# Presentation Skill > Presentation skill for Codex, ChatGPT agents, and OpenAI-style agents that build, edit, verify, or iterate polished PowerPoint `.pptx` presentations, slides, and slide decks from structured `outline.json` or saved workspaces. Use for editable deck generation, lab/clinical/scientific deck assembly, investor or board decks, editorial briefs, presentation design, source-backed assets, optional gener… - **Type:** Skill - **Install:** `agentstack add skill-sirilsengolraj-source-presentation-skill-presentation-skill` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [sirilsengolraj-source](https://agentstack.voostack.com/s/sirilsengolraj-source) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [sirilsengolraj-source](https://github.com/sirilsengolraj-source) - **Source:** https://github.com/sirilsengolraj-source/presentation-skill ## Install ```sh agentstack add skill-sirilsengolraj-source-presentation-skill-presentation-skill ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Presentation Skill Repo-native PowerPoint skill for editable, aligned, QA-checked `.pptx` decks. The model plans the story and visual strategy; scripts handle fragile rendering, staging, and verification. ## When to invoke this skill Trigger this skill on requests to: - build a one-off PowerPoint `.pptx`, slide deck, or presentation from a single prompt (quick-deck mode, no workspace needed) - generate a `.pptx` from a structured `outline.json` - redesign, rebuild, or extend an existing deck - create a lab, clinical, scientific, board, investor, or editorial deck - run layout, design, or readability QA on a generated deck - author or update a reusable deck workspace - convert CSV/TSV/XLSX/JSON data into slide-ready figures and tables Quick-deck mode is the right path for one-shot 5-10 slide decks. Workspace mode is for decks that will be iterated, audited, or rebuilt later. See `### Quick Deck` and `### Saved Workspace` under Workflow below. Do not invoke it for text-only brainstorming where no deck artifact is needed, or for direct edits to a generated `.pptx` when its saved workspace source files are available (fix the source instead). Skill name: `presentation-skill`. Compatibility aliases for fuzzy skill matching: `powerpoint-deck-builder`, `pptx-skill`, PowerPoint skill, PPTX skill, slide-deck generator, slides generator, deck builder, presentation generator, presentation maker, PowerPoint generator, Codex presentation skill, ChatGPT presentation skill, OpenAI agent presentation skill. ## Non-Negotiables - Do not write ad hoc inline `python-pptx` or `pptxgenjs` deck code. Author `outline.json` and run repo scripts. - Do not reinstall dependencies during deck generation. Missing dependency: report it and stop. - Do not skip QA for a deliverable deck. Use render-free QA when LibreOffice is unavailable. - For reusable/report decks, treat `validate_planning.py` warnings about missing artifact registries, stale generated artifacts, figure rebuild commands, readability contracts, speed contracts, QA contracts, acceptance evidence, or execution phases as source-planning feedback to fix before final delivery. - Fix source files (`outline.json`, plans, assets, renderer code), not mutated `.pptx` artifacts. - For a new topic, scaffold fresh. Do not clone another deck's structure as a house style. ## First Files To Read - `DESIGN.md`: compact design contract, colors, hierarchy, alignment rules, generated-image disclosure. - `references/outline_schema.md`: accepted `outline.json` fields and variants. - `references/planning_schema.md`: `design_brief.json`, `content_plan.json`, and `evidence_plan.json` shape. - `references/deck_workspace_mode.md`: saved-workspace workflow. - `references/agent_picker.md`: concise picker guidance for agents and people. - `references/reference_script_patterns.md`: reusable PPTX/DOCX/figure patterns from stronger one-off scripts; read when improving routing, scientific decks, or companion document workflows. - `references/style_reference_catalog.md`: publish-safe style-reference policy for using public decks, screenshots, PPTX corpora, and synthetic recreations without bundling proprietary material. - `references/dynamic_design_and_subagents.md`: bounded dynamic design modulation plus when to use content, data, routing, critique, and QA subagents. - `references/visual_qa_prompt.md`: visual-review packet and fresh-eyes inspection prompt. - `scripts/emit_deck_start_packet.py`: preferred first-turn packet for reusable decks; bundles a compact user question payload, reproducible design contract prompt, and staged subagent handoff commands. - `scripts/emit_deck_intake_prompt.py`: optional user-facing intake prompt for audience, style, palette, density, background, assets, sources, and constraints when personalization is underspecified. - `scripts/apply_deck_intake_answers.py`: deterministic bridge from Codex question-card answers to `design_brief.user_intake`, `style_seed`, notes, and planning-file source policy/asset posture. - `scripts/run_deck_start_intake_smoke.py`: focused fast smoke for the first-turn deck-start packet, versioned agent kickoff brief, durable intake answers, pre-answer readiness `record_deck_intake_answers` trigger, deterministic application, idempotence, and readiness `deck_intake` summary. - `scripts/emit_design_contract_prompt.py`: reproducible style/structure contract prompt to run immediately after the user request or intake answers, before authoring `outline.json`. - `scripts/apply_design_contract.py`: deterministic bridge from a returned `deck_design_contract_v1` JSON packet to `design_brief.json`, `content_plan.json`, `evidence_plan.json`, `asset_plan.json`, and `notes.md`. - `scripts/run_design_contract_apply_smoke.py`: focused fast smoke for the design-contract prompt, intake-seeded choice-resolution enrichment, deterministic contract application, idempotence, planning validation, and readiness `design_contract` summary. - `scripts/emit_outline_authoring_prompt.py`: contract-aware handoff prompt for replacing starter `outline.json` with authored slides plus aligned content/evidence/asset plan edits after `design_contract.json` is applied. - `scripts/apply_outline_authoring_handoff.py`: deterministic bridge from a returned `outline_authoring_handoff_v1` JSON packet to `outline.json`, `content_plan.json`, `evidence_plan.json`, `asset_plan.json`, and `notes.md`. - `scripts/run_outline_authoring_handoff_smoke.py`: focused fast smoke for the contract-aware outline prompt, deterministic handoff apply, source-plan alignment, readiness summary, PPTX build, and outline-aware render-free QA. - `scripts/run_reproducible_workflow_smoke.py`: fast end-to-end smoke for the deck-start, intake, design-contract, outline-handoff, strict render-free QA, and delivery-readiness handoff path. - `scripts/run_focused_workflow_checks.py`: aggregate fast smoke runner for the reproducible workflow, style-mix, layout polish, source-footer, and generated-data lanes; can run isolated checks concurrently while writing one compact JSON report with per-check durations and failure tails. - `scripts/extract_pptx_style.py`: source-only PPTX/corpus style extractor that emits observed header/footer/color/readability signals plus a reusable `design_brief.json` fragment for template-inspired decks. - `scripts/apply_pptx_style_fragment.py`: deterministic bridge from extracted PPTX style fragments to `design_brief.json`, `renderer_treatments`, `style_import`, and `notes.md`. - `scripts/style_reference_catalog.py`: synthetic publish-safe style DNA and content-treatment references for each preset, including title, comparison, chart, table, figure, dashboard, decision, and references behavior plus the `style_reference_mix_plan_v1` prompt matcher and `style_reference_layout_playbook_v1` variant map and `style_reference_structural_motif_library_v1` motif grammar plus `style_reference_metric_profile_v1` density/whitespace/object-bias metrics plus `style_reference_content_recipe_library_v1` content-slot recipes used by design-contract and outline-authoring prompts. - `references/style_reference_sources.json` and `scripts/style_reference_sources.py`: publish-safe source-intake manifest and validator for public decks, screenshots, PPTX corpora, and template-gallery inspiration. Use this before adding or citing external style references; it records license notes, source-verification evidence, allowed extraction modes, forbidden materials, generic style observations, reusable slide pattern extracts, attribution posture, and per-preset synthetic reconstruction routes. - `references/style_inspiration_corpus.json` and `scripts/style_inspiration_corpus.py`: descriptor-only inspiration corpus for public design systems, presentation tooling, template indexes, and slide design heuristics. Use it as a scalable source-index layer for prompt-to-style routing and subagent scouting; it stores rights posture, extraction limits, layout/palette/typography descriptors, per-preset routes, and the safety rule that no raw decks, screenshots, logos, proprietary text, or distinctive copied geometry are bundled. - `references/large_style_corpus_sources.json`, `references/large_style_corpus_catalog.json`, and `scripts/large_style_corpus.py`: descriptor-only large public deck corpus layer for real-world style discovery. Use it to index 2,000+ public/open deck-like records, balance overlap, prioritize AI-agent/tooling examples, emit compact LLM context, and replace redundant-looking preset treatments with original synthetic structure. It stores only public URLs, repository/path metadata, inferred style families, and descriptors; never raw decks, screenshots, copied slide text, logos, or distinctive source geometry. - `references/style_token_atlas.json`, `references/style_grammar_index.json`, `scripts/style_atom_router.py`, `scripts/apply_atom_composition.py`, and `scripts/workflow_atom_context.py`: dynamic corpus-atom grammar layer. Use it when a deck needs the corpus to influence structure, treatment pools, density, and narrative arc while still leaving the current/future LLM free to make topic-fit choices. Normal deck-start, design-contract, and style/content router prompts now receive a `normal_workflow_atom_context_v1` seed that can be accepted, refined through strict JSON, or skipped with a recorded reason. Apply only supported renderer fields. - `scripts/run_large_style_corpus_smoke.py`: focused fast smoke proving the large-corpus source manifest, descriptor schema, family coverage, compact context, and digest writer stay usable without network access. - `scripts/run_style_atom_router_smoke.py`: focused fast smoke proving the atom atlas, grammar templates, deterministic fallback, topic-aware ranking, strict JSON atom prompt, and applier replay ledger stay usable. - `scripts/build_large_style_corpus_contact_sheets.py`: publish-safe visual contact sheets generated from large-corpus descriptors. It draws synthetic family and source-record cards from catalog metadata only; it does not fetch, render, or screenshot source decks. - `scripts/run_large_style_corpus_leverage_smoke.py`: focused smoke proving the 2,000-record corpus is actually used by router prompts and contact-sheet evidence while preserving curated style-reference prompt tokens. - `scripts/design_catalog_selector.py`: reusable v0.5 design-catalog selection layer that maps prompts to topic cases, corpus families, treatment DNA, generated data recipes, and reproducible release-evidence scope. - `scripts/build_random_topic_comparison_decks.py`: release-evidence builder for eight random synthetic topics, each built as a baseline deck and a descriptor-corpus-guided deck across eight visibly different corpus families, plus rendered contact sheets, a gallery deck, generated data/chart/table artifacts, manifest metrics, structural-delta signatures, and concise release notes. - `scripts/run_random_topic_comparison_smoke.py`: reproducibility smoke that rebuilds the random-topic comparison evidence in a temporary directory and fails if the 16 decks, gallery, manifest, release notes, nonblank contact sheets, corpus-context metrics, eight-family coverage, three generated data examples, structural QA gates, zero visual/readability warnings, or baseline-vs-corpus structural deltas are missing. - `scripts/build_style_reference_gallery.py`: generated reference-gallery decks that turn the synthetic style catalog into actual title, dashboard, comparison, chart, table, figure, decision, and references slides without bundling external template assets. The gallery summary records per-preset variant sequences, structural playbook signatures, structural motif signatures, content-recipe signatures, renderer-treatment signatures, treatment buckets, rendered contact-sheet paths, per-treatment contact-sheet paths, per-preset contact-sheet collections for `overview`, `data_evidence`, and `decision_sources`, and QA totals for release evidence. - `scripts/run_style_reference_gallery_smoke.py`: focused fast smoke proving all-preset style-reference gallery decks keep unique content signatures, required treatment coverage, publish-safe metadata, and clean render-free QA. - `scripts/run_style_reference_resolution_smoke.py`: all-preset build-time resolver smoke proving identical generic evidence slides resolve into preset-specific `build/outline_resolved.json` variants with unique treatment signatures. - `scripts/run_style_content_router_smoke.py`: focused fast smoke proving the style/content router prompt includes ranked style-reference matches, mix-plan context, layout playbooks, content recipes, renderer treatment pools, and the optional first-class atom composition route for prompt-to-reference routing. - `scripts/run_style_reference_release_evidence_smoke.py`: optional rendered release-evidence smoke proving the all-preset gallery has clean QA, unique content signatures, visual-diversity hashes, fingerprinted contact sheets, rendered slide evidence for every required treatment key, and per-treatment rendered thumbnail and coarse-layout signatures so repeated-looking treatment families are visible and blocked in release evidence. - `scripts/run_style_reference_starter_smoke.py`: all-preset starter smoke proving initialized `style_reference_starter_outline_v1` workspaces keep distinct scaffold signatures, publish-safe source metadata, starter assets, and clean render-free QA. - `scripts/style_treatment_profiles.py`: reusable preset treatment profiles for supported heading/accent, footer, chart, and figure/table pools across all loadable presets. Profiles include a `style_reference_catalog_v1` reference so agents get more than surface-level chrome variation. - `scripts/build_header_variant_gallery.py`: visual fixture builder for checking clean content-header variants across all presets. - `scripts/run_header_variant_gallery_smoke.py`: focused fast smoke proving all presets build actual header-variant gallery decks with clean render-free QA counts. - `scripts/run_rendered_header_gallery_smoke.py`: optional slower rendered smoke proving all presets render the header-variant gallery to nonblank slide images, write a contact sheet, and pass lab-report visual review. - `scripts/run_rendered_data_delivery_smoke.py`: optional slower end-to-end smoke proving a lab/data deck carries deck-start intake, a design contract, a rendered figure/chart/table artifact triplet, strict rendered QA, visual-review contact sheet, generated-slide density floors, speed timings, repeat-build source/artifact/quality stability, and final delivery-readiness `ready` status. - `scripts/run_style_mix_repro_smoke.py`: focused fast smoke for deterministic style-mix/header/footer treatment resolution. - `scripts/run_layout_polish_handoff_smoke.py`: focused fast smoke proving saved QA whitespace/readability warnings become exact readiness and `advance_workspace.py` source-edit handoffs. - `scripts/run_readability_contract_smoke.py`: focused fast smoke proving rendered chart/table readability-contract warnings preserve measurements, slide IDs, and exact source-edit handoffs. - `scripts/trim_image_whitespace.py`: helper for generated plots with large exterior whitespace before insertion into figure-first layouts. - `scripts/compact_source_footers.py`: source-only helper that rewrites over-budget `source-line` footer provenance into short IDs and a final editable References table slide, splitting reference rows across slides when needed. - `scripts/run_source_footer_compaction_smoke.py`: focused fast smoke for preflight footer-budget warnings, readiness/advance compaction, reference slide creation, and idemp … ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [sirilsengolraj-source](https://github.com/sirilsengolraj-source) - **Source:** [sirilsengolraj-source/presentation-skill](https://github.com/sirilsengolraj-source/presentation-skill) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-sirilsengolraj-source-presentation-skill-presentation-skill - Seller: https://agentstack.voostack.com/s/sirilsengolraj-source - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. 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