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ce-riffrec-feedback-analysis

Analyze recorded product feedback into evidence for bugs and requirements. Use when a Riffrec capture or other screen, voice, or notes artifact needs interpretation. Use for Riffrec setup, capture, or sharing help when no recording exists yet.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=everyinc-compound-engineering-plugin-skills-ce-riffrec-feedback-analysis-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name ce-riffrec-feedback-analysis description Analyze recorded product feedback into evidence for bugs and requirements. Use when a Riffrec capture or other screen, voice, or notes artifact needs interpretation. Use for Riffrec setup, capture, or sharing help when no recording exists yet. Riffrec Feedback Analysis Turn raw product feedback into structured evidence for downstream agents. This skill is the consumption side of Riffrec , a capture tool that records synchronized screen + voice + event sessions and emits a riffrec-*.zip bundle. Done: Setup ends with a current capture/share path. Quick analysis ends with one evidence-backed bug report and no durable artifact unless requested. Extensive analysis ends with the complete evidence set and a ce-brainstorm handoff unless the user asked for extraction only. A missing input, analyzer failure, or unresolved route ends with an actionable blocker rather than a partial success claim. Choose the path Route from the input. Read only the references named for that route; do not load the other path references. Setup — user has no recording yet and asks how to install Riffrec, capture a session, or share feedback. Read references/install-riffrec.md . Quick bug report — input is a short recording (under ~60 seconds), the user describes a single specific issue, or asks for "quick", "small", or "just transcribe". Read references/analyzer.md , then references/quick-bug-report.md . Extensive analysis — input is longer, contains multiple issues, requirements, or a workflow walkthrough, or the user wants requirements material. Read references/analyzer.md , then references/extensive-analysis.md . Continue into ce-brainstorm unless the user explicitly asked only to extract or analyze artifacts. When the input is ambiguous (e.g., a zip arrived without context), inspect the recording length and event count before choosing. If still unclear, ask the user which path applies before running anything heavy. Common rules Keep raw recordings, audio chunks, zip contents, session dumps, and extracted screenshots local-only by default. Do not commit raw/ or frames/ directories unless the user explicitly asks and privacy is acceptable. Text/metadata artifacts (requirements kickoff material, analysis summaries, problem analyses, source manifests) may be committed when they are needed for traceability and contain no sensitive data. Use repo-relative screenshot paths in any committed doc so later agents can open the evidence without absolute local paths. The Compound Engineering output format used by the extensive path is documented in references/compound-engineering-feedback-format.md .
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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