skill

Archify

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network to...

tt-a1i111,505+ installsVetted

About

# Archify

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.

## Fast authoring path

Use this bounded path for ordinary generation. Do not read the optional Viewer Runtime reference unless the user asks about those features.

1. Choose `architecture`, `workflow`, `sequence`, `dataflow`, or `lifecycle` from the question. 2. 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. 3. 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. 4. Validate after every candidate edit and immediately before handoff:

```bash node bin/archify.mjs validate <type> <candidate.json> --quality showcase --json ```

A 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. 5. For a delivered HTML, `deliver` is the final acceptance command:

```bash node bin/archify.mjs deliver <type> <candidate.json> <output.html> --quality showcase --json ```

A 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.

## Update awareness

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.

- For `silent`, continue without mentioning the update check. - For `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`](renderers/workflow/README.md#layout-contracts).

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

Install

Run this command

npx skills add tt-a1i/archify

Works with

claude appclaude codeclaude apicursorcodexwindsurfclinezed

Manual steps

Install with `npx skills add tt-a1i/archify`, or clone the repository and copy the `archify` folder into your Claude skills directory.

View source
License: MITBy tt-a1i

Related assets

More curated picks in Data & Analytics.

skillclaude_appclaude_codeclaude_api
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/bio-research/skills/nextflow-development ~/.claude/skills/
Nextflow Development
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local F…★ 4.8 · 2,500+
skillclaude_appclaude_codeclaude_api
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/data/skills/data-context-extractor ~/.claude/skills/
Data Context Extractor
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data con…★ 4.8 · 2,500+
skillclaude_appclaude_codeclaude_api
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/bio-research/skills/instrument-data-to-allotrope ~/.claude/skills/
Instrument Data To Allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when…★ 4.8 · 2,500+
skillclaude_appclaude_codeclaude_api
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/data/skills/analyze ~/.claude/skills/
Analyze
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, compa…★ 4.8 · 2,500+
skillclaude_appclaude_codeclaude_api
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/bio-research/skills/start ~/.claude/skills/
Start
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-dis…★ 4.8 · 2,500+
skillclaude_appclaude_codeclaude_api
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/data/skills/validate-data ~/.claude/skills/
Validate Data
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checki…★ 4.8 · 2,500+

Audit before you install

Run any source through our checks - AI visibility, security, performance, and stack detection.

More in Data & Analytics