skills/product/imagery/SKILL.md
Visual asset lifecycle management — analysis, generation, modification, and review. Three sub-skills cover the full creative pipeline with provider abstraction. Use when: generating, editing, analyzing, or reviewing an image — routes to the appropriate sub-skill (create / alter / review).
npx skillsauth add mikeparcewski/wicked-garden wicked-garden-product-imageryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Manage the full lifecycle of visual assets through three specialized sub-skills. Each sub-skill handles a distinct phase of creative work, from analysis through generation to iterative refinement.
| Sub-Skill | Purpose | Provider Required | |-----------|---------|-------------------| | review | Image analysis and quality review | None (reads image files directly) | | create | Text-to-image generation | Any provider (see below) | | alter | Image modification (img2img, inpainting) | Any provider (see below) |
Every visual task follows this iterative cycle until the output matches requirements:
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ ANALYZE │────>│ EXECUTE │────>│ REVIEW │────>│ REFINE │
│ (review)│ │(create/ │ │(review) │ │ (alter) │
│ │ │ alter) │ │ │ │ │
└─────────┘ └─────────┘ └─────────┘ └────┬────┘
^ │
└────────────────────────────────────────────────┘
The imagery skill uses a provider abstraction layer. Review works without any provider. Create and alter require at least one:
# Check available providers
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/skills/product/imagery/scripts/provider.py" detect
| Provider | How to Enable |
|----------|---------------|
| cstudio | Install CLI binary, set GOOGLE_CLOUD_PROJECT |
| vertex-curl | gcloud auth login, set GOOGLE_CLOUD_PROJECT |
| openai | Set OPENAI_API_KEY |
| stability | Set STABILITY_API_KEY |
| replicate | Set REPLICATE_API_TOKEN |
Read the image file → apply review sub-skill analysis lenses
Describe requirements → create sub-skill generates → review sub-skill validates
Review identifies issues → alter sub-skill applies changes → review validates
review/refs/analysis-lenses.md — Four analysis lenses (general, technical, style, layout)review/refs/quality-gates.md — Four quality gates (brand, a11y, production, sensitivity)create/refs/provider-reference.md — Provider APIs and configurationcreate/refs/prompt-engineering.md — Crafting effective promptsalter/refs/editing-reference.md — Modification patterns, provider commands, refinement strategiesdevelopment
Pattern-conformance agent-half: evaluates a produced artifact or diff against a set of architectural/design pattern rules from the conformance-rule store (wicked_governance schema). Returns structured findings with rule ID, severity, and rationale — the deterministic half (mechanical rule recall) is done by the guard pipeline; this is the semantic evaluation step. Triggered by: the guard_pipeline `outgov_pattern` check (session-close), or explicitly by an engineering review when WICKED_OUTGOV_RULES_DIR is populated. NOT a replacement for the full `engineering` review skill — focuses only on conformance to stored Pattern rules; architecture and code-quality checks live in the `engineering` skill. Semantic evaluation reuses `wicked-garden-qe-semantic-reviewer` as the designated agent-half evaluator (per garden#983 spec). This skill is the orchestrating wrapper that loads applicable Pattern rules and delegates the per-rule semantic judgment to qe-semantic-reviewer.
tools
The FOUNDATIONAL domain-model capability: extract a codebase's domain — testable business rules (with confidence + provenance), entities, requirements — as a schema-conformant model on the estate graph. The workers annotate the store; wicked-core reads it and builds the requirements graph, coverage-gating fail-closed. Steers three fork workers. A shared substrate, not a modernization tool. The `modernize` archetype DERIVES from it; build / migrate / review / specify / explore consume the SAME domain model — none OWN it. Understanding a codebase's domain is upstream of almost everything else garden does. Use when: "extract the business rules / domain model from this codebase", "build a requirements graph from the code", "what does this system actually require", "reverse-engineer the domain before we build/port/migrate". Works on ANY codebase (modern or legacy) — the value is the domain model, not the porting. NOT the code transform itself (that is the archetype consuming this model). This skill produces the DOMAIN MODEL, not new code.
development
Domain-graph fork worker for the modernize archetype. Groups the estate's Louvain communities into business domains, attaches each requirement to its cluster (advisory cluster_id provenance), and invokes wicked-core's domain-graph build (which reads the annotated estate store, recomputes coverage fail-closed, and builds the requirements graph) — then validates core's output against the vendored schema. Use when: dispatched by wicked-garden-domain after rule extraction to turn a flat rule set into cluster-keyed domains; "group these into domains", "build the requirements graph", "translate clusters into a domain model". NOT for mining the rules themselves (that is domain-extractor) or threat-modeling (that is domain-coverage).
tools
Rule-extraction fork worker for the FOUNDATIONAL domain-model capability. Mines testable business rules from a codebase — each with a numeric confidence and a provenance{source, ref, source_kinds} — and annotates them into the estate store so wicked-core can build the domain-model requirements graph (coverage-gated). This is a substrate, not a modernization tool: the `modernize` archetype DERIVES from it, and build / migrate / review / specify / explore can consume the same domain model — none OWN it. Use when: dispatched by wicked-garden-domain to mine the business_rules of a codebase (or a module); "extract the domain rules", "what does this system require", building the requirements half of a domain model. NOT for grouping into domains (that is domain-modeler) or judging coverage (that is domain-coverage — a seat-distinct evaluator).