Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Songwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Everything here is a GUIDELINE, not a rule. Art breaks rules on purpose. Use what serves the song. Ignore what doesn't.
Common skeletons — mix, modify, or throw out as needed:
ABABCB Verse/Chorus/Verse/Chorus/Bridge/Chorus (most pop/rock)
AABA Verse/Verse/Bridge/Verse (refrain-based) (jazz standards, ballads)
ABAB Verse/Chorus alternating (simple, direct)
AAA Verse/Verse/Verse (strophic, no chorus) (folk, storytelling)
The six building blocks:
You don't need all of these. Some great songs are just one section that evolves. Structure serves the emotion, not the other way around.
RHYME TYPES (from tight to loose):
Mix them. All perfect rhymes can sound like a nursery rhyme. All slant rhymes can sound lazy. The blend is where it lives.
INTERNAL RHYME: Rhyming within a line, not just at the ends. "We pruned the lies from bleeding trees / Distilled the storm from entropy" — "lies/flies," "trees/entropy" create internal echoes.
METER: The rhythm of stressed vs unstressed syllables.
Think of a song as a journey, not a flat road.
ENERGY MAPPING (rough idea, not prescription): Intro: 2-3 | Verse: 5-6 | Pre-Chorus: 7 Chorus: 8-9 | Bridge: varies | Final Chorus: 9-10
The most powerful dynamic trick: CONTRAST.
"Whisper to roar to whisper" — start intimate, build to full power, strip back to vulnerability. Works for ballads, epics, anthems.
SHOW, DON'T TELL (usually):
THE HOOK:
PROSODY — lyrics and music supporting each other:
AVOID (unless you're doing it on purpose):
When rewriting an existing song with new lyrics:
THE SKELETON: Map the original's structure first.
FITTING NEW WORDS:
CONCEPT:
KEEP SOME ORIGINALS: Leaving a few original lines or structures intact adds recognizability and lets the audience feel the connection.
FORMULA (adapt as needed): Genre + Mood + Era + Instruments + Vocal Style + Production + Dynamics
BAD: "sad rock song"
GOOD: "Cinematic orchestral spy thriller, 1960s Cold War era, smoky
sultry female vocalist, big band jazz, brass section with
trumpets and french horns, sweeping strings, minor key,
vintage analog warmth"
DESCRIBE THE JOURNEY, not just the genre:
"Begins as a haunting whisper over sparse piano. Gradually layers
in muted brass. Builds through the chorus with full orchestra.
Second verse erupts with raw belting intensity. Outro strips back
to a lone piano and a fragile whisper fading to silence."
TIPS:
STRUCTURE: [Intro] [Verse] [Verse 1] [Pre-Chorus] [Chorus] [Post-Chorus] [Hook] [Bridge] [Interlude] [Instrumental] [Instrumental Break] [Guitar Solo] [Breakdown] [Build-up] [Outro] [Silence] [End]
VOCAL PERFORMANCE: [Whispered] [Spoken Word] [Belted] [Falsetto] [Powerful] [Soulful] [Raspy] [Breathy] [Smooth] [Gritty] [Staccato] [Legato] [Vibrato] [Melismatic] [Harmonies] [Choir] [Harmonized Chorus]
DYNAMICS: [High Energy] [Low Energy] [Building Energy] [Explosive] [Emotional Climax] [Gradual swell] [Orchestral swell] [Quiet arrangement] [Falling tension] [Slow Down]
GENDER: [Female Vocals] [Male Vocals]
ATMOSPHERE: [Melancholic] [Euphoric] [Nostalgic] [Aggressive] [Dreamy] [Intimate] [Dark Atmosphere]
SFX: [Vinyl Crackle] [Rain] [Applause] [Static] [Thunder]
Put tags in BOTH style field AND lyrics for reinforcement. Keep to 5-8 tags per section max — too many confuses the AI. Don't contradict yourself ([Calm] + [Aggressive] in same section).
AI vocalists don't read — they pronounce. Help them:
PHONETIC RESPELLING:
DELIVERY CONTROL:
ALWAYS:
EXPECT: ~3-5 generations per 1 good result. Revision is normal. Style can drift in extensions — restate genre/mood when extending.
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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