sprint-planning
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name: sprint-planning
description: "Structure and facilitate sprint planning sessions. Use when asked to plan a sprint, organise backlog items, assign story points, create sprint goals, or prepare sprint planning agendas. Produces a sprint goal, velocity-calibrated backlog, capacity plan, risk flags, and a structured sprint planning meeting agenda."
Sprint Planning Skill
Transform raw backlog items into a structured, achievable sprint with clear goals, velocity-calibrated scope, and team-ready output.
Reads from / Writes to the Brain
If a professional-brain (brain/) exists, ground in it instead of re-asking for what you already know:
- Read first: priority
decisions/(what the team agreed matters), featureentities/, and openhypotheses/the sprint might test. Runpython3 ../professional-brain/scripts/brain_query.py ./brain "<sprint goal>"and carry each fact's provenance tag through. - 📥 Propose to the Brain: after producing, propose logging the sprint commitment (goal + committed scope) as a
decisions/record, provenance-tagged. Show it, get a yes, then write with../professional-brain/scripts/brain_write.py … --commit(append-only, dry-run by default).
Proposes Actions
Once the sprint is agreed, hand it to action-runner: it previews (dry-run, risk-rated), runs only what you approve via the connected action MCP, and records what was done back to the brain. Typical: create a ticket per committed backlog item and set the sprint milestone (🟡). This skill proposes; action-runner gates and runs — never silently.
What This Skill Produces
- Sprint Goal — single, outcome-focused sentence the whole team can rally around
- Sprint Backlog — prioritised list of user stories with story point estimates and acceptance criteria
- Capacity Plan — team availability breakdown accounting for holidays, meetings, and focus time
- Sprint Planning Agenda — structured 2-hour meeting agenda with timings
- Risk Flags — blockers or dependencies that could derail the sprint
Required Inputs
Ask for (if not already provided):
- Sprint duration (1 or 2 weeks)
- Team size and velocity (average story points per sprint)
- Top 3–5 backlog items or epics to pull from
- Any known absences, holidays, or team events
- Previous sprint's incomplete items (carry-overs)
Sprint Goal Formula
Use this structure:
"This sprint we will [deliver X outcome] so that [user/business benefit], measured by [success indicator]."
Never write sprint goals as task lists. Always outcome-first.
Story Point Calibration
| Complexity | Points | Description |
|---|---|---|
| Trivial | 1 | Clearly understood, no unknowns |
| Small | 2 | Straightforward, minor effort |
| Medium | 3 | Some complexity, clear path |
| Large | 5 | Complex, needs design or research |
| Very Large | 8 | High uncertainty, may need splitting |
| Epic | 13+ | Too large — must be split before sprint |
Flag any item estimated at 8+ and recommend splitting.
Capacity Formula
Available capacity = (Team size × Sprint days × Focus hours/day) × Availability factor
Focus hours/day: 6 (accounting for meetings, Slack, admin)
Availability factor: 0.7–0.85 depending on holidays/events
Story points to commit = Historical velocity × Availability factor
Programmatic Helper
This skill ships with a stdlib-only Python script that computes capacity instead of estimating it by hand. Use it whenever the team's numbers are known — it applies the availability and 80% commit-ratio rules consistently.
# Quick estimate from flags
python3 scripts/capacity_calculator.py --team 5 --days 10 --velocity 30 --availability 0.8 --carryover 5
# Detailed estimate from per-member availability (JSON via stdin or --input file.json)
echo '{"sprint_days":10,"historical_velocity":40,"carryover_points":8,
"members":[{"name":"Ada","available_days":10},{"name":"Linus","available_days":7}]}' \
| python3 scripts/capacity_calculator.py --input -
The script returns available focus hours, a velocity figure adjusted for real availability, the recommended commitment (capped at 80% of velocity), and the remaining capacity for new work after carry-overs. Run it first, then build the sprint backlog to fit the recommended number. Add --json to pipe the result into other tooling.
Output Format
Sprint [N] — [Start Date] to [End Date]
Sprint Goal:
[Goal statement]
Team Capacity: [X] story points available (based on [Y] team members, [Z]% availability)
Sprint Backlog:
| Priority | Story | Points | Owner | Acceptance Criteria |
|---|---|---|---|---|
| 1 | [Story title] | [N] | [Team member] | [When X then Y] |
Carry-Overs from Previous Sprint:
- [Item] — Reason for carry-over: [brief explanation]
Risks & Dependencies:
- [Risk description] → Mitigation: [action]
Sprint Planning Agenda:
- 00:00–00:10 — Review sprint goal and team capacity
- 00:10–00:40 — Walk through backlog items, confirm estimates
- 00:40–01:20 — Assign stories, identify dependencies
- 01:20–01:50 — Review acceptance criteria per story
- 01:50–02:00 — Confirm sprint commitment and close
Guidelines
- Always challenge stories missing acceptance criteria — flag them explicitly
- Recommend the team commits to 80% of available capacity, not 100%
- If no velocity data is provided, assume 20–30 points for a 5-person team as a starting point
- Highlight any story with unclear ownership as a blocker
Quality Checks
- Sprint goal is outcome-focused (not "implement X" — something like "users can do Y")
- Team capacity is calculated using actual availability, not theoretical 100%
- Every story has an acceptance criterion (flag any that don't)
- Stories estimated at 8+ points are flagged for splitting
- Carry-overs from last sprint are accounted for in capacity
Anti-Patterns
- Do not write sprint goals as task lists — goals must be outcome-focused and scoreable pass/fail at sprint end
- Do not commit to 100% of available capacity — always recommend 80% to preserve slack for unplanned work
- Do not carry stories with no acceptance criteria into the sprint — flag them as blockers before committing
- Do not allow stories estimated at 8+ points into the sprint without splitting them first
- Do not ignore carry-over items when calculating capacity — they consume capacity and must be accounted for before new work is pulled in