本文へ移動
cccskills
無料GitHub で公開

pmstudio-recovery

Generate detailed service restoration runbooks with step-by-step procedures. Use when someone asks to "create recovery procedures", "restoration runbook", "recovery steps", "how to restore service", or needs tactical step-by-step procedures for recovering from disaster scenarios. This is the execution companion to the DR plan — DR defines what and when, recovery-plan defines exactly how. Requires a DR plan to exist (will prompt to run /pmstudio-dr first if missing).

インストール方法を見る

含まれるファイル(1)

  • SKILL.md5.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Recovery Plan — Service Restoration Runbooks

Purpose

Generates step-by-step runbooks for each disaster scenario defined in the DR plan. These are tactical execution documents — meant to be followed during an actual incident by someone who may not be the person who wrote the plan.

Prerequisites

Hard dependency: A DR plan must exist at Operational/DR-Plan-*.html. If not found, respond:

"No DR plan found for this project. The recovery plan is built from DR plan scenarios and RTO/RPO targets. Run /dr-plan first to create one, then run /recovery-plan to generate the runbooks."

Process

Step 1: Read Context

Required:

  • Operational/DR-Plan-*.html — scenarios, RTO/RPO targets, dependencies, communication plan
  • CLAUDE.local.md — architecture, contacts, integrations

Optional (enriches the runbooks):

  • Operational/IRP-*.html — escalation matrix, communication templates
  • PRD/*.html — integrations detail, technical considerations
  • Architecture/ — system diagrams for reference

Step 2: Extract Scenarios

From the DR plan, extract:

  • Each disaster scenario (name, description, trigger condition)
  • RTO/RPO targets per component
  • Dependencies and contacts
  • Manual workarounds

Step 3: Generate Runbooks

Output: Operational/Recovery-Procedures-{ProductName}-{Date}.html

Self-contained HTML. Zero CDN dependencies — this must work offline during recovery.

Structure: One runbook per disaster scenario, plus a general section.

General Section:

## Before Any Recovery

### Emergency Contacts
| Role | Name | Phone | Email |
|------|------|-------|-------|
| PM / Incident Commander | ... | ... | ... |
| Technical Lead | ... | ... | ... |
| Vendor Support | ... | ... | ... |
| Security POC | ... | ... | ... |

### Tools Needed
- Access to vendor admin console
- Access to monitoring/status page
- Access to communication channel (Slack/Teams/email)
- Access to backup location (Snowflake/SharePoint)

### Recovery Principles
1. Communicate first, then fix
2. Document every action and timestamp
3. Verify each step before proceeding to next
4. If stuck for >15 minutes on any step, escalate

Per-Scenario Runbook:

## Scenario: {Name}

**Trigger:** {How you know this is happening}
**Target RTO:** {time} | **Target RPO:** {time}
**Severity:** {from IRP if exists}

### Pre-Conditions
- [ ] Incident declared and logged
- [ ] Incident Commander assigned
- [ ] Stakeholders notified (initial)

### Recovery Steps

| # | Action | Owner | How to Verify | Est. Time |
|---|--------|-------|--------------|-----------|
| 1 | {action} | {role} | {verification} | {minutes} |
| 2 | ... | ... | ... | ... |

**Cumulative time: {sum} — within RTO: {yes/no}**

### Decision Points
- After step N: If {condition}, go to step M instead
- After step N: If {condition}, escalate to {person}

### Verification Checklist
- [ ] Service accessible to users
- [ ] Data integrity confirmed (spot-check N records)
- [ ] All integrations responding
- [ ] No error alerts in last 15 minutes
- [ ] Stakeholders notified of restoration

### If Recovery Fails
- At step N: {rollback action}
- Escalation: {who to call}
- Alternative: {manual workaround from DR plan}

### Post-Recovery
- [ ] Update incident log with recovery timeline
- [ ] Schedule PIR within 48 hours
- [ ] Document any deviations from this runbook
- [ ] Update this runbook with lessons learned

Step 4: Validate Timing

For each runbook, sum the estimated step times. Compare to RTO:

  • If total < RTO: Good.
  • If total > RTO: Flag as risk. Ask user: "Steps total {X} but RTO is {Y}. Should we adjust the RTO or find ways to parallelize steps?"

Step 5: Present for Review

Show all runbook outlines with step counts and timing. Ask for approval before writing.

Critical Rules

  1. Written for execution, not understanding. Each step should be a clear action ("Open {URL} and click Settings > Backup > Export"), not a description ("The admin should initiate a backup process").
  2. Every step has verification. Don't move to step N+1 without confirming step N succeeded.
  3. Include decision trees. Real recovery rarely follows a straight line. Document branch points.
  4. Timing must be realistic. Don't estimate "1 minute" for something that requires vendor response. Use pessimistic estimates.
  5. Offline-capable. Zero CDN dependencies. Print-friendly CSS. Someone may be reading this on a phone with spotty internet.
  6. Contacts are phone numbers, not just emails. During a crisis, email is slow. Include phone numbers for all critical contacts.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5462026年10月11日 更新

Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5462026年10月11日 更新

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5462026年10月11日 更新

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5462026年10月11日 更新

Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5462026年10月11日 更新

Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5462026年10月11日 更新

coco-research のスキルをすべて見る

このスキルの問題を報告する