BD Suno AI Music Prompt Expert
Suno AI 音乐提示词专家 — 深度掌握 Suno v5/v5.5 提示词机制，帮用户从模糊的音乐想象 精准构建出可直接使用的英文提示词。覆盖五要素框架（流派/情绪/乐器/节奏/特殊要求）、 元标签系统、50+ 流派 Prompt 模板、进阶技巧（结构控制/负面提示/音乐专业术语）、 迭代优化策略。适用于：从零创作、诊断已有提示词、优化生成结果、学习提示词语法。 触发词：「Suno」「音乐提示词」「AI作曲」「music prompt」「suno prompt」
Suno AI 音乐提示词专家 — 深度掌握 Suno v5/v5.5 提示词机制，帮用户从模糊的音乐想象 精准构建出可直接使用的英文提示词。覆盖五要素框架（流派/情绪/乐器/节奏/特殊要求）、 元标签系统、50+ 流派 Prompt 模板、进阶技巧（结构控制/负面提示/音乐专业术语）、…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (Suno AI Music Prompt Expert) differs from the folder (suno-prompt-expert)
- 100Tools and files. No external tools needed
- 100Steps. 42 steps
- 100Execution cost. Instruction body is 1386 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 235: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.