plugins/faos-pm/skills/pre-mortem/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: pre-mortem description: Structured risk analysis that imagines launch failure and works backward to identify threats. Use when preparing for a product launch, major release, or any high-stakes initiative. tags: [risk, launch, planning, product-management] --- # Pre-Mortem A structured risk identification technique: imagine the product **has already failed**, then work backward to identify what went wrong — before it actually
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-pm/skills/pre-mortemInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A structured risk identification technique: imagine the product has already failed, then work backward to identify what went wrong — before it actually does.
Traditional risk planning asks "what could go wrong?" which triggers optimism bias. Pre-mortems flip the frame: "It failed. Why?" — which activates prospective hindsight and surfaces risks people are reluctant to raise.
Read and reference the following (if available):
Start with this prompt to the team (or yourself):
"Imagine it's 6 months from now. This initiative has failed spectacularly. Customers are unhappy, metrics haven't moved, and leadership is asking what went wrong. What happened?"
Generate 10–15 potential failure causes without filtering. Include:
Categorize every risk into one of three types:
Tigers — Real, evidence-backed risks that require action
Paper Tigers — Concerns that seem scary but are manageable
Elephants — Unspoken risks nobody wants to discuss
For each Tiger, classify urgency:
| Urgency | Definition | Action Required | |---------|-----------|----------------| | Launch-Blocking | Must solve before launch or initiative is at serious risk | Mitigation plan required NOW | | Fast-Follow | Can launch, but must address within 30 days post-launch | Assign owner, set deadline | | Track | Monitor with defined triggers; act if situation changes | Define monitoring metric and threshold |
For each launch-blocking Tiger, produce:
### Tiger: [Risk Description]
**Evidence**: Why we believe this is real
**Impact if unmitigated**: What happens if we ignore it
**Mitigation plan**:
1. [Specific action]
2. [Specific action]
3. [Specific action]
**Owner**: [Name/Role]
**Due date**: [Date — must be before launch]
**Success criteria**: How we know the risk is mitigated
## Pre-Mortem Summary
**Initiative**: [Name]
**Launch date**: [Date]
**Pre-mortem date**: [Today]
**Participants**: [Names/Roles]
---
### Launch-Blocking Tigers (Must Resolve)
| # | Risk | Impact | Mitigation | Owner | Due |
|---|------|--------|------------|-------|-----|
| 1 | [risk] | [impact] | [action] | [who] | [when] |
### Fast-Follow Tigers (Resolve Within 30 Days)
| # | Risk | Impact | Mitigation | Owner | Due |
|---|------|--------|------------|-------|-----|
| 1 | [risk] | [impact] | [action] | [who] | [when] |
### Tracked Risks (Monitor)
| # | Risk | Monitoring Metric | Trigger Threshold | Owner |
|---|------|------------------|-------------------|-------|
| 1 | [risk] | [metric] | [threshold] | [who] |
### Paper Tigers (Acknowledged, No Action)
- [risk] — Why it's manageable: [reason]
### Elephants (Surfaced, Needs Discussion)
- [risk] — Why this matters: [reason]
---
### Decision
- [ ] **GO** — All launch-blocking Tigers mitigated
- [ ] **CONDITIONAL GO** — Launch-blocking Tigers have plans, not yet resolved
- [ ] **NO-GO** — Unresolved launch-blocking Tigers, delay recommended
| Avoid | Why | Instead | |-------|-----|---------| | Skipping Elephants | The unsaid risks are often the most dangerous | Create psychological safety, use anonymous input | | All risks are Tigers | If everything is critical, nothing is | Force classification — most risks are Paper Tigers | | No owners assigned | Unowned risks never get mitigated | Every Tiger needs a named owner and due date | | Running too early | Pre-mortem needs a concrete plan to evaluate | Run after PRD/architecture, before execution | | Running too late | No time to mitigate launch-blocking risks | Run 2–4 weeks before launch, not the day before | | Optimism creep | Team agrees risks exist but "we'll figure it out" | Demand specific mitigation actions, not vague reassurances |
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-mlflow-evaluation --- # MLflow 3 GenAI Evaluation ## Before Writing Any Code 1. **Read GOTCHAS.md** - 15+ common mistakes that cause failures 2. **Read CRITICAL-interfaces.md** - Exact API signatures and data schemas ## End-to-End Workflows Follow these workflows based on your goal. Each step indicates which reference files to read. ### Workflow 1: First-Time Evaluation Setup For users new to MLflow GenAI evalu
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-lakebase-provisioned --- # Lakebase Provisioned Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. ## When to Use Use this skill when: - Building applications that need a PostgreSQL database for transactional workloads - Adding persistent state to Databricks Apps - Implementing reverse ETL from Delta Lake to an operational database - Storing chat/agent m
tools
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development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-genie --- # Databricks Genie Create and query Databricks Genie Spaces - natural language interfaces for SQL-based data exploration. ## Overview Genie Spaces allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally. ## When to Use This Skill Use this skill when: -