.claude/skills/delivery/SKILL.md
Prepare delivery review summary from Jira and GitHub sync data
npx skillsauth add dcurlewis/ai-context-system .claude/skills/deliveryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Analyse the Jira and GitHub sync data to prepare a concise delivery review summary. The report should be scannable in under 5 minutes.
Load Data Sources
Synced-Data/Jira/INDEX.md for overviewSynced-Data/Jira/index.json for filtering and analysisSynced-Data/Jira/issues/{KEY}.json only when detailed information is neededSynced-Data/GitHub/index.json for PR data (if available; proceed without if missing)Synced-Data/Jira/_meta.json and Synced-Data/GitHub/_meta.jsonMemory/memory-work.md and Memory/memory-context.md for contextCorrelate GitHub and Jira
jira_keys field extracted from PR titlesGenerate Report using the template below
# Delivery Review
**Date:** [Current Date]
**Period:** Past fortnight
**Data Sources:** Jira sync ([timestamp]) | GitHub sync ([timestamp])
## Risks & Callouts
[Items requiring senior leadership attention:
- Blocked work with business impact
- Resource or dependency risks
- Overdue milestones
- Anything needing escalation or input
Keep this short. If there are no significant risks, say so explicitly.]
## Capability Delivery
### Completed Work
#### [Team A]
[Bullet list of meaningful deliveries from the past fortnight.
Focus on user value and impact, not individual tickets.
Group related tickets into single line items where they form a coherent delivery.
Reference Jira keys inline for traceability, e.g. "Feature X V2 launched (PROJ-123, PROJ-456)"]
#### [Team B]
[Same format]
#### [Team C]
[Same format]
### Planned & Upcoming
#### [Team A]
[What's coming in the next fortnight. Less detailed than completed work.
Draw from Jira "In Progress" and "To Do" items at levels 2-3,
plus any context from memory files about upcoming milestones or priorities.]
#### [Team B]
[Same format]
#### [Team C]
[Same format]
## Engineering Activity
**Source:** GitHub ([timestamp]) | **Period:** [lookback days]
[Summary table per team:
| Team | PRs Merged | Key Contributors | Repos |
|------|-----------|-----------------|-------|
| Team A | 18 | Contributor 1 (18) | repo-a, repo-b |
| Team B | 20 | Contributor 2 (20) | repo-a, repo-c |
| Team C | 5 | ... | repo-a |
Notable items:
- PRs not linked to any Jira ticket (uncaptured work worth highlighting)
- Jira tickets marked done with no associated PRs (non-code work or stale data)
- Stale status indicators: tickets still "In Progress" with merged PRs]
Create a markdown file in Curated-Context/Insights/YYYYMM/ with filename format [YYYYMMDD]-delivery-review.md. Extract year and month from the date for the YYYYMM/ path; create the subdirectory if needed. Include YAML frontmatter with authorship: ai (see Guidelines/wikilink-guidelines.md § Authorship). Keep it concise, focusing on items that matter for a delivery review meeting. Use bullet points and clear language. Prioritise business value and user impact over technical details.
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