create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure…
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
$ npx -y skills add coco-research/coco --skill recovery-plan --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/recovery-planContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: pmstudio-recovery description: 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). domain: ops
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.
**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."
**Required:**
**Optional (enriches the runbooks):**
From the DR plan, extract:
**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 learnedFor each runbook, sum the estimated step times. Compare to RTO:
Show all runbook outlines with step counts and timing. Ask for approval before writing.
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.
CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.
Repo: coco-research/coco
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure…
Guides users through creating effective Agent Skills for Cursor. Use when the user wants to create, write, or author a new skill, or asks about skill…
Create custom subagents for specialized AI tasks. Use when the user wants to create a new type of subagent, set up task-specific agents, configure code…
Convert 'Applied intelligently' Cursor rules (.cursor/rules/*.mdc) and slash commands (.cursor/commands/*.md) to Agent Skills format (.cursor/skills/). Use…
Modify Cursor/VSCode user settings in settings.json. Use when the user wants to change editor settings, preferences, configuration, themes, font size, tab…
Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents…