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Fixture for compound skills + npm tooling detection.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Systematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel subagents and self-validation. Use when implementing features, fixing bugs, or making code changes that benefit from structured workflow.
Use this skill whenever a user has an audio file (.wav/.mp3/.flac/etc.) that needs to loop as background on a website or web page — hero ambience, landing-page atmosphere, portfolio mood audio, ambient wind/rain/ocean/forest/breeze/pad beds, or any "play quietly behind the page while users read/scroll/interact" use case. Trigger on intents like making a clip loop without audible gaps or boundary artifacts on a site, fixing a click/tick/pop/bump at the loop boundary, fixing stereo bias or L/R imbalance on a web-bound ambient clip, normalizing loudness (LUFS) for web delivery, encoding a loop for web playback, or fading audio in on first user click/gesture — in any web framework (Next.js, Vue, Astro, Nuxt, plain HTML). The skill outputs a gapless FLAC plus a paste-in Web Audio snippet that unlocks on first interaction. Skip for general audio editing (cuts, mixing, effects), music/podcast mastering, or transcription.
Govern the BRAND-VOICE.md — extract a brand's writing voice from URL, Notion page, MD file/directory, or interview into a structured executable doc; update incrementally; diff versions; validate the canonical format; show testable rules. Supports multi-voice via `voice.extends` (founder on corporate, persona on institutional, multi-host) with `_replace`/`_remove` overrides. Consumed by writing skills via `-f` (e.g. `humanize-en`). Use when defining, extracting, refreshing, validating, or inspecting a brand's writing voice — "create a brand voice doc", "extract voice from this site", "tone of voice", "writing style guide", "BRAND-VOICE.md", "founder voice", "persona voice", "multi-voice".
Eight-axis judgment code review for the current diff — Correctness, Simplification, Tests, Documentation, Style, Intent, Design/API, Performance (+ Coherence on metadata changes). Five-phase pipeline scope → deterministic tool battery (npx/uvx-preferred, zero-install for the JS + Python majority) → 8 parallel LLM axis reviewers → Haiku validators on sub-80 findings (verbatim rubric, ≥80 threshold) → synthesis with no-silent-drop + Conventional Comments JSONL. Every report closes with "What I did NOT check" (security → /security-review, runtime perf, flaky detection). Opt-in flags `--verify-build`, `--mutation-test`, `--reconcile`, `--apply-safe`. Public-skill posture — zero auto-install, graceful skip on missing native tools. Invoke before a commit or PR — "review my changes", "deep review", "did I miss anything", "check before I commit", "audit this PR", "drift / gaps / blind spots".
Govern an existing DESIGN.md — Google's open standard for design tokens (YAML frontmatter + eight prose sections). Auto-activates during UI edits to enforce token-only sourcing for colors, typography, spacing, and corner radius when a DESIGN.md is present; steps aside when none exists — it never forces or authors one (`/award-design` authors it up front, then builds under it). Exposes seven CLI-backed subcommands — audit (lint + fix), diff (regression check), export (Tailwind / DTCG), spec (canonical spec), migrate (port legacy Stitch), init (minimal scaffold fallback), audit-extensions (drift check vs globals.css @theme). Token-affecting UI changes update DESIGN.md first, audit, then propagate to code.
Download video or audio from ~1800 sites (YouTube, Vimeo, SoundCloud, Twitch, X…) with the `yt-dlp` CLI — full videos, mp3 audio, playlists, time-range clips, subtitles, capped resolutions. Use whenever the user wants to download, save, grab, or rip a video/audio/playlist from a URL, extract a song as mp3, clip a segment, or fetch subtitles — even when they just say "download this", "get the audio", or "save this playlist".
| name | foo |
| description | Fixture for compound skills + npm tooling detection. |
