presentation-skill
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,
Supply asset profile
Presentation and deck workflows
PPTX generation, HTML slides, pitch decks, speaker notes, and presentation workflow skills.
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
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
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.
Suited tasks
- Presentation generation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Choose the right deck format
Suited agents
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-skillDo 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
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Agent safety v2
46/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
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-skillAgent 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 JSON
/api/agent/resolve?task=Use%20presentation-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20presentation-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/siril9-presentation-skill/install
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.
Install handoff
/api/skills/siril9-presentation-skill/install
LLM text format
/api/skills/siril9-presentation-skill/install?format=text
Find alternatives
/api/skills/search?q=presentation-skill&limit=3
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-skillRegistry 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.
Manifest
/api/registry/manifest/siril9-presentation-skill
LLM text
/api/registry/manifest/siril9-presentation-skill?format=text
Install alias
/api/registry/install/siril9-presentation-skill
Recommend
/api/registry/recommend?task=Use%20presentation-skill%20in%20an%20agent%20workflow&limit=3
Agent fit
Presentation generation
Platforms
Claude Code
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Presentation generation
Prototype with this skill first; keep a fallback candidate ready.
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
- 1Install it in a sandbox agent and run one Presentation generation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
GitHub adoption
CHECK44 GitHub stars
Stars/forks activity
CHECK44 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
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.
Workflow fit
Use this skill in these scenarios
Create decks
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.
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Add it to a complete workflow
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Compare before you install
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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
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 80/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for presentation-skill, ready for a manual X post.
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
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
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- siril9
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/siril9-presentation-skill)
[](https://www.openagentskill.com/skills/siril9-presentation-skill)
[](https://www.openagentskill.com/skills/siril9-presentation-skill/audit)
[](https://www.openagentskill.com/skills/siril9-presentation-skill)Author
siril9
@siril9
Tags
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
- 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
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