skills/crew/explain/SKILL.md
Translate jargon-heavy crew output into plain language. Input is typically a gate finding, reviewer brief, phase summary, or process plan containing specialist vocab (RED, BLOCK, convergence, blast radius, parallelization_check, CONDITIONAL, BLEND rule, etc.). Output is 2-4 sentences at a grade-8 reading level with no specialist vocab left behind. Use when: "explain this", "in plain English", "what does this mean", "translate for me", "simplify", "dumb this down", or any request to render crew jargon into language a non-practitioner can act on. Also used automatically by the orchestrator when `crew.output_style = paired` or `plain-only` — the skill produces the `**Plain:**` line.
npx skillsauth add mikeparcewski/wicked-garden explainInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Convert crew output to plain language. Grade-8 reading level. No jargon.
crew.output_style)The skill supports three modes set by crew.output_style in project config:
| Mode | Behavior |
|------|----------|
| paired (default) | Keep the original jargon block, append **Plain:** line |
| terse | Jargon only — skill is not invoked |
| plain-only | Replace jargon entirely with the plain-language version |
When invoked by the orchestrator, it passes the current mode in the prompt.
When invoked directly by a user, default to plain-only.
crew.output_style.Input (jargon):
Gate: code-quality — verdict: CONDITIONAL (score 0.62, min 0.70)
per_reviewer_verdicts:
- senior-engineer: CONDITIONAL — "god function in handler.py:process()"
- security-engineer: APPROVE
conditions-manifest.json written with 1 condition.
Output:
Gate: code-quality — verdict: CONDITIONAL (score 0.62, min 0.70)
per_reviewer_verdicts:
- senior-engineer: CONDITIONAL — "god function in handler.py:process()"
- security-engineer: APPROVE
conditions-manifest.json written with 1 condition.
**Plain:** One reviewer flagged that `handler.py` has a giant function that
does too much. Security was fine. Split the function into smaller pieces,
then re-run the gate to clear the finding before moving to the next phase.
Input (jargon): same as above.
Output:
One reviewer flagged that `handler.py` has a giant function that does too
much. Security was fine. Split the function into smaller pieces, then re-run
the gate to clear the finding before moving to the next phase.
Project-level configuration lives in the orchestrator config under
crew.output_style:
{
"crew": {
"output_style": "paired"
}
}
Valid values: terse | paired | plain-only. Default: paired.
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).