fuck
Skill0 starsChanged 30 days agoMITView on GitHub
Turns a terse or angry complaint attached to /fuck into a precise, confirmed cause and a fix, scoped to what was just handed back.
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- writing-skillsSkill
- building-wikiSkill
- compressing-knowledgeSkill
- creating-issuesSkill
- designing-cliSkill
- functional-domain-modelingSkill
- git-shippingSkill
- no-commentsSkill
- orchestratingSkill
- receiving-code-reviewSkill
- tracking-tasksSkill
- writing-japaneseSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 24
Read the complaint as a pointer into that artifact: a file, a function, a sentence, "that comment," "the diff." Find the exact thing it …
- Distinctive: line 38
If none of these fit, the mechanism is whatever the complaint most plainly says — don't force a fit.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
fuck
Something in the last output was wrong enough to provoke this. The complaint:
$ARGUMENTS
It states the symptom, not the mechanism, and the tone is not signal — don't take it at face value, don't mirror it, don't let it push you past what the content actually supports. Turn it into a precise, confirmed cause before touching anything.
1. Locate it
What you handed back last is in scope: the previous reply, the diff you just made, the comment you just wrote. Not the whole session, not inherited code — unless the complaint names a wider target itself.
Read the complaint as a pointer into that artifact: a file, a function, a sentence, "that comment," "the diff." Find the exact thing it refers to before diagnosing it.
2. Diagnose
For example, "this comment is pointless" says what to remove, not why it was wrong to add — confirm which of these it actually is:
- Is it padding — a sentence stating what the code, the diff, or a file listing already shows?
- Did you read a question as a rejection and start changing things, when the question wanted an answer, not a diff?
- Is it a claim you made without reading the file, running the command, or pointing at a source?
- Is it a written rule you skipped — in
AGENTS.md, or in an Agent Skill you never loaded? - Is it a choice you made for yourself where a neighbouring file, a sibling PR, an existing name, or the tool you are imitating had already made it?
- Is it a Japanese sentence that reads unnaturally, or leaves an English word standing where a Japanese one exists?
- Is it something the user just told you that a memory system, if available, should have captured, and you skipped saving?
If none of these fit, the mechanism is whatever the complaint most plainly says — don't force a fit.
3. Repair
Fix the cause you confirmed. Delete rather than rephrase. Revert rather than justify. Retract rather than hedge.
Stay inside the scope from step 1 — a provoked moment is the worst time to start improving untouched code — and the same rigor still applies: read the file, verify the claim, stay inside the request.
Fix this instance; don't let it rewrite your general behavior going forward. Bending your defaults around one complaint is a local optimum: it fixes what just annoyed someone at the cost of everything else you'd otherwise get right.
4. Report
One line: what the complaint pointed at, what changed, what you left alone. No apology, no plan, no options — /fuck plus a short complaint was typed instead of a paragraph because the fix is wanted, not a discussion.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

