By joshmedeski
Local-first speech tooling optimized for macOS (text-to-speech and speech-to-text). Runs on-device (Apple Silicon): ships TTS today via mlx-audio + Kokoro, with STT, a voice conversation loop, wake word, and voice cloning on the roadmap.
Install or repair the local mlx-audio tooling that pst's text-to-speech depends on (uv tool install + spaCy model). Use when the user runs "/pst:setup", is setting up pst for the first time, or when tts fails because mlx-audio / mlx_audio.tts.generate is missing or broken.
Summarize conversation feedback and speak it aloud using the local tts binary (Kokoro TTS via mlx-audio), and control always-on / verbose voice modes. Use when the user runs "/pst:tts", says "read this back to me", "summarize and speak", "text to speech", wants an audio summary, or wants the assistant to keep speaking throughout the session. Trigger on any request to hear something spoken aloud.
Executables (bin/) — files in this plugin's bin/directory are added to the Bash tool's PATH while the plugin is enabled.
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npx claudepluginhub joshmedeski/pstLazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.