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training-report培训报告

Agent Skill

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。

总安装

1,764

周安装

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618
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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可疑

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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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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