Agent skill

Pre Mortem

by borghei in borghei/Claude-Skills

Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.

MITAuto-check passedProduct & Project Management

Install Pre Mortem

skills CLI
$ npx skills add borghei/Claude-Skills --skill pre-mortem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills pre-mortem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/project-management/discovery/pre-mortem .claude/skills/pre-mortem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pre-mortem
GitHub stars
874
Token cost
~1.4k tokens
SKILL.md length
571 words
Files
7 (incl. scripts, references, assets)
Skills in repo
364
Repo updated
First seen
Licence
MIT

At a glance

Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.

  • Product & Project Management work in your project
  • SKILL.md covers Overview, Core Capabilities, When to Use and Clarify First, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Pre Mortem is an agent skill from borghei/Claude-Skills. Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/pre_mortem_template.md`, `examples/shared-dashboards-v1-pre-mortem.md` and `references/methodology-and-tools.md`).

It sits in Product & Project Management. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Product & Project Management work in your project

Example prompts

  • “/pre-mortem”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pre Mortem loads about 1.4k tokens when it runs, and up to ~9.9k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 571 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 571 words, ~1,419 tokens.

Download SKILL.mdSave it as .claude/skills/pre-mortem/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
pre-mortem
description
Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.
license
MIT + Commons Clause
metadata.version
1.0.1
metadata.author
borghei
metadata.category
project-management
metadata.domain
product-discovery
metadata.updated
2026-06-15
metadata.python-tools
risk_categorizer.py
metadata.tech-stack
pre-mortem, risk-analysis, gary-klein, prospective-hindsight

Pre-Mortem Risk Analysis Expert

Overview

A pre-mortem is a prospective hindsight exercise: imagine that your product has launched and failed, then work backward to identify why. This skill uses the Tiger / Paper Tiger / Elephant classification to categorize risks by type and urgency, ensuring launch-blocking issues are addressed before launch while avoiding wasted effort on unlikely risks.

Core Capabilities

  • Prospective hindsight framing — "It is 14 days after launch, and we failed. Why?" surfaces specific, honest risks.
  • Tiger / Paper Tiger / Elephant classification — separate real evidenced risks (Tigers) from anxiety (Paper Tigers) and unspoken concerns (Elephants).
  • Urgency triage — tag each Tiger Launch-Blocking, Fast-Follow, or Track with owner and decision date.
  • 6-phase facilitation — scene-setting, silent generation, cluster, classify, mitigate, address elephants in 60-90 minutes.
  • Automated categorization — risk_categorizer.py summarizes distribution and flags elephants needing escalation.

When to Use

  • Before committing significant resources to build (post-ideation, post-validation).
  • Before a major launch, migration, or architectural change.
  • When the team has "a bad feeling" they cannot articulate.
  • When stakeholder confidence is high and you need to stress-test it.

Clarify First

Before running the pre-mortem, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • The thing being stress-tested — the specific launch/build/migration that "failed 14 days after launch" (anchors the prospective-hindsight framing)
  • Failure horizon — the date/milestone you imagine looking back from (a vague horizon produces vague risks)
  • Who's in the room — the 4-8 participants and whether psychological safety exists (elephants only surface with candor and the right people)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

bash
python3 scripts/risk_categorizer.py --demo            # built-in sample (7 risks)
python3 scripts/risk_categorizer.py input.json        # categorize your risks
python3 scripts/risk_categorizer.py input.json --format json

Each risk needs description, category (tiger/paper_tiger/elephant), evidence, and urgency (launch_blocking/fast_follow/track) for tigers. Document the session with assets/pre_mortem_template.md.

Show full SKILL.md (281 more words)Show less

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/methodology-and-tools.md — the thought experiment, full Tiger/Paper Tiger/Elephant classification with examples, urgency table, the 6-phase facilitation script, risk_categorizer.py usage and flags, output formats, troubleshooting, success criteria, and bibliography. Read when running or scripting a session.
  • references/pre-mortem-guide.md — Gary Klein's origin and why pre-mortems work, when (and when not) to run one, deep classification criteria across domains, the facilitation timeline, and a worked SaaS launch example. Read for the theory and a full example.
  • references/red-flags.md — 12 anti-patterns (mitigation theater, groupthink, vague risks, over-mitigated elephants, late pre-mortems, missing owners) with bad/good examples and one-line checks. Read before sharing pre-mortem output.

Scope & Limitations

In Scope: prospective hindsight using the "14 days after launch failure" framing; Tiger / Paper Tiger / Elephant classification with urgency levels; automated elephant escalation detection; risk registry generation; facilitation methodology for in-person and remote teams.

Out of Scope: ongoing risk management and tracking (see senior-pm/risk_matrix_analyzer.py); quantitative probability/impact scoring (senior-pm/); product discovery and hypothesis validation (brainstorm-experiments/); technical architecture risk assessment (engineering/ skills).

Important Caveats: most effective with 4-8 participants; the elephant escalation keyword check is a heuristic; pre-mortems complement, not replace, assumption mapping (identify-assumptions/); psychological safety is a prerequisite.

Integration Points

IntegrationDirectionDescription
brainstorm-ideas/Receives fromIdeas that passed initial validation are subject to pre-mortem before full build
brainstorm-experiments/Receives fromPost-experiment, pre-mortem stress-tests the build decision
identify-assumptions/BidirectionalLaunch-blocking tigers may surface new assumptions; elephants often reveal avoided assumptions
execution/create-prd/Feeds intoTiger mitigations become PRD risk sections and assumption validation plans
senior-pm/Feeds intoLaunch-blocking tigers escalate into portfolio risk registers via risk_matrix_analyzer.py
scrum-master/Feeds intoFast-follow tigers become sprint backlog items with mitigation-focused stories

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references, assets) in project-management/discovery/pre-mortem of borghei/Claude-Skills.

  • SKILL.md
  • assets/pre_mortem_template.md
  • examples/shared-dashboards-v1-pre-mortem.md
  • references/methodology-and-tools.md
  • references/pre-mortem-guide.md
  • references/red-flags.md
  • scripts/risk_categorizer.py

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Pre Mortem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pre Mortem compared with similar skills
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Pre Mortem this skillborghei/Claude-Skills874—~1.4kAutomated safety check: PassMIT
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Game Changing FeaturesopenstatusHQ/data-table-filters2.3k3 repos~2.1kAutomated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Convex Create Componentspokvulcan/poker-planning1148 repos~2.6kAutomated safety check: PassMIT
Self Improving Agentfarm-fe/farm5.6k2 repos~3.3kAutomated safety check: NotesMIT

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Questions about Pre Mortem

What does Pre Mortem do?

Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen. Pre Mortem is an agent skill from borghei/Claude-Skills. Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.

When should I use Pre Mortem?

Pre Mortem fits situations like: product & Project Management work in your project.

How do I install Pre Mortem in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill pre-mortem -a claude-code`. Or copy the skill folder (project-management/discovery/pre-mortem in borghei/Claude-Skills) into .claude/skills/pre-mortem in your project. Claude Code loads it when a task matches its description.

How do I install Pre Mortem in Codex?

Run `npx skills add borghei/Claude-Skills --skill pre-mortem -a codex`. Or copy the skill folder (project-management/discovery/pre-mortem in borghei/Claude-Skills) into .agents/skills/pre-mortem in your project. Codex loads it when a task matches its description.

Can I use Pre Mortem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill pre-mortem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pre-mortem, .gemini/skills/pre-mortem, .github/skills/pre-mortem and .opencode/skills/pre-mortem in your project.

What does Pre Mortem need to run?

Going by SKILL.md and its folder, Pre Mortem needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Pre Mortem access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Pre Mortem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Pre Mortem use?

Pre Mortem is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pre Mortem use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.5k tokens, read only when the agent opens those files.

What are the alternatives to Pre Mortem?

Skills that share tags, products or a category with Pre Mortem: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pre Mortem?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.