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S4h Historical Failure Analysis

Organization
human-avatar
s4h-historical-failure-analysis

Extracts recurring failure modes from similar past situations — most failures have happened before in recognisable patterns. TRIGGERS: 'what usually goes wrong', 'failure pattern analysis', 'how do these typically fail', 'what went wrong last time', 'avoid past mistakes'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-historical-failure-analysis
Stars
234
Forks
24
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by human-avatar on GitHub. Read the source before you install it.

Installation

Install the S4h Historical Failure Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-historical-failure-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git /tmp/skills-for-humanity
mkdir -p .claude/skills
cp -r /tmp/skills-for-humanity/skills/s4h-historical-failure-analysis .claude/skills/s4h-historical-failure-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Historical Failure Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads S4h Historical Failure Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so S4h Historical Failure Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Historical Failure Analysis

Post-mortems reveal the same failure modes repeating across organisations, industries, and eras. Execution failure at handoff. Stakeholder misalignment discovered too late. Scope expansion under pressure that destroys the original design. Underestimated dependencies that required other things to change first. The failure modes aren't a mystery — they just don't get applied prospectively. This skill does that: surfaces which patterns are present now, before they become post-mortem findings.


Your Process

Step 1: Describe the Type of Endeavour What kind of thing is this? A product launch, an organisational transformation, a technology implementation, a partnership negotiation, a strategic pivot, a scaling operation. Describe it in type terms — this determines which failure mode library to draw from.

Framing check: Confirm the specific endeavour before continuing. State what you've identified — the type of endeavour and its key parameters (scale, stage, domain) — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the endeavour type and context]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Step 2: Identify Common Failure Modes for This Type What do post-mortems and retrospectives reveal about this category? Draw from known patterns:

  • Underestimated dependencies — other things had to change first (systems, processes, people, culture) that weren't included in the plan
  • Stakeholder misalignment discovered late — different parties had different success criteria never surfaced and reconciled before execution
  • Scope expansion under pressure — original constraints abandoned to satisfy requests; produces a thing that does everything adequately and nothing well
  • Execution failure at handoff — clear plan, unclear ownership across transition points where accountability transfers
  • Context assumption failure — the plan was designed for conditions that changed before or during execution
  • Resource attrition — key people, budget, or attention lost before the initiative reached self-sustaining momentum
  • Feedback loop absence — no early signal mechanism to detect problems while correction was still possible

Step 3: Test Each Against the Current Situation For each failure mode: is it present in current conditions? What are the specific early warning signs that would indicate it is activating? Be concrete — not "stakeholder misalignment might occur" but the specific evidence of it that is or isn't visible right now.

Step 4: Rank by Probability Times Impact Before narrowing: Show the complete set of failure modes identified in Step 3 to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] failure modes present in current conditions. Before I select the highest priority, are there any you'd flag as especially critical, or any I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific failure mode to include in the top tier
    • Add a missing one — user will describe a pattern not yet identified

Which failure modes pose the greatest risk given both their likelihood in this specific situation and their consequence if they occur? Use H/M/L ratings for each dimension. Priority is the product — a medium-probability, high-impact failure mode outranks a high-probability, low-impact one.

Step 5: Pre-emptive Actions for the Top Three For the top 3 by probability × impact: what specific action taken now — before the failure mode activates — would reduce its probability or limit its damage?


Human Check-in

Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:

  • Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
  • Header: "Scope"
  • Options:
    • Full analysis — Complete all steps, reasoning shown throughout
    • Key findings only — Bottom-line output, skip step-by-step detail
    • Recurring failure modes only — Patterns that appear across multiple historical cases
    • Reframe — The read is off; correct it and the analysis will follow the corrected framing

Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.

Output Format

Failure Mode Table

Failure ModeTypical CauseEarly Warning SignsPresent?ProbabilityImpactPriority
[mode name][root cause][observable signals][Y/N/partial][H/M/L][H/M/L][rank]

Top 3 Failure Modes

For each of the top 3:

  • Mode: [name]
  • Why it's high priority here: [specific reasoning for this situation]
  • Pre-emptive action: [concrete step, named owner, specific timing]

Notes

The goal is not exhaustive risk listing — a long list produces paralysis, not prevention. Identify the 2-3 failure modes most likely to be fatal to this specific endeavour and act on them now. The ones not in the top 3 are worth monitoring but not worth significant pre-emptive effort.


What's Next

After delivering this output, use AskUserQuestion to offer the next move:

  • Question: "Historical failures analysed. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-decision-premortem-analysis — Apply historical failure patterns to the current decision
    • /s4h-constraint-hardness-testing — Test which historical failure causes are still hard constraints today
    • /s4h-strategy-positioning — Position to avoid repeating historical failure modes
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Historical Failure Analysis AI skill do?

Extracts recurring failure modes from similar past situations — most failures have happened before in recognisable patterns. TRIGGERS: 'what usually goes wrong', 'failure pattern analysis', 'how do these typically fail', 'what went wrong last time', 'avoid past mistakes'.

Why use S4h Historical Failure Analysis on TypingMind?

Because you install it once and use it with any model. S4h Historical Failure Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install S4h Historical Failure Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-historical-failure-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Historical Failure Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with S4h Historical Failure Analysis?

As many as you like. As long as a model supports skills, you can use S4h Historical Failure Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the S4h Historical Failure Analysis AI skill free?

Yes. It is published on GitHub by human-avatar under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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