Grooming sprint tasks
Battle-tested skills for disciplined AI-assisted development. Task tracking, code review, parallel exploration, and more.
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Grooms sprint tasks by cross-referencing Monday.com board with GitHub issues across multiple repos, then produces subitems, descriptions, linked issues, and SP estimates. Use when grooming a sprint, planning sprint tasks, preparing for sprint planning, or when user says "groom", "sprint planning", "cross-reference tasks and issues", "add subitems", or "create missing issues".
SKILL.md
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Grooming Sprint Tasks
Overview
Sprint grooming means every task gets: subitems, a detailed description, linked GitHub issues, proper labels, SP estimate, and priority. This skill automates the cross-referencing of Monday.com tasks with GitHub issues across multiple repos, identifies gaps, and produces fully groomed tasks.
Process
Phase 1: Gather All Data
Collect from three sources in parallel:
Monday.com board:
get_board_info— learn column IDs, status labels, groups, epics- GraphQL query for items by sprint group:
query { boards(ids: [BOARD_ID]) { groups { id title items_page(limit: 100) { items { id name } } } } } get_board_items_pagewithincludeColumns: true,includeSubItems: true— get full details
GitHub issues (ALL repos, in parallel):
gh issue list --repo ORG/REPO --state open --limit 100 --json number,title,state,labels,body,url
Check every repo the team works in — not just the obvious one.
GitHub labels (ALL repos, in parallel):
gh label list --repo ORG/REPO --json name,description,color --limit 50
Know what labels exist before assigning them. Create new labels if the repo is missing useful ones.
Phase 2: Cross-Reference Tasks ↔ Issues
For each sprint task:
- Identify repos — Which repo(s) does this task touch? A task can span multiple repos.
- Find matching issues — Search by keywords in issue titles across all repos
- Classify the result:
| Result | Action |
|---|---|
| Task has matching issues | Link them in the task description |
| Task has NO matching issues | Create issues (with full grooming — see Phase 3) |
| Open issue has NO matching task | Suggest adding task to sprint, or note as backlog |
| Issue is superseded by new work | Close with comment explaining what replaces it |
Phase 3: Produce Groomed Output Per Task
Every task (except DoD/ceremony tasks) needs ALL of these:
A. Subitems
RULE: 3-5 subitems per task, each independently completable
- Break the task into concrete work items
- Set "Days to Complete" for each subitem — sum should ≈ Est SP
- Reference issue numbers in names when applicable:
"Table rendering in chat UI (client #1802)" - Names should be descriptive enough to understand without the parent context
Create via Monday API:
create_item with parentItemId → creates subitem
columnValues: {"numbers": "0.5"} → sets Days to Complete
B. Task Description (Monday update/comment)
Every task gets an update in this format:
📋 Sprint Grooming Notes
[2-3 sentences: what this task is and why it matters]
🔗 Repo: org/repo-name
🎫 Issues:
• repo #NUM (title) — URL
• repo #NUM (title) — URL
📎 Related: repo #NUM (brief note on relationship)
[Dependencies or blockers if any]
Acceptance criteria:
• [Concrete, testable criterion]
• [Concrete, testable criterion]
• [Concrete, testable criterion]
Multi-repo tasks list all repos and issues.
C. GitHub Issues (for gaps)
New issues must be fully groomed — not just a title:
## Context
[What this is and how it fits into the system]
## Motivation
[Why this matters — user impact, business value, what breaks without it]
## Scope
- [ ] Checkbox for each piece of work
## Technical Notes (if applicable)
[Schema, API contracts, data shape, file paths]
## Dependencies (if any)
[What must exist first]
## Acceptance Criteria
[How we know it's done]
Labels: Assign MULTIPLE relevant labels — not just enhancement. Use domain-specific labels (agent, evals, tools, resources, security, observability, etc.). Create labels if the repo is missing useful ones:
gh label create "label-name" --repo ORG/REPO --color "HEX" --description "Description"
Phase 4: Validate
After grooming, verify:
| Check | How |
|---|---|
| SP total vs capacity | Sum Est SP. Compare against sprint working days. Flag overload. |
| Committed vs buffer | High + Medium = committed. Best effort = buffer that can slip. |
| Missing fields | Every task needs: Owner, Est SP, Priority, Type, Epic |
| Subitem math | Sum of subitem days ≈ parent Est SP |
| Issue coverage | Every non-DoD task has at least one linked GitHub issue |
| Orphan issues | Open issues not in any sprint task → note for backlog discussion |
Phase 5: Present Summary
After all grooming, present to the user:
- Task list — table with: task name, SP, priority, repos, issue count
- SP breakdown — committed SP vs buffer SP vs capacity
- Issues created — table with: repo, issue #, title, labels
- Issues closed — any superseded issues
- Labels created — new labels added to repos
- Remaining gaps — anything still missing
Red Flags — STOP
| Thought | Action |
|---|---|
| "This task only touches one repo" | VERIFY — many tasks span 2+ repos |
| "enhancement label is enough" | ADD domain-specific labels too |
| "The subitem name is self-explanatory" | ADD days-to-complete anyway |
| "I'll skip the issue body, title is clear" | WRITE full Context/Motivation/Scope/AC |
| "I'll just check shapes-agent issues" | CHECK ALL REPOS — client and server too |
| "No existing issues match, moving on" | CREATE the missing issues |
| "Description can be brief" | INCLUDE repos, issue links, and acceptance criteria |
Anti-Patterns
Single-repo tunnel vision: Checking only one repo when a task spans agent + MCP + client. Always check all repos.
Label laziness: Slapping enhancement on everything. Use agent, evals, tools, resources, security, observability, performance, etc.
Skeleton issues: Creating issues with just a title and no body. Every issue needs Context, Motivation, Scope, and Acceptance Criteria.
Missing cross-links: Creating issues but not linking them back to the Monday task description. The Monday update must reference every related issue with URLs.
Subitem vagueness: "Do the thing" subitems with no days estimate. Each subitem needs a clear name and days-to-complete.
Ignoring superseded issues: Old issues that are replaced by new work should be closed with a comment, not left open to confuse future sprints.