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.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
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.
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.
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.
File
Load at
references/tone-of-voice.md
Step 1 (after language + audience confirmed)
references/markdown-draft.md
Step 5 (before writing the draft)
references/docx-generation.md
Step 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:
"In what language should I write the report? (French / English / other)"
"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)
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
