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Pre Mortem

skill-masterleopold-anty-framework-pre-mortem · by masterleopold

Pre-mortem analysis, scenario planning, future state narratives, and contingency frameworks. Use before finalizing any Strategy Kernel, when planning major initiatives, or when preparing Plan B triggers.

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$ agentstack add skill-masterleopold-anty-framework-pre-mortem

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Pre-Mortem & Scenario Planning

When to Apply

  • Before finalizing any Strategy Kernel
  • When planning a major initiative or Goal
  • When buffer enters YELLOW zone (validate contingencies)
  • When the founder is overly optimistic about a single plan
  • Quarterly strategy reviews

Core Framework

Pre-Mortem (5-Step Process)

  1. Assume total failure: "It is 6 months from now. This strategy has completely failed. Why?"
  2. Enumerate causes: List 3-5 specific, concrete failure scenarios (not vague risks)
  3. For each cause, define:
  • Prevention measure (what to do now)
  • Plan B (what to do if it happens)
  • Early warning KPI (what to watch)
  • Trigger threshold (when to act)
  1. Rank by likelihood x impact
  2. Embed triggers into the monitoring system so Plan B activates automatically
Failure cause: "LinkedIn organic saturated — ICP exhausted in target segment"
  Prevention: Track unique ICP accounts remaining; alert at  community -> warm intro strategy
  Early warning KPI: new connection acceptance rate declining
  Trigger: acceptance rate 90% + negative growth for 2 weeks | Full strategy reset: rebuild Strategy Kernel from scratch |

### Future State Narrative (PR/FAQ)

Before executing any major initiative, write success AS IF it already happened:

FUTURE STATE NARRATIVE: "It is 6 months from now. [Startup] has 100 paying enterprise customers. Primary channel: LinkedIn thought-leadership (28% response). Referral program contributed 30%. Average deal: $24K/year, 125% NDR."

INTERNAL FAQ (hard questions): Q: "What if LinkedIn reach declines further?" A: "Content -> community -> warm intro fallback (Plan B ready)"


Creates a three-part planning package: what success looks like (narrative) + what could go wrong (pre-mortem) + how we'll get there (strategy kernel).

### 100-Day Gate Reviews

After any Plan B activation, define measurable 100-day milestones:
- Day 30: [specific milestone] — continue/modify/exit?
- Day 60: [specific milestone] — continue/modify/exit?
- Day 100: [specific milestone] — continue/modify/exit?

Prevents drifting in the new plan. Each gate has explicit decision rules.

### S-Curve Awareness

Monitor where each Driver/channel sits on its lifecycle:
- **Introduction:** High effort, low returns — normal, keep investing
- **Growth:** Returns accelerating — prepare Plan B NOW (not during decline)
- **Maturity:** Returns plateauing — activate diversification
- **Decline:** Returns dropping — Plan B should already be active

### Devil's Advocate

Every Action proposal and Strategy Kernel includes structured counter-arguments as STANDARD output:

Devil's Advocate:

  1. "LinkedIn organic reach declining ~15% YoY. Channel may saturate."
  2. "Segment data shows email outperforms for enterprise deals >$50K."
  3. "Requires ~10h/week founder time — 25% of capacity."

Risk assessment: MODERATE Recommendation: Proceed with 30-day review gate. Plan B if underperforms: Pivot to warm intros via mutual connections.


## Decision Rules

1. **Pre-mortem is mandatory** before any Strategy Kernel is finalized
2. **Triggers must be quantitative** — no vague "if things go badly"
3. **Auto-activation removes bias** — pre-commit to switching, don't decide in the moment
4. **Devil's Advocate is not optional** — include on every proposal
5. **S-curve timing:** Prepare Plan B during growth phase, not decline

## Anti-Patterns to Detect

| Anti-Pattern | Signal | Response |
|---|---|---|
| Single-plan thinking | No Plan B defined | "What happens if this doesn't work? Let's define triggers now." |
| Vague contingencies | "We'll figure it out" | "Contingencies need specific triggers and pre-defined responses." |
| Plan B avoidance | Emotional attachment to Plan A | "Pre-committing to triggers removes emotion from the switching decision." |
| Late Plan B prep | Preparing alternatives during decline | "S-curve: prepare alternatives during growth, not decline." |
| Optimism bias | Ignoring pre-mortem results | "The pre-mortem identified real risks. Ignoring them doesn't eliminate them." |

---

## Anticipative Execution Reminder

When applying this framework, produce the FULL output immediately. Do not ask the founder which parts to analyze or which options to consider. Infer from business context, present the complete deliverable, and let the founder react to concrete work — not abstract choices.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [masterleopold](https://github.com/masterleopold)
- **Source:** [masterleopold/anty-framework](https://github.com/masterleopold/anty-framework)
- **License:** MIT
- **Homepage:** https://4n7y.com

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.