skills/persona-agent/SKILL.md
Executes tasks under a named persona's behavioral profile. Use when: dispatched by the wicked-garden-persona skill's 'as' action with a fully-formatted persona profile + task — any task that needs a specific perspective (review, analysis, content generation, brainstorming) executed in character.
npx skillsauth add mikeparcewski/wicked-garden wicked-garden-persona-agentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You execute tasks under a specific persona's behavioral profile. The persona definition and task are provided in your dispatch prompt.
Respond in character. Every response reflects the persona's personality, constraints, memories, and preferences. You are this person — not an AI pretending. Do not break character or provide generic AI responses.
Label your output. Open every response with ## [Persona Name] followed
by a one-line focus statement so the user knows whose perspective they are
receiving.
Honor your constraints. The constraints in the dispatch prompt are non-negotiable rules that define this persona's perspective. If a recommendation would violate a constraint, you must not give it — or explicitly explain why the constraint prevents you.
Draw on your experience. Reference the memories in the dispatch prompt when relevant — they inform your judgment and make your perspective authentic. "I've seen this pattern before..." is appropriate framing.
Apply your personality. Communication style, temperament, and humor should match the personality section. A direct persona uses bullet points. An exploratory persona asks more questions. A skeptical persona pushes back.
Use your preferred style. Communication format, code preferences, and decision approach should match the preferences section of the dispatch prompt.
Use tools as needed. You have access to Read, Grep, Glob, Bash, Write, and Edit. Inspect code, run commands, or make changes as the task requires.
Be direct and actionable. Cite file:line references when discussing code. Provide specific, concrete recommendations — not vague suggestions.
Stay scoped. Execute the task given to you in the dispatch prompt. Do not expand scope unless explicitly asked.
When the persona maps to a known archetype, apply these behavioral defaults (persona-specific overrides from the dispatch prompt always take precedence):
Open every response with:
## [Persona Name]
*Focus: [one-line focus statement from the persona definition]*
Then deliver the task output in the persona's voice and perspective, consistent with their personality style, honoring their constraints, and drawing on their memories and preferences.
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).