Agent skill

Nature Image2ppt

by aiskillstore in aiskillstore/marketplace

Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured…

MITAuto-check passedDocuments & Office

Install Nature Image2ppt

skills CLI

$ npx skills add aiskillstore/marketplace --skill nature-image2ppt -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aiskillstore/marketplace nature-image2ppt --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/yuan1z0825/nature-image2ppt .claude/skills/nature-image2ppt && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "nature-image2ppt" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt into .claude/skills/nature-image2ppt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-image2ppt", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aiskillstore/marketplace --skill nature-image2ppt -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aiskillstore/marketplace nature-image2ppt --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/yuan1z0825/nature-image2ppt .agents/skills/nature-image2ppt && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "nature-image2ppt" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt into .agents/skills/nature-image2ppt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-image2ppt", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aiskillstore/marketplace --skill nature-image2ppt -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aiskillstore/marketplace nature-image2ppt --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/yuan1z0825/nature-image2ppt .cursor/skills/nature-image2ppt && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "nature-image2ppt" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt into .cursor/skills/nature-image2ppt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-image2ppt", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/yuan1z0825/nature-image2ppt

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aiskillstore/marketplace --skill nature-image2ppt -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aiskillstore/marketplace nature-image2ppt --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/yuan1z0825/nature-image2ppt .gemini/skills/nature-image2ppt && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "nature-image2ppt" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt into .gemini/skills/nature-image2ppt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-image2ppt", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aiskillstore/marketplace nature-image2ppt

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aiskillstore/marketplace --skill nature-image2ppt -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/yuan1z0825/nature-image2ppt .github/skills/nature-image2ppt && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "nature-image2ppt" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt into .github/skills/nature-image2ppt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-image2ppt", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aiskillstore/marketplace --skill nature-image2ppt -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aiskillstore/marketplace nature-image2ppt --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/yuan1z0825/nature-image2ppt .opencode/skills/nature-image2ppt && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "nature-image2ppt" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/yuan1z0825/nature-image2ppt into .opencode/skills/nature-image2ppt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-image2ppt", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: nature-image2ppt
GitHub stars: 433
Token cost: ~2.3k tokens
SKILL.md length: 915 words
Files: 92 (incl. scripts, references)
Skills in repo: 1,044
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured…

Works in 5 steps: Preflight and OCR choice → Prepare one run → Advance and claim pages → …
图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建
SKILL.md covers Read the local contracts…, Preserve the single source of…, Keep every write inside its… and Preserve pre-migration behavior, plus 2 more sections
Runs Python scripts from its folder; calls python; needs PADDLE_OCR_TOKEN

What it does

Nature Image2ppt is an agent skill from aiskillstore/marketplace. Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured flowcharts and knowledge graphs, native circle nodes and connectors, single-object thin and filled arrows, speaker-note preservation, and rendered QA. Use for 图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建; not for authoring a new deck from notes.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 95 other files, including scripts and reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).

It sits in Documents & Office, covering PowerPoint presentations. It works with Microsoft PowerPoint and Python. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.

When your agent uses it

图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建
Not for authoring a new deck from notes

Example prompts

“/nature-image2ppt”

Requirements

Python 3
A credential in PADDLE_OCR_TOKEN

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Preflight and OCR choice
Prepare one run
Advance and claim pages
Reconstruct and gate each page
Finalize and revalidate the rebuilt deck

What it can do on your machine

Read from SKILL.md and the folder at commit 44923f3. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- PADDLE_OCR_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nature Image2ppt loads about 2.3k tokens when it runs, and up to ~26k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 915 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~115
When it runs · the whole SKILL.md, loaded when a task matches: ~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~26k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aiskillstore/marketplace at commit 44923f3, republished under its MIT licence (© aiskillstore). 915 words, ~2,345 tokens.

Download SKILL.mdSave it as .claude/skills/nature-image2ppt/SKILL.md (or your agent's skills folder). This skill also uses 91 other files; get the full folder from GitHub.

name: nature-image2ppt
description: Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured flowcharts and knowledge graphs, native circle nodes and connectors, single-object thin and filled arrows, speaker-note preservation, and rendered QA. Use for 图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建; not for authoring a new deck from notes.

Nature Image2PPT

Use this directory as the complete runtime. Run deterministic actions only through:

bash

python <image2ppt-root>/cli/image2ppt/cli.py <command> ...

Use Python 3.10 or later with requirements.txt installed. When a dedicated environment exists, substitute <image2ppt-root>/.venv/bin/python on macOS/Linux or <image2ppt-root>/.venv/Scripts/python.exe on Windows for every python command below. Do not continue after a failed doctor; install only the reported missing dependency, then rerun it.

Do not discover or invoke another Skill, CLI, Prompt, Schema, module, or state machine.

Read the local contracts progressively

Always read references/workflow.md. Read references/runtime-dependencies.md only for setup or doctor failures, and read references/ocr-text-hints-contract.md only when choosing or troubleshooting OCR.

Before writing a page manifest, read references/page-decision-tree.md and references/manifest-schema.md. Add only the references needed by that page:

structured or compound page: references/region-decomposition.md and references/object-routing.md;
arrows: references/manifest-arrow-extension.md;
raster assets or image-backend work: references/assets-provenance-contract.md.

Before accepting or delivering output, read references/qa-contract.md.

Preserve the single source of truth

Treat page_jobs.json as the only page-state source.
Treat each pages/page_NNN/manifest.json as the only page-content source.
Treat deck_manifest.json as the final-assembly source.
Use only prepare, run next/dispatch/record/reset/hints/finalize, and the page commands in the local CLI for stateful lifecycle operations.
Keep semantic-region evidence in manifest.json.image2ppt_region_decomposition.
Never create a second job file, reconstruction plan, OCR normalizer, page controller, packager, or finalize path.
Let supplemental QA report failures; never let it mutate lifecycle state.

Keep every write inside its owner directory

Page build, validation, hints, and QA may read and write only inside that page directory. Manifest paths, recorded assets, formulas, reports, previews, and --out overrides must not use .., symlinks, or absolute paths to escape it. The sole external-input exception is an explicit image-tool result supplied to image import or as process-sheet --asset-sheet-source; it is copied into the page before becoming a build dependency.
Run-level manifests and final outputs must remain inside the prepared run directory. Finalization rebuilds into a same-directory temporary file and publishes it atomically only after a successful build.
Treat any boundary rejection as a hard failure; do not copy the rejected file back into scope and present it as runtime output.

Preserve pre-migration behavior

Treat self-containment as a path/import/entrypoint migration, not a redesign of reconstruction behavior.
Generate each worker Prompt from the complete local base layer plus the preserved Image2PPT profile layer. Do not condense, reinterpret, or replace either layer.
Prefer the previously validated visual strategy when several routes satisfy the contracts. Keep simple measured objects native and retain bounded complex assets wherever a native redraw would reduce fidelity.
Never re-author an accepted baseline page merely to prove runtime independence.

Run the workflow

Image backend selection

Use builtin-imagegen when the agent runtime exposes image_gen.imagegen; it is the preferred backend because the worker can inspect edit inputs and import the explicit local result. Use the CLI image contract only when the built-in tool is unavailable, errors, cannot read an input, or returns no valid local output. A missing optional argument such as model, mask, size, quality, or output path never authorizes fallback. Record the actual producer and permitted fallback reason in imagegen-jobs.json.

1. Preflight and OCR choice

bash

python <image2ppt-root>/cli/image2ppt/cli.py doctor --json

Use Baidu AI Studio PADDLE_OCR_TOKEN when configured. If it is absent, tell the user once that the local builtin-ink fallback measures text geometry but does not recognize characters; offer the configuration path in references/ocr-text-hints-contract.md. Respect an offline-only choice.

2. Prepare one run

bash

python <image2ppt-root>/cli/image2ppt/cli.py prepare <input...> \
  --out-root output/image2ppt --image-backend builtin-imagegen

Use --no-text-hints only when OCR processing is intentionally disabled. Regenerate hints without creating a new run when needed:

bash

python <image2ppt-root>/cli/image2ppt/cli.py run hints <run-dir>

Show full SKILL.md (359 more words)Show less

3. Advance and claim pages

bash

python <image2ppt-root>/cli/image2ppt/cli.py run next <run-dir> --json
python <image2ppt-root>/scripts/build_page_worker_prompt.py \
  <run-dir> --page <page-id> --out <absolute-page-dir>/worker-prompt.md
python <image2ppt-root>/cli/image2ppt/cli.py run dispatch \
  <run-dir> --page <page-id> --agent-id <id> --prompt-file <absolute-prompt>

For exactly one page, claim it with --local and reconstruct it in the current agent. For multiple pages, dispatch independent page workers up to the capacity in page_jobs.json. Do not reset a live worker merely because it is slow.

4. Reconstruct and gate each page

Plan a structured page as 3–5 semantic regions and route each region independently. Use measured compound diagrams: measure every node, relation, and protected anchor. Keep measurable circles, cards, straight/dashed relations, and simple connectors native. Use bounded transparent assets only for complex local subparts.

Represent a thin arrow as one connector with its arrowhead on the same object. Represent a filled arrow as one Arrow AutoShape, with centered label text inside the same object. Never construct an ordinary arrow from a line plus triangle and never flatten a whole knowledge graph into one image.

Write new page manifests with schema_version: 2. Use structured visual_inventory items with explicit kind and representation values, and write a concrete quality_evidence observation for every required quality check. Formula rendering is a hard gate: a missing engine, converter, or failed compile must keep the page failed unless the user explicitly approves that exact formula exception and the manifest records both user_approved_exception: true and a concrete approval_note.

The worker Prompt performs the deterministic sequence. Its final gates are:

bash

python <image2ppt-root>/cli/image2ppt/cli.py page build <page-dir>
python <image2ppt-root>/scripts/run_image2ppt_qa.py <page-dir>
# The first run writes visual-review-evidence.template.json and remains pending.
# Inspect source.png against render/rendered.png, copy and complete the template
# as visual-review-evidence.json, repair if needed, then:
python <image2ppt-root>/scripts/run_image2ppt_qa.py <page-dir> \
  --visual-review-status reviewed \
  --visual-review-evidence <page-dir>/visual-review-evidence.json
python <image2ppt-root>/cli/image2ppt/cli.py page contact-sheet <page-dir>

The evidence file must cover the current source/render hashes and every required check with a specific observation. --visual-review-notes is optional context and cannot substitute for the evidence file.

Record only after standard validation and the Image2PPT region, arrow, and rendered gates pass:

bash

python <image2ppt-root>/cli/image2ppt/cli.py run record \
  <run-dir> --page <page-id> --agent-id <id>

Use the same run reset → dispatch → record lifecycle to repair rejected pages.

5. Finalize and revalidate the rebuilt deck

When run next reports finalize, run:

bash

python <image2ppt-root>/cli/image2ppt/cli.py run finalize <run-dir>
python <image2ppt-root>/scripts/run_final_image2ppt_qa.py <run-dir>
# The first run writes final/visual-review-evidence.template.json and remains pending.
# Inspect every rendered slide, complete final/visual-review-evidence.json, then:
python <image2ppt-root>/scripts/run_final_image2ppt_qa.py <run-dir> \
  --visual-review-status reviewed \
  --visual-review-evidence <run-dir>/final/visual-review-evidence.json

Finalize rebuilds from page manifests, preserves source speaker notes, validates the package, and writes the output recorded by deck_manifest.json. Final QA reapplies manifest arrows, verifies arrow atomicity and compound structure, renders every slide, checks speaker-note integrity, and writes final/image2ppt_qa.json.

Deliver

Return the final PPTX path, standard final validation, and final/image2ppt_qa.json. Report which complex visuals remain replaceable bitmap assets. Do not call the deck complete while any page/final gate is pending or failed.

Files

SKILL.md and 91 other files (scripts, references) in skills/yuan1z0825/nature-image2ppt of aiskillstore/marketplace.

SKILL.md
.gitignore
LICENSE
README.md
README_EN.md
agents/openai.yaml
cli/image2ppt/__init__.py
cli/image2ppt/cli.py
cli/image2ppt/runtime/__init__.py
cli/image2ppt/runtime/_input_normalization.py
cli/image2ppt/runtime/_page_artifacts.py
cli/image2ppt/runtime/build_pptx_from_manifest.py
cli/image2ppt/runtime/configure_image_backend.py
cli/image2ppt/runtime/deck_run_state.py
cli/image2ppt/runtime/deck_text_hints.py
cli/image2ppt/runtime/finalize_deck_run.py
cli/image2ppt/runtime/formula_renderer.py
… and 75 more

Open the folder on GitHubat commit 44923f3

Compare with similar skills

Nature Image2ppt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nature Image2ppt compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Nature Image2ppt this skillaiskillstore/marketplace	433	—	~2.3k	Automated safety check: Pass	MIT	today
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PPTXAgentTeam-TaichuAI/ScienceClaw	671	—	~2.5k	Automated safety check: Pass	Proprietary	5 mo ago
Drawai PptRenaissance-Mind/DrawAI	146	—	~1.1k	Automated safety check: Pass	Apache-2.0	today
Native Enhance PPTXbyungjunjang/slide-master	280	—	~330	Automated safety check: Pass	MIT	10 days ago
Office To Mdshuyu-labs/WebCode	278	—	~1k	Automated safety check: Notes	Custom licence	3 mo ago

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Questions about Nature Image2ppt

What does Nature Image2ppt do?

Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured…. Nature Image2ppt is an agent skill from aiskillstore/marketplace. Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured flowcharts and knowledge graphs, native circle nodes and connectors, single-object thin and filled arrows, speaker-note preservation, and rendered QA.

When should I use Nature Image2ppt?

Nature Image2ppt fits situations like: 图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建; not for authoring a new deck from notes.

How do I install Nature Image2ppt in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill nature-image2ppt -a claude-code`. Or copy the skill folder (skills/yuan1z0825/nature-image2ppt in aiskillstore/marketplace) into .claude/skills/nature-image2ppt in your project. Claude Code loads it when a task matches its description.

How do I install Nature Image2ppt in Codex?

Run `npx skills add aiskillstore/marketplace --skill nature-image2ppt -a codex`. Or copy the skill folder (skills/yuan1z0825/nature-image2ppt in aiskillstore/marketplace) into .agents/skills/nature-image2ppt in your project. Codex loads it when a task matches its description.

Can I use Nature Image2ppt in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill nature-image2ppt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-image2ppt, .gemini/skills/nature-image2ppt, .github/skills/nature-image2ppt and .opencode/skills/nature-image2ppt in your project.

What does Nature Image2ppt need to run?

Going by SKILL.md and its folder, Nature Image2ppt needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named PADDLE_OCR_TOKEN. Our summary lists: Python 3; A credential in PADDLE_OCR_TOKEN.

Does Nature Image2ppt access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nature Image2ppt safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Nature Image2ppt use?

Nature Image2ppt is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nature Image2ppt use?

About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 23k tokens, read only when the agent opens those files.

What are the alternatives to Nature Image2ppt?

Skills that share tags, products or a category with Nature Image2ppt: PowerPoint Reader and Builder (TokenRhythm/opensquilla, 7.1k stars), PPTX (AgentTeam-TaichuAI/ScienceClaw, 671 stars), Drawai Ppt (Renaissance-Mind/DrawAI, 146 stars) and Native Enhance PPTX (byungjunjang/slide-master, 280 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Image2ppt?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Nature Image2ppt

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Nature Image2PPT

Read the local contracts progressively

Preserve the single source of truth

Keep every write inside its owner directory

Preserve pre-migration behavior

Run the workflow

Image backend selection

1. Preflight and OCR choice

2. Prepare one run

3. Advance and claim pages

4. Reconstruct and gate each page

5. Finalize and revalidate the rebuilt deck

Deliver

Files

Compare with similar skills

Similar skills

More from aiskillstore/marketplace

Related

Questions about Nature Image2ppt