Deep Ppt

Use when creating or revising research-style PowerPoint decks for lab meetings, journal clubs, defenses, weekly reports, or conferences, especially Chinese or English academic slides that need a resumable agent workflow, the deepPPT blue title system, evidence-led layouts, selective red key findings, package checks, and rendered visual review.

29 stars 3 forksProductivity & Notes

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add jiadizhunine/deepPPT --skill deep-ppt
Manual install
git clone --depth 1 https://github.com/jiadizhunine/deepPPT.git /tmp/deepPPT
mkdir -p ~/.claude/skills
cp -r /tmp/deepPPT/. ~/.claude/skills/deep-ppt

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# deepPPT

Run a durable academic presentation workflow and deliver a new editable `.pptx`
only after deterministic and rendered visual QA pass.

## Use the framework, not an improvised checklist

Resolve the directory containing this `SKILL.md` as `DEEPPPT_HOME`. Use the
repository wrapper so Codex, Claude Code, and OpenClaw call the same runtime:

```bash
<python> <DEEPPPT_HOME>/scripts/deepppt.py \
  --home <DEEPPPT_HOME> \
  --workspace <USER_WORKSPACE> \
  <command>
```

Use the workspace virtual environment when available. Every command returns
JSON. A run is one presentation task. Its state lives under
`<USER_WORKSPACE>/.deepppt/runs/<run-id>/` and can be resumed after interruption.

## Keep one planner and one canonical context

The active Codex, Claude Code, or OpenClaw Agent is the only semantic planner.
Do not start another deepPPT Agent, nested model session, or planning loop. The
framework is a deterministic runtime and artifact store, not a second reasoning
layer.

Inspect sources once, create one deck plan, and pass only the current artifact
paths and compact handoff between stages. Do not copy the host conversation,
repeat the full source text, or maintain a second private summary inside the
run. The canonical task context is:

1. `source-manifest.json` and `source-extract.md`;
2. the accepted versioned deck plan;
3. the current PPTX revision and QA/render/review reports.

Normal lifecycle commands return a compact handoff containing the stage,
Read the full skill on GitHub

Details

Skill name
deep-ppt
License
MIT
Repo updated
9 August 2026

FAQ

What does the Deep Ppt skill do?

Use when creating or revising research-style PowerPoint decks for lab meetings, journal clubs, defenses, weekly reports, or conferences, especially Chinese or English academic slides that need a resumable agent workflow, the deepPPT blue title system, evidence-led layouts, selective red key findings, package checks, and rendered visual review.

How do I install the Deep Ppt skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add jiadizhunine/deepPPT --skill deep-ppt. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Deep Ppt popular?

It lives in jiadizhunine/deepPPT, which has 29 GitHub stars and 3 forks.

Related skills

Lammps Workflows

29

chatmaterials/lammps-workflows

Use when the task involves LAMMPS atomistic simulation workflows, including input script creation, minimize, NVT, NPT, and restart setups, force-field and data-file checks, log.lammps review, restart handling, and scheduler scripts.

Productivity & Notes

Sci Select

30

keros68/sci-select

Use when a user needs SCI/SCIE/ESCI/SSCI journal-submission help: evidence-backed candidate-journal discovery from a title, abstract, keywords, or manuscript text; public-metric and risk lookup for a known journal; or a pre-submission compliance check of a draft against a chosen journal's Author Guidelines and same-journal conventions. Also for Chinese requests such as 选刊、投稿期刊推荐、期刊查询、中科院分区、投稿前检查、期刊要求核对. This skill produces candidates, evidence, checks, and uncertainty; it does not judge research quality, predict acceptance, choose a uniquely best journal, draft prose, or simulate peer review.

Productivity & Notes

Loop Engineering

29

maxmilian/loop-engineering

Design and review autonomous or semi-autonomous agent loops — systems where an agent prompts itself, runs on a schedule or event, and iterates toward a goal without a human at the keyboard. Use this whenever the user wants to build, design, harden, or audit any kind of self-running agent, agentic workflow, control loop, background worker, cron/heartbeat/webhook-driven agent, "Ralph loop", auto-PR-fixer, monitoring agent, or any long-running task that should keep going on its own until done. Trigger this even when the user says "agentic workflow", "automation that runs itself", "an agent that k

Productivity & Notes

Literature Workflow

36

hwang847/codex-paper-reader

Read and discuss local papers, find PDFs from copied titles, organize literature sources, and create discussion-based notes or scoped surveys.

Productivity & Notes

Reverse Skill Evolver

25

2233admin/reverse-skill-evolver

Route authorized reverse-engineering, cybersecurity, and CTF tasks through the bundled skills and tool workflows. Use for APK/mobile, native binaries, JavaScript signatures, captured protocols, security assessments, Forefy ASR discovery, and bounded routing evolution.

Productivity & Notes

Smart Notes

35

OnePathToFreedom/smart-notes-skill

Activate on /smart-notes, /study, or a request to keep smart study notes/flashcards in Obsidian from course material (transcripts, lectures, readings) — with topic linking, gap tracking, and adaptive flashcards.

Productivity & Notes

Browse the most popular Claude skills, all productivity & notes skills, or write your own with the skills generator.