
- true
- interactive:
- false
- model_tier:
- senior
- - "kronen:
- jira-basics
- type:
- data_validation
- - name:
- contradiction_run
- verify:
- contradiction-detection ran on every ingested ticket
- fail_action:
- Run contradiction-detection manually on skipped tickets
- on_fail:
- Report which tickets failed ingestion and why.
- on_pass:
- Report: ingested N tickets, M contradictions found.
- origin:
- herold
- inspired_by:
- agent-toolkit-main/skills/jira/SKILL.md
- ported_date:
- 2026-03-09
- iteration:
- 1
- changes:
- New skill. MCP-based Jira ingestion with dry-run fallback.
jira-ingestion
Pulls Jira tickets into local .ai/tasks/ as normalized YAML. Works in single-ticket
or bulk mode. Runs contradiction-detection automatically after ingestion.
Steps
- Determine mode — single key (
PROJ-123) or JQL (project = PROJ AND sprint in openSprints()) - Check MCP availability — attempt Atlassian MCP connection. If unavailable, switch to dry-run using
resources/test-data/sample-ticket.yml - Fetch tickets — call MCP tools to retrieve ticket data (see
references/process.mdfor API mapping) - Normalize — map Jira fields to local task schema. Write each ticket to
.ai/tasks/<KEY>.yml - Download attachments — save to
.ai/tasks/attachments/<KEY>/. Skip if dry-run. - Run contradiction-detection — invoke on each ingested ticket
- Report — list ingested tickets, contradiction counts, any failures
Dry-run mode
When Atlassian MCP is not connected, the skill reads resources/test-data/sample-ticket.yml
and processes it through the same normalization pipeline. Useful for testing the ingestion
flow without a live Jira connection. Output goes to .ai/tasks/ as normal.
Never
- Never fabricate ticket data when MCP is unavailable — use dry-run with sample data only
- Never skip contradiction-detection after ingestion
- Never overwrite an existing task file without merging new data
Output: Ingested N ticket(s). Contradictions: M found across N tickets.
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