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在 OpenClaw 中安装
/install training-content-extractor
功能描述
根据用户粘贴的录音转写文本，提炼企业内部培训总纲（模块→课时→要点→案例→练习→作业），并支持按 lesson 逐步扩写为细致培训文档。
安全使用建议
This skill is internally consistent and doesn't request system access or secrets. Before using it, avoid pasting sensitive PII or confidential data into transcripts because outputs will reflect the provided text. Note it does NOT do audio transcription — supply a transcript or use a separate transcription tool first. Verify timestamps and extracted claims against the original transcript (the skill marks gaps as “待补充” but always review for accuracy). If you need integrations (automatic transcription, cloud storage, or sharing), those are outside this skill and would require additional, separate capabilities.
功能分析
Type: OpenClaw Skill
Name: training-content-extractor
Version: 1.0.0
The skill bundle consists entirely of Markdown instructions and templates designed to help an AI agent transform audio transcriptions into structured training materials. There is no executable code, and the instructions are strictly focused on content extraction, clustering, and document formatting without any indicators of data exfiltration, malicious execution, or prompt injection attacks. Key files include SKILL.md for workflow orchestration and several instruction files (e.g., instructions/outline.md) that enforce quality constraints like requiring original evidence from the source text.
能力评估
Purpose & Capability
The name/description (extract training outlines from transcript and expand lessons) matches the actual files and declared requirements: no binaries, no credentials, and detailed instruction/template files. Requiring only a transcript is appropriate for the stated goal; the skill explicitly excludes audio-to-text transcription.
Instruction Scope
SKILL.md and instructions/*.md stay within scope: they require only the transcript and optional contextual fields, mandate provenance (time‑stamps/quotes), forbid fabrication, and define precise output templates. There are no directives to read unrelated system files, access environment variables, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files that execute; this is an instruction-only skill (templates and instructions only), so nothing is written or downloaded at install time. This is the lowest-risk install profile.
Credentials
The skill requests no environment variables, credentials, or config paths. All required inputs are user-provided transcript and optional metadata, which is proportionate to the task.
Persistence & Privilege
always is false; the skill does not request persistent system presence or modify other skills. It is user-invocable and may be invoked autonomously by the agent per platform defaults, which is expected and acceptable for this kind of utility.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install training-content-extractor - 安装完成后，直接呼叫该 Skill 的名称或使用
/training-content-extractor触发 - 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 of training-content-extractor skill.
- Extracts structured enterprise training outlines from pasted transcription text (modules → lessons → key points → cases → exercises → assignments).
- Supports step-by-step expansion of each lesson into detailed training documents.
- Offers three output modes: outline, lesson expansion, and compilation into long-form documents.
- Includes workflows for cleaning transcription, identifying structure, extraction, and document assembly.
- Enforces constraints such as no fabrication, source attribution, actionable assignments, and segmented output to avoid excessively long text.
- File structure separates instructions, templates, and sample outputs for clarity and maintainability.
元数据
常见问题
training-content-extractor 是什么？
根据用户粘贴的录音转写文本，提炼企业内部培训总纲（模块→课时→要点→案例→练习→作业），并支持按 lesson 逐步扩写为细致培训文档。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 117 次。
如何安装 training-content-extractor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install training-content-extractor」即可一键安装，无需额外配置。
training-content-extractor 是免费的吗？
是的，training-content-extractor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
training-content-extractor 支持哪些平台？
training-content-extractor 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 training-content-extractor？
由 0x00pluto（@0x00pluto）开发并维护，当前版本 v1.0.0。
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