Technical Diagram Skill
mingchen666/Reviva
Create professional technical diagrams as standalone animated HTML files with SVG graphics, flowing effects, dark/light theme toggle, and export support.
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone animated HTML files with SVG graphics, flowing animation effects, a built-in dark/light…
$ npx skills add OWWZO/ai-agent --skill dynamic-archify -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OWWZO/ai-agent dynamic-archify --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OWWZO/ai-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills/dynamic-archify .claude/skills/dynamic-archify && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dynamic-archify" agent skill from https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archify into .claude/skills/dynamic-archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamic-archify", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archifyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OWWZO/ai-agent --skill dynamic-archify -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OWWZO/ai-agent dynamic-archify --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OWWZO/ai-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/runtime/skills/dynamic-archify .agents/skills/dynamic-archify && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dynamic-archify" agent skill from https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archify into .agents/skills/dynamic-archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamic-archify", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OWWZO/ai-agent --skill dynamic-archify -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OWWZO/ai-agent dynamic-archify --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OWWZO/ai-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/runtime/skills/dynamic-archify .cursor/skills/dynamic-archify && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dynamic-archify" agent skill from https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archify into .cursor/skills/dynamic-archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamic-archify", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OWWZO/ai-agent.git --path runtime/skills/dynamic-archify--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OWWZO/ai-agent --skill dynamic-archify -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OWWZO/ai-agent dynamic-archify --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OWWZO/ai-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/runtime/skills/dynamic-archify .gemini/skills/dynamic-archify && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dynamic-archify" agent skill from https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archify into .gemini/skills/dynamic-archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamic-archify", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OWWZO/ai-agent dynamic-archifyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OWWZO/ai-agent --skill dynamic-archify -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OWWZO/ai-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/runtime/skills/dynamic-archify .github/skills/dynamic-archify && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dynamic-archify" agent skill from https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archify into .github/skills/dynamic-archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamic-archify", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OWWZO/ai-agent --skill dynamic-archify -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OWWZO/ai-agent dynamic-archify --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OWWZO/ai-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/runtime/skills/dynamic-archify .opencode/skills/dynamic-archify && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dynamic-archify" agent skill from https://github.com/OWWZO/ai-agent/tree/master/runtime/skills/dynamic-archify into .opencode/skills/dynamic-archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamic-archify", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dynamic-archifyCreate professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone animated HTML files with SVG graphics, flowing animation effects, a built-in dark/light…
Dynamic Archify is an agent skill from OWWZO/ai-agent. Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone animated HTML files with SVG graphics, flowing animation effects, a built-in dark/light theme toggle, and one-click export to PNG / JPEG / WebP / SVG / GIF / WebM. Accepts plain-language descriptions or pasted Mermaid code and lays the diagram out from scratch. Use when the user asks for system architecture diagrams, infrastructure diagrams, cloud architecture visualizations, security diagrams, network…
Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 44 other files, including assets (for example `README.md`, `assets/gif.js` and `assets/gif.worker.js`).
It sits in Data & Analytics, covering Diagrams and Data pipelines and ETL. It works with Mermaid. The repository describes itself as: 一个面向全网研究与复杂数据分析的云端智能体,能在公开网络、YouTube、BiliBili、X、小红书、Hacker News上研究任何主题 。项目wiki:https://zread.ai/OWWZO/ai-agent. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cb6e389. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
nodenpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dynamic Archify loads about 5.5k tokens when it runs. Until then it costs about 205 tokens; SKILL.md has 2,042 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from OWWZO/ai-agent at commit cb6e389, republished under its MIT licence (© OWWZO). 2,042 words, ~5,478 tokens.
.claude/skills/dynamic-archify/SKILL.md (or your agent's skills folder). This skill also uses 40 other files; get the full folder from GitHub.Create professional technical diagrams as self-contained HTML files with inline SVG, a theme toggle, and a built-in image/SVG export menu.
Every diagram ships with a dark/light theme toggle (persists in localStorage, respects prefers-color-scheme), an export menu (copy PNG to clipboard; download PNG/JPEG/WebP rasterized natively at up to 4× resolution; download a dual-theme SVG that follows the embedding host's prefers-color-scheme — ideal for GitHub READMEs), and a CSS-variable color system that keeps both themes consistent.
The four typed renderers validate JSON against schemas via ajv. From this skill's folder:
npm installWithout it the renderers still run — they print a warning and skip schema validation, keeping their own layout checks. The generated HTML never has dependencies; only the renderers do.
If you have no shell access at all (e.g. the skill was added as project knowledge), fall back to architecture mode for every request: hand-place SVG into assets/template.html following the Design System below, and run the self-review checklist before delivering.
| Type | Use for | How |
|---|---|---|
architecture | System components, cloud resources, services, security boundaries, infrastructure | renderers/architecture/render-architecture.mjs + JSON (or hand-place SVG when renderers can't run) |
workflow | Technical flows, approval gates, tool calls, runbooks, CI/CD, incident response | renderers/workflow/render-workflow.mjs + JSON |
sequence | API call chains, request lifecycles, cache fallback, async traces, return paths | renderers/sequence/render-sequence.mjs + JSON |
dataflow | Pipelines, ETL/ELT, PII isolation, lineage, warehouse sync, consumers | renderers/dataflow/render-dataflow.mjs + JSON |
lifecycle | State machines, status transitions, wait states, retries, terminal states | renderers/lifecycle/render-lifecycle.mjs + JSON |
Trigger phrases: "architecture/system/cloud diagram" → architecture (unless clearly process-oriented). "workflow/flow/process/runbook/approval/CI-CD/incident" → workflow. "sequence/interaction/call chain/who calls whom" → sequence. "data flow/pipeline/ETL/lineage/PII/governance" → dataflow. "state/status/lifecycle/state machine/retry/terminal" → lifecycle.
When the user pastes Mermaid code, do NOT try to render or parse it mechanically — read it for structure and lay out from scratch in the matching archify mode:
| Mermaid | Archify mode | Mapping |
|---|---|---|
flowchart / graph | workflow (or architecture if it's a component map) | subgraph → lane or region boundary; node shape {} (diamond) → decision/security node; --> labels → edge labels (use sparingly); classDef/style → nearest semantic type |
sequenceDiagram | sequence | participant → participants (pick semantic type from the name); ->> → message, -->> → return variant; Note → message note; rect blocks → segments |
stateDiagram | lifecycle | states → states (pick start/active/waiting/success/failure from names); [*] start/end → start type / terminal lane; transition labels → event-like labels |
Drop Mermaid styling; keep only the topology and meaning. You choose grouping, lane order, and what deserves emphasis — that judgment is the product.
All four modes follow the same loop:
schemas/<type>.schema.json) and the complete worked example (examples/*.{workflow,sequence,dataflow,lifecycle}.json) — copy its patterns instead of guessing field shapes.<name>.<type>.json.node renderers/<type>/render-<type>.mjs <input>.json <output>.html (paths relative to this skill's folder).Schema violations exit non-zero with path-prefixed messages like /nodes/3 (id/label: "router") must NOT have additional properties. The renderers additionally fail fast on layout problems: node/state overlap (including cross-lane), labels colliding with nodes or other labels, labels wider than their node, out-of-range columns/rows, too-short edges, and legends outside the viewBox. CJK text is measured at double width automatically.
{
"schema_version": 1,
"diagram_type": "workflow",
"meta": { "title": "Release Workflow", "subtitle": "PR to production", "output": "release.html" },
"lanes": [ { "id": "dev", "label": "Developer" }, { "id": "ci", "label": "CI" } ],
"nodes": [
{ "id": "pr", "lane": "dev", "col": 0, "type": "frontend", "label": "Open PR", "sublabel": "feature branch" },
{ "id": "build", "lane": "ci", "col": 1, "type": "backend", "label": "Build", "sublabel": "lint + test", "tag": "blocking" }
],
"edges": [
{ "from": "pr", "to": "build", "label": "webhook", "variant": "emphasis", "fromSide": "bottom", "toSide": "top", "route": "drop" }
],
"cards": []
}Layout budget: 6 columns (col 0–5) at fixed x positions [88, 220, 300, 430, 500, 625] — columns 1↔2 and 3↔4 are only 70–80px apart, so default-width (92px) nodes in those adjacent columns of the same lane overlap; skip a column or shrink width. Lane content width is 640px. Omit meta.viewBox — the renderer sizes height to the lane count automatically. Edge routes: straight, drop (bend between lanes; bias 0–1 picks where), outside-right, return-left, bottom-channel, up-channel, or explicit via points. Keep adjacent-step edges unlabeled; reserve labels for cross-lane transitions, approvals, async writes, and returns.
{
"schema_version": 1,
"diagram_type": "sequence",
"meta": { "title": "Cache Miss Request", "subtitle": "auth and cache fallback", "output": "cache-miss.html" },
"participants": [
{ "id": "web", "type": "frontend", "label": "Web App", "sublabel": "React UI" },
{ "id": "api", "type": "backend", "label": "API", "sublabel": "handler" }
],
"segments": [ { "from": 160, "to": 320, "label": "01 / AUTH" } ],
"messages": [
{ "from": "web", "to": "api", "y": 200, "label": "GET /data", "variant": "emphasis" },
{ "from": "api", "to": "web", "y": 290, "label": "200 JSON", "variant": "return" }
],
"activations": [ { "participant": "api", "from": 190, "to": 300, "type": "backend" } ],
"cards": []
}Layout budget: participants sit at x = 62 + index×108, so a 920-wide viewBox fits at most 8. Message y must stay within [160, viewBox_height − 83]; messages that share horizontal space need ≥28px vertical separation; arrows need ≥60px horizontal span. segments[].from/to and activations[].from/to are y pixel coordinates, not participant ids. A taller meta.viewBox (default [920, 760]) buys more timeline room. Keep labels short: "GET /path", "verify JWT", "cache miss", "200 JSON".
{
"schema_version": 1,
"diagram_type": "dataflow",
"meta": { "title": "Product Analytics", "subtitle": "events to consumers", "output": "analytics.html" },
"stages": [ { "label": "Sources" }, { "label": "Ingest" }, { "label": "Store" } ],
"nodes": [
{ "id": "web", "type": "frontend", "label": "Web App", "stage": 0, "row": 0, "sublabel": "clickstream" },
{ "id": "kafka", "type": "messagebus", "label": "Kafka", "stage": 1, "row": 0, "tag": "accepted events" }
],
"flows": [
{ "from": "web", "to": "kafka", "label": "events", "classification": "PII touch", "variant": "emphasis" }
],
"cards": []
}Layout budget: 2–5 stages at x = 100 + stage×215; 5 rows (row 0–4) at y [128, 242, 356, 470, 584]; default node 112×58. Default viewBox [940, 720]. Flow labels are mandatory and asset-like ("clickstream", "identity map", "feature vectors"); put sensitivity in classification ("PII touch", "approved only", "non-PII"). Variants: emphasis = primary path, security = PII/policy/consent, dashed = async/batch.
{
"schema_version": 1,
"diagram_type": "lifecycle",
"meta": { "title": "Agent Run Lifecycle", "subtitle": "states and terminal outcomes", "output": "agent-run.html" },
"lanes": [
{ "id": "main", "label": "Lifecycle phases" },
{ "id": "waiting", "label": "Interruptions" },
{ "id": "terminal", "label": "Terminal exits" }
],
"states": [
{ "id": "queued", "type": "start", "label": "Queued", "lane": "main", "col": 0, "step": "01" },
{ "id": "running", "type": "active", "label": "Executing", "lane": "main", "col": 2, "step": "02" },
{ "id": "approval", "type": "waiting", "label": "Needs Approval", "lane": "waiting", "col": 0 },
{ "id": "done", "type": "success", "label": "Completed", "lane": "terminal", "col": 2 }
],
"transitions": [
{ "from": "queued", "to": "running", "variant": "emphasis" },
{ "from": "running", "to": "approval", "label": "needs approval", "variant": "security", "fromSide": "bottom", "toSide": "right" },
{ "from": "running", "to": "done", "label": "success", "variant": "emphasis", "fromSide": "bottom", "toSide": "top" }
],
"cards": []
}Layout budget — lane ids are semantic and reserved: main is required and maps to the top phase band (cols 0–4); terminal maps to the bottom outcome band (cols 0–2); every other lane id shares the single middle event band (cols 0–2) — separate same-band states with different col or yOffset. Band headers render from your lane labels. Default viewBox [980, 660]. Keep transition labels event-like and sparse ("retry", "timeout", "cancel"); prefer state tags, step numbers, and summary cards over label-heavy arrows. Put terminal states in the terminal lane so endings are unambiguous.
Each renderer has a README with its full design language (route presets, semantic types, story guidance): renderers/workflow/README.md, renderers/sequence/README.md, renderers/dataflow/README.md, renderers/lifecycle/README.md. Read the matching one before your first diagram of that mode in a session.
Architecture has the same read-schema-then-render loop as the other modes — prefer it. Hand-placed SVG is the fallback for when renderers can't run.
{
"schema_version": 1,
"diagram_type": "architecture",
"meta": { "title": "Sample Web App", "subtitle": "3-tier SaaS on AWS", "output": "web-app.html" },
"components": [
{ "id": "users", "type": "external", "label": "Users", "sublabel": "Browser", "pos": [40, 300] },
{ "id": "api", "type": "backend", "label": "API Server", "sublabel": "FastAPI :8000", "pos": [460, 300] },
{ "id": "db", "type": "database", "label": "PostgreSQL", "sublabel": ":5432", "pos": [680, 300] }
],
"boundaries": [
{ "kind": "region", "label": "AWS us-west-2", "wraps": ["api", "db"] }
],
"connections": [
{ "from": "users", "to": "api", "label": "HTTPS", "variant": "emphasis" },
{ "from": "api", "to": "db", "label": "SQL" }
],
"cards": []
}Render: node renderers/architecture/render-architecture.mjs <input>.json <output>.html.
The renderer does the mechanical work that used to be hand-tuned, so you only choose coordinates and meaning:
pos: [x, y] is the component's top-left; size: [w, h] defaults to [120, 60]. Unlike the typed modes there is no lane/stage grid — asymmetric placement is yours to choose. meta.viewBox is optional (auto-fitted to your components + a legend row).wraps — list the component ids a region (dashed amber) or security-group (dashed rose) encloses; the renderer computes the box with correct 30/50 padding automatically. Never hand-arithmetic a boundary again.variant, fromSide/toSide, route: straight|orthogonal-h|orthogonal-v|auto, via, labelDx/labelDy/labelAt). For a vertical labeled connection, push the label into the gap with labelDy (the validator will tell you if it lands on a box).c-mask pattern, draws arrows before boxes (z-order), builds the legend from the component types you used, and fails fast on component overlap, off-canvas components/boundaries, unknown wraps/connection ids, label-vs-component collisions, and non-finite coordinates — the same reliability the other four modes already had.When Node/ajv can't run, copy assets/template.html and place SVG by hand. Study the worked diagram inside the template and examples/web-app.html for coordinate idioms, follow the Design System below, and run the self-review checklist before delivering.
The theme toggle works by switching CSS custom properties. Hardcoded fill="rgba(...)" or stroke="#22d3ee" will NOT update on theme change. Always use the class system:
<rect x="X" y="Y" width="W" height="H" rx="6" class="c-mask"/>
<rect x="X" y="Y" width="W" height="H" rx="6" class="c-backend" stroke-width="1.5"/>
<text x="CX" y="CY" class="t-primary" font-size="11" font-weight="600" text-anchor="middle">API Server</text>
<text x="CX" y="CY+16" class="t-muted" font-size="9" text-anchor="middle">FastAPI :8000</text>Component fills c-frontend (clients/UI), c-backend (services/APIs), c-database (stores/caches), c-cloud (managed infra), c-security (auth/secrets), c-messagebus (Kafka/queues), c-external (3rd parties); text accents t-<same> plus neutrals t-primary / t-muted / t-dim. Arrows a-default, a-emphasis (hot path), a-security (dashed), a-dashed (async) — always set stroke-width and pair marker-end="url(#arrowhead[-variant])" with the matching class. Boundaries: c-security-group (dashed rose), c-region (dashed amber), c-lane (swimlane).
Typography inherits JetBrains Mono from the SVG root. Sizes: 11–12px component names, 9px sublabels, 8px annotations, 7px tiny labels.
c-mask rect first, styled c-<type> rect on top — semi-transparent fills otherwise let arrows bleed through.y = inner y − 30, boundary height = inner height + 50, label baseline 18px below the boundary top.grep -E 'fill="(#|rgb)|stroke="(#|rgb)' out.html inside the SVG returns nothing except the template's own defs (Cardinal Rule).c-<type> rect has an identical-geometry c-mask rect immediately before it.<line>/<path> arrows appear before all component rects in document order.Archify supports multiple export formats for both static and animated diagrams:
GIF — Animated GIF capturing flowing animations
WebM — High-quality video format
For best GIF quality:
For WebM video:
File size optimization:
All diagrams now include automatic flowing animation effects on connection paths. This feature is built into the renderers and template — no additional configuration needed.
CSS Animations (stroke-dasharray flow):
a-emphasis: Fast flow (0.8s cycle) with pulse effect, 3px glowa-default: Medium flow (1.2s cycle), 2px glowa-dashed: Steady flow (1s cycle)a-security: Steady flow (1s cycle)SVG Animations (moving dots):
emphasis: 3px radius, high opacity (0.9), 2-3.5s durationdefault: 2.5px radius, medium opacity (0.8), 2.5-3.7s durationdashed: 2px radius, lower opacity (0.7), 2.2-3.4s durationsecurity: 2px radius, lower opacity (0.7), 2.5-3.5s durationCritical constraint: Flowing animations must flow from the source (no arrow) to the destination (arrow).
The renderers automatically handle this:
marker-end for arrowheadsThe flowing effects are automatically applied based on the variant property of connections/edges/flows/transitions:
{
"from": "source",
"to": "target",
"variant": "emphasis", // Fast flow with glow
"label": "data flow"
}Available variants:
emphasis — Primary data flow, fastest animation, strongest glowdefault — Standard connections, medium animationdashed — Async/batch operations, steady flowsecurity — Security/policy paths, steady flowThe flowing effects are implemented in two layers:
CSS layer (assets/template.html):
@keyframes flowDash — Animates stroke-dashoffset for flowing dashes@keyframes flowPulse — Animates opacity for emphasis pulse.a-emphasis, .a-default, .a-dashed, .a-security classesSVG layer (renderers):
<animateMotion> elements on <circle> dots.toolbar, <script> blocks, and :root / [data-theme] CSS are untouched — they ARE the theme toggle and export menu.A single self-contained .html: embedded CSS (Google Fonts loads async and degrades to system monospace offline), inline SVG, embedded gif.js library + worker for animated GIF export, ~60KB embedded JS for theme + export + animation. It renders directly in any modern browser. Raster exports render natively at up to 4× the viewBox (large diagrams step down to 3×/2× to stay under canvas limits); the SVG download is dual-theme self-contained and follows the host's prefers-color-scheme (manual override via svg[data-theme="..."]). Animated GIF/WebM exports capture the flowing animations with user-configurable resolution, frame rate, and duration.
© OWWZO, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 40 other files (assets) in runtime/skills/dynamic-archify of OWWZO/ai-agent.
Open the folder on GitHubat commit cb6e389
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in OWWZO/ai-agent, which our catalogue first saw on October 7, 2026.
Dynamic Archify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dynamic Archify this skillOWWZO/ai-agent | 186 | 1 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Technical Diagram Skillmingchen666/Reviva | 237 | — | ~5.7k | Automated safety check: Pass | MIT | |
| Archifymolvqingtai/WebChat | 2.6k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Archify Diagram BuilderUnclecheng-li/AI_Animation | 1.5k | 2 repos | ~4.1k | Automated safety check: Pass | MIT | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Documd Visualsmarkdown-viewer/skills | 3.4k | — | ~3.3k | Automated safety check: Pass | CC-BY-4.0 |
mingchen666/Reviva
Create professional technical diagrams as standalone animated HTML files with SVG graphics, flowing effects, dark/light theme toggle, and export support.
molvqingtai/WebChat
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone HTML files with SVG graphics, a built-in dark/light theme toggle, and one-click export to…
Unclecheng-li/AI_Animation
Builds validated architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone interactive HTML from a small JSON spec, with optional motion and image export.
vigorX777/ai-daily-digest
Fetches RSS feeds from 90 top Hacker News blogs (curated by Karpathy), uses AI to score and filter articles, and generates a daily digest in Markdown with Chinese-translated titles, category…
markdown-viewer/skills
Create text-driven visuals in Markdown: charts, diagrams, cards, architecture and page layouts.
Wide-Moat/open-computer-use
Describe images (charts, diagrams, tables, screenshots) using Vision AI.
OWWZO/ai-agent
Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing.
OWWZO/ai-agent
Three.js scene setup, cameras, renderer, Object3D hierarchy, coordinate systems.
OWWZO/ai-agent
Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library.
OWWZO/ai-agent
Create single-file HTML presentation galleries as a vertical, single-column feed of capped-width slide cards.
OWWZO/ai-agent
Three.js geometry creation - built-in shapes, BufferGeometry, custom geometry, instancing.
OWWZO/ai-agent
Three.js interaction - raycasting, controls, mouse/touch input, object selection.
Works with
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone animated HTML files with SVG graphics, flowing animation effects, a built-in dark/light…. Dynamic Archify is an agent skill from OWWZO/ai-agent. Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone animated HTML files with SVG graphics, flowing animation effects, a built-in dark/light theme toggle, and one-click export to PNG / JPEG / WebP / SVG / GIF / WebM.
Dynamic Archify fits situations like: the user asks for system architecture diagrams; infrastructure diagrams; cloud architecture visualizations; security diagrams.
Run `npx skills add OWWZO/ai-agent --skill dynamic-archify -a claude-code`. Or copy the skill folder (runtime/skills/dynamic-archify in OWWZO/ai-agent) into .claude/skills/dynamic-archify in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OWWZO/ai-agent --skill dynamic-archify -a codex`. Or copy the skill folder (runtime/skills/dynamic-archify in OWWZO/ai-agent) into .agents/skills/dynamic-archify in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OWWZO/ai-agent --skill dynamic-archify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dynamic-archify, .gemini/skills/dynamic-archify, .github/skills/dynamic-archify and .opencode/skills/dynamic-archify in your project.
Going by SKILL.md and its folder, Dynamic Archify needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and npm). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dynamic Archify is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.5k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dynamic Archify: Technical Diagram Skill (mingchen666/Reviva, 237 stars), Archify (molvqingtai/WebChat, 2.6k stars), Archify Diagram Builder (Unclecheng-li/AI_Animation, 1.5k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OWWZO (a GitHub user) maintains it in OWWZO/ai-agent, which has 186 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on September 19, 2026.
Source: OWWZO/ai-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.