Courses

Animated single-file HTML deck, exportable to PDF or converted from PPT

Multi-sheet .xlsx with live formulas, charts and pivots

.docx with tracked changes / redlining, or long-form Markdown

A natively editable .pptx — every text box, shape and chart is a real PowerPoint object, clickable and editable in PowerPoint, Keynote or WPS. Not images packed into slides.

A Nature-style submission bundle — redlined .docx manuscript, vector figure (SVG/PNG), defense .pptx and a point-by-point peer-review response letter, with citations auto-pulled from PubMed / CrossRef / arXiv.

Paste an arxiv URL and get back a runnable Python repo — every block of code carries a §section / Eq.N anchor; unspecified hyperparameters are flagged inline, with an ambiguity audit and a walkthrough notebook alongside.

High-res image sets (covers, OG images, illustrations)

You'll walk away with your own branded DESIGN.md, and you'll be able to ask any mainstream coding agent to generate two structurally different but visually on-brand pages (landing + detail) in a single session — colors, typography, radii, and button styles unmistakably belonging to the same brand.

Write architecture, sequence, and ER diagrams as plain text, render them locally to versionable SVG/PNG, and export an editable .excalidraw of the architecture flow.

Describe a concept, formula, or algorithm in a few lines of Python and render it locally into a 3Blue1Brown-style, step-by-step explainer animation .mp4 (1080p) — ready to post anywhere.

3-5 captioned vertical .mp4 clips with a unified cover

Multi-source montage .mp4 with BGM ducking, B-roll, burned subs

Studio-grade 44.1 kHz mono .wav voiceover (31 languages, inline <laugh>/<breath> tags)

A PDF or long article becomes a 12-minute two-host MP3 podcast with a speaker/timing dialogue script and a 1:1 cover — all generated on your machine, files yours to publish

One text prompt → a complete original song or BGM generated locally (melody, harmony, arrangement, optional vocals & lyrics), exported as a royalty-free 48 kHz .wav you own

Write a <MyVideo> component in React + TypeScript and render it locally with Remotion + ffmpeg into a real 1080p / 30fps .mp4 — swap props to change brand, data, or copy, generate dozens of variants from one codebase, ready for socials, product pages, and internal updates.

1-10 panel cartoon-style grid + copy + tags

Write one responsive HTML email with semantic tags that renders cleanly in Gmail, Outlook, and Apple Mail; compile it locally to a send-ready .html, with real desktop + mobile render previews.

Rewrite an AI-drafted marketing email, RED post, or internal comms so it reads like a person wrote it — with a real before/after report scored by two public AI detectors.

Message, docs, sheets, base, calendar, mail — all inside Lark

A working SKILL.md pack you can install in Claude Code, trigger on the right prompt, and publish to GitHub as a portfolio piece

Print-grade typeset PDF — conference papers, research posters and finely set booklets, with LaTeX-quality typography from reproducible plain-text markup

Turn messy PDFs, scans, papers, contracts and Office files into clean Markdown and structured JSON — LaTeX math preserved, tables rebuilt, figures extracted — ready for notes, RAG, or further editing.

Turn a real-world pile of .docx / .xlsx / .pptx / .epub / .html / .zip / simple .pdf files into clean, repo-checkable, RAG-ready Markdown in one command — batch in, batch out, one .md per input file. Fully local and free.

Add an invisible OCR text layer to scanned / photographed / image-only PDFs — the original layout stays exactly the same, but the file is now Cmd-F searchable, copy-pasteable, and indexable by Spotlight and full-text engines. Fully local, offline, free.

Translate an English PDF into a bilingual PDF that keeps the original layout (English on one page, same-layout Chinese on the next) plus a Chinese-only variant — figures, tables and math stay put, columns stay aligned, both files Cmd-F-searchable in Chinese. Default engine is a local Ollama backend; zero commercial API key.

Treat a 5 GB / 50 GB CSV / Parquet / JSON / Excel file as a database and query it directly — datasets that crash Excel or OOM pandas finish in seconds on DuckDB, running on your laptop. One SQL line gets you a result table, one more `COPY ... TO 'out.parquet'` writes a columnar export, a few more lines draw a matplotlib / Plotly chart. Fully local, offline, free.

A shareable HTML security report (overall score + S/A/B/F grade + six risk dimensions + fixes), plus a live local guard that blocks dangerous commands and credential theft on your AI agent. Before installing any third-party skill / plugin / MCP, statically scan it with 24 rules for backdoors, secret theft, exfiltration and Web3 wallet drains.

Remove any image's background locally in one command — get a transparent PNG, a clean white-background product shot, and swap the subject onto a solid / gradient / brand background. Free, fully local.

Split any song into stems locally in one command — karaoke instrumental, isolated acapella vocals, drums / bass / other — exported as downloadable .wav for covers, remixing, sampling and BGM removal. Free, fully local, MIT-licensed commercial-safe model.

Turn any piece of audio or video (mp3 / wav / m4a / mp4 / mov or a yt-dlp link) into downloadable .srt + .vtt captions, a bilingual transcript.html, and optionally a burned-in .mp4 — local faster-whisper transcription + argostranslate offline translation + ffmpeg burn-in, free and fully offline.

One command turns your repo into a 100% local SQLite symbol graph wired into Claude Code / Cursor / Codex over MCP. Finding entry points, callers, and impact collapses from grepping 20 files to one tool call — and you walk away with a shareable before/after report where tool calls, context tokens, and turn time all drop measurably.

Write your first MCP server with the official @modelcontextprotocol/sdk, plug it into Claude Desktop / Claude Code / Cursor / Cline / Windsurf, and watch the AI assistant call into your own tools, scripts, or local data — your code, one JSON config block, one real tool call.

In five minutes, run open chat models like Qwen / DeepSeek / Gemma / Llama on your own laptop, and turn a folder of private notes / PDFs into a fully offline “private RAG assistant” backed by SQLite + nomic-embed — documents never leave your machine, no API keys, no cloud calls.

Turn a domain, a sitemap, or up to 50 web URLs per batch into an indexed, full-text-searchable Markdown knowledge base — one `.md` per page with frontmatter, plus a self-contained static reader (left-rail TOC, body, top-bar search) you open in any browser. Ready to feed an agent's context, build a RAG, or draft topic posts. Browser rendering happens server-side; locally you only need Node ≥ 18 and one SDK call.

Turn any casual selfie into spec-compliant ID photos in one line — auto-matting + background swap + official sizing (China 1-inch / 2-inch, US visa 2×2, passport, etc.) + a ready-to-print 6-inch layout sheet. Powered by Clawvard SDK, zero third-party keys.

Sweep a messy folder of mixed-format files (PPT, Excel, Word, PDF, images, audio, ZIPs, emails) into a RAG-ready Markdown corpus in one command — one .md per source file with provenance frontmatter, a merged corpus.md, a browsable index.html preview, and a packaged corpus.zip. Fully local, zero commercial API key, zero cloud.

Turn a PDF textbook or Markdown notes into an .apkg Anki deck — front/back Q/A, optional cloze, chapter-level tags, subdeck per topic. Imports cleanly into Anki Desktop, AnkiDroid, AnkiWeb.

Drop a folder of mixed customer data (TXT / CSV / PDF / images) and get back a redacted/ folder with identical layout — names, emails, phones, ID numbers, credit cards and addresses replaced with stable placeholders, plus a side-by-side diff.html and an auditable report.json. Fully local, zero LLM, zero external key. The compliance gate to run before feeding AI, outsourcing, or sharing with research partners.

Compress the tool outputs, logs, grep dumps, long docs, and RAG chunks you're about to feed your agent by 60–95% before they ever reach the LLM, and ship a single-file `headroom-savings.html` before/after report — tokens before / tokens after / % saved / estimated $ saved at current input prices (formula printed in the report) / side-by-side excerpts / anchors back to the original chunk. After one pip install + one HF public-model warmup, every compress runs locally — zero commercial API key, zero remote LLM, zero vendor lock-in.

Give your coding agent a real browser — log in, click, fill forms, scroll, scrape across pages. One natural-language task produces a step-by-step run.json, one Chromium screenshot per step, and the final extracted JSON / downloaded files.

Two locally produced studio-grade voice assets — a brand-new character voice designed from one natural-language prompt and a cloned voice built from a 10-second reference clip — exported as 48 kHz .wav with 30-language and emotion/speed control, fully offline and free.

Upscale one image or a whole folder of blurry, low-res, over-compressed photos to a crisp 2x / 4x locally — product shots, scanned old photos and social-media screenshots alike — ready to drop straight into a product page, social post, print job or client deliverable. Free, fully local, runs on CPU.

Erase watermarks, photobombers, old logos or burned-in subtitles from any image locally with one brush stroke — the subject stays, the background texture fills back in. Ship a clean output, a reusable binary mask and a clear before/after; batch-erase a full video the same way. Free, fully local, offline.

Point your coding agent at any public URL — it drives a real local Chrome, runs Lighthouse, captures a performance trace and the full network HAR, and ships a one-page audit with screenshots and a plain-English verdict.

Hand your agent one topic — a keyword, a brand, an OSS project — and it sweeps the open web through zero-key channels in parallel, landing a section-per-channel Markdown digest plus a single shareable HTML preview, with title, summary, source URL, platform badge, and fetched-at timestamp on every entry.

Add cross-session, cross-process long-term memory to your AI agent — preferences and facts the user mentioned in past sessions are auto-recalled and injected into the next prompt, strictly scoped by user_id, persisted to a local Chroma + SQLite store, surviving any process restart. The whole stack only talks to 本地 Ollama 端口 — no commercial API keys, no cloud.

Drop a UI screenshot or Figma export to your coding agent — it writes a single-file HTML + Tailwind page that pixel-aligns to the source, renders the same HTML in a real local Chromium at the same viewport, captures a replica screenshot, and lands a side-by-side before-after pair plus a ready-to-open index.html.

Turn any local source-code project into a ready-to-file China NCAC software-copyright application pack — 4 spec-compliant .docx files (user manual + first-30 / last-30 pages of source) plus a pre-filled application-form.txt, ready to print or upload, saving 500–2000 RMB in agency fees.

Hand any Git diff (workspace, branch range, a single commit, or a public PR) to `ocr` — it runs Alibaba's battle-tested AI code-review agent locally, deterministically bundles files into per-file sub-agents, and lands a Markdown report with line-anchored comments plus the same facts as machine-readable JSON, ready to paste into a PR review or pipe into CI.

Upload an NDA, vendor MSA, or DPA and your agent returns a GREEN/YELLOW/RED triage report plus a clause-level redline memo flagging every deviation from your playbook — downloadable as .md and .docx, so the 'first pass' lands in under thirty minutes.

Turn the markdown draft, product copy or CSV you already have into three platform-ready outputs in one local pass on your own machine: a magazine-style article you can paste into WeChat, a 1080×1440 cover card PNG you can ship to Xiaohongshu, and a data report you can drop into newsletter / weekly groups — all driven by the coding agent you are already logged in to.

Turn any video into two artifacts in one local pass: an annotated .mp4 with bounding boxes / trails / counters drawn over people, vehicles or objects, plus a structured analysis.json (zone counts / trajectories / dwell time / speed). No paid API key — model weights download locally on first run.

Turn one sentence or one SVG into a set of production-grade Lottie vector animations — loader, brand entrance, button success, logo reveal — that your IDE agent writes locally and that drop into Web / React Native / iOS / Android / Flutter with one line of code, rendering crisp at any resolution.

Sweep your machine's local Claude Code / Codex / Cursor / OpenCode and 25+ other AI-coding session files, and ship a one-month cost report with a daily bar chart, model side-by-side, the five most expensive sessions, and a paste-ready waste-cleanup list — exported as JSON, CSV, and a single shareable HTML page for the boss.