searchType: dvField,dvField,dvField # all three come from inline fields
searchTarget: Ingestion_Date,Total_Tokens,Total_Cost
datasetName: Date,Tokens,Cost ($)
aspectRatio: 50:15
folder: "Content Farm/Web/Archive/2025"
dateFormat: YYYY-MM-DD
xDataset: 0 # 1st target drives the X-axis
line:
| /******************************************************************** | |
| * Oura Stats + Regression‑based Trend & Δ % * | |
| * – zebra‑striped rows for easier scanning * | |
| ********************************************************************/ | |
| /* ---------- helpers ---------- */ | |
| function fmtNum(n, d = 0) { return n.toFixed(d).replace(/\B(?=(\d{3})+(?!\d))/g, ","); } | |
| function fmtDate(s) { const [y, m, d] = s.split("-"); return `${parseInt(m)}/${parseInt(d)}`; } | |
| function linReg(x, y) { | |
| const n = x.length, |
Maestro is an open-source Electron desktop application for managing multiple AI coding assistants simultaneously. We're seeking an experienced Electron developer to help mature the codebase and establish infrastructure for sustainable, rapid development.
A simple toggle button in the AI terminal (bottom right of chat, alongside History and Read-Only) that lets users see Claude's thinking process as it streams, instead of waiting for the final result.
Current Behavior: Maestro waits for the complete type: 'result' message from Claude Code's stream-json output. The type: 'assistant' streaming chunks are explicitly skipped (see process-manager.ts:319-327). Users see only the final polished response.
New Behavior: When "Show Thinking" is enabled, users see the agent's response as it streams in real-time, giving visibility into reasoning before the final result arrives.
| #!/bin/bash | |
| # YouTube Transcript Tool (ytt) | |
| # Extracts transcripts from YouTube videos using built-in transcripts or local transcription | |
| url="$1" | |
| if [[ -z "$url" ]]; then | |
| echo "Usage: ytt <youtube-url>" | |
| echo "Extract transcript from YouTube video using built-in transcripts or whisperkit-cli fallback" |
// This is the legend code. Add this after your existing table code.
// Add custom CSS for the legend
const legendCSS = `
<style>
.legend-container {
text-align: right;
margin-top: 10px;
font-size: 0.9em;
| #!/usr/bin/env python3 | |
| """ | |
| JSON Structure Analyzer and Reducer | |
| =================================== | |
| A powerful command-line tool for analyzing, reducing, and exploring JSON file structures. | |
| Designed to help developers understand large JSON datasets by providing multiple modes | |
| of interaction: structure reduction for LLM analysis, hierarchical size analysis, and | |
| interactive terminal-based exploration. |
| #!/usr/bin/env python3 | |
| """ | |
| First, create a simple deck in Obsidian. | |
| Next, leverage: "Pandoc Plugin: Export as Beamer Slides" | |
| Finally, convert to PDF via this tool. | |
| usage: obsidian-compile-slides [-h] [--nodracula] [--nomono] | |
| Compile beamer slides with optional Dracula theme |
| #!/usr/bin/env python3 | |
| import sys | |
| import tiktoken | |
| DEFAULT_ENCODING = "cl100k_base" | |
| def count_tokens(encoding_name, text): | |
| """Count the number of tokens in the given text using the specified encoding.""" | |
| enc = tiktoken.get_encoding(encoding_name) | |
| return len(enc.encode(text)) |
| ```dataviewjs | |
| // Function to format number with commas | |
| function formatNumber(num, decimals = 0) { | |
| return num.toFixed(decimals).replace(/\B(?=(\d{3})+(?!\d))/g, ","); | |
| } | |
| // Function to format date from YYYY-MM-DD to M/D (no leading zeros) | |
| function formatDate(dateString) { | |
| const [year, month, day] = dateString.split('-'); | |
| return `${parseInt(month)}/${parseInt(day)}`; |