技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 554 · 1 current installs · 1 all-time installs
⭐ 0
安装量（当前） 1
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1kalin/afrexai-sprint-planner
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is an instruction-only sprint planning template that is internally consistent with its description and does not request credentials, install code, or perform actions outside its stated scope.
目的
The name/description (sprint planning with capacity math, RICE prioritization, templates) match the SKILL.md instructions and output format; no unexpected binaries, env vars, or installs are requested. Note: the skill's source/homepage are 'unknown'/'none' while the README advertises AfrexAI pages — provenance is minimal but not inconsistent with an instruction-only template.
说明范围
The SKILL.md contains step-by-step planning rules, formulas, prioritization guidance, and a markdown output template. It does not instruct the agent to read system files, access environment variables, contact external endpoints, or exfiltrate data.
安装机制
There is no install spec and no code files — the skill is instruction-only, which minimizes risk because nothing is written to disk or executed automatically.
证书
The skill requests no environment variables, credentials, or config paths — this is proportional to an offline planning/template skill.
持久
always:false and no special privileges requested. The skill can be invoked by the agent (normal default), but it does not request permanent presence or modify other skills/configs.
综合结论
This appears to be a safe, instruction-only sprint-planning template. Before installing: (1) confirm you are comfortable with the publisher since the package metadata lacks a verified homepage; (2) do not paste secrets, credentials, or PII into backlog inputs you hand to the agent; (3) if you want integrations (Jira, Trello, GitHub), expect additional credentials will be required by those integrations — this skill does not request them; (4) tr…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Sprint Planner」。简介：Generates agile sprint plans with capacity math, prioritized backlog, sprint go…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-sprint-planner/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# 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.