Agent Skills: sherpa-onnx-tts
Local text-to-speech via sherpa-onnx (offline, no cloud)
ID: Jst-Well-Dan/Skill-Box/sherpa-onnx-tts
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- write-conceptWrite or review JavaScript concept documentation pages for the 33 JavaScript Concepts project, following strict structure and quality guidelines
- wordpress-elementorEdit Elementor pages and manage templates on WordPress sites via browser automation (for visual / structural changes) or WP-CLI (for safe text replacements). Use whenever the user wants to edit an Elementor page, update text in Elementor widgets, apply or manage Elementor templates, or make content changes to pages built with the Elementor page builder.
- 1k-cross-platformOneKey cross-platform patterns, platform files, platformEnv, and supported OS/SDK requirements.
- work-with-prFull PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the smallest atomic, independently-mergeable PRs and builds the independent ones concurrently via one worktree per PR driven by parallel subagents or a team. Unbounded loop: any failing gate sends you back to fix-and-re-QA inside that PR's worktree. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'split into atomic PRs', 'parallel PRs', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.
- ddia-systemsDesign data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", "my queries are slow at scale", or "data is inconsistent across replicas". Also trigger when choosing a datastore, designing data pipelines, or debugging distributed-system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.
- redis-inspectInspect Redis cache keys, values, and TTLs for debugging. Supports both main cache and system cache. Use for debugging cache issues, checking cached values, and monitoring cache state. Read-only by default.