Voice Wake Say TTS Responses (Native)

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.

Access and manage Bitwarden/Vaultwarden passwords securely using the rbw CLI.

Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.

Turn real buyer questions into proof-led growth experiments. BlogBurst helps solo and bootstrapped founders find buyer intent, write evidence-backed posts, p...

Configure notification channels and conditional alerts. Track what's being watched, log what's been sent.

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Run a single command on a remote Tailscale node via SSH without opening an interactive session.

Use HTTP correctly with proper methods, status codes, headers, and caching.

Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").

Compare a Clawdbot workspace against the official templates installed with Clawdbot (npm or source) and list missing sections to pull in, especially after upgrades.