plan-sprint
关于
This Claude Skill helps developers plan Agile sprints by refining backlogs, defining goals, calculating team capacity, and decomposing selected items into tasks. It automatically generates a structured `SPRINT-PLAN.md` file containing the goal, selected items, task breakdown, and capacity allocation. Use it to kick off a new sprint, re-plan after scope changes, or establish a sprint cadence following backlog grooming.
快速安装
Claude Code
推荐npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/plan-sprint在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Plan a Sprint
Plan time-boxed sprint: pick refined backlog items up to capacity, define clear goal, decompose into actionable tasks. Output: complete plan guiding team for sprint duration.
Use When
- New sprint in Scrum/agile project
- Re-plan after major scope change
- Ad-hoc → structured sprint cadence
- Post-backlog-grooming when items ready
- First sprint after charter approval
In
- Required: Product backlog (prioritized, w/ estimates)
- Required: Sprint duration (typically 1-2 wks)
- Required: Team members + availability
- Optional: Prior sprint velocity (story points or items completed)
- Optional: Sprint number + date range
- Optional: Carry-over from prev sprint
Do
Step 1: Review + Refine Backlog Items
Read current BACKLOG.md. For each candidate near top, verify:
- Clear title + desc
- Acceptance criteria (testable)
- Estimate (story points or T-shirt)
- No unresolved blockers
Refine missing. Split items > half sprint capacity → smaller pieces.
→ Top 10-15 items "sprint-ready" w/ acceptance criteria + estimates.
If err: items lack acceptance → write now. Can't estimate → schedule refinement, only pick ready.
Step 2: Define Sprint Goal
One sentence stating sprint outcome. Goal should:
- Achievable in sprint duration
- Valuable to stakeholders
- Testable (verifiable at sprint end)
**Sprint Goal**: [One sentence describing the objective]
Example: "Enable users to reset their password through email verification with two-factor authentication."
→ Sprint goal = one clear testable sentence.
If err: no coherent goal → backlog priorities scattered, consult product owner → focus on single valuable outcome.
Step 3: Calc Team Capacity
Available person-days per member:
## Team Capacity
| Team Member | Available Days | Overhead (%) | Net Capacity |
|-------------|---------------|-------------|--------------|
| [Name] | [Sprint days - PTO] | 20% | [Available × 0.8] |
| [Name] | [Sprint days - PTO] | 20% | [Available × 0.8] |
| **Total** | | | **[Sum] person-days** |
Overhead = meetings, reviews, ad-hoc (typically 15-25%).
Story points → use prior velocity. First sprint → 60-70% theoretical max.
→ Capacity calc'd in person-days or story points w/ doc'd assumptions.
If err: no historical velocity → conservative: 60%, adjust after. Better under-commit + deliver than over-commit + fail.
Step 4: Select Items + Compose Sprint Backlog
Pick from top of product backlog until capacity. Decompose each → tasks (2-8 hrs):
# Sprint Plan: Sprint [N]
## Document ID: SP-[PROJECT]-S[NNN]
### Sprint Details
- **Sprint Goal**: [From Step 2]
- **Duration**: [Start date] to [End date]
- **Capacity**: [From Step 3] person-days / [N] story points
- **Team**: [List team members]
### Sprint Backlog
| ID | Item | Points | Tasks | Assignee | Status |
|----|------|--------|-------|----------|--------|
| B-001 | [Item title] | 5 | 4 | [Name] | To Do |
| B-002 | [Item title] | 3 | 3 | [Name] | To Do |
| B-003 | [Item title] | 8 | 6 | [Name] | To Do |
| **Total** | | **16** | **13** | | |
### Task Breakdown
#### B-001: [Item title]
**Acceptance Criteria**: [From backlog item]
- [ ] Task 1: [Description] (4h, [Assignee])
- [ ] Task 2: [Description] (2h, [Assignee])
- [ ] Task 3: [Description] (4h, [Assignee])
- [ ] Task 4: [Description] (2h, [Assignee])
#### B-002: [Item title]
**Acceptance Criteria**: [From backlog item]
- [ ] Task 1: [Description] (3h, [Assignee])
- [ ] Task 2: [Description] (4h, [Assignee])
- [ ] Task 3: [Description] (2h, [Assignee])
#### B-003: [Item title]
**Acceptance Criteria**: [From backlog item]
- [ ] Task 1: [Description] (3h, [Assignee])
- [ ] Task 2: [Description] (4h, [Assignee])
- [ ] Task 3: [Description] (2h, [Assignee])
- [ ] Task 4: [Description] (3h, [Assignee])
- [ ] Task 5: [Description] (4h, [Assignee])
- [ ] Task 6: [Description] (2h, [Assignee])
### Risks and Dependencies
| Risk | Impact | Mitigation |
|------|--------|-----------|
| [Risk 1] | [Impact] | [Mitigation] |
| [Risk 2] | [Impact] | [Mitigation] |
### Carry-Over from Previous Sprint
| ID | Item | Reason | Remaining Effort |
|----|------|--------|-----------------|
| B-XXX | [Item] | [Reason] | [Hours/points] |
→ Sprint backlog w/ items up to capacity, each decomposed into tasks w/ time estimates.
If err: total points > capacity → drop lowest-pri item. Never exceed capacity by >10%. Deps block sequencing → reorder or defer.
Step 5: Document Commitments + Save
Write plan → SPRINT-PLAN.md (or SPRINT-PLAN-S[NNN].md for archive). Confirm:
- Sprint goal achievable w/ selected items
- No member overallocated (>100% capacity)
- Deps sequenced correctly
- Carry-over in capacity
- All acceptance criteria copied from backlog
Final validation:
# Check that total task hours align with capacity
grep -A 100 "Task Breakdown" SPRINT-PLAN.md | grep -o '([0-9]*h' | sed 's/[^0-9]//g' | awk '{sum+=$1} END {print "Total hours:", sum}'
→ SPRINT-PLAN.md created w/ complete backlog + task breakdown. Total hours ≤80% of available person-days × 8 hrs.
If err: commitments don't align w/ goal → revisit Step 4. Task hours > capacity → drop last item or decompose more granular.
Check
- Sprint goal = one clear testable sentence
- Capacity calc'd w/ doc'd assumptions (overhead %, PTO)
- Selected items don't exceed capacity (points or person-days)
- Every item has acceptance criteria in task breakdown
- Every item decomposed → tasks (2-8 hrs each)
- No member overallocated >100% capacity
- Carry-over doc'd w/ remaining effort
- Deps sequenced correctly
- Risks + mitigations doc'd
- SPRINT-PLAN.md created + saved
Traps
- No sprint goal: No goal → just bag of tasks. Goal = focus + basis for mid-sprint scope decisions.
- Over-commit: 100% capacity ignores interrupts, bugs, overhead. Plan 70-80% → buffer for unexpected.
- Tasks too large: >8 hrs hides complexity, hard tracking. Decompose to 2-8 hrs.
- Ignore carry-over: Unfinished items consume current sprint capacity. Account explicitly.
- Goal as item list: "Complete B-001, B-002, B-003" ≠ goal. Goal = outcome: "Users can reset password via email verification."
- No task ownership: Every task → assignee at planning → surface capacity conflicts early.
- Skip acceptance criteria: Tasks w/o criteria = untestable. Copy criteria from backlog into task breakdown.
→
manage-backlog— maintain + prioritize backlog feeding planningdraft-project-charter— project context + initial scope for first sprintgenerate-status-report— report progress + velocity to stakeholdersconduct-retrospective— review sprint, improve planningcreate-work-breakdown-structure— WBS work packages feed backlog in hybrid agile-waterfall
GitHub 仓库
相关推荐技能
llamaguard
其他LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。
cost-optimization
其他这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。
quantizing-models-bitsandbytes
其他这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。
dispatching-parallel-agents
其他该Skill用于并行处理3个以上无依赖关系的独立故障,可为每个问题域分派专属Claude代理同时执行调查修复。它通过并发处理多个独立问题显著提升故障排查效率,特别适用于测试文件、子系统等无共享状态的场景。
