Repository profile

SenseNova-Skills

Review Skills in OpenSenseNova/SenseNova-Skills, with license, maintenance context, and source paths.

Skills
8
Repository stars
4,855
Identity status
Source-linked

Provenance

Source and identity

Source-linked
Profile type
Repository
Canonical name
SenseNova-Skills
Public sources
1
License context
MIT

Source entries

Agent Skills from SenseNova-Skills

Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.

Computed 834,855

OpenSenseNova/SenseNova-Skills

sn-da-excel-workflow

Use it for data analysis and operations tasks; the detail page covers purpose, installation, and practical steps.

Computed 894,855

OpenSenseNova/SenseNova-Skills

sn-image-imitate

Use it for engineering and operations tasks; the detail page covers purpose, installation, and practical steps.

Computed 864,855

OpenSenseNova/SenseNova-Skills

sn-image-resume

Use it for engineering and design tasks; the detail page covers purpose, installation, and practical steps.

Computed 884,855

OpenSenseNova/SenseNova-Skills

sn-infographic

Use it for engineering and design tasks; the detail page covers purpose, installation, and practical steps.

Computed 874,855

OpenSenseNova/SenseNova-Skills

sn-ppt-creative

Creative-mode PPT pipeline. One full-page 16:9 PNG per slide. LLM / VLM calls go through sn-ppt-standard/lib/model_client.py (shared thin client). Text-to-image (the actual png rendering) goes through sn-image-base/scripts/sn_agent_runner.py. Falls back to web image search when T2I generation fails. Expects task_pack.json + info_pack.json already written by sn-ppt-entry.

Computed 864,855

OpenSenseNova/SenseNova-Skills

sn-ppt-entry

Entry point for PPT generation. Asks the user to choose a mode (fast, standard, or creative), then collects role / audience / scene / page_count as needed. For standard mode, also asks how images should be sourced (AI generation, web search, or none), whether charts should use AI-generated infographics or ECharts, and whether the final deliverable should be PPTX or PDF. Parses uploaded pdf/docx/md/txt files, produces task_pack.json + info_pack.json in a new deck_dir, then dispatches to sn-ppt-cr

Computed 914,855

OpenSenseNova/SenseNova-Skills

sn-ppt-standard

Standard and fast PPT pipeline. All LLM / VLM / T2I calls are wrapped in a single CLI entry (scripts/run_stage.py). The main agent's job is simple: emit ONE shell command per stage, never write loops, never write prompts. Standard mode plans thoroughly with a three-sample deck preview checkpoint (three concatenated deck images plus a preview URL), web research, image search, and user-selected final output format (PPTX or PDF) for polished, delivery-ready presentations. Fast mode builds a complet

Computed 914,855

OpenSenseNova/SenseNova-Skills

sn-ppt-workbench

Open the AI PPT editing WebUI for previously generated SenseNova HTML slides. Use when the user asks to preview, inspect, edit, or open an existing/generated PPT deck in the WebUI/workbench without regenerating slides. Accepts an explicit deck_dir or auto-detects the newest local ppt_decks entry containing HTML pages. Does not run style/outline/page-html/export generation.

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