Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/anima-reference-architecture/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill anima-reference-architecture. Copyright stays with the author (MIT).

Anima Reference Architecture

Overview

This architecture separates design-source intake, authenticated code generation, deterministic post-processing, and reviewed delivery. It is intended for repeatable Figma-to-code pipelines where each run is bounded to approved files and nodes, produces inspectable artifacts, and can be stopped or rolled back without exposing design content or credentials.

Prerequisites

• Define the target framework, repository layout, supported Anima/Figma SDK versions, and the owner who approves generated changes. Pin dependencies and create a sandbox Figma file with synthetic components for pipeline tests.
• Obtain Figma and Anima credentials through the deployment secret manager, using least-privilege scopes and short-lived credentials where supported. Verify webhook signatures before accepting events; never commit, print, or place tokens in generated code, cache files, pull requests, or receipts.
• Establish allowlists for Figma file IDs, node IDs, webhook sources, output repositories, and branch names. Define retention and deletion rules for source snapshots, generated output, and logs before enabling automation.
• Prepare a dry-run mode, an artifact-diff gate, a staged canary environment, and a rollback reference to the last approved generated revision. Do not allow a webhook to publish directly to production.

System Architecture

┌────────────────┐     ┌──────────────┐     ┌─────────────────┐
│  Figma Design  │────▶│ Figma API    │────▶│ Anima SDK       │
│  (Components)  │     │ (Webhooks)   │     │ (Code Gen)      │
└────────────────┘     └──────────────┘     └────────┬────────┘
                                                      │
                                            ┌─────────▼────────┐
                                            │ Post-Processing   │
                                            │ - Token mapping   │
                                            │ - Normalization   │
                                            │ - Lint/format     │
                                            └─────────┬────────┘
                                                      │
                                            ┌─────────▼────────┐
                                            │ Output            │
                                            │ - React/Vue/HTML  │
                                            │ - PR creation     │
                                            │ - Storybook sync  │
└──────────────────┘

Instructions

1. Ingest and authorize. Use Read to inspect the existing repository conventions and the signed event payload. Check the file/node allowlist, event freshness, source revision, and suppression/deletion rules before requesting any generation.
2. Generate in isolation. Run the pinned SDK in a sandbox worker with bounded concurrency and an explicit output directory. Record a request fingerprint and source revision; keep source snapshots and generated files out of logs and clean temporary material after the run.
3. Normalize and verify. Use the token mapper and normalizer deterministically, then run formatting, type checks, dependency policy checks, secret scanning, and a generated-file diff. Reject output that writes outside the allowlisted tree or contains credentials, unexpected network calls, or unapproved source data.
4. Review and deliver. Use Write/Edit only within the approved workspace, create a draft change or pull request, and require an owner review before merge. Storybook or preview publishing must target a sandbox first and must not expose private design assets.
5. Promote and recover. Promote one canary component or sandbox project, compare aggregate health and visual/regression results, and then roll out in batches. On failure, stop event consumption, restore the prior generated revision, revoke temporary credentials, delete staged artifacts according to retention policy, and record a redacted receipt.

Error Handling

• Reject unauthenticated, stale, duplicate, or out-of-scope webhook events before any API call. Return a generic status to the sender and keep detailed diagnostics restricted to the operator channel.
• Treat Figma/Anima 401 and 403 responses as configuration or authorization failures; do not retry them automatically. Treat 429 and transient 5xx/network failures with the bounded retry and rate-limit policy, using an idempotency key or request fingerprint to prevent duplicate generation.
• If post-processing, linting, type checking, or secret scanning fails, quarantine the generated tree and do not open or update a production change. Preserve only hashes, rule IDs, counts, and the rollback reference in the receipt.
• If a worker or webhook delivery fails after generation, resume from the last durable stage rather than rerunning the whole pipeline. A rollback must be tested in the sandbox and must restore both repository state and event-consumer state.
• Alert on repeated failures, scope drift, unexpected output paths, retention violations, or canary regressions. A human owner decides whether to retry, repair configuration, or disable the pipeline.

Examples

For a controlled component update, an event for file=synthetic-design-system; revision=r42; node=button-primary passes the allowlist, generates into generated/canary/, and produces a draft change containing only normalized component files. The receipt can record source_revision=r42; output_digest=sha256:opaque; checks=lint,type,secret-scan; canary=pass; production_promoted=false without storing the design payload or generated source.

For a failed canary, the pipeline records stage=storybook; reason=visual-regression; rollback=generated/r41; production_promoted=false, restores revision r41, stops further webhook consumption, and removes the staged directory after the retention check. The same sequence is the acceptance test for enabling production promotion.

Project Structure

design-to-code/
├── src/
│   ├── anima/
│   │   ├── client.ts              # Singleton SDK client
│   │   ├── cache.ts               # Generation cache
│   │   ├── retry.ts               # Error recovery
│   │   └── presets.ts             # Framework/styling presets
│   ├── pipeline/
│   │   ├── scanner.ts             # Figma component discovery
│   │   ├── generator.ts           # Batch code generation
│   │   ├── change-detector.ts     # Figma version tracking
│   │   └── runner.ts              # Pipeline orchestrator
│   ├── post-process/
│   │   ├── normalizer.ts          # Output normalization
│   │   ├── token-mapper.ts        # Design token mapping
│   │   └── organizer.ts           # File organization + barrel exports
│   ├── webhooks/
│   │   └── figma-handler.ts       # Figma webhook receiver
│   └── server.ts                  # Express API (optional)
├── scripts/
│   ├── generate-components.ts     # CLI generation script
│   └── compare-presets.ts         # Side-by-side preset comparison
├── fixtures/
│   └── component-map.json         # Figma node ID → component name mapping
├── generated/                     # Output directory (gitignored or committed)
├── .anima-cache/                  # Generation cache (gitignored)
└── package.json

Key Design Decisions

Output

• Complete design-to-code pipeline architecture
• Project structure with all components
• Design decision rationale documented

Resources

• Anima API
• Anima SDK GitHub
• Figma Webhooks
• Anima Figma Plugin

Next Steps

Start with anima-install-auth, then follow skills through production deployment.