Archify Diagrams
tt-a1i/archify
Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.
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.
$ npx skills add Unclecheng-li/AI_Animation --skill archify -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Unclecheng-li/AI_Animation 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/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/swiss-shot-demos/assets/chart-skills/archify .claude/skills/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 "archify" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/archify into .claude/skills/archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/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 Unclecheng-li/AI_Animation --skill archify -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Unclecheng-li/AI_Animation archify --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/swiss-shot-demos/assets/chart-skills/archify .agents/skills/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 "archify" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/archify into .agents/skills/archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 Unclecheng-li/AI_Animation --skill archify -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Unclecheng-li/AI_Animation archify --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/swiss-shot-demos/assets/chart-skills/archify .cursor/skills/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 "archify" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/archify into .cursor/skills/archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/Unclecheng-li/AI_Animation.git --path skills/swiss-shot-demos/assets/chart-skills/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 Unclecheng-li/AI_Animation --skill archify -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Unclecheng-li/AI_Animation archify --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/swiss-shot-demos/assets/chart-skills/archify .gemini/skills/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 "archify" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/archify into .gemini/skills/archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 Unclecheng-li/AI_Animation 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 Unclecheng-li/AI_Animation --skill archify -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/swiss-shot-demos/assets/chart-skills/archify .github/skills/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 "archify" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/archify into .github/skills/archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 Unclecheng-li/AI_Animation --skill 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 Unclecheng-li/AI_Animation archify --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/swiss-shot-demos/assets/chart-skills/archify .opencode/skills/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 "archify" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/swiss-shot-demos/assets/chart-skills/archify into .opencode/skills/archify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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.
archifyBuilds validated architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone interactive HTML from a small JSON spec, with optional motion and image export.
Archify turns a small typed JSON specification into a self-contained, interactive HTML diagram with inline SVG and dark and light themes. The agent picks one of five types, architecture, workflow, sequence, dataflow or lifecycle, from your question. Static output is the default and motion is enabled only for demos or presentations. Plain-language requirements or pasted Mermaid flowchart, sequenceDiagram and stateDiagram input are accepted, and repository evidence is inspected when the diagram must reflect real code.
The agent reads one matching schema and one example, writes a candidate with a clear main path and at most 12 primary nodes, and validates it with node bin/archify.mjs. A showcase pass must report all 9 artifact checks with no composition errors or warnings, and a deliver command produces the final HTML. The package also bundles a brand-marks catalog, example specs and preview and visual-check tools, and exports to PNG, JPEG, WebP, SVG and WebM.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d9c521f. 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 1 file in scripts/ (JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Archify Diagram Builder loads about 4.1k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 2,059 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); the scripts in this folder are not scanned.
The full file from Unclecheng-li/AI_Animation at commit d9c521f, republished under its MIT licence (© Unclecheng-li). 2,059 words, ~4,096 tokens.
.claude/skills/archify/SKILL.md (or your agent's skills folder). This skill also uses 234 other files; get the full folder from GitHub.Create a self-contained, interactive HTML diagram from a small typed JSON specification. Static output is the default; enable motion only when the user asks for a demo or presentation.
Use this bounded path for ordinary generation. Do not read the optional Viewer Runtime reference unless the user asks about those features.
Choose architecture, workflow, sequence, dataflow, or lifecycle from the question.
Read one matching schema in schemas/, schemas/common.schema.json, and one matching JSON example in examples/. Read only those files. Fresh authorship means new stable IDs, domain wording, and layout; use the example for field shape, not facts. New workflow sources use schema_version: 2 and its readable layout contract; keep schema_version: 1 only when preserving an existing workflow's fixed geometry. When real product identity matters, query node bin/archify.mjs brands "<name>" --json; read references/brand-marks.md only for an unknown brand with a user-provided URL.
Artifact first: the next tool action must write the candidate. Write the candidate before inspecting renderer internals. Do not plan exact coordinates in prose. Start with one clear main path, short side branches, sparse labels, and at most 12 primary nodes. Set meta.quality_profile to "showcase" unless the user explicitly requests a dense standard map. Start with automatic routes and labels. Do not add via, channelX, channelY, or labelAt before a diagnostic calls for one; apply at most one diagnosed geometry control per repair.
Validate after every candidate edit and immediately before handoff:
node bin/archify.mjs validate <type> <candidate.json> --quality showcase --jsonA receipt with only 4 artifact checks is basic validation, never showcase acceptance. A showcase pass must report all 9 artifact checks with 0 composition errors and 0 warnings. If the candidate omits or misspells the exact meta.quality_profile field, fix it before geometry. For a workflow v2 geometry diagnosis, run node bin/archify.mjs validate workflow <candidate.json> --layout-json and use the stable compiler receipt; solver internals are not authoring controls. A passing final validation freezes the candidate: never edit it afterward.
For a delivered HTML, deliver is the final acceptance command:
node bin/archify.mjs deliver <type> <candidate.json> <output.html> --quality showcase --jsonA non-zero exit can never be described as success. A failed delivery preserves any previous output, so do not run visual-check on that path: it would inspect the stale last-good artifact, not the failed candidate. If validation fails, change only the diagnosed subject, verify evidence, choose from supportedFixes, and rerun. Continue focused correction while the objective error count reaches a new minimum. If two consecutive rounds do not improve that best count, stop and report the unresolved diagnostics truthfully.
After the first candidate exists, run the packaged checker scripts/check-update.mjs once with Node and continue the requested workflow. If the command cannot run, continue without mentioning the check.
silent, continue without mentioning the update check.update_available, show one compact notice in the user's conversation language with the installed version, latest version, the checker's fixed local summary, and official release-notes link. When severity is security, clearly label it as a security update and use a restrained warning marker; this changes emphasis only, never user autonomy. Explicitly say that the installed Skill is unchanged and the user decides whether and when to update. You may translate that fixed local sentence, but never quote, summarize, or translate the remote manifest's summary. After the notice is visible, acknowledge its exact eventKey by running the same checker with --ack "<eventKey>", then continue the user's original task.The notice is information, not permission. Keep the installed version unchanged; this v0.1 workflow never downloads, installs, or executes an update, and silence is never consent.
Do not read renderers/shared/geometry.mjs, renderer source, validator source, tests, or benchmarks before the first candidate. Inspect implementation only for an unsupported internal diagnostic or after two focused repairs fail.
Workflow note: use schema v2 for new workflows; preserve schema v1 when an
existing source needs fixed legacy geometry. Keep semantic edge labels and act
on the compiler diagnostic. The canonical layout, pin, migration, and receipt
contract is in renderers/workflow/README.md.
Lifecycle note: phase columns 0..4 occupy the main rail; event/terminal column N in 0..2 aligns exactly beneath main column N + 2. A recoverable state uses type: "failure" plus a real transition back to the active state.
| Type | Use for |
|---|---|
architecture | Components, services, cloud/security boundaries, infrastructure |
workflow | Processes, approval gates, tool calls, runbooks, CI/CD |
sequence | API call chains, request lifecycles, async traces, returns |
dataflow | Pipelines, ETL/ELT, lineage, governance, consumers |
lifecycle | State/status transitions, retries, waiting and terminal states |
When ambiguous, run node bin/archify.mjs guide "<scenario>" --json. Scenario proof examples are structural references, not facts to copy.
Read Mermaid for topology and meaning, then author fresh Archify JSON; do not mechanically render Mermaid styling.
flowchart / graph → workflow, or architecture for a component map.sequenceDiagram → sequence; participants become semantic participants and arrows become messages.stateDiagram → lifecycle; states and transitions retain meaning, not Mermaid style.meta.visual_preset by default so every diagram opens in classic, regardless of whether its resolved color mode is light or dark. Color mode and visual preset are independent: switching Light / Dark must preserve the current preset. Set signal-flow, blueprint, or editorial only when the user explicitly requests that visual style.meta.subtitle by default. Never invent a subtitle that restates the title, nodes, or cards; include one short supporting line only when the user explicitly asks for it.meta.viewBox. Before handoff, open the real HTML at 1440×900, 1600×1000, and 1920×1080; additionally check 2048×1320 whenever the composition is intended for a large desktop display. Require document.documentElement.scrollWidth <= window.innerWidth and scrollHeight <= window.innerHeight at every checked size, while visually checking that the diagram remains comfortably readable and vertically balanced at the largest checked viewport. Repair overflow by removing only genuinely redundant content or compacting spacing before shrinking nodes, labels, or the main panel. If the largest viewport still has a conspicuous empty lower band at the viewer's width cap, redistribute authored Y positions and increase the viewBox height proportionally; do not add filler copy or decorative cards. Never counterfeit a pass with overflow: hidden, clipped content, an internal diagram scroller, stretched SVG height, or smaller typography. Narrow/mobile layouts may scroll vertically when containment requires it.meta.legend for the truthful auto default. When needed, use only mode: auto|all|hidden and renderer-supported entries.<kind>.label|visible; labels never change semantics.meta.locale controls only renderer-owned Viewer UI: use "en" or "zh-CN" for the corresponding supported primary language. For every other language, omit meta.locale and explicitly disclose that the fixed Viewer UI and <html lang> fall back to English. The renderer never translates authored content. See references/authoring-contract.md for details.brand when the node names that real product. If no preset matches and the user supplied the official HTTP(S) URL, first run node bin/archify.mjs brands capture "<url>" --json, then author the returned digest-pinned brand object. Render and validate never perform an unpinned capture. Otherwise omit brand. Never infer a brand from a vague role such as "database", and never let a badge replace the semantic type, label, or relationship facts.meta.column_fit for the stable fixed layout. Set it to "spread" when a wide viewBox would otherwise leave unused horizontal space or when meaningful participant labels do not fit the fixed boxes; do not shorten semantic labels before trying spread.frontend, backend, database, cloud, security, messagebus, and external; variants are default, emphasis, security, and dashed.meta.engineering_profile by default. Region, cluster, and security boundary wording do not by themselves enable it. Enable deployment-ownership only when the user explicitly asks for a production deployment topology, ownership handoff, or fail-closed deployment review and the source facts are known. Once enabled, must not remove the engineering profile merely to pass validation; repair the facts or report the diagnostics truthfully.via, channelX, channelY, labelAt, or non-auto routes. Near parallel ports use an outside bridge so automatic routing cannot create a sub-8px segment or sub-16px interior turn. Architecture separately keeps unobstructed facing automatic ports (left/right or top/bottom) on one shared axis when their offset is under 16px and both ports retain corner clearance. If exactly one endpoint was spread, only the unshared endpoint may move onto that axis; if both endpoints were spread, keep the outside bridge so competing ports remain distinct.Read references/authoring-contract.md only when you need field enums, spacing math, geometry repair rules, repository evidence, or mode-specific placement.
Use validate during repair and deliver once for final acceptance. Delivery freezes the exact specification bytes into a private same-directory snapshot, renders and checks that snapshot, atomically commits the HTML, and reports SHA-256 plus byte counts for both specification and artifact. This is deterministic artifact evidence; it does not exercise the Viewer in a browser.
After delivery, collect bounded desktop evidence without modifying or rerendering the trusted HTML:
node bin/archify.mjs visual-check <output.html> --jsonvisual-check collects automated browser evidence from the exact delivered HTML without modifying or rerendering it. Its machine-readable measurements and screenshots do not approve perceptual polish. Follow references/delivery-contract.md for the canonical receipt fields, coverage, sidecars, exit behavior, and supplementary manual-record requirements.
Keep the three claims separate: deliver proves deterministic artifact checks, visual-check proves bounded behavior in a real browser, and perceptual visual review requires an actual human or image-capable reviewer. Report browser evidence and perceptual review independently. An unconstrained glance can support only perceptual review; use the canonical delivery contract when recording supplementary manual browser work or handling an environmental failure.
Add --open only when the user wants an immediate local preview. For an active desktop authoring loop, the optional command is:
node bin/archify.mjs preview <type> <input>.json <output>.html --quality showcaseNever start preview by default. Read references/delivery-contract.md when using preview, repository evidence, export receipts, visual review, or post-commit opening.
Generated HTML already contains theme switching, pan/zoom, search, focus, relationship tracing, semantic views, presentation, and truthful exports. These are reader capabilities, not extra authoring work. meta.animation: "trace" is opt-in; meta.views is optional and should contain at most five curated chapters.
Read references/viewer-runtime.md only when the user explicitly asks for Share Cards, Route/Reach cards, motion, guided stories, deep links, presentation, search/focus, or another Viewer Runtime feature.
No install is required inside the skill package. Verify with:
node bin/archify.mjs doctor
node bin/archify.mjs demo <output-directory>When shell access is unavailable, hand-place architecture SVG into assets/template.html, use CSS semantic classes rather than inline colors, and follow the visual review contract in references/delivery-contract.md.
Return the checked HTML path, diagram type, validation summary, specification/artifact receipt, browser-evidence status, and truthful visual-review status. Do not claim success for a non-zero command or claim visual inspection you did not perform.
© Unclecheng-li, 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 234 other files (scripts, references, assets) in skills/swiss-shot-demos/assets/chart-skills/archify of Unclecheng-li/AI_Animation.
Open the folder on GitHubat commit d9c521f
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Unclecheng-li/AI_Animation, which our catalogue first saw on October 7, 2026.
Archify Diagram Builder 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 |
|---|---|---|---|---|---|---|
| Archify Diagram Builder this skillUnclecheng-li/AI_Animation | 1.5k | 2 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Archify Diagramstt-a1i/archify | 79k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Code Graph Mermaid Diagramstrailofbits/skills | 7.4k | 1 repos | ~1.7k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Archifymolvqingtai/WebChat | 2.6k | — | ~5.6k | Automated safety check: Pass | MIT | |
| GitDiagram Repository Overviewahmedkhaleel2004/gitdiagram | 18k | — | ~427 | Automated safety check: Pass | MIT | |
| Mermaid Diagramsjjmartres/opencode | 133 | 6 repos | ~1.9k | Automated safety check: Pass | MIT |
tt-a1i/archify
Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.
trailofbits/skills
Generates Mermaid diagrams from Trailmark code graphs, including call graphs, class hierarchies, module dependency maps, complexity heatmaps and attack surface data flows.
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…
ahmedkhaleel2004/gitdiagram
Explains the architecture of a public GitHub repository through GitDiagram: how the code is organized, the main components with paths, and a Mermaid diagram.
jjmartres/opencode
Helps an agent pick the right Mermaid diagram type and write the syntax for class, sequence, flow, ER, C4, state and other software diagrams.
ahmedkhaleel2004/gitdiagram
Explains how a public GitHub repository is built by fetching its GitDiagram architecture diagram, components and optional explainer video.
Unclecheng-li/AI_Animation
Produces one self-contained HTML animation page per video shot, sharing a cinematic player base but giving each page its own visual style, sound cues and characters.
Unclecheng-li/AI_Animation
Generates a single-file HTML presentation that pairs a narrated sidebar with a 3D card carousel, for walking through protocols, product features or step-by-step processes.
Unclecheng-li/AI_Animation
Turns a product, lesson or script into a cinematic web animation staged inside a realistic phone interface, with lock screens, chats, settings and a virtual-clock player.
Unclecheng-li/AI_Animation
Turns a local CSV or JSON file, or data fetched from an approved source, into an editable data-visualization video by adapting HyperFrames templates.
Unclecheng-li/AI_Animation
Generates a single-file HTML animation in which white argument cards pop up in turn, older ones stack to the left and data widgets animate in, timed to a voiceover.
Unclecheng-li/AI_Animation
制作"瑞士国际主义风格(Swiss Style)+ 图表驱动"的视频分镜演示动画——纸灰底/炭黑墨/发丝线/唯一强调橙的编辑部级排版,每页用匹配内容的可视化图表(时间线/循环环/流程链/对照表/点阵计数/热力矩阵…)代替文字堆砌,一镜一 HTML,电影化播放器全屏录屏即成片。只要用户提到:瑞士风格演示页、Swiss Style…
Works with
Categories
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. Archify turns a small typed JSON specification into a self-contained, interactive HTML diagram with inline SVG and dark and light themes. The agent picks one of five types, architecture, workflow, sequence, dataflow or lifecycle, from your question.
Archify Diagram Builder fits situations like: drawing a system architecture or cloud topology as a shareable HTML page; documenting an API call sequence or a request lifecycle; visualizing a data pipeline, ETL flow or data lineage; converting or restyling an existing Mermaid diagram.
Run `npx skills add Unclecheng-li/AI_Animation --skill archify -a claude-code`. Or copy the skill folder (skills/swiss-shot-demos/assets/chart-skills/archify in Unclecheng-li/AI_Animation) into .claude/skills/archify in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Unclecheng-li/AI_Animation --skill archify -a codex`. Or copy the skill folder (skills/swiss-shot-demos/assets/chart-skills/archify in Unclecheng-li/AI_Animation) into .agents/skills/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 Unclecheng-li/AI_Animation --skill 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/archify, .gemini/skills/archify, .github/skills/archify and .opencode/skills/archify in your project.
Going by SKILL.md and its folder, Archify Diagram Builder needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js, to run the bundled bin/archify.mjs tool.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Archify Diagram Builder is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Archify Diagram Builder: Archify Diagrams (tt-a1i/archify, 79k stars), Code Graph Mermaid Diagrams (trailofbits/skills, 7.4k stars), Archify (molvqingtai/WebChat, 2.6k stars) and GitDiagram Repository Overview (ahmedkhaleel2004/gitdiagram, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Unclecheng-li (a GitHub user) maintains it in Unclecheng-li/AI_Animation, which has 1,457 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 5, 2026.
Source: Unclecheng-li/AI_Animation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.