# Mk:jira Time

> JIRA time tracking via the jira-as wrapper: log work, list/update/delete worklogs, set estimates, generate reports, bulk-log. Triggers: 'log 2h on KEY', 'show worklog for KEY', 'time report for sprint', 'bulk-log 30m to JQL'. Worklog edit/delete loses data — agent confirms. NOT for sprint capacity (mk:jira-agile).

- Skill: `ngocsangyem/mk-jira-time` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add ngocsangyem/mk-jira-time`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ngocsangyem/mk-jira-time/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: ngocsangyem (https://skillmd.com/u/ngocsangyem)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ngocsangyem/mk-jira-time

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# mk:jira-time

Forks to the `jira-time` agent. Duration format: `30m`, `2h`, `1d 4h`. The agent confirms before any worklog `update` / `delete` — those are effectively irreversible.

## Triggers

- "log 2h on PROJ-123 with comment 'paired with x'"
- "show worklogs for PROJ-123"
- "set original estimate 1d, remaining 4h on PROJ-123"
- "time report for project PROJ from 2026-04-01 to 2026-04-30"
- "bulk-log 30m to all my open PROJ tickets" (dry-run first)

## Examples

- Single log: "log 30m on PROJ-456 — code review"
- Estimate: "set original estimate 8h on PROJ-789"
- Report: "export the April time report for PROJ to /tmp/april.csv"

## See also

- Agent: `../../agents/jira-time.md`
- Shared: `../jira/references/{install-and-auth,cli-idioms,safety-framework}.md`
- Domain refs:
  - `references/time-tracking.md` — wrapper-flow patterns
  - `references/time-format-quick-ref.md` — duration syntax (15m, 2h, 1d 4h, 1w)
  - `references/jql-snippets.md` — copy-paste time-related JQL (worklog by user/date)
  - `references/estimation-guide.md` — story-point vs time estimation tradeoffs
- Peer leaves: `mk:jira-search` (JQL for worklog filters), `mk:jira-agile` (sprint capacity uses time data), `mk:jira-bulk` (bulk-log)

## Gotchas

- (none yet — grow from observed failures)

