Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use before launches, major decisions, or risky initiatives to surface hidden risks.
npx skills add https://github.com/neurofoo/agent-skills --skill premortem
Imagine the plan has completely failed, then work backward to identify what went wrong and how to prevent it.
Set the scene: "It's [timeframe] in the future. This initiative was a complete disaster. Looking back, what happened?"
Generate failure scenarios without filtering for likelihood—get everything on the table first, then prioritize.
The Plan
Summarize what's being attempted and the success criteria.
Time Jump
"It's [X months] later. This has failed completely. The outcome: [describe the disaster vividly]."
What Went Wrong
Generate 8-12 plausible failure causes across categories:
| Category | Failure Mode | How It Played Out |
|----------|--------------|-------------------|
| Execution | [What failed] | [The story of how] |
| External | [What failed] | [The story of how] |
| People | [What failed] | [The story of how] |
| Technical | [What failed] | [The story of how] |
| Assumptions | [What failed] | [The story of how] |
Risk Prioritization
| Failure Mode | Likelihood | Impact | Priority |
|--------------|------------|--------|----------|
| ... | High/Med/Low | High/Med/Low | 1-5 |
Top 3 Risks & Mitigations
For each top risk:
Pre-Mortem Insights
What did this exercise reveal that wasn't obvious before?
Revised Confidence
After this analysis, how confident are you in success? What would increase confidence?
$ARGUMENTS
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take neurofoo/premortem from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.