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ysskrishnaysskrishna/ai-agent-skills/skills/five-whys/SKILL.md

five-whys

Skill20 starsChanged 28 days agoMITView on GitHub

Use for the 5 Whys, or when the user wants the root cause of a failure: "why did this happen?", "this keeps breaking", "write the postmortem", "find the real cause". Asks why repeatedly with evidence at each step, then sets countermeasures. Skip for one-off typos or when the cause is already proven.

8 other projects use a version of this.

Adopted by

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The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Gather first: Read logs, commits, tickets, timelines and configs before answering any "why".

    line 26
  2. Distinctive:

    Write the problem, then ask why.

    line 32
  3. Distinctive:

    Reverse test: read the chain from the bottom up with "therefore".

    line 41
  4. Distinctive:

    Stop test: if the last answer is "human error", "not enough time" or "bad luck", ask why once more.

    line 42
  5. Distinctive:

    When one "why" has several valid answers, follow each as its own chain.

    line 46
  6. Distinctive:

    Contain: stop the damage now.

    line 50
  7. Distinctive:

    Fix: remove the cause.

    line 51

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Five Whys

A root-cause method from the Toyota Production System. Ask "why" of the previous answer until you reach a cause you can change, and check each link with evidence.

When to use

  • An incident, outage, defect, missed deadline or process failure needs its real cause.
  • A problem repeats after quick fixes.
  • A postmortem or retrospective needs a causal chain, not a list of symptoms.

Skip: a typo or one-line bug whose cause is already visible, or questions about metrics that need data analysis rather than a causal chain.

Before you start

  1. State in one block: Problem statement (what happened, where, when, impact, in observable terms) and Pass (Chain, Check, Branch if needed, Countermeasures).
  2. Gather first. Read logs, commits, tickets, timelines and configs before answering any "why". Mark each answer verified (you saw evidence) or hypothesis (plausible, not yet checked). Ask up to 3 questions only for facts tools cannot reach.
  3. Light path. Small ask: the chain in 3-5 lines, one countermeasure per root cause.

Steps

1. Chain

Write the problem, then ask why. Each "Why" answers the previous answer, not the original problem.

#Why did that happen?StatusEvidence
1...verified / hypothesisfile, log line, ticket

Five is a guide. Stop earlier or later when you reach a cause that is (a) within the team's control and (b) such that fixing it would have prevented the problem.

2. Check

  • Reverse test: read the chain from the bottom up with "therefore". Each step must follow from the one below.
  • Stop test: if the last answer is "human error", "not enough time" or "bad luck", ask why once more. These describe a missing safeguard, not a cause.
  • Mark any link still hypothesis; list how to verify it.

3. Branch (only if causes split)

When one "why" has several valid answers, follow each as its own chain. If the causes spread across many areas, group them under People, Process, Tools, Environment, Data or Measurement (a fishbone view) and chain the top two or three.

4. Countermeasures

For each root cause:

  • Contain: stop the damage now.
  • Fix: remove the cause.
  • Prevent: a check or guardrail so it cannot recur.
  • Owner and date, or "to be assigned".

Pitfalls

  • Jumping to a favorite cause and filling the chain backward to justify it.
  • Asking "who" instead of "why". Blame ends the chain early; look for the missing safeguard.
  • Single-chain thinking on a complex failure. Branch when there are several causes.
  • Stopping at a cause nobody can change (for example "the vendor was down") without asking why there was no fallback.
  • Treating hypothesis rows as findings in the summary.

Worked example: references/example.md.

Checklist

  • Problem statement is observable (what, where, when, impact)
  • Each why answers the previous answer; each row is verified or hypothesis
  • Reverse test passed; no chain ends at "human error"
  • Branches followed where causes split
  • Countermeasures cover contain, fix, prevent, with owners

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