Add pptx-denote skill to remove all slide notes from a .pptx file

[justinyoo]

Pull Request Checklist

• I have read and followed the CONTRIBUTING.md guidelines.
• I have read and followed the Guidance for submissions involving paid services.
• My contribution adds a new instruction, prompt, agent, skill, workflow, or canvas extension file in the correct directory.
• The file follows the required naming convention.
• The content is clearly structured and follows the example format.
• I have tested my instructions, prompt, agent, skill, workflow, or canvas extension with GitHub Copilot.
• I have run npm start and verified that README.md is up to date.
• I am targeting the staged branch for this pull request.

Note: The "tested with GitHub Copilot" box is left unchecked pending the author's confirmation that the skill has been exercised end-to-end with Copilot.

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Description

Adds a new pptx-denote skill that removes all slide notes from a PowerPoint (.pptx) presentation using the open-source python-pptx library.

Given an input .pptx file, the skill clears the notes text from every slide and writes a new file. When no output path is supplied, it defaults to <input>-denoted.pptx. No paid services are involved.

Files added:

• skills/pptx-denote/SKILL.md
• skills/pptx-denote/scripts/remove_notes.py

Validation:

• npm run skill:validate -> all skills valid (including pptx-denote).
• npm run build -> docs/README.skills.md regenerated with the new entry.

---

Type of Contribution

• New instruction file.
• New prompt file.
• New agent file.
• New plugin.
• New skill file.
• New agentic workflow.
• New canvas extension.
• Update to existing instruction, prompt, agent, plugin, skill, workflow, or canvas extension.
• Other (please specify):

---

Additional Notes

The skill requires python-pptx to be installed (pip install python-pptx), as documented in SKILL.md.

---

By submitting this pull request, I confirm that my contribution abides by the Code of Conduct and will be licensed under the MIT License.

[github-actions]

✅ External plugin PR checks passed

• Changed entries detected: 0
• Workflow state label: ready-for-review

Per-plugin quality summary

Plugin	skill-validator	install smoke test	overall	source tree
none	not_run	not_run	not_run	n/a

No changed external plugin entries were detected in this PR.

[Copilot]

Copilot wasn't able to review this pull request because it exceeds the maximum number of files (300). Try reducing the number of changed files and requesting a review from Copilot again.

[github-actions]

🔒 PR Risk Scan Results

Scanned 14 changed file(s).

Severity	Count
🔴 High	0
🟠 Medium	4
ℹ️ Info	1

Severity	Rule	File	Line	Match
🟠	package-exec-command	docs/README.skills.md	31	| [acreadiness-assess](../skills/acreadiness-assess/SKILL.md)<br />`gh skills install github/awesome-copilot acreadiness-assess` | Run the AgentRC readiness assessment on the curre
🟠	unpinned-version-indicator	plugins/aws-cloud-development/skills/aws-cost-optimize/SKILL.md	110	High: Score > 20 | Medium: Score 5-20 | Low: Score < 5
🟠	unpinned-version-indicator	plugins/aws-cloud-development/skills/aws-resource-health-diagnose/SKILL.md	97	--query-string 'filter @​​type = "REPORT" | filter @​​initDuration > 0 | stats count() as coldStarts by bin(1h)'
🟠	unpinned-version-indicator	plugins/aws-cloud-development/skills/aws-resource-health-diagnose/SKILL.md	113	- **High**: Performance degradation, error rates >5%, intermittent failures
ℹ️	skill-script-touched	skills/pptx-denote/scripts/remove_notes.py	1	skills/pptx-denote/scripts/remove_notes.py

This is an automated soft-gate report. Findings indicate review targets and do not block merge by themselves.

[github-actions]

🔍 Skill Validator Results

⚠️ Warnings or advisories found

Scope	Checked
Skills	8
Agents	0
Total	8

Severity	Count
❌ Errors	0
⚠️ Warnings	5
ℹ️ Advisories	0

Summary

Level	Finding
ℹ️	Found 8 skill(s)
ℹ️	[aws-cost-optimize] 📊 aws-cost-optimize: 2,004 BPE tokens [chars/4: 2,047] (detailed ✓), 19 sections, 6 code blocks
ℹ️	[aws-resource-health-diagnose] 📊 aws-resource-health-diagnose: 1,695 BPE tokens [chars/4: 1,743] (detailed ✓), 31 sections, 5 code blocks
ℹ️	[aws-resource-query] 📊 aws-resource-query: 5,900 BPE tokens [chars/4: 5,521] (comprehensive ✗), 154 sections, 23 code blocks
ℹ️	[aws-resource-query] ⚠ Skill is 5,900 BPE tokens (chars/4 estimate: 5,521) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
ℹ️	[aws-well-architected-review] 📊 aws-well-architected-review: 1,860 BPE tokens [chars/4: 1,890] (detailed ✓), 24 sections, 4 code blocks
ℹ️	[from-the-other-side-anitta] 📊 from-the-other-side-anitta: 788 BPE tokens [chars/4: 999] (detailed ✓), 15 sections, 0 code blocks
ℹ️	[from-the-other-side-anitta] ⚠ No code blocks — agents perform better with concrete snippets and commands.
ℹ️	[from-the-other-side-quinn] 📊 from-the-other-side-quinn: 559 BPE tokens [chars/4: 695] (detailed ✓), 12 sections, 0 code blocks
ℹ️	[from-the-other-side-quinn] ⚠ No code blocks — agents perform better with concrete snippets and commands.

Full validator output

Found 8 skill(s)
[aws-cost-optimize] 📊 aws-cost-optimize: 2,004 BPE tokens [chars/4: 2,047] (detailed ✓), 19 sections, 6 code blocks
[aws-resource-health-diagnose] 📊 aws-resource-health-diagnose: 1,695 BPE tokens [chars/4: 1,743] (detailed ✓), 31 sections, 5 code blocks
[aws-resource-query] 📊 aws-resource-query: 5,900 BPE tokens [chars/4: 5,521] (comprehensive ✗), 154 sections, 23 code blocks
[aws-resource-query]    ⚠  Skill is 5,900 BPE tokens (chars/4 estimate: 5,521) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[aws-well-architected-review] 📊 aws-well-architected-review: 1,860 BPE tokens [chars/4: 1,890] (detailed ✓), 24 sections, 4 code blocks
[from-the-other-side-anitta] 📊 from-the-other-side-anitta: 788 BPE tokens [chars/4: 999] (detailed ✓), 15 sections, 0 code blocks
[from-the-other-side-anitta]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-quinn] 📊 from-the-other-side-quinn: 559 BPE tokens [chars/4: 695] (detailed ✓), 12 sections, 0 code blocks
[from-the-other-side-quinn]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-wiggins] 📊 from-the-other-side-wiggins: 776 BPE tokens [chars/4: 981] (detailed ✓), 16 sections, 0 code blocks
[from-the-other-side-wiggins]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pptx-denote] 📊 pptx-denote: 235 BPE tokens [chars/4: 261] (compact ✓), 2 sections, 2 code blocks
[pptx-denote]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
✅ All checks passed (8 skill(s))

[justinyoo]

@aaronpowell I'm not sure why this PR has included the ones other than mine. Should I close this and recreate another one?