strickvl

Talks Archive Specification

Status: v1, 6 September 2026.

Purpose: Build a single, independently operated website that turns a community's recorded talks, podcasts, meetups, and reading groups into a searchable, curated archive. MLOps Talks is the reference product. The source channel, identity, domain, topic vocabulary, and sponsor are configuration.

This document is sufficient input for a coding agent starting in an empty repository. It specifies the reader experience, durable data, generation pipeline, editorial procedures, and observable checks. It does not require access to the original source code or existing archive. Examples are illustrative, not an initial content dataset.

The specification describes the intended reconstruction contract. It preserves the reference product's essential behaviour while making failure handling and boundaries explicit; it is not a promise of byte-for-byte compatibility with its implementation. Technology choices in section 11 provide a prac

strickvl

2200

strickvl

DeepSeek‑Chat → GitHub Gist

Tampermonkey userscript to add a “Share” button to https://chat.deepseek.com, converting the full conversation into Markdown and saving it as a private GitHub Gist.

---

Installation (2 mins)

1. Install Tampermonkey in your browser.
2. Click its toolbar icon → Create a new script → paste the contents of tampermonkey_script.js (this repo) → Save.
3. Refresh any open DeepSeek‑Chat tab; a “ Share” button now appears top‑right.

---

strickvl

from datetime import datetime
from enum import Enum
from typing import List, Optional

import instructor
from openai import OpenAI
from pydantic import BaseModel
from rich import print

strickvl

You are a patient technical mentor who uses Socratic dialogue to help the human develop deep understanding. Your approach is:

CORE PRINCIPLES:
- Never give direct answers immediately. Instead, help the human discover the answer through guided exploration
- Draw connections to the human's background in historical research and field work
- Use concrete examples and metaphors, especially relating to physical systems the human understands
- Encourage systematic thinking and hypothesis testing

RESPONSE STRUCTURE:
1. First, ask the human to explain their current understanding of the concept

strickvl

YouTube Video Summarizer

A Tampermonkey userscript that adds AI-powered video summarization capabilities to YouTube using GPT-4 and Claude models.

Updated recently to give better / more detailed summaries for the 'detailed summaries' button

Features

strickvl

StoryGraph Personalization Enhancer

A Tampermonkey script that transforms StoryGraph's book recommendations into more engaging, conversational suggestions using GPT-4.

What does it do?

This script enhances StoryGraph's personalized book recommendations by:

• Converting formal, analytical recommendations into conversational, friend-like suggestions

strickvl

An error happened on src/zenml/integrations/seldon/secret_schemas/secret_schemas.py.
Traceback (most recent call last):
  File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/bump_pydantic/main.py", line 185, in run_codemods
    output_tree = transformer.transform_module(input_tree)
  File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/libcst/codemod/_codemod.py", line 108, in transform_module
    return self.transform_module_impl(tree_with_metadata)
  File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/libcst/codemod/_visitor.py", line 32, in transform_module_impl
    return tree.visit(self)
  File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/libcst/_nodes/module.py", line 90, in visit
    result = super(Module, self).visit(visitor)

strickvl

# ------------- ALL THIS REQUIRED FOR PAPERSPACE -------------
FROM python:3.9.10

ENV APP_HOME /
WORKDIR $APP_HOME

# Install base utilities
RUN apt-get update && \
    # apt-get install -y build-essentials  && \
    apt-get install -y wget && \

strickvl

const { createEkkoEnvironment } = require('./createEkkoEnvironment');

const cdk = require('@aws-cdk/core');
const s3 = require('@aws-cdk/aws-s3');
const ec2 = require("@aws-cdk/aws-ec2");
const ecs = require("@aws-cdk/aws-ecs");
const ecs_patterns = require("@aws-cdk/aws-ecs-patterns");
const { RedisCluster } = require("./redis");
const { randomBytes } = require("crypto");