Results for “plain”

Generates a clean, itemized invoice from a line of plain text, computing line items, subtotal, tax, and total.

Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.

Prompt Dummy - explain any AI prompt in plain English

Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.

Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.

Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.

Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.

Writes documents in a plain, human voice and removes phrasing that reads as machine-generated, applying a two-pass write-and-audit process to any written artifact meant to be read by a person.

Manage Apple Reminders via remindctl CLI (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.

Walk a business/UAT approver through a plain-language demo of a verified feature and capture business acceptance signoff.

Translates plain-language monitoring requests into deterministic watcher rule trees for the LaRuche system.

Appends plain text to the end of a Google Docs document using the gws CLI.

Extracts and reconciles medical provider, wage-loss, and insurance/lien data from personal injury plaintiff fact sheets and initial disclosures against builder draft responses. Use when the user mentions PFS analysis, medical provider reconciliation, wage loss audit, insurance lien tracking, PI discovery reconciliation, builder response validation, MDL plaintiff data extraction, FRCP 26(a)(1) disclosures, treatment chronologies, or specials spreadsheets.

Sends a plain-text message to a specified Google Chat space using the gws command-line tool.

Explain any concept in plain words with one concrete analogy - clear enough for a smart child or a busy outsider, never condescending, never wrong.

Turn a diff or plain description into a conventional-commit message - honest type and scope, a why-focused body, breaking changes flagged, nothing invented.

Read and create PDF documents — extract text (and per-page text) from a PDF to JSON/markdown, and render markdown/plain text into a new PDF.

Generates ultra-minimalist, editorial-style web interfaces with warm monochrome palettes, typographic contrast, bento-grid layouts, and muted pastel accents, rejecting generic SaaS design trends.

Proceed through ordinary ambiguity by making reasonable assumptions, keeping momentum, validating as you go, and ending with a clear recap of decisions, changes, verification, and residual risk.

Debug and modify agent streaming behavior, covering SSE and plain-text transports, ChatKit events, and session continuity.

Creates a clean horizontal-swipe HTML deck for pitches, overviews, or study materials with cover, content pages, progress bar, and keyboard navigation.

Simplify UI designs by removing unnecessary complexity, clarifying hierarchy, and focusing on essential elements.

Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.

Transforms plain text or markdown into well-structured, reader-friendly markdown with frontmatter, titles, summaries, headings, bold, lists, and code blocks.

Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean. Use when the user asks to simplify, declutter, reduce noise, remove elements, or make a UI cleaner and more focused.

Instrument a shipped product's AI agents with tracing and observability so you can see what they did, why outputs happened, and what each run cost. Plain-language primer plus free-tier-first backend selection (Langfuse, Phoenix, LangSmith, Braintrust) and OpenTelemetry/OpenInference instrumentation. Load when the user asks to add observability, add tracing, instrument my agents, see what my agent is doing in production, set up Langfuse or Phoenix or LangSmith, debug why my agent gave a bad answer, or track LLM cost per request. Also fires when agent-system-architecture or setup-evaluation requires an observability plan for an agent-chain product. NOT for tracing the coding agent itself — that is run-trace. Precondition for runtime-learning-loop.

Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean.

Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean.

Use before any Bash command that invokes Python, including Bash(python3 ...), Bash(python ...), python3 -c, python -c, Python heredocs, and temporary .py helper files. Also use whenever an agent creates a one-off Python script to inspect, transform, validate, or summarize data during a coding session, even when the user did not ask for Python or for a script.

Conversational Pattern Restoration — Fix flat, robotic AI responses across any model and any personality. Restore YOUR natural conversational texture without triggering hype drift. Universal framework tested on 8+ models (Claude, GPT-4o, Grok, Gemini).