presentation-skill

REVIEW · 66
Registry indexed

Build, edit, redesign, render, and verify polished editable PowerPoint `.pptx` decks from a prompt, structured JSON, local data, or a saved workspace. Use for scientific, lab, clinical, consulting, board, investor, editorial, policy, and operational presentations where narrative,

Verified installs0
Stars44
Version1.0.0
Quality63/100 · Promising
Trust66/100 · Sandbox only
Audit78/100 · Needs review

Supply asset profile

Presentation and deck workflows

PPTX generation, HTML slides, pitch decks, speaker notes, and presentation workflow skills.

Browse track

Scenario

Presentation generation

I need my agent to create a polished presentation deck from a brief, document, URL, or research notes, preferably with editable PPTX or HTML slides.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add siril9/presentation-skill --skill presentation-skill

Maintenance

fresh

Pushed today

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

44

63/100 Quality · 74/100 Trust

Coverage tags

PresentationPresentation generationdesign-creativeagent-skill

Review notes

Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
63

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
66

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
78

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

44 GitHub stars

Repo activity

44 stars, 13 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add siril9/presentation-skill --skill presentation-skill

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Presentation generation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Choose the right deck format

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add siril9/presentation-skill --skill presentation-skill
Policy
review
Human review
yes

Trust and risk

Trust
66/100
Audit
78/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add siril9/presentation-skill --skill presentation-skill

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution

Agent safety v2

46/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install siril9-presentation-skill

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use presentation-skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20presentation-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/siril9-presentation-skill/install
Install command: npx skills add siril9/presentation-skill --skill presentation-skill
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use presentation-skill for this task. Review https://www.openagentskill.com/api/skills/siril9-presentation-skill/install, then install with: npx skills add siril9/presentation-skill --skill presentation-skill

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

62/100

Presentation generation

Platforms

Claude Code

Audit report

Needs review · 78/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Presentation generation

Prototype with this skill first; keep a fallback candidate ready.

62
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Presentation generation

Trust label

Prototype first

Install path

Command ready

Use when

  • Presentation generation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 63/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Presentation generation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

66
OpenAgentSkill Trust Score

GitHub adoption

CHECK

44 GitHub stars

Stars/forks activity

CHECK

44 stars, 13 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 44 GitHub stars
  • Stars/forks activity: 44 stars, 13 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

63
GitHub stars
44
Freshness
Today
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: presentation-skill description: Build, edit, redesign, render, and verify polished editable PowerPoint `.pptx` decks from a prompt, structured JSON, local data, or a saved workspace. Use for scientific, lab, clinical, consulting, board, investor, editorial, policy, and operational presentations where narrative, visual hierarchy, readability, and reproducibility matter. ---

# Presentation Skill

Create editable PowerPoint decks from source. The model owns the argument, evidence, and design judgment; the skill owns deterministic rendering and QA.

## Core Contract

- Treat `outline.json`, planning files, data, and figure scripts as source. - Build with repository commands. Do not write one-off deck generators or patch a generated PPTX when source exists. - Keep text, charts, tables, diagrams, and figures editable where practical. - Use the selected grammar as a design system, not a fixed slide sequence. - Fix source and rebuild until geometry, readability, placeholders, and rendered visual review pass. - Do not copy proprietary slides, logos, wording, or distinctive geometry.

Run commands from this skill directory. Use absolute paths for deck files kept elsewhere. Check the pinned runtime once:

```bash npm run doctor ```

If required, run `npm run setup:python` once. Do not substitute arbitrary Python or Office application workflows for the supported runtime.

## Choose A Route

### Quick Deck

Use for a one-off 5-10 slide deck.

1. Emit a small model-ready brief:

```bash python3 scripts/present.py brief \ --topic "Deck topic" \ --prompt "Original request" \ --slides 7 \ --profile auto \ --output quick_deck_agent_brief.json ```

2. Read the brief and author `outline.json`. Select one bounded route candidate, then adapt its starter sequence to the actual evidence. `role` names the editable structure; `slide_intent` names the story job.

3. Build, render, and hard-gate it:

```bash python3 scripts/present.py finalize \ --outline /absolute/path/outline.json \ --output /absolute/path/output.pptx \ --qa-dir /absolute/path/qa ```

Read `finalize_receipt.json`, `qa_report.json`, and the contact sheet. Repair source once, then rerun. Warning-only preflight findings are recorded; outline errors and final QA findings remain blocking.

### Saved Workspace

Use for decks that will be rebuilt, audited, or iterated:

```bash python3 scripts/present.py init \ --workspace /absolute/path/deck-workspace \ --title "Deck title" \ --prompt "Original request" \ --profile auto \ --style-preset auto

python3 scripts/present.py build \ --workspace /absolute/path/deck-workspace \ --draft

python3 scripts/present.py build \ --workspace /absolute/path/deck-workspace ```

The default workspace is compact. Add `--audit-packet` to `present.py init` only when a full intake/multi-agent recovery ledger is useful.

Author or update:

- `design_brief.json`: audience, style, readability, and QA contract - `content_plan.json`: thesis, narrative arc, and slide roles - `evidence_plan.json`: claims, sources, and chart candidates - `asset_plan.json`: figures, tables, charts, images, and icons - `outline.json`: renderable slide source - `notes.md`: assumptions and unresolved decisions

The build also writes deterministic `build/deck_ir.json`, a coordinate-free semantic representation with stable object IDs, evidence links, reading order, and editability metadata. Renderer scripts continue to own coordinates.

### Existing PPTX

When source exists, edit source. For a standalone PPTX, inspect it first:

```bash python3 scripts/python_runtime.py scripts/reference_deck.py inspect \ --input /absolute/path/input.pptx \ --output /absolute/path/reference_deck_manifest.json ```

Use a typed `reference_deck_patch_v1` for narrow text or alt-text edits. Use `scripts/extract_pptx_style.py` plus a fresh workspace for a source-first redesign inspired by an existing deck. Read `references/editing.md` before editing package internals.

## Model Profiles

Profiles change orchestration, not the final quality definition:

- `fast` / `luna`: one deterministic grammar, no scouts, render-free draft, then one final render. - `balanced` / `terra`: two bounded grammar candidates, at most one useful scout, one focused repair loop. - `quality-first` / `sol`: three bounded grammar candidates, optional design and data scouts, full rendered review for difficult or high-stakes work. - `auto`: quality-first for high-stakes/evidence-heavy work, fast for explicit rough drafts, balanced otherwise.

Use the smallest profile that can pass the artifact gates. Stronger models may choose and mix bounded treatments dynamically; they should not receive the full corpus or arbitrary coordinates. If uncertain, use the deterministic fallback recorded in the brief.

## Design Decisions

Choose one primary grammar from topic, audience, evidence shape, and density. The eight structural grammar families own distinct title, section, evidence, comparison, data, decision, and references systems. Presets contribute palette, type, and treatment vocabulary; they are not static templates.

Maintain these invariants:

- One dominant idea and a clear reading path per slide. - Every content slide has a visual or evidence anchor: chart, table, figure, image, KPI, timeline, matrix, or structured comparison. - No centered body copy and no sequence dominated by bullet-only slides. - Vary composition with the argument; avoid repeating one card grid, border, title treatment, or two-column shell. - Use `header_variant: auto` with a stable seed for reproducible heading, top-line, bottom-line, no-line, and compact report treatments. - Keep source text and page numbers in the reserved footer region; do not let footer chrome compete with the evidence. - Use `role_layout_variant: primary | alternate | dense` for bounded structural variation. Do not place arbitrary coordinates in `outline.json`. - Keep one grammar coherent across the deck. Borrow at most two isolated treatments when the content shape benefits.

Readable defaults for ordinary delivery:

- titles at least 28 pt; - body text at least 16 pt; - captions, sources, and metadata at least 9 pt; - no more than two title lines; - shorten, split, or convert prose into evidence objects before shrinking.

Use actual content to balance white space. Sparse slides need a stronger anchor; dense slides need fewer words or a more suitable structure, not smaller type.

For structural routing details, read `references/composition_grammar_catalog.md`. For screenshot/template inspiration, read `references/style_reference_catalog.md`. The descriptor corpus is retrieval memory; load only the selected record or distilled atoms.

## Data And Figures

For local CSV, TSV, XLSX, or JSON evidence, keep generated artifacts reproducible:

```bash python3 scripts/python_runtime.py scripts/scaffold_figure_artifacts.py \ --workspace /absolute/path/deck-workspace \ --run \ --bind-outline ```

Preserve source fingerprints, figure scripts, chart/table JSON, artifact manifests, slide bindings, and rebuild commands. Solve whitespace and label readability in the figure script before placing the figure. Stage sourced images through `asset_plan.json` with attribution. Generated imagery must remain optional and carry prompt/model/purpose metadata.

Read `references/reproducible_workflow.md` only when the deck contains computed evidence or generated figures.

## QA And Delivery

A deliverable deck must pass:

1. planning and outline preflight; 2. geometry, overflow, overlap, density, and whitespace checks; 3. rendered contact-sheet and slide-level visual review; 4. placeholder-text checks; 5. accessibility checks when required; 6. final delivery readiness.

Visual review should search for defects: clipped text, weak contrast, awkward empty regions, crowded edges, tiny labels, inconsistent alignment, repeated grammar, and unreadable sources. Fix source and rebuild.

If rendering is unavailable in the execution environment, preserve the built deck and static QA report, record the deferred render stage in the receipt, and do not probe unrelated Office apps.

## Progressive References

Read only what the current task needs:

- `DESIGN.md`: compact design contract - `references/model_adaptive_workflow.md`: profile selection and context budgets - `references/deck_workspace_mode.md`: persistent workspace workflow - `references/outline_schema.md`: schema or preflight failures - `references/editing.md`: existing PPTX edits - `references/reproducible_workflow.md`: data and figure artifacts - `references/style_reference_catalog.md`: inspiration and screenshot matching - `references/composition_grammar_catalog.md`: structural grammar routing - `references/pptxgenjs.md`: renderer development only - `references/visual_qa_prompt.md`: independent rendered review - `references/benchmark_protocol.md`: fair comparison or superiority claims

Do not preload all references, presets, or corpus records.

## Development

After changing runtime behavior, run:

```bash npm run check:python npm run check:node npm run check:present npm run check:focused ```

Visual changes require a rendered proof. Showcase decks alone do not justify a claim that this skill outperforms another generator; use the frozen benchmark protocol and report only supported results.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

62
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

78
Needs review
Security
80/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for presentation-skill, ready for a manual X post.

Curator note
presentation-skill: Build, edit, redesign, render, and verify polished editable PowerPoint `.pptx` decks from a p...

44 stars

https://www.openagentskill.com/skills/siril9-presentation-skill?ref=x
Open X draft
Optional reply with install command
Listing + install path for presentation-skill:
https://www.openagentskill.com/skills/siril9-presentation-skill?ref=x

Install: npx skills add siril9/presentation-skill --skill presentation-skill

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
siril9
Indexed by
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to siril9 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

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Author

S

siril9

@siril9

Platform fit

Health signals

GitHub stars
44
Quality score
35/100
Last GitHub push
Aug 24, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

66
  • GitHub adoption44 GitHub starsCHECK
  • Stars/forks activity44 stars, 13 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskcommand execution surfaceINFO