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afrexai-sprint-planner

herbert051281/mission-control/skills/afrexai-sprint-planner/SKILL.md

Plan, scope, and run agile sprints that actually ship. No ceremony bloat. Takes your backlog (or a rough list of tasks) and produces a sprint plan with: - Capacity math (team size × available days × focus factor) - Story point allocation with buffer - Sprint goal + success criteria - Daily standup template - Retro prompts tied to metrics Tell your agent: "Plan a 2-week sprint for [team/project]" with: - Team size and availability - Backlog items (paste or…

Skill0 starsChanged 6 months ago

What's in it

  1. Sprint Planner
  2. What It Does
  3. Usage
  4. Sprint Planning Framework
  5. 1. Capacity Calculation
  6. 2. Backlog Prioritization (RICE)
  7. 3. Sprint Goal
  8. 4. Buffer Rule
  9. 5. Definition of Done
  10. 6. Daily Standup (async-friendly)
  11. 7. Sprint Retro (15 min max)
  12. 8. Anti-Patterns to Flag
  13. Output Format
  14. Why This Works
# Sprint Planner

Plan, scope, and run agile sprints that actually ship. No ceremony bloat.

## What It Does

Takes your backlog (or a rough list of tasks) and produces a sprint plan with:
- Capacity math (team size × available days × focus factor)
- Story point allocation with buffer
- Sprint goal + success criteria
- Daily standup template
- Retro prompts tied to metrics

## Usage

Tell your agent: "Plan a 2-week sprint for [team/project]" with:
- Team size and availability
- Backlog items (paste or describe them)
- Any hard deadlines or dependencies

## Sprint Planning Framework

### 1. Capacity Calculation
```
Available hours = team_size × sprint_days × hours_per_day × focus_factor
focus_factor = 0.7 (accounts for meetings, interrupts, context switching)
```

### 2. Backlog Prioritization (RICE)
Score each item:
- **Reach**: How many users/processes does this affect? (1-10)
- **Impact**: How much does it move the needle? (0.25, 0.5, 1, 2, 3)
- **Confidence**: How sure are you about estimates? (0.5, 0.8, 1.0)
- **Effort**: Person-days to complete

`RICE Score = (Reach × Impact × Confidence) / Effort`

Sort descending. Fill sprint capacity from top.

### 3. Sprint Goal
One sentence. Measurable. Example: "Ship user onboarding flow — 80% of new signups complete setup within 48 hours."

### 4. Buffer Rule
Reserve 20% capacity for unplanned work. If you're filling 100% of capacity, you're already behind.

### 5. Definition of Done
Every item needs:
- [ ] Code reviewed and merged
- [ ] Tests passing
- [ ] Deployed to staging
- [ ] Product owner sign-off

### 6. Daily Standup (async-friendly)
Each person posts:
1. What I shipped yesterday
2. What I'm shipping today
3. What's blocking me (if anything)

Skip "what I worked on" — focus on shipped output.

### 7. Sprint Retro (15 min max)
- **Velocity**: Planned points vs completed points
- **Carry-over**: What didn't get done and why?
- **One thing to change**: Pick ONE process improvement. Not five.

### 8. Anti-Patterns to Flag
- Sprint scope changed mid-sprint more than once
- No items completed until final 2 days
- Carry-over exceeds 30% of planned work
- Standup takes more than 10 minutes

## Output Format

```markdown
# Sprint [N] Plan — [Start Date] to [End Date]

## Sprint Goal
[One sentence]

## Team Capacity
- Team: [N] engineers × [D] days × 0.7 focus = [H] available hours
- Buffer: 20% ([B] hours reserved)
- Committable: [C] hours

## Committed Items
| # | Item | Points | Owner | RICE | Status |
|---|------|--------|-------|------|--------|
| 1 | ...  | ...    | ...   | ...  | To Do  |

## Stretch Goals (if capacity allows)
| # | Item | Points |
|---|------|--------|

## Risks & Dependencies
- ...

## Success Criteria
- [ ] Sprint goal met
- [ ] Velocity within 15% of target
- [ ] Zero critical bugs introduced
```

## Why This Works

Most sprint planning fails because teams skip capacity math and overcommit. This framework forces honest numbers first, then fills from a prioritized backlog. The 20% buffer isn't laziness — it's how you actually hit your commitments.

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs for business teams. Get the full [SaaS Context Pack ($47)](https://afrexai-cto.github.io/context-packs/) for sprint planning, roadmap templates, and 40+ agent-ready frameworks.

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