Rob

bug fix (missing default for --notes argument

Fix scrutiny honesty warnings by rewriting a tool's description to align with its prompt keywords, then verify the fix

Validate a CmdForge tool config.yaml against scrutiny rules before publishing

Build single or multi-tool CmdForge pipelines from natural language descriptions, writing config.yaml and README to ~/.cmdforge/ with proper step composition and ToolStep wiring. Runs system commands to generate READMEs, check scrutiny, and auto-fix honesty warnings

Generate or modify artifacts (diagrams, 3D models, code) using AI

Quick code review with actionable suggestions

Extract and explain errors from large log files

Generate unit tests for code with edge cases

Explain error messages and stack traces in plain language

Explain what code does in plain language

Add docstrings to functions and classes

Review only the added/changed code in a diff

Generate a commit message from a git diff

Add inline comments to code explaining what each section does

Render artifact source code to binary formats (PNG, SVG, PDF)

Rewrite text in a different tone while preserving the message. Use --tone to specify style (e.g., professional, casual, formal, friendly, assertive).

Summarize any text into a concise one-line TL;DR. Perfect for quickly understanding long documents or articles.

Rewrite complex text using simpler words and shorter sentences. Use --level to target a specific reading level (default: 5th grade).

Draft email replies with customizable tone. Pipe an email and get a draft response. Use --tone to set the style (default: professional and friendly).

Expand bullet points and notes into flowing, well-written paragraphs. Maintains the original meaning while adding context and transitions.

Correct grammar, spelling, and punctuation errors in text. Returns only the corrected text without explanations.

Explain complex topics in simple terms a 5-year-old could understand. Uses everyday analogies and avoids jargon.

Analyze implementation plans and extract actionable tasks into structured JSON with priorities

Added README with usage examples and format details

Audit project goals by examining milestones and codebase evidence.

Record from microphone and transcribe to text (convenience wrapper)

Transcribe audio file to text (supports Google Cloud, OpenAI-compatible Whisper, remote-faster-whisper)

Record audio from microphone for a fixed duration

Convert text to speech and play it immediately (auto-chunks long text)

Convert text to speech (supports Google Cloud, Piper, OpenAI-compatible backends)

Generate and validate Python code

Generate changelog from git commits

AI-powered secondary review of scrutiny warnings to identify false positives and provide deeper analysis. Evaluates keyword-triggered warnings in context to determine if they represent actual issues or incidental word usage.