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A curated collection of production-ready Agent Skills for Claude Code, Cursor, Codex, and other AI coding agents.

motion-showreel _{Code-rendered short video}	web-video-presentation _{Web video / presentation}
web-design-engineer _{Design / frontend}	gpt-image-2 _{Image generation / prompting}
beautiful-article _{Any source → beautiful article}	kb-retriever _{Local knowledge retrieval}

English · 中文文档 · 日本語

motion-showreel delivers MP4 plus editable source. It confirms the topic, duration, orientation, independent music/SFX sources and narration mode, then writes a brief and confirms style frames. Deterministic render(t) pages are captured frame by frame on a shared audio/picture timeline. Narration follows a user-supplied script or recording; pictures follow actual speech timings. Long films use persistent chapter caches and technical acceptance.

Highlights:

Deterministic render(t) pipeline: stills, contact sheets, three-direction boards, proxies and masters all come from the same page. Motion blur, supersampling and film grain are render flags.
One timeline for picture and sound: cuts, hits and SFX share the same numbers. Music can be synthesized (a zero-dependency built-in synth, or Tone.js with a sampled piano), or cut to the user's own track with beat and drop detection.
A 43-style library as a starting point: swiss-editorial, ink-wash, risograph, synthwave, soft 3D, cinematic title, pixel game, comic panels, guochao patterns, painterly strokes, whiteboard explainers, concept morphs, illuminated manuscripts and more. Each style defines its look, motion, camera grammar and sound palette, and can be adapted, mixed or replaced with your own.
A sound direction, not a default song: the brief sets a sound benchmark, groove, harmony, palette and dramatic arc, plus a list of audio defaults to avoid.
Two checkpoints: confirm requirements, then style frames (three distinct directions when unspecified), followed by autonomous production. Creative freedom remains available.
Narration and long films: Gemini/MiniMax TTS reads only user-supplied scripts; recordings use real timestamps. Music and SFX have independent sources, yield to speech, and chapter builds support up to 20 minutes.
Technical acceptance kept separate from taste: size, fps, duration, frame count, black frames, loudness, true peak, loop seam and determinism must all PASS. Review notes go to the user, who makes the final call.

_{synthwave-neon
album title} _{soft-3d-toy
chain reaction} _{stick ink
game trailer} _{cinematic-title
film opening}

_{↑ 4-second excerpts of pieces made with the skill. Open the showcase for the full set, including the skill's own 80-second trailer and the style gallery.}

Links: README · SKILL.md · Download v0.1.0 .zip

`web-video-presentation`

Category: Web Video / Presentation Engineering
Best for: turning scripts, articles, lessons, product demos, and talks into click-driven 16:9 web presentations that can be screen-recorded as cinematic videos.

web-video-presentation builds record-ready Vite + React + TypeScript presentations that behave like video production surfaces. The workflow turns raw articles into narration scripts, maps script beats to full-screen scenes, pauses at required checkpoints, and can optionally synthesize narration audio after the visual outline is approved.

Highlights:

Fixed 1920×1080 stage that scales to the viewport for stable screen recording
Click / keyboard driven (chapter, step) cursor, with one narration beat per visual step
Hard collaboration checkpoints for script, theme, outline, implementation mode, and optional audio
Hidden hover-only progress controls so the stage stays clean while recording
Theme-token architecture with 23 built-in themes, each with its own design signature — editorial, terminal, engineering, Swiss International, and more
Pluggable TTS — provider-agnostic audio runner; ships two built-in providers (MiniMax mmx-cli + OpenAI TTS via curl) plus a contract + ready-to-paste snippets for ElevenLabs / edge-tts / Azure / Google Cloud / macOS say
Scaffolded Vite + React + TypeScript project with reusable stage primitives and recording guidance

_{creative-voltage
creative talks} _{blueprint
tech architecture} _{swiss-ikb
data reports} _{chalk-garden
popular science}

_{↑ All 23 themes at a glance — open the full gallery for live 16:9 previews, design signatures, and best-for tags.}

Links: README · SKILL.md · Download v1.2.2 .zip

`web-design-engineer`

Category: Design / Frontend
Best for: web pages, landing pages, dashboards, interactive prototypes, HTML slide decks, animations, UI mockups, data visualizations, and design-system explorations.

web-design-engineer turns AI-generated web artifacts from merely functional into polished, deliberate, and visually memorable front-end work. It treats the agent as a design engineer: first understanding product context, then declaring a design system, showing an early v0, building the full experience, and verifying the result.

Highlights:

Converts the brief into a five-dial Design Read covering variance, motion, density, asset dependence, and brand fidelity
Distinguishes extension, preserve, and overhaul redesign modes before changing an existing product
Runs executable browser acceptance only when the user explicitly requests acceptance, QA, or browser testing
Pushes beyond generic AI UI patterns with an anti-cliché blocklist and stronger visual judgment
Ships a Design Direction Advisor (six differentiated schools) + 25 anchored style recipes (Linear / Aesop / Pentagram / Bloomberg / Stripe Press / Mid-Century, etc.) — each recipe carries concrete palette, typography, signature moves, and anti-patterns ready to paste into the design-system declaration
Covers HTML / CSS / JavaScript / React prototypes, with guidance for responsive layout, motion, and interaction polish
Includes practical implementation rules for inline React + Babel, CSS tokens, oklch() color work, container queries, and reduced-motion handling
Ships an advanced patterns reference for device frames, slide engines, animation timelines, dashboards, and other reusable web artifacts

_{aesop apothecary pages}	_{muji-kenya-hara object catalogues}	_{monocle-magazine magazine contents}	_{stripe-press book detail}
_{bloomberg-terminal trading dashboards}	_{linear dev tool landing}	_{vercel-mesh deploy hero}	_{tufte-dataink data narratives}
_{mid-century-modern poster homage}	_{y2k-retrofuturism Y2K portal}	_{businessweek-turley editorial covers}	_{active-theory cinematic launch}

_{↑ 12 of 25 anchored recipes — open the full gallery for all 25 working artefacts (apothecary pages, trading workstations, magazine covers, Y2K portals, mid-century posters …) with signature moves and best-for tags.}

Links: README · SKILL.md · Website · Demo · Download v1.3.0 .zip

`gpt-image-2`

Category: Image Generation / Prompt Engineering
Best for: posters, UI mockups, product visuals, infographics, academic figures, technical diagrams, comics, avatars, storyboards, branding boards, and image-editing workflows.

gpt-image-2 is a focused image-generation skill for GPT Image 2 and OpenAI-compatible image APIs. It is designed to work across different agent environments: fully local Garden generation, host-native image-tool delegation, or prompt-only advisor mode when no image tool is available.

Highlights:

Supports three runtime modes: Mode A Garden local, Mode B host-native delegation, and Mode C advisor-only prompt writing
Starts every task with mode detection so the skill does not silently choose the wrong execution path
Provides 18 visual categories and 79 structured prompt templates under references/
Covers both image generation and image editing through dedicated workflows and scripts
Saves prompts and generated images under garden-gpt-image-2/ in Garden mode for reuse, review, and versioning

Selected live cases

`background-replacement` _{Portrait edit with Times Square relighting.}	`chat-interface-scene` _{Claude-style assistant product screenshot.}	`live-commerce-ui` _{Celebrity livestream commerce interface.}	`product-card-overlay` _{Skincare landing-page hero.}
`bento-grid-infographic` _{High-density iPhone 16 Pro explainer.}	`system-architecture` _{Multi-tenant AI SaaS production diagram.}	`dense-explainer-slides` _{AI Agent mechanism in one page.}	`food-map` _{City-walk editorial food guide.}
`exploded-view-poster` _{Vision Pro 2 optical and compute teardown.}	`neural-network-architecture` _{ViT-B/16 model figure for papers.}	`cosmetic-packaging` _{Premium skincare gift-box composition.}	`anime-key-visual` _{Game-launch key art with crop-safe layout.}

_{↑ 12 selected cases from the 160+ public case library — open the skill gallery for more templates, or browse the live website.}

Links: README · SKILL.md · Website · Download v1.0.4 .zip

`beautiful-article`

Category: Editorial · Any source → beautiful article
Best for: turning URLs, PDFs, DOCX, Markdown, plain text, screenshots, and pasted notes into a polished, share-ready article — long-form, briefings, explainers, tutorials, post-mortems, visual essays, dialogue transcripts.

beautiful-article is an editorial harness skill: it does not just "make a webpage", it edits and designs the source material into a polished article that is easier to read, share, and archive than the original. The skill flows through a small source → plan → double-confirmation → build → final review → repair loop and pauses at three hard checkpoints so the user keeps editorial control over article type, theme, layout, image strategy, cover, and delivery format.

Highlights:

Article first — the focus is the article: better reading, better pacing, better aesthetics. Delivery is a self-contained file (HTML, optional PDF), but that's a delivery detail, not the goal
Reacticle component protocol — prose-first semantic components (Hero / Lead / Section / Quote / Callout / Image / Formula / CodeBlock / Table…) plus a theme-token-only Raw free layer; the underlying React library lives at ConardLi/reacticle
10 article types with bundled retention ratios — longform · ~100% / tutorial · ~90% / full-report · ~80% / explainer · ~80% / dialogue · ~80% / review · ~70% / essay · ~70% / briefing · ~50% / visual-essay · ~40% / interactive-explainer · ~25% excerpt + 75% AI-rebuild
11 authoring theme profiles (tufte, press, bayer, bodoni, vignelli, sottsass, freddie, andy, fuller, knuth, shannon) — each is a Markdown contract for the agent rather than a CSS file
Hard collaboration checkpoints with item-by-item decision capture (no silent defaults), plus a 3:4 book-style cover, default-on TOC, and language-aware translation step
Per-node quality protocol — main-agent inline checks for plan, sub-agent reviewers for first spread / sections / final review, repair as minimal slices

Theme gallery

_tufte	_press	_bayer	_bodoni
_vignelli	_sottsass	_freddie	_andy

Links: README · SKILL.md · Download v0.1.0 .zip

`kb-retriever`

Category: Retrieval / Local Knowledge Base
Best for: answering questions from a local knowledge/ directory, searching structured documentation, and extracting evidence from Markdown, text, PDF, and Excel files without flooding the agent context.

kb-retriever is a local knowledge-base retriever built around careful, progressive search. Instead of loading whole files, it navigates hierarchical index files, narrows the candidate set, processes complex file types correctly, and answers with sources.

Highlights:

Uses layered data_structure.md files to navigate the knowledge base before searching content
Enforces a learn-before-process rule for PDF and Excel files, using the included reference docs before extraction or analysis
Combines precise keyword search, local windowed reads, synonyms, and iterative refinement
Bounds retrieval to at most 5 search rounds so exploration stays controlled
Includes workflows for grep, pdftotext, pdfplumber, and pandas, with source-aware answer formatting

Links: README · SKILL.md · Download v1.0.1 .zip

Install

There are five supported install paths. Pick the one that fits your stack:

#	Method	Best for	Pinned version?
A	`skills` CLI (`npx skills add`)	Any agent, one-line install, pick & choose skills	✅ via tag URL
B	Claude Code plugin marketplace	Claude Code users who want to subscribe to plugin packs	✅ via marketplace version
C	Pinned `.zip` from GitHub Releases	CI / air-gapped envs / reproducible installs	✅ ✅ (immutable)
D	Manual copy after `git clone`	Local hacking on the skill itself	❌ (tracks `main`)
E	Git submodule	Vendored into a larger project, want upstream updates	✅ via submodule SHA

Each skill section above also has a Download v<version> .zip link in its "Links:" row that points at the current pinned release artifact. Those URLs are auto-rewritten by scripts/release/update-readme.mjs on every release, so they always advertise the latest immutable version.

Option A · `skills` CLI (npx)

The fastest agent-agnostic path. Uses the standard npx skills CLI, which auto-detects your agent (Claude Code, Cursor, Codex, etc.) and drops the skill into the right directory.

# Install every skill in the collection (latest) npx skills add ConardLi/garden-skills # Install just one skill (latest) npx skills add ConardLi/garden-skills -s web-design-engineer # Install globally (~/.skills) instead of per-project (./.skills) npx skills add ConardLi/garden-skills -s gpt-image-2 --global # Target a specific agent npx skills add ConardLi/garden-skills -s kb-retriever -a claude-code

Defaults to the latest commit on main. That's what you want 95% of the time — the CLI tracks each skill's most recent published SKILL.md straight from the source tree.

Want a pinned version? (CI / production) Use a tag-scoped tree/ URL — this points at the exact commit a release was cut from:

# Pin one skill to a specific release npx skills add ConardLi/garden-skills/tree/web-design-engineer-v1.0.0/skills/web-design-engineer

For each skill, the current pinned .zip URL is also shown inline in its "Links:" row above (the Download v<version> .zip link).

Useful sub-commands:

npx skills list # what's installed npx skills find web-design # search registries npx skills update # bump everything npx skills remove kb-retriever # uninstall

Option B · Claude Code plugin marketplace

If you use Claude Code, you can subscribe to the marketplace and install plugin packs that bundle one or more skills together:

/plugin marketplace add ConardLi/garden-skills /plugin install presentation-skills@garden-skills /plugin install web-design-skills@garden-skills /plugin install knowledge-base-skills@garden-skills /plugin install image-generation-skills@garden-skills /plugin install motion-showreel-skills@garden-skills /plugin install beautiful-article-skills@garden-skills

Plugin packs are declared in .claude-plugin/marketplace.json:

Plugin pack	Skills included
`presentation-skills`	`web-video-presentation`
`web-design-skills`	`web-design-engineer`
`knowledge-base-skills`	`kb-retriever`
`image-generation-skills`	`gpt-image-2`
`motion-showreel-skills`	`motion-showreel`
`beautiful-article-skills`	`beautiful-article`

Option C · Pinned `.zip` from Releases

Every formal release publishes an immutable .zip (with a SHA-256 checksum) to GitHub Releases. Pin to this from CI, Dockerfiles, or air-gapped installers when you need the exact bytes to never move under you.

# Replace <skill> and <version> with the version you want. SKILL=web-design-engineer VERSION=1.0.0 curl -fsSL -o "${SKILL}.zip" \ "https://github.com/ConardLi/garden-skills/releases/download/${SKILL}-v${VERSION}/${SKILL}-${VERSION}.zip"# Verify the checksum (highly recommended for unattended installs) curl -fsSL -o "${SKILL}.zip.sha256" \ "https://github.com/ConardLi/garden-skills/releases/download/${SKILL}-v${VERSION}/${SKILL}-${VERSION}.zip.sha256" shasum -a 256 -c "${SKILL}.zip.sha256"# Drop the folder into the agent's skills directory unzip -q "${SKILL}.zip" -d .claude/skills/ # or .agents/skills/, .codex/skills/, ...

A floating "always-latest" URL is also available — useful for one-off installs:

https://github.com/ConardLi/garden-skills/releases/latest/download/<skill>-<version>.zip

Pinned URLs for every skill are listed inline in this README — see the "Download" line under each skill's "Links" entry above. They are kept in sync automatically by the release pipeline.

Option D · Manual copy into your project

Clone the repo and copy the skill folder you want — handy if you want to fork or hack on the skill itself.

git clone https://github.com/ConardLi/garden-skills.git cp -r garden-skills/skills/web-design-engineer your-project/.claude/skills/ # Cursor / generic agent: cp -r garden-skills/skills/web-design-engineer your-project/.agents/skills/

The agent discovers the skill the next time it scans the workspace.

Option E · Git submodule

For vendoring into a larger project where you want to track upstream updates:

git submodule add https://github.com/ConardLi/garden-skills.git vendor/garden-skills ln -s ../../vendor/garden-skills/skills/web-design-engineer .claude/skills/web-design-engineer

Pin to a release tag for reproducibility:

cd vendor/garden-skills git checkout web-design-engineer-v1.0.0

Compatibility

Agent / Runtime	Skill location	Status
Claude Code	`.claude/skills/<name>/` or via plugin marketplace	✅ Tested
Claude.ai (web)	Settings → Capabilities → Skills	✅ Tested
Cursor	`.agents/skills/<name>/`	✅ Tested
Codex CLI	`.codex/skills/<name>/`	✅ Tested
Gemini CLI	extension manifest	✅ Tested
OpenCode	`.opencode/skills/<name>/`	✅ Tested

The SKILL.md format is portable by design — if your agent supports skills, copy the folder into the directory it scans, and it should work. PRs welcome to extend this matrix.

What is a Skill?

A Skill is a self-contained folder the agent can load on-demand. It's just a SKILL.md (YAML frontmatter + instructions), optionally accompanied by reference docs, scripts, and assets:

<skill-name>/ ├── SKILL.md ← required: when to use it + how to do it ├── README.md ← human-facing docs ├── references/ ← optional: extended docs the agent loads on demand ├── scripts/ ← optional: deterministic executable helpers └── assets/ ← optional: templates, fonts, icons

The agent decides whether to activate the skill from the description line in the frontmatter — so the description is the contract between you and the agent. For the full spec, see agentskills.io and Anthropic's reference repository.

Contributing

Bug reports, new skills, and tooling improvements are all welcome.

The maintainer-facing docs — repository layout, release process, version rules, CI workflow, troubleshooting — live in CONTRIBUTING.md (中文). Read that first if you want to add a skill or cut a release.

Quick orientation:

git clone https://github.com/ConardLi/garden-skills.git cd garden-skills npm run list # show all skills + manifest status npm run validate # the same check CI runs on every PR

Acknowledgments

This collection stands on the shoulders of:

Anthropic for the Agent Skills spec and the anthropics/skills reference repository.
Claude Design — the system prompt that inspired web-design-engineer. The original is preserved in dist/prompt/claude-design-system-prompt.md for reference.
The broader OSS skill community — see travisvn/awesome-claude-skills and obra/superpowers for further discovery.

Connect

平台	账号名称	链接
X/Twitter	code秘密花园	https://x.com/GardenConardLi
B 站	code秘密花园	https://space.bilibili.com/474921808
抖音	code秘密花园	https://v.douyin.com/i5b33Xfv/
YouTube	code秘密花园	https://www.youtube.com/@garden-conard
小红书	code秘密花园	https://www.xiaohongshu.com/user/profile/5af45e78f7e8b903d6e04618
公众号	code秘密花园	https://cdn.jsdelivr.net/gh/ConardLi/easy-dataset@main/public/imgs/weichat.jpg
GitHub	ConardLi	https://github.com/ConardLi
个人网站	Easy AI	https://mmh1.top

License

MIT © ConardLi

Name		Name	Last commit message	Last commit date
.claude-plugin		.claude-plugin
.github/workflows		.github/workflows
demo/web-design-demo		demo/web-design-demo
dist		dist
scripts/release		scripts/release
skills		skills
website		website
.gitignore		.gitignore
CONTRIBUTING.ja-JP.md		CONTRIBUTING.ja-JP.md
CONTRIBUTING.md		CONTRIBUTING.md
CONTRIBUTING.zh-CN.md		CONTRIBUTING.zh-CN.md
LICENSE		LICENSE
README.ja-JP.md		README.ja-JP.md
README.md		README.md
README.zh-CN.md		README.zh-CN.md
package.json		package.json

Navigation Menu

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Table of contents

`motion-showreel`

`web-video-presentation`

`web-design-engineer`

`gpt-image-2`

Selected live cases

`beautiful-article`

Theme gallery

`kb-retriever`

Install

Option A · `skills` CLI (npx)

Option B · Claude Code plugin marketplace

Option C · Pinned `.zip` from Releases

Option D · Manual copy into your project

Option E · Git submodule

Compatibility

What is a Skill?

Contributing

Acknowledgments

Connect

License

About

Releases

Packages

Contributors

Languages

Latest commit

History

Folders and files

Repository files navigation

Freecredit2026 Codes Rasmi Rm10 Free Credits Terbaik Entertainment Everyone

Mega888 Vs Download Klaim 12 Best Amount Types

Rm10 Free Malaysia Terms Klaim Dan Breakdown Boleh Scene

Free Credit Magnum And Deposit Download 918kiss Entering Maximise Monte

Table of contents

motion-showreel

web-video-presentation

web-design-engineer

gpt-image-2

Selected live cases

beautiful-article

Theme gallery

kb-retriever

Install

Option A · skills CLI (npx)

Option B · Claude Code plugin marketplace

Option C · Pinned .zip from Releases

Option D · Manual copy into your project

Option E · Git submodule

Compatibility

What is a Skill?

Contributing

Acknowledgments

Connect

License

About

Topics

Resources

Contributing

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages

`motion-showreel`

`web-video-presentation`

`web-design-engineer`

`gpt-image-2`

`beautiful-article`

`kb-retriever`

Option A · `skills` CLI (npx)

Option C · Pinned `.zip` from Releases