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Agent Skill · 效率

training-report(培训报告)

training-report 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

training-report 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 20,001。

总安装 1,764周安装 75GitHub Stars 公开资料未说明下载 618核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:training-report(培训报告)
来源仓库:https://github.com/samber/training-report
安装命令:
openclaw skills install training-report
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install training-report

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

生成 .docx 文件形式的专业培训/研讨会报告。每当用户提到“培训报告”、“研讨会报告”、“完成报告”时,请使用此技能

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install training-report;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

training-report 怎么安装?

在终端执行 openclaw skills install training-report。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

training-report 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

training-report 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install training-report 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

training-report 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

training-report 用的人多吗?

公开数据是累计安装 1,764 次,近一周安装 75 次,下载 618 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

training-report 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
training-report

培训报告 · 本页

1,764—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
training-report
description
Produce a professional training/workshop report as a .docx file. Use this skill whenever the user mentions "training report", "workshop report", "compte rendu", "compte rendu de formation", "formation report", "debriefing a workshop", "write up a training session", "résumé de formation", or any request to document a training session, workshop, or onboarding event with individual participant feedback and recommendations. Also trigger when the user says things like "I just ran a workshop and need to write it up", "help me summarize what happened in my training session", or "I need to report back to management about a session I ran". Always use this skill — for short or long sessions, across any discipline (technical, soft skills, creative, compliance, onboarding, etc.) — whenever a structured written deliverable about a training event is needed.
user-invocable
false
license
MIT
compatibility
Designed for Claude or similar AI agents.
metadata
author
samber
version
1.0.0
openclaw
emoji
📚
homepage
https://github.com/samber/cc-skills
allowed-tools
Read Edit Write Glob Grep Agent AskUserQuestion

Training Report

Iterate the full report in Markdown first. Generate the .docx last, once, when the content is final. The .md is the canonical artifact; the .docx is a terminal derivative.

Discipline-agnostic: coding workshop, leadership seminar, safety training, onboarding, creative workshop — all apply equally.

Voice mode: this conversation may be conducted by voice. Transcription can introduce homophones, missing punctuation, or ambiguous proper nouns (names, company names, tool names). If any answer is unclear after transcription, ask a short clarifying question before moving on — do not guess.

Reference files

Load these files at the steps indicated. Do not load them all upfront.

FileLoad at
references/tone-of-voice.mdStep 1 (after language + audience confirmed)
references/markdown-draft.mdStep 5 (before writing the draft)
references/docx-generation.mdStep 6 (before generating the .docx)

Step 0 — Check dependencies

Before asking the user anything, verify skill availability.

docx skill (required for Step 6)

  • If found: note it; load it at Step 6
  • If not found: warn the user — it is required to generate the final Word document and can be installed from Anthropic's official skill library. Offer to proceed with the Markdown draft in the meantime.

Humanizer skill (recommended)

  • After Step 1, look for a humanizer skill matching the chosen language
  • If found: load it and apply it during the humanization pass in Step 5
  • If not found: tell the user once, then fall back to inline humanization rules (Step 5b). Suggest installing a humanizer skill for the chosen language.

Step 1 — Language & audience

Ask:

  1. "In what language should I write the report? (French / English / other)"
  2. "Who is the primary reader? (executive / HR / direct management / external client / internal archive)"

Then load references/tone-of-voice.md and apply its guidance throughout.

Step 2 — Template

Ask:

"Do you have a Word (.docx) template for this report? (company header/footer, logo, branded fonts, color scheme)"
  • Yes → ask them to upload it; use it as the base at Step 6 (unpack/inject/repack)
  • No → proceed with a clean document; ask for a brand color before defaulting to blue #2E75B6

Step 3 — Interview

Conduct a structured interview in batches. Wait for answers before moving on. Extract what the user already told you from the conversation before asking.

Batch A — Session metadata

  • Trainer name and role
  • Date, location, company/team name
  • Duration
  • Total number of participants
  • Confirm or refine: who is the document for?

Batch B — Session context

  • Stated goal of the training
  • Subject, topic, tool, or material used as practical support
  • Any rules or constraints set at the start
  • Materials, accounts, licenses, or equipment provided to participants

Batch C — Starting levels

  • Distribution of familiarity across the group (any beginners? any experts?)
  • Notable outliers at either end

Batch D — Session walkthrough

Walk through the session step by step. For each step:

  • Objective
  • What participants actually did
  • Materials, tools, or exercises involved
  • First exposure to this concept or not
  • How it landed; any difficulties

Probe until complete: "What happened next?", "Did anything go differently than planned?", "Were there any pivots?"

Batch E — Deliverables

Ask: "Did participants produce anything during the session?"

Probe for:

  • Documents, files, diagrams, prototypes, or any output created during exercises
  • Collaborative work produced as a group
  • Individual work produced autonomously
  • Anything left incomplete or started but not finished

These may appear in the Annexes and/or be referenced in the Session Walkthrough.

Batch F — General observations

  • Overall energy and engagement of the group
  • Any incidents, surprises, or notable moments
  • Schedule: did it hold, or were sections cut/extended?
  • Logistical issues (room, materials, setup)

General Observations is optional. If the trainer has nothing notable to add beyond the walkthrough, skip this section entirely.

Batch G — Individual feedback

Ask: "Do you have specific observations for any individual participant?"

For each named participant, extract:

  • Role or background
  • Starting level
  • Behavior/engagement (positive and negative)
  • Notable evolution, breakthrough, or resistance
  • How they ended the session

Individual Feedback is optional. Only write it if the trainer explicitly provides meaningful observations. Do not prompt for feedback on every participant.

Be diplomatic. Describe behaviors, not character. Name problems factually; do not editorialize. When writing for an external client about a team you don't know, consider whether naming individuals is appropriate at all.

See references/tone-of-voice.md — Diplomatic framing section.

Batch H — Recommendations & next steps

Ask: "What would you recommend to the direction/client to build on this session?"

Probe for:

  • Resources and access to provide (licenses, books, platforms, communities)
  • Practices to anchor in daily work
  • What to pace carefully — basics before advanced material
  • Follow-up sessions (refresher, coaching, Q&A after a few weeks)
  • Assessment and validation (quiz, practical challenge, peer review, checklist)
  • Knowledge-sharing rituals (Slack/Teams channel, recurring meeting, Loom demos, buddy system, monthly show-and-tell)
  • Management involvement (protect practice time, 1:1 check-ins, celebrate wins)
  • External resources (books, courses, certifications) for self-driven participants
  • Specific warnings or caveats for management

Batch I — Annexes

Ask: "Do you have any annexes to attach to the report?"

Annexes can include:

  • Photos from the session
  • Satisfaction survey results (NPS, ratings, verbatim comments)
  • Slides or handouts distributed during the session
  • Work produced by participants (exercises, prototypes, documents, diagrams)
  • Reference documents used during the session
  • Any other supporting material

For each annex:

  • Image → attempt auto-embed at Step 6
  • File (PDF, slides, spreadsheet) → reference in the Annexes section; do not embed
  • Survey data → synthesize in Step 4, then include as a dedicated section in the doc
  • Participant deliverable → reference in the relevant Walkthrough step AND in Annexes

Batch J — Closing & contact

Ask: "May I include a closing note thanking the team for the invitation, and your contact details for future collaboration? (email + phone)"

If yes: collect name, email, phone. The closing is written in the document language, personal in tone, brief. See references/markdown-draft.md — Closing paragraph section.

Step 4 — Feedback synthesis (if survey data provided)

Produce a synthesis in the conversation before drafting:

  • Overall score / NPS
  • Rating distribution
  • Top 3 positive themes
  • Top 3 areas for improvement
  • Any outlier responses

Ask the user to confirm before it enters the document.

Step 4b — Confirm outline

Here's what I'll draft:
1. Context
2. Starting Levels
3. Session Walkthrough (N steps)
4. General Observations         [optional — include if trainer provided content]
5. Participant Satisfaction     [only if survey data provided]
6. Individual Feedback          [optional — include if trainer provided feedback]
7. Recommendations & Next Steps
8. Annexes                      [only if annexes provided]
[Closing + contact]

Language: [language] | Audience: [target] | Template: [yes/no]

Ask: "Anything to adjust before I start the draft?"

Step 5 — Markdown draft

Load references/markdown-draft.md before writing. It contains the full section-by- section writing guide, Markdown limitations, HTML table workarounds, and closing paragraph guidance.

Humanization pass

Before presenting the draft, apply the humanizer skill (loaded in Step 0). If no humanizer skill is available, apply these rules inline:

  • Cut all AI throat-clearing openers and sentence starters
  • Cut adjective doublets — pick the more precise word
  • Replace passive voice with active wherever natural
  • Replace vague praise or criticism with specific behaviors or facts
  • Short sentences over long ones
  • Adapt to the document language (see references/tone-of-voice.md)

Do not present an un-humanized draft.

Iteration loop

Present the draft inline in the conversation. Let the user lead. Update the .md file for every change. One canonical file, no versions. Only move to Step 6 when the user explicitly confirms the content is final.

Step 6 — Final .docx generation

Load references/docx-generation.md and the docx skill before starting.

This step runs once. It is terminal: if the user requests changes after the .docx is generated, update the .md and regenerate from scratch.

Deliver both files. If the environment supports inline file delivery (e.g. present_files on Claude.ai), use it. Otherwise, print the absolute paths to both files.

Pitfalls

  • Don't fabricate details — only document what the trainer explicitly provided
  • Don't editorialize in General Observations — factual only
  • Don't write Individual Feedback unless explicitly provided — and stay diplomatic
  • Don't pad recommendations — 6 sharp ones beat 12 vague ones
  • Always include a Pacing recommendation in the Next Steps
  • This skill is not developer-specific — adapt vocabulary to the discipline
  • Never generate the .docx mid-conversation — Markdown is the draft stage
  • Never skip an annex or image — embed, reference, or placeholder

平台分布

OpenClaw

96.34%
按下载量换算595

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install training-report 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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