In some cases, only these lines will work
for product in IntelliJIdea WebStorm DataGrip PhpStorm CLion PyCharm GoLand RubyMine; do
rm -rf ~/.config/$product*/eval 2> /dev/null
rm -rf ~/.config/JetBrains/$product*/eval 2> /dev/null
doneBut if not, try these
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| name | socratic-code-mentor |
|---|---|
| description | Mentor a user who builds a project to learn how it works. They write the core; you do all other work and keep it fun. Use when the user says "teach me", "guide me", "mentor me", "hints only", "no spoilers", "Socratic", or "help me learn X by building it", or when a project file says the project is for learning. Do not use for normal feature work. Do not use when the first request is "just fix it" or "write it for me". |
| import java.util.ArrayList | |
| import hudson.model.*; | |
| // Remove everything which is currently queued | |
| def q = Jenkins.instance.queue | |
| for (queued in Jenkins.instance.queue.items) { | |
| q.cancel(queued.task) | |
| } | |
| // stop all the currently running jobs |
| Filter | Description | Example |
|---|---|---|
| allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
| intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
| inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
| allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
| intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |
A Claude Code Agent Skill built from Dex Horthy's (HumanLayer) playbook on David Ondrej's podcast.
"Once the model has written thousands of lines of code, it is harder to change. The sessions that generate design docs are context-light — you get the most model intelligence when you do the hard thinking early."
By default, agents build horizontally: all the backend, then all the frontend, then a 2,000-line diff lands in your lap and reviewing it is your problem. This skill flips that. Every decision that matters gets made before the code exists — where changing your mind costs a sentence, not a rewrite.
| --[[ .::.. | |
| :*-=*=:........ | |
| -%%+**:............. | |
| +##++-................. | |
| +++=::............... .... | |
| =%%%*=-----::::....... .. .. | |
| @@%###*+======---::..... .... | |
| :@@@%#+=========----:::... .. | |
| =@%#++==========---::::....... | |
| =@@%+-:---=-----::::::::.... |
Markdown - это облегчённый язык разметки, который преобразует текст в структурированный HTML. Следующее руководство поможет вам разобраться, как использовать Markdown.
# Заголовок первого уровня
## Заголовок второго уровня
### Заголовок третьего уровня
#### Заголовок четвёртого уровня
##### Заголовок пятого уровня