Prompt Of The Week logo

Prompt Of The Week

Organization
pnp
prompt-of-the-week

Generates a weekly PowerPoint slide from a PnP copilot-prompts GitHub sample URL (for example, samples/agent-instructions/creator-agent), derives the correct weekly title from the sample folder, and produces a styled .pptx file that matches the Prompt-K template layout.

Overview

Publisherpnp
Repositorycopilot-prompts
Skill nameprompt-of-the-week
Stars
894
Forks
307
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by pnp on GitHub. Read the source before you install it.

Installation

Install the Prompt Of The Week AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pnp/copilot-prompts/tree/main/samples/skills/prompt-of-the-week
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pnp/copilot-prompts.git /tmp/copilot-prompts
mkdir -p .claude/skills
cp -r /tmp/copilot-prompts/samples/skills/prompt-of-the-week .claude/skills/prompt-of-the-week
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prompt Of The Week in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prompt Of The Week on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prompt Of The Week is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Prompt-of-the-Week PPTX Skill

Think of this skill as a mail merge meets slide design: the GitHub repo is the data source, and the Prompt-K.pptx template is the envelope. Your job is to pour the right data into the right slots without disturbing the surrounding design.


Quick Overview

StepWhat you do
1Fetch & parse the GitHub sample (README + sample.json)
2Extract the five data fields (see below)
3Copy the template and inject fields via XML editing
4Swap the author photo using the image in the skill's author/ folder
5QA visually, then present the file

Author Photo Convention (IMPORTANT)

The skill ships with an author/ folder that always contains exactly one image — the photo of the current week's author. Always use that file as the photo for the slide. Do not attempt to download avatars from GitHub or the web — this sandbox has no outbound internet access for binary fetches.

bash
SKILL_DIR="/mnt/user-config/.claude/skills/prompt-of-the-week"
AUTHOR_IMG=$(ls "$SKILL_DIR/author/" | head -1)   # exactly one file expected
AUTHOR_PATH="$SKILL_DIR/author/$AUTHOR_IMG"

If the folder is empty or missing, ask the user to drop the week's author photo into prompt-of-the-week/author/ before continuing. The user maintains this folder — replacing the image each week is part of their workflow.

To swap it into the slide (the visible photo on the right side is Picture 30 / id=31 / rId5 → image5.png, NOT the off-slide Image 1 / id=3 / rId3):

  1. Convert the author image to PNG and overwrite working/unpacked/ppt/media/image5.png. Keeping the filename means no rels or [Content_Types].xml edits are needed:
    python
    from PIL import Image
    Image.open(AUTHOR_PATH).save('working/unpacked/ppt/media/image5.png', 'PNG')
  2. Do NOT touch Image 1 (id=3, rId3) — that shape sits off-slide and is not visible. The skill's earlier instructions referencing rId3 were wrong; rId5 is the correct target.
  3. The Picture 30 shape already has photo effects (sharpen, brightness/contrast) and a 3D bevel applied — these stay as-is and apply to the new image automatically. Square (1:1) author images render best.

Step 1 — Fetch Data from GitHub

The user will provide a URL like:

https://github.com/pnp/copilot-prompts/tree/main/samples/agent-instructions/creator-agent

Convert it to raw content URLs and fetch both files:

bash
# Convert tree URL → raw URL pattern
# https://github.com/{owner}/{repo}/tree/{branch}/{path}
# → https://raw.githubusercontent.com/{owner}/{repo}/{branch}/{path}/README.md
# → https://raw.githubusercontent.com/{owner}/{repo}/{branch}/{path}/assets/sample.json

SAMPLE_PATH="samples/agent-instructions/creator-agent"  # extracted from URL
README_URL="https://raw.githubusercontent.com/pnp/copilot-prompts/main/${SAMPLE_PATH}/README.md"
META_URL="https://raw.githubusercontent.com/pnp/copilot-prompts/main/${SAMPLE_PATH}/assets/sample.json"

curl -sSL "$README_URL" -o /home/claude/sample_readme.md
curl -sSL "$META_URL" -o /home/claude/sample_meta.json 2>/dev/null || echo "{}" > /home/claude/sample_meta.json

If curl fails (network restrictions), use the web_fetch tool directly on the raw URLs.


Step 2 — Extract the Required Fields

Parse the fetched content with Python. Every field maps to exactly one shape in the template.

python
import json, re

readme = open('/home/claude/sample_readme.md').read()
meta   = json.load(open('/home/claude/sample_meta.json')) if open('/home/claude/sample_meta.json').read().strip() != '{}' else {}
sample_parts = SAMPLE_PATH.strip('/').split('/')
sample_folder = sample_parts[-2] if len(sample_parts) >= 2 else ''

# Top tile varies by source folder.
if sample_folder == 'agent-instructions':
    title_top = 'System Prompt of the Week'
elif sample_folder == 'skills':
    title_top = 'Skill of the Week'
else:
    title_top = 'Prompt of the Week'

# ── Field 1: Agent / Prompt Title ──────────────────────────────────────────
# Prefer: first H1 heading in README; fallback to meta['title']
title_match = re.search(r'^#\s+(.+)', readme, re.MULTILINE)
agent_title = title_match.group(1).strip() if title_match else meta.get('title', 'Unknown Agent')

# ── Field 2: The Prompt (system prompt body) ────────────────────────────────
# Look for a code block (```markdown / ``` / ```text) that contains the prompt,
# OR a section headed "## Prompt" / "## Instructions" / "## System Prompt"
prompt_body = ''
block = re.search(r'(?:##\s+(?:Prompt|Instructions?|System Prompt)[^\n]*\n)(.*?)(?=\n##|\Z)', readme, re.DOTALL)
if block:
    prompt_body = block.group(1).strip()
    # Strip fenced code delimiters if present
    prompt_body = re.sub(r'^```[a-z]*\n?', '', prompt_body, flags=re.MULTILINE).strip('`\n ')

# ── Field 3: Author name ────────────────────────────────────────────────────
# Check meta['authors'][0]['name'], then README "Author:" line
author = ''
if meta.get('authors'):
    author = meta['authors'][0].get('name', '')
if not author:
    auth_match = re.search(r'[Aa]uthor[:\s]+([^\n]+)', readme)
    if auth_match:
        author = auth_match.group(1).strip()

# ── Field 4: Compatibility / tags summary (optional, shown in footer area) ──
tags = ', '.join(meta.get('tags', []))

# ── Field 5: Sample folder name (used as slug / emoji label) ────────────────
sample_name = SAMPLE_PATH.split('/')[-1].replace('-', ' ').title()

print(f"Top tile: {title_top}")
print(f"Title:   {agent_title}")
print(f"Author:  {author}")
print(f"Tags:    {tags}")
print(f"Prompt preview: {prompt_body[:120]}...")

Use these folder rules when setting the top tile in the slide:

Source folderTop tile text
agent-instructionsSystem Prompt of the Week
promptsPrompt of the Week
skillsSkill of the Week

Analogy: The slide fields are like variables in a template literal — ${title}, ${author}, etc. The XML editing in Step 3 is the interpolation engine.


Step 3 — Edit the Template

See references/xml-field-map.md for the exact XML shape names and replacement strategy.

bash
# 1. Copy template to working location
cp /path/to/skill/references/Prompt-K.pptx /home/claude/output.pptx

# 2. Unpack
python /mnt/skills/public/pptx/scripts/office/unpack.py /home/claude/output.pptx /home/claude/unpacked/

# 3. Edit slide1.xml  ← all content lives on the single slide
#    (Use str_replace tool — one replacement per shape)
#    Set the top title shape to title_top based on SAMPLE_PATH:
#    agent-instructions => "System Prompt of the Week"
#    prompts => "Prompt of the Week"
#    skills => "Skill of the Week"

# 4. Clean & repack
python /mnt/skills/public/pptx/scripts/clean.py /home/claude/unpacked/
python /mnt/skills/public/pptx/scripts/office/pack.py /home/claude/unpacked/ /home/claude/output.pptx \
       --original /path/to/skill/references/Prompt-K.pptx

When editing XML text nodes, always preserve surrounding <a:r> run tags and their <a:rPr> formatting. Only replace the inner <a:t> content. Changing run properties will break fonts and colours.


Step 4 — QA & Present

bash
# Convert to image for visual check
python /mnt/skills/public/pptx/scripts/office/soffice.py --headless --convert-to pdf /home/claude/output.pptx
pdftoppm -jpeg -r 150 /home/claude/output.pdf /home/claude/slide
ls /home/claude/slide*.jpg

Visually verify (use the view tool on the jpg):

  • Top tile text matches the sample folder (agent-instructions, prompts, or skills)
  • Title text matches the sample name
  • Prompt body is not cut off or overflowing the dashed border box
  • Author name is visible in the right-side name badge
  • The author photo on the right matches the image from the skill's author/ folder
  • No leftover placeholder text ("The PROMPT…", "Creator Agent", "Cyprien Maloeuvre")

Then copy to outputs and present:

bash
cp /home/claude/output.pptx /mnt/user-data/outputs/PromptOfTheWeek.pptx

Reference Files

FileWhen to read
references/xml-field-map.mdBefore editing slide1.xml — shows exact shape names, XML paths, and character limits
references/Prompt-K.pptxThe canonical template — always copy this, never edit it directly

Read references/xml-field-map.md before you open slide1.xml.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prompt Of The Week AI skill do?

Generates a weekly PowerPoint slide from a PnP copilot-prompts GitHub sample URL (for example, samples/agent-instructions/creator-agent), derives the correct weekly title from the sample folder, and produces a styled .pptx file that matches the Prompt-K template layout.

Why use Prompt Of The Week on TypingMind?

Because you install it once and use it with any model. Prompt Of The Week is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prompt Of The Week in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pnp/copilot-prompts/tree/main/samples/skills/prompt-of-the-week. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prompt Of The Week?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prompt Of The Week?

As many as you like. As long as a model supports skills, you can use Prompt Of The Week with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prompt Of The Week AI skill free?

Yes. It is published on GitHub by pnp under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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