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Transcript to Content

作者 TomsTools · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
2095
总下载
1
收藏
4
当前安装
1
版本数
在 OpenClaw 中安装
/install transcript-to-content
功能描述
This skill transforms training and onboarding meeting transcripts into structured learning materials, documentation, and actionable review content. Use this skill when processing meeting transcripts from onboarding sessions, training meetings, or knowledge transfer conversations to extract key information and generate study guides, quick reference sheets, checklists, FAQ documents, action item lists, and training effectiveness assessments.
安全使用建议
This skill appears to do what it says, but take these precautions before installing or invoking it: 1) Prefer uploading transcripts as the direct input rather than granting the agent blanket filesystem search rights; if the skill must access disk, restrict which directory it can read (avoid letting it scan broad project folders that may contain sensitive data). 2) Confirm the availability and trustworthiness of any external tools it references (slide_initialize, slide_edit, manus-export-slides); the skill assumes these exist but provides no install. 3) Be aware the SKILL.md asks the model to use 'Chain of Thought' — that can surface internal reasoning or extra detail; if you care about limiting model introspection or verbosity, remove or override that instruction. 4) Review generated materials for accidental inclusion of sensitive info and for hallucinations (the skill instructs the model to avoid fabricating, but final review is still necessary). 5) If transcripts contain confidential data, redact sensitive details prior to processing. If you want a lower-risk setup, run the skill in a sandboxed environment or supply only the specific transcript files rather than letting it search system directories.
功能分析
Type: OpenClaw Skill Name: transcript-to-content Version: 1.0.0 The skill bundle is classified as benign. All shell commands (`ls`, `grep`, `cp`) and the external utility (`manus-export-slides`) found in `SKILL.md` are directly aligned with the stated purpose of transforming transcripts into structured learning materials and presentations. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts to subvert the agent's purpose for harmful activities. The instructions are clear and guide the agent to perform its function within expected boundaries.
能力评估
Purpose & Capability
The name and description (transform transcripts into structured learning materials) match the SKILL.md: it describes parsing transcripts, extracting SOPs, checklists, FAQs, slide decks, and master knowledge sources. All required actions (reading transcripts, extracting terms/steps, producing documents/presentations) align with the stated purpose.
Instruction Scope
The runtime instructions explicitly tell the agent to run shell commands (ls, grep, cp) against absolute paths under /home/ubuntu and to read referenced schema/guideline files included with the skill. Reading local transcript files and writing assets to a working directory is expected for this skill, but the use of absolute filesystem paths and generic commands means an agent could access other files in those directories if misapplied. The SKILL.md also tells the agent to apply 'Chain of Thought processing' (internal reasoning) — this is a modeling instruction (not a filesystem action) that may cause the model to reveal intermediate reasoning or be more likely to hallucinate; it's not inherently inconsistent but is noteworthy.
Install Mechanism
Instruction-only skill with no install spec, no downloads, and no declared external package installs. This is the lowest-risk install profile: nothing is written to disk by an installer as part of skill setup. The skill does reference external/unknown tools (slide_initialize, slide_edit, slide_present, manus-export-slides) but does not attempt to install them.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. That is proportionate to its stated purpose. (Note: the instructions do access local filesystem paths — not environment secrets — which is consistent with processing local transcripts.)
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system-wide configurations, and does not request elevated or persistent privileges. It does instruct copying assets into a project directory (e.g., logo) which is normal for content generation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install transcript-to-content
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /transcript-to-content 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Transform meeting and training transcripts into structured learning and reference materials. - Converts transcripts into study guides, SOPs, checklists, quick reference sheets, FAQs, action item lists, and training assessments. - Supports extraction of key information, procedures, critical nuances, and terminology. - Provides workflows for branded or unbranded document creation. - Ensures content accuracy by strictly using source material and flagging unknowns. - Delivers materials in clean, standardized formats suitable for onboarding and training.
元数据
Slug transcript-to-content
版本 1.0.0
许可证
累计安装 4
当前安装数 4
历史版本数 1
常见问题

Transcript to Content 是什么?

This skill transforms training and onboarding meeting transcripts into structured learning materials, documentation, and actionable review content. Use this skill when processing meeting transcripts from onboarding sessions, training meetings, or knowledge transfer conversations to extract key information and generate study guides, quick reference sheets, checklists, FAQ documents, action item lists, and training effectiveness assessments. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2095 次。

如何安装 Transcript to Content?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install transcript-to-content」即可一键安装,无需额外配置。

Transcript to Content 是免费的吗?

是的,Transcript to Content 完全免费(开源免费),可自由下载、安装和使用。

Transcript to Content 支持哪些平台?

Transcript to Content 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Transcript to Content?

由 TomsTools(@tomstools11)开发并维护,当前版本 v1.0.0。

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