nature-image2ppt
GitHub将幻灯片图片、截图或扫描PDF转换为高保真可编辑PPT,支持语义重建与对象还原。
Trigger Scenarios
Install
npx skills add Yuan1z0825/nature-skills --skill nature-image2ppt -g -y
SKILL.md
Frontmatter
{
"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:
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.mdandreferences/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.jsonas the only page-state source. - Treat each
pages/page_NNN/manifest.jsonas the only page-content source. - Treat
deck_manifest.jsonas 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
--outoverrides must not use.., symlinks, or absolute paths to escape it. The sole external-input exception is an explicit image-tool result supplied toimage importor asprocess-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
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
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:
python <image2ppt-root>/cli/image2ppt/cli.py run hints <run-dir>
3. Advance and claim pages
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:
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:
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:
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.
Version History
- 96e41d3 Current 2026-08-19 19:41


