Establish ecosystem reuse and monthly-supervised improvement loop

Assistant: codex
Assistant-Model: gpt-6-astra
Assistant-Session: 01a0e241-8285-7a63-8c0c-51c9cb824dc3

registry/capabilities/capability.infotech.frontend-pattern-language.md

@@ -0,0 +1,76 @@
+---
+id: capability.infotech.frontend-pattern-language
+name: Frontend architecture pattern reference
+summary: Reason about frontend shared edits, offline recovery, navigation and rendering with versioned candidate patterns, alternatives and evidence limits.
+owner: frontend-patterns
+status: draft
+domain: infotech
+tags: [frontend, architecture, patterns, offline, mutation, recovery, navigation, rendering]
+maturity:
+  discovery:
+    current: D3
+    target: D4
+    confidence: medium
+    rationale: Two bounded decision sequences, qualified source reviews, alternatives and explicit gaps; ecosystem usefulness remains unverified.
+  availability:
+    current: A0
+    target: A0
+    confidence: high
+    rationale: Informational Markdown and JSON reference; no frontend runtime or service offered.
+external_evidence:
+  completeness:
+    level: C1
+    confidence: medium
+    basis: scope_vs_intent_and_consumer_expectations
+    satisfied_expectations: [two core decision paths and seventeen qualified candidate records]
+    broken_expectations: []
+    out_of_scope_expectations: [complete implementation recipes and production guarantees]
+  reliability:
+    level: R0
+    confidence: high
+    basis: consumer_quality_signals
+    known_reliability_risks: [no measured ecosystem consumer outcomes, full-contract recurrence unassessed]
+discovery:
+  intent: Help a consumer turn frontend constraints into a small explainable configuration and implementation questions.
+  includes: [transactional edit recovery, local offline work, candidate relations, mechanism mappings, stated abstention boundaries]
+  excludes: [complete security architecture, offline global exclusivity, framework rankings, certified production recipes]
+  assumptions: [consumer checks applicability and implementation contracts, draft hypotheses retain their evidence limits]
+  use_cases: [VC-01, VC-02]
+  research_memos: [research/reviews/M1-SeedReview.md, research/reviews/PreviewOntology-0.1.md]
+availability:
+  current_level: A0
+  target_level: A0
+  current_artifacts: [START.md, reference/0.1/index.json, reference/0.1/manifest.json]
+  target_artifacts: []
+  consumption_modes: [informational, markdown, json]
+relations:
+  depends_on: []
+  supports: []
+  related_to: []
+evidence:
+  documentation: [START.md, reference/0.1/ReleaseReview.md, docs/ReuseAndImprovementLoop.md]
+  tests: [tests/test_reference_preview.py]
+  consumer_feedback: []
+  bug_reports: []
+  incidents: []
+consumer_guidance:
+  recommended_for: [frontend architectural decision notes, reviewing shared-edit and offline-recovery assumptions]
+  not_recommended_for: [claiming canonical maturity or production guarantees, treating a match score as applicability proof]
+  known_limitations: [all candidates are hypotheses, no independent human usefulness result, use feedback automation not deployed]
+promotion_history: []
+---
+
+# Frontend architecture pattern reference
+
+Start at [the decision guide](../../START.md). Pin the reference version and packaging
+commit, inspect the candidate contracts, and cite selected IDs and unresolved conditions
+in your decision note. The [JSON export](../../reference/0.1/index.json) supports agent
+navigation; it is a research candidate surface, not an admitted canonical graph.
+
+Qualified extension hypotheses cover navigation, rendering and feature/interaction
+boundaries. Their presence does not imply a complete sequence for those contexts.
+
+The [reuse and improvement contract](../../docs/ReuseAndImprovementLoop.md) defines
+how consumer decisions and later outcomes will improve this language. Receipt collection
+and unattended improvement require WP-0008 implementation; do not imply that recording
+`reused` in registry telemetry already measures helpfulness.