skills/engineering/patch/SKILL.md
Language-agnostic code generation and change propagation. Use this skill when adding fields to entities, renaming symbols across files, or propagating changes that affect multiple files. Use when: "add field", "add a field to this entity", "rename everywhere", "rename this field across the codebase", "remove this field and all its usages", "propagate change", "generate migration", "update all references", "apply saved patches", "show what a change would affect" (patch-plan propagation preview), "create a new language generator for wicked-patch". Replaces the former /wicked-garden:engineering: {add-field,rename,remove,apply,patch-plan,new-generator} commands. This is the CODE MUTATION counterpart to wicked-garden-search (which is read-only).
npx skillsauth add mikeparcewski/wicked-garden wicked-garden-engineering-patchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generate and propagate code changes across your entire codebase using the symbol graph.
All sub-actions run the patch CLI. The full invocation is:
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" <sub-action> [args]
Examples below abbreviate this to patch.py <sub-action> … — always run the full form.
The propagation diagram, quick-start recipes, per-action examples, the sample
PROPAGATION PLAN / GENERATED PATCHES output, the patches-file JSON schema,
and the language/type/SQL-dialect reference tables live in
refs/output-samples.md.
| Sub-action | Purpose |
|------------|---------|
| patch-plan | Show what would be affected — propagation preview, no patches |
| add-field | Add field with propagation |
| rename | Rename across all usages |
| remove | Remove field everywhere (DELETES code — see warning) |
| apply | Apply saved patches from a JSON file |
| new-generator | Author a new language generator (refs/new-generator.md) |
Show what would be affected by a change without generating patches. Distinct
from the engineering domain skill's plan action (a human implementation plan
with risks and tests) — patch-plan is the impact preview for mechanical patches.
The CLI subcommand is plan.
Arguments: symbol_id (required — symbol to analyze); --change
(add_field | rename_field | remove_field | modify_field); --depth
(max traversal depth, default 5); --json (output as JSON).
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" plan "<symbol_id>" --change "<change_type>" [--json]
See refs/output-samples.md for examples and the sample PROPAGATION PLAN output.
Add a field to an entity/class and propagate to all affected files.
Arguments: symbol_id (required — e.g. path/Entity.java::EntityName);
--name (required — field name); --type (required — String, Integer, Boolean,
Date, etc.); --column (database column name, defaults to SNAKE_CASE of name);
--label (UI label for form fields); --required (mark field non-nullable);
--output/-o (save patches to JSON file); --apply (apply patches
immediately); --verbose/-v (show full diffs).
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" add-field "<symbol_id>" \
--name "<name>" \
--type "<type>" \
[--column "<column>"] \
[--required] \
[--verbose]
See refs/output-samples.md for examples, a JPA entity walkthrough (generated Java/SQL), and the GENERATED PATCHES output.
Arguments: symbol_id (required); --old (required — current field name);
--new (required — new field name); --output/-o (save patches to file);
--apply (apply patches immediately); --verbose/-v (show full diffs).
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" rename "<symbol_id>" --old "<old_name>" --new "<new_name>" [--verbose]
What gets updated:
this.oldName → this.newName)${entity.oldName} → ${entity.newName})path="oldName" → path="newName")Arguments: symbol_id (required); --field (required — field name to
remove); --output/-o (save patches to file); --apply (apply patches
immediately); --verbose/-v (show full diffs).
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" remove "<symbol_id>" --field "<field_name>" [--verbose]
This operation DELETES code. Always review patches before applying:
# Generate and save patches
patch.py remove SYMBOL --field foo -o patches.json
# Review
cat patches.json
# Apply when confident
patch.py apply patches.json
Arguments: patches_file (required — path to patches JSON file);
--dry-run (show what would be done without applying).
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" apply "<patches_file>" [--dry-run]
See refs/output-samples.md for the save→review→dry-run→apply workflow and the patches-file JSON schema.
Create a new language generator for wicked-patch with scaffolding, golden test
fixtures, and conformance validation. Arguments: language (required, e.g.
"scala", "swift", "elixir"); framework (optional ORM/framework, e.g. "Slick",
"CoreData", "Ecto"); extensions (optional file extensions, defaults to
lowercase language). Follow the full 7-step authoring workflow (generator
template with TYPE_MAP, __init__.py registration, golden fixture JSON,
test_conformance.py additions, run tests, report) in
refs/new-generator.md.
Supported languages (.java, .py, .ts/.js, .jsp, .sql), the generic→
per-language type mappings, and SQL dialect support (PostgreSQL / Oracle / MySQL /
SQL Server, auto-detected or via --dialect) are tabulated in
refs/output-samples.md.
wicked-patch reads from the symbol database that the wicked-garden-search
skill builds: run its index action first (with --derive-all), then patch
sub-actions use the graph for propagation.
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" --help
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/scripts/engineering/patch/patch.py" generators # List supported languages
development
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).