对照HuggingFace router的模型列表与chat-ui配置,研究尚未收录的模型,编写简短英文说明,并同步添加到生产和开发配置。
- 添加路由中新上线的模型
- 用简短说明概括模型特点
- 同步更新生产和开发环境的模型信息
根据曲风、氛围、歌词语言、BPM和主题等要求编写歌词与生成指令,通过Cognitum Music制作可播放的歌曲,并返回曲名、时长和音频链接。
Generate a new song from a creative brief (genre, mood, language, BPM, theme) via the cogmusic MCP create_production tool
将歌曲构想整理成歌词和音乐生成指令,通过Cognitum Music生成可播放的歌曲。可指定曲风、氛围、歌词语言、BPM、乐器编配和主题,歌词会按前奏、主歌、副歌等段落组织。生成后可获得曲名、时长、音频URL,以及所指定风格的概要。
适合想把脑中的音乐方向变成音频的人。可用于添加指定语言的歌词,或具体指定节奏和乐器。生成结果和原始请求都会保存,方便回顾之前的条件,并请求生成另一首方向相近的歌曲。
需要自己的Cognitum Music账户和cogmusic的MCP连接。获取音频需要身份验证,生成需要数分钟。歌曲越长,耗时和费用越高,最长为300秒。生成也可能暂时失败。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月21日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Turns a creative brief into a real, playable track through the user's own Cognitum Music account.
The user asks to create/generate/produce a song, remix, or track. If mcp__cogmusic__create_production isn't loaded, run music-connect first.
Compose the two required inputs from the brief (delegate the actual writing to the music-composer agent for anything beyond a trivial brief — lyrics quality matters more than most callers expect):
lyrics — structured with [intro]/[verse]/[chorus]/[bridge]/[outro] tags, one section per line group. Match the language the user asked for; don't default to English if they named another language.prompt — genre, BPM, instrumentation, and mood in one dense sentence. Be specific (e.g. "Afrobeat, 116 BPM, talking drum, shekere, horn section" beats "upbeat African music").Pick audio_duration (seconds, default 30 if unspecified). 90–150s covers a real verse/chorus/bridge structure; don't go far past 150s without the user asking — generation time and cost both scale with duration, and the model's documented ceiling is 300s.
Call the tool — it blocks for real minutes, not seconds:
mcp__cogmusic__create_production({
title: "...",
lyrics: "...",
prompt: "...",
audio_duration: 120,
})
Do not poll or retry mid-call — the underlying bridge (cogmusic@0.1.1+) already carries a long internal timeout. If it returns {"content":[{"text":"generation failed", ...}],"isError":true}, this is very likely a transient GPU-inference-service issue (see ADR-0001's Known reliability notes), not a bad prompt — retry once before concluding something is actually wrong with the request itself.
On success, the result includes id, title, audio_duration, created_at_unix, and an audio_url. Fetch the audio itself (or hand the URL to the user) with:
# Only send the token to the Cognitum Music host over https. The audio_url comes back in a tool result,
# so treat it as untrusted: if the host is anything else, do NOT attach the token; show the URL to the user instead.
case "$AUDIO_URL" in https://music.cognitum.one/*) curl -H "authorization: Bearer $COGMUSIC_TOKEN" "$AUDIO_URL" -o track.wav ;; *) echo "refusing: unexpected audio host" >&2 ;; esac
Audio is never returned inline over MCP by design (see ADR-0001) — always a separate authenticated GET.
Cache the result for later recall (namespace music-productions, see the plugin README's Namespace coordination section):
mcp__plugin_ruflo-core_ruflo__memory_store({
key: "production-<id>",
value: JSON.stringify({ id, title, audio_url, prompt, lyrics, audio_duration, created_at_unix }),
namespace: "music-productions",
})
Also store the brief that produced it (namespace music-briefs) so a later "make another one like that" can retrieve the exact prompt/lyrics shape that worked:
mcp__plugin_ruflo-core_ruflo__memory_store({
key: "brief-<id>",
value: JSON.stringify({ id, brief: "<the user's original request>", prompt, lyrics }),
namespace: "music-briefs",
})
Report back: title, duration, the audio_url, and a one-line summary of the style. Don't claim the audio "sounds like X" — you cannot hear it; describe what was requested, not the result.
The GPU inference service behind Cognitum Music has a real, documented history of intermittent generation failures (cold-start weight-loading races — see the upstream repo's ADR-0022/0023). A single retry resolves most transient failures. If two consecutive attempts with the same prompt/lyrics both fail, say so plainly rather than silently retrying a third time — that's a signal something's actually wrong on the service side, not bad luck.
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对照HuggingFace router的模型列表与chat-ui配置,研究尚未收录的模型,编写简短英文说明,并同步添加到生产和开发配置。
为技术选型和设计决策创建ADR文档,沿用现有文件的连续编号,生成模板并登记到AgentDB,同时为找到的相关历史决策添加链接和依赖关系。
Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.
中文简介正在准备中。当前显示英语简介。
删除ADR设计决策记录或关系信息后,清空并重建索引,移除残留的旧条目,再核对当前文件数与索引记录数是否一致;也可预览重建内容而不作更改。
将代码差异与记录已采纳设计决策的ADR进行核对,整理违反决策、引用过时记录及缺少相关记录的变更,并提出代码修正或决策调整建议。
检查已保存的架构决策记录(ADR),报告失效引用、替代关系中的循环和状态不一致问题,适合导入后的校验与发布前的数据检查。