skills/product/requirements-graph/SKILL.md
Graph-based requirements as atomic markdown files with rich frontmatter. Filesystem-as-graph: each AC is a node, directories are groupings, meta.md files are the human interface, frontmatter traces are the edges. Use when: defining requirements as a filesystem graph of atomic ACs, eliciting user stories, or laying out acceptance criteria with traceable edges.
npx skillsauth add mikeparcewski/wicked-garden wicked-garden-product-requirements-graphInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Atomic, graph-structured requirements using the filesystem. Each acceptance
criterion is a file. Each user story is a directory. Traces live in frontmatter.
meta.md files aggregate for humans.
| Monolith (old) | Graph (new) | |----------------|-------------| | 200-260 line single file | 10-30 line atomic nodes | | Duplicates stories + functional reqs | One node per concept | | Traceability in separate store | Traces in frontmatter | | Grep for coverage | FTS5 + frontmatter queries | | All-or-nothing context load | Progressive: frontmatter, meta.md, or full |
requirements/
meta.md # Project-level summary
{area}/ # Epic/feature area (kebab-case)
meta.md # Area summary + story table
{US-NNN}/ # User story directory
meta.md # Story definition + AC table
{AC-NNN}-{slug}.md # Atomic acceptance criterion
{NFR-NNN}-{slug}.md # Non-functional requirements (area-level)
_decisions/ # ADR-style decision records
{DEC-NNN}-{slug}.md
_scope.md # In/out/future scope
_risks.md # Risk register
_questions.md # Open questions
Five node types, each a small markdown file with YAML frontmatter:
| Type | Lives at | Required fields |
|------|----------|----------------|
| acceptance-criterion | {area}/{US-NNN}/{AC-NNN}-{slug}.md | id, type, priority, category, story |
| user-story | {area}/{US-NNN}/meta.md | id, type, priority, complexity, persona, status |
| area | {area}/meta.md | id, type |
| nfr | {area}/{NFR-NNN}-{slug}.md | id, type, priority, category, target |
| decision | _decisions/{DEC-NNN}-{slug}.md | id, type, status, date |
| requirements-root | meta.md | type, project, created, status |
Minimal AC (the atomic unit):
---
id: auth/US-001/AC-001
type: acceptance-criterion
priority: P0
category: happy-path
story: auth/US-001
---
Given valid credentials
When user submits login form
Then user is redirected to dashboard and session is created
12 lines. See refs/schema.md for all fields and refs/examples.md for
complete story, area, NFR, and decision examples.
Required fields (all node types):
id — path-derived slug, canonical referencetype — acceptance-criterion, user-story, area, nfr, decision, requirements-rootRequired for ACs:
priority — P0/P1/P2category — happy-path, error, edge-case, non-functionalstory — parent story slugRequired for stories:
priority, complexity, persona, statusOptional (all types):
traces — list of {target, type} objects (graph edges)tags — keyword list for searchcompliance — regulatory refs (SOC2, HIPAA, GDPR controls)Trace types (edges):
DECOMPOSES_TO — story to ACsTRACES_TO — requirement to designIMPLEMENTED_BY — AC to source codeTESTED_BY — AC to test fileVERIFIES — test result back to ACSATISFIES — evidence to requirementDEPENDS_ON — cross-story/cross-area dependencyCreate requirements/ with root meta.md, _scope.md, _questions.md:
mkdir -p requirements
# Write root meta.md, _scope.md, _risks.md, _questions.md
For each feature area, create requirements/{area}/meta.md.
For each story, create requirements/{area}/{US-NNN}/meta.md with
the As a/I want/So that definition.
For each acceptance criterion, create individual files:
requirements/{area}/{US-NNN}/{AC-NNN}-{slug}.md
Keep AC files small: Given/When/Then + frontmatter. No essays.
Update traces: frontmatter as code and tests are written.
Traces are bidirectional by convention — if AC-001 has
IMPLEMENTED_BY: src/login.ts, the navigate skill can reverse-query.
| Crew Phase | Graph Action | |------------|-------------| | clarify | Create requirements/ structure, areas, stories, ACs | | design | Add TRACES_TO links from stories to design docs | | build | Add IMPLEMENTED_BY links from ACs to code | | test | Add TESTED_BY links from ACs to test files | | review | Navigate skill generates fresh meta.md, gate checks coverage |
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).