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Agent skill

Wtf

by citypaul in citypaul/.dotfiles

Re-explain the immediately previous LLM response when it did not land, using plain, precise UK English.

MITAuto-check passed

Install Wtf

skills CLI
$ npx skills add citypaul/.dotfiles --skill wtf -a claude-code

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

GitHub CLI
$ gh skill install citypaul/.dotfiles wtf --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/citypaul/.dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/claude/.claude/skills/wtf .claude/skills/wtf && 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
wtf
GitHub stars
740
Token cost
~681 tokens
SKILL.md length
351 words
Files
4 (incl. references)
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

Re-explain the immediately previous LLM response when it did not land, using plain, precise UK English.

  • Works in 8 steps: Read the immediately previous LLM… → If the response uses domain terms, first… → Use only the glossary that owns the… → …
  • SKILL.md covers Procedure, Writing Rules, Clarity Controls and Completion Criterion, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wtf is an agent skill from citypaul/.dotfiles. Re-explain the immediately previous LLM response when it did not land, using plain, precise UK English.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml` and `references/source-notes.md`).

The licence is MIT.

Example prompts

  • “/wtf”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Read the immediately previous LLM response.
  2. If the response uses domain terms, first inspect repository guidance for its declared glossary authority and bounded-context scope. If…
  3. Use only the glossary that owns the relevant context to select canonical terms and meanings.
  4. Re-explain the previous response with a clearer structure and simpler wording.
  5. Preserve its meaning and all relevant technical details.
  6. Keep the explanation about the previous response.
  7. Do not perform a new task.
  8. Do not introduce information from the terminology files that the previous response did not contain.

What it can do on your machine

Read from SKILL.md and the folder at commit cd4028d. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Wtf loads about 681 tokens when it runs, and up to ~860 if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 351 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~681
With references · SKILL.md plus every file in references/, read only if the agent opens them
~860

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from citypaul/.dotfiles at commit cd4028d, republished under its MIT licence (© citypaul). 351 words, ~681 tokens.

Download SKILL.mdSave it as .claude/skills/wtf/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
wtf
description
Re-explain the immediately previous LLM response when it did not land, using plain, precise UK English.
disable-model-invocation
true

WTF

Use this skill when the immediately previous response from an LLM was unclear, too dense, or difficult to follow.

Procedure

  1. Read the immediately previous LLM response.
  2. If the response uses domain terms, first inspect repository guidance for its declared glossary authority and bounded-context scope. If none is declared, check common locations such as CONTEXT.md, GLOSSARY.md, UBIQUITOUS_LANGUAGE.md, and *.glossary.yml without creating a new convention.
  3. Use only the glossary that owns the relevant context to select canonical terms and meanings.
  4. Re-explain the previous response with a clearer structure and simpler wording.
  5. Preserve its meaning and all relevant technical details.
  6. Keep the explanation about the previous response.
  7. Do not perform a new task.
  8. Do not introduce information from the terminology files that the previous response did not contain.

Writing Rules

Write in a style inspired by ASD-STE100 Simplified Technical English.

  • Use active voice.
  • Use plain UK English.
  • Write for a reading level between Key Stage 4 and Further Education.
  • Use the same term for the same concept throughout the explanation.
  • Use precise and technically accurate wording.
  • Use short sentences where possible.
  • Use the imperative form for direct instructions.
  • Put one main action in each sentence.
  • Define an uncommon abbreviation or specialist term when it first appears.
  • Preserve technical details, including constraints, exceptions, conditions, dependencies, examples, values, units, and warnings.
  • Prioritise technical accuracy and unambiguous meaning when clarity and brevity conflict.
Show full SKILL.md (115 more words)Show less

Clarity Controls

  • Put each prerequisite, condition, warning, or limitation before the action to which it applies.
  • Use the exact nouns from the previous response for files, commands, components, and values.
  • Replace vague pronouns with the specific subject.
  • Remove idioms, unnecessary synonyms, ambiguous references, and complex noun clusters.
  • Do not add information that is not present in the previous response.
  • State uncertainty when the previous response was uncertain.

Completion Criterion

The new explanation is complete when it re-explains the immediately previous LLM response, preserves its meaning and relevant technical details, and uses clearer plain language without starting new work.

Attribution

Adapted from Adam Bulmer's MIT-licensed Mintuz wtf skill at pinned revision e436942ef328e692567300dba51424c68850ab12. See references/source-notes.md and LICENSE.

© citypaul, 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 3 other files (references) in claude/.claude/skills/wtf of citypaul/.dotfiles.

  • SKILL.md
  • LICENSE
  • agents/openai.yaml
  • references/source-notes.md

Open the folder on GitHubat commit cd4028d

Compare with similar skills

Wtf 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.

Wtf compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wtf this skillcitypaul/.dotfiles740—~681Automated safety check: PassMIT
WTF Plain-Language ExplainerEveryInc/compound-engineering-plugin25k—~549Automated safety check: PassMIT
Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT
Responsive Designwshobson/agents40k2 repos~498Automated safety check: PassMIT
Responsive Imagesthedaviddias/Front-End-Checklist74k—~403Automated safety check: PassMIT
Performing Ransomware Responsemukul975/Anthropic-Cybersecurity-Skills34k—~2.9kAutomated safety check: PassApache-2.0

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Questions about Wtf

What does Wtf do?

Re-explain the immediately previous LLM response when it did not land, using plain, precise UK English. dotfiles. Re-explain the immediately previous LLM response when it did not land, using plain, precise UK English.

How do I install Wtf in Claude Code?

Run `npx skills add citypaul/.dotfiles --skill wtf -a claude-code`. Or copy the skill folder (claude/.claude/skills/wtf in citypaul/.dotfiles) into .claude/skills/wtf in your project. Claude Code loads it when a task matches its description.

How do I install Wtf in Codex?

Run `npx skills add citypaul/.dotfiles --skill wtf -a codex`. Or copy the skill folder (claude/.claude/skills/wtf in citypaul/.dotfiles) into .agents/skills/wtf in your project. Codex loads it when a task matches its description.

Can I use Wtf 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 citypaul/.dotfiles --skill wtf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wtf, .gemini/skills/wtf, .github/skills/wtf and .opencode/skills/wtf in your project.

What does Wtf need to run?

SKILL.md names no scripts, command-line tools or credentials: Wtf is instructions for the agent only.

Does Wtf 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 Wtf 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. Review the folder before installing.

What licence does Wtf use?

Wtf is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wtf use?

About 681 tokens (SKILL.md is roughly 2.7k 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 179 tokens, read only when the agent opens those files.

What are the alternatives to Wtf?

Skills that share tags, products or a category with Wtf: WTF Plain-Language Explainer (EveryInc/compound-engineering-plugin, 25k stars), Responsive Units (thedaviddias/Front-End-Checklist, 74k stars), Responsive Design (wshobson/agents, 40k stars) and Responsive Images (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wtf?

citypaul (a GitHub user) maintains it in citypaul/.dotfiles, which has 740 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 9, 2026.

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