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Pmstudio Recovery

Community
coco-research
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).

Overview

Publishercoco-research
Repositorycoco
Skill namepmstudio-recovery
Stars
550
Forks
12
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by coco-research on GitHub. Read the source before you install it.

Installation

Install the Pmstudio Recovery AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/coco-research/coco/tree/main/skills/recovery-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/coco-research/coco.git /tmp/coco
mkdir -p .claude/skills
cp -r /tmp/coco/skills/recovery-plan .claude/skills/pmstudio-recovery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pmstudio Recovery in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pmstudio Recovery on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pmstudio Recovery is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

markdown
## 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:

markdown
## 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.

Frequently asked questions

What does the Pmstudio Recovery AI skill do?

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).

Why use Pmstudio Recovery on TypingMind?

Because you install it once and use it with any model. Pmstudio Recovery is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pmstudio Recovery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coco-research/coco/tree/main/skills/recovery-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pmstudio Recovery?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pmstudio Recovery?

As many as you like. As long as a model supports skills, you can use Pmstudio Recovery with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pmstudio Recovery AI skill free?

It is published on GitHub by coco-research. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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