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Agent Skill · 研究检索

gameday-planning(比赛日规划)

gameday-planning 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

gameday-planning 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 68,490。

总安装 233周安装 10GitHub Stars 61下载 82核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gameday-planning(比赛日规划)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/gameday-planning
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill gameday-planning
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill gameday-planning

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

gameday-planning 用于查找、检索和筛选相关信息。适用于根据关键词或任务场景快速定位候选结果的场景。支持在 Codex、Claude、Cursor、Gemini CLI 中调用。安装前应核实权限、维护状态及是否涉及网络或命令执行。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/gameday-planning

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/melodic-software/claude-code-plugins --skill g…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gameday-planning 怎么安装?

在终端执行 npx skills add https://github.com/melodic-software/claude-code-plugins --skill gameday-pla…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gameday-planning 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gameday-planning 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

gameday-planning 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gameday-planning 用的人多吗?

公开数据是累计安装 233 次,近一周安装 10 次,下载 82 次,GitHub 61 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gameday-planning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
gameday-planning

比赛日规划 · 本页

23361需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

GameDay Planning

Comprehensive guide for planning and executing GameDay exercises - organized chaos drills that test system resilience and incident response.

When to Use This Skill

  • Planning GameDay exercises
  • Designing failure scenarios
  • Preparing teams for chaos experiments
  • Running disaster recovery drills
  • Improving incident response readiness

What is a GameDay?

GameDay = Planned chaos exercise for your systems

Like a fire drill, but for infrastructure:
- Scheduled in advance
- Controlled environment
- Practice for real incidents
- Learn and improve

Not chaos engineering:
- GameDay: Scheduled team exercise
- Chaos engineering: Continuous experiments

GameDays include:
- Failure injection
- Incident response practice
- Team coordination
- Runbook validation

GameDay Types

By Scope

1. Component GameDay
   └── Single service or component
   └── Focused scenarios
   └── 2-4 hours

2. Service GameDay
   └── Multiple related services
   └── Integration scenarios
   └── Half day

3. Full System GameDay
   └── Complete system
   └── Disaster scenarios
   └── Full day

4. Cross-Team GameDay
   └── Multiple teams involved
   └── Complex scenarios
   └── 1-2 days

By Objective

1. Resilience validation
   └── Does the system handle failures?

2. Recovery practice
   └── Can we restore from backup?

3. Incident response training
   └── How well do we coordinate?

4. Runbook validation
   └── Do our runbooks work?

5. Capacity testing
   └── What happens under load?

Planning Phase

Timeline Overview

Week -4: Initial planning
├── Define objectives
├── Identify stakeholders
└── Draft scenario ideas

Week -3: Scenario design
├── Detail failure scenarios
├── Define success criteria
└── Identify risks

Week -2: Preparation
├── Review with stakeholders
├── Prepare monitoring
├── Update runbooks
└── Brief participants

Week -1: Final prep
├── Confirm participants
├── Test monitoring
├── Walkthrough scenarios
└── Prepare rollback plans

Day of: Execute
├── Pre-GameDay briefing
├── Run scenarios
├── Document observations
└── Hot debrief

Objective Setting

Good objectives:
- "Validate failover to secondary region works < 5 minutes"
- "Confirm team can diagnose database issues using runbooks"
- "Test load balancer behavior when 50% of nodes fail"

Bad objectives:
- "See what breaks" (too vague)
- "Test everything" (too broad)
- "Find all bugs" (unrealistic)

SMART objectives:
Specific: Clear scenario
Measurable: Defined success criteria
Achievable: Within team capability
Relevant: Tests real risks
Time-bound: Fits in GameDay

Scenario Design

Scenario template:

Name: [Descriptive name]
Type: [Infrastructure/Application/Data/Process]
Duration: [Expected time]

Objective:
What are we testing?

Hypothesis:
"When [fault], the system will [expected behavior]"

Setup:
1. [Pre-condition 1]
2. [Pre-condition 2]

Execution:
1. [Injection step 1]
2. [Injection step 2]

Expected Outcome:
- [Metric] should [behavior]
- [Alert] should [fire/not fire]
- [Recovery] should [happen]

Success Criteria:
□ [Criterion 1]
□ [Criterion 2]

Abort Conditions:
- [Condition] → Stop immediately
- [Condition] → Pause and assess

Rollback Steps:
1. [Rollback step 1]
2. [Rollback step 2]

Common Scenarios

Infrastructure:
□ Kill primary database instance
□ Network partition between zones
□ Full disk on critical service
□ Memory exhaustion
□ Certificate expiration

Application:
□ Deploy bad configuration
□ Overwhelm with traffic
□ Corrupt cache entries
□ Exhaust connection pool
□ API dependency failure

Data:
□ Restore from backup
□ Data corruption detection
□ Replication lag
□ Schema migration failure

Process:
□ Key team member unavailable
□ Credentials rotation
□ Access revocation
□ Runbook-only resolution

Preparation Phase

Stakeholder Communication

Communication plan:

Leadership:
- What: GameDay overview, risks, benefits
- When: Week -3 (approval)
- How: Meeting + document

Participating teams:
- What: Detailed plan, roles, expectations
- When: Week -2 (kickoff)
- How: Meeting + documentation

Adjacent teams:
- What: Notification, potential impact
- When: Week -1
- How: Email + calendar block

On-call:
- What: Extra vigilance, escalation paths
- When: Day before
- How: Briefing + runbook

Participant Briefing

Briefing contents:

1. Objectives
   What are we testing and why?

2. Roles
   Who does what during GameDay?

3. Schedule
   Timeline and scenario order

4. Ground rules
   What's allowed, what's not

5. Safety
   Kill switches, abort conditions

6. Communication
   Channels, updates, escalation

7. Questions
   Clear up any confusion

Monitoring Preparation

Before GameDay:

1. Verify dashboards work
   - All relevant metrics visible
   - Baselines understood

2. Configure extra alerting
   - GameDay-specific alerts
   - Lower thresholds if needed

3. Prepare queries
   - Log queries ready
   - Trace searches prepared

4. Test recording
   - Screen recording if needed
   - Metrics export configured

5. Clear noise
   - Suppress known alerts
   - Reduce background chatter

Safety Measures

Required safety measures:

Kill switches:
- Immediate stop for each scenario
- Multiple people can trigger
- Tested before GameDay

Blast radius limits:
- Maximum affected users/traffic
- Automatic enforcement
- Clear escalation if exceeded

Rollback plans:
- Documented for each scenario
- Tested rollback procedures
- Time-limited scenarios

Communication:
- Dedicated channel
- Clear "STOP" command
- Status page ready to update

Customer protection:
- Synthetic traffic if possible
- Canary approach
- Quick customer comm ready

Execution Phase

Day-of Structure

Typical GameDay schedule:

08:00 - Pre-GameDay briefing
        └── Review objectives, roles, safety

08:30 - Monitoring baseline
        └── Capture normal state

09:00 - Scenario 1
        └── Execute, observe, document

10:30 - Break + quick debrief

11:00 - Scenario 2
        └── Execute, observe, document

12:30 - Lunch break

13:30 - Scenario 3
        └── Execute, observe, document

15:00 - Scenario 4 (if time)

16:00 - Hot debrief
        └── Initial observations

16:30 - Cleanup
        └── Ensure all reverted

Roles During Execution

GameDay Lead:
- Runs the overall exercise
- Makes go/no-go decisions
- Controls pacing
- Manages safety

Scenario Executor:
- Injects faults
- Monitors injection
- Has kill switch
- Reports status

Observers:
- Watch system behavior
- Document findings
- Note unexpected events
- Track metrics

Incident Responders:
- Act as if real incident
- Follow runbooks
- Practice coordination
- Don't know scenarios in advance (optional)

Scribe:
- Records timeline
- Documents decisions
- Captures quotes
- Notes action items

Documentation During

Timeline template:

[TIME] [ACTOR] [ACTION/OBSERVATION]

09:00 GameDay Lead: Starting Scenario 1 - DB failover
09:01 Executor: Triggered primary DB shutdown
09:02 Observer: Alert fired: DB connection errors
09:03 Observer: Failover initiated automatically
09:05 Observer: Secondary promoted to primary
09:07 Responder: Services reconnected
09:10 Observer: Error rate returning to normal
09:12 GameDay Lead: Scenario 1 complete - success

Capture:
- Exact times
- Who did what
- System responses
- Deviations from expected
- Interesting observations

Handling Real Incidents

If real incident occurs during GameDay:

1. STOP GameDay immediately
   "GameDay paused - real incident"

2. Assess the real incident
   Is it related to GameDay?

3. Revert any GameDay changes
   If potentially contributing

4. Handle real incident
   Normal incident process

5. Decide on continuation
   Resume or reschedule GameDay?

Always prioritize real incidents over GameDay.

Follow-Up Phase

Hot Debrief

Immediately after GameDay:

Duration: 30-60 minutes
Participants: All GameDay participants

Agenda:
1. What happened? (5 min per scenario)
   - Timeline walk-through
   - Key observations

2. What worked well?
   - Celebrate successes
   - Note effective practices

3. What didn't work?
   - Issues discovered
   - Gaps in tools/process

4. Initial action items
   - Quick fixes
   - Further investigation needed

5. Next steps
   - Postmortem schedule
   - Owner assignments

Formal Postmortem

Within 1 week of GameDay:

GameDay Postmortem

Executive Summary
Brief overview of objectives, execution, outcomes

Scenarios Executed
| Scenario | Outcome | Key Findings |
|----------|---------|--------------|
| DB failover | Success | 3 min recovery |
| Network partition | Partial | Manual intervention needed |

Detailed Findings

Scenario 1: Database Failover
- Hypothesis: Automatic failover < 5 min
- Result: CONFIRMED (3 min actual)
- Observations: [Details]

Scenario 2: Network Partition
- Hypothesis: Services continue with degraded mode
- Result: PARTIALLY CONFIRMED
- Gap: Service X didn't handle gracefully
- Observations: [Details]

Action Items
| Action | Owner | Priority | Due Date |
|--------|-------|----------|----------|
| Fix Service X partition handling | @engineer | P1 | 2024-02-01 |
| Update runbook for DB failover | @oncall | P2 | 2024-02-15 |

Recommendations for Next GameDay
- [Suggestion 1]
- [Suggestion 2]

Action Item Tracking

Every action item needs:
- Clear description
- Single owner
- Priority level
- Due date
- Definition of done

Track in:
- Issue tracker
- Dedicated dashboard
- Regular review meetings

Don't let action items languish.
The point is to improve.

Best Practices

Planning

1. Start small
   First GameDay should be simple

2. Clear objectives
   Know what you're testing

3. Stakeholder buy-in
   Get approval and support

4. Thorough preparation
   Don't rush the prep work

5. Documented scenarios
   Written plans, not in heads

Execution

1. Safety first
   Kill switches ready

2. Communicate constantly
   Everyone knows what's happening

3. Document everything
   You'll forget otherwise

4. Stay on schedule
   Don't let scenarios run over

5. Be flexible
   Adapt to unexpected situations

Follow-Up

1. Debrief immediately
   Hot debrief same day

2. Formal postmortem
   Within a week

3. Track action items
   Don't let them die

4. Share learnings
   Spread knowledge broadly

5. Plan the next one
   Make it a regular practice

Common Pitfalls

Pitfall: Scope creep
Fix: Strict scenario limits, time boxes

Pitfall: Insufficient preparation
Fix: Checklists, dry runs

Pitfall: No safety measures
Fix: Required kill switches, abort criteria

Pitfall: Skipping documentation
Fix: Dedicated scribe, templates

Pitfall: Orphaned action items
Fix: Tracked, owned, reviewed

Pitfall: Infrequent GameDays
Fix: Quarterly schedule, smaller scope

Maturity Progression

Level 1: Ad-hoc
- First GameDay
- Simple scenarios
- Manual execution

Level 2: Regular
- Quarterly GameDays
- Multiple scenarios
- Basic automation

Level 3: Integrated
- Monthly GameDays
- Complex scenarios
- Good documentation
- Action item tracking

Level 4: Continuous
- Weekly smaller drills
- Quarterly large GameDays
- Automated scenarios
- Metrics-driven improvement

Related Skills

  • chaos-engineering-fundamentals - Continuous chaos experiments
  • incident-response - Handling real incidents
  • resilience-patterns - Building resilient systems

平台分布

Antigravity

30.42%
按下载量换算25

trae

24.79%
按下载量换算20

windsurf

18.98%
按下载量换算16

Claude Code

11.96%
按下载量换算10

Codex

8.06%
按下载量换算7

Gemini CLI

3.84%
按下载量换算3

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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