presentation-skill

Tinjau · 66
Diindeks di Registry

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
Star44
Versi1.0.0
Kualitas63/100 · Menjanjikan
Kepercayaan66/100 · Hanya sandbox
Audit78/100 · Perlu ditinjau

Profil aset

Alur kerja presentasi dan slide

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

Lihat kategori

Skenario

Pembuatan presentasi

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.

Kecocokan Agent

Claude Code + CLI + Codex

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

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

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Permission surface may require sandboxing

Kualitas GitHub

44

63/100 Kualitas · 74/100 Kepercayaan

Tag cakupan

PresentasiPembuatan presentasiDesain dan kreatifagent-skill

Catatan ulasan

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

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Menjanjikan
63

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
66

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
78

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

44 star GitHub

Aktivitas repositori

44 star dan 13 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

MIT

Pasang

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

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

shell or command execution, filesystem or document access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Usable metadata, review docs

Ringkasan risiko

Tinjau sebelum produksi

  • 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

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • alur kerja Pembuatan presentasi
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Choose the right deck format

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add siril9/presentation-skill --skill presentation-skill
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
66/100
Audit
78/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

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

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Low GitHub adoption signal
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Permission surface may require sandboxing

Keamanan Agent v2

46/100 · Hindari pemasangan otomatis

EksperimentalTinjau

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

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

Selesaikan via API

Tinggi

Eksekusi shell atau perintah

Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

Sedang

Akses database

Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.

  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Permission surface may require sandboxing

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

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

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • 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.

Salin 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.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

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

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

63/100

Pembuatan presentasi

Platform

Claude Code

Laporan audit

Perlu ditinjau · 78/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Presentation generation

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

63
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Pembuatan presentasi

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja Pembuatan presentasi
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 63/100
  • 2 event interaksi OpenAgentSkill

tinjau dulu

  • Low GitHub adoption signal

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Pembuatan presentasi dari awal hingga akhir.
  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.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

66
Trust Score OpenAgentSkill

Adopsi GitHub

Periksa

44 star GitHub

Aktivitas star/fork

Periksa

44 star dan 13 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

MIT

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • 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
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

63
Star GitHub
44
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
MIT
Tinjau sebelum memasang: Low GitHub adoption signal

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- 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.

Detail teknis

Versi
1.0.0
Lisensi
MIT
Pembaruan terakhir
24 Agu 2026
Diterbitkan
24 Agu 2026

Ringkasan keputusan

Kandidat cadangan

63
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

78
Perlu ditinjau
Keamanan
80/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk presentation-skill, siap untuk posting manual di X.

Catatan kurator
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
Buka draf X
Balasan opsional dengan perintah pemasangan
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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
siril9
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan siril9, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/siril9-presentation-skill?metric=listed&label=Listed)](https://www.openagentskill.com/skills/siril9-presentation-skill)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/siril9-presentation-skill?metric=trust&label=Trust)](https://www.openagentskill.com/skills/siril9-presentation-skill)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/siril9-presentation-skill?metric=audit&label=Audit)](https://www.openagentskill.com/skills/siril9-presentation-skill/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/siril9-presentation-skill?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/siril9-presentation-skill)

Penulis

S

siril9

@siril9

Kecocokan platform

Sinyal kesehatan

Star GitHub
44
Skor kualitas
35/100
Push GitHub terakhir
24 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
2
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

66
  • Adopsi GitHub44 star GitHubPeriksa
  • Aktivitas star/fork44 star dan 13 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiMITLulus
  • Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
  • Risiko dependensi/runtimeCakupan eksekusi perintahInfo