fix(engine): prevent stock-tap from toggling HUD on Android

Every draw-from-stock tap was also firing the HUD auto-hide toggle
because the stock pile is not an ActionButton and toggle_hud_on_tap
had no way to know the tap was consumed by game logic.

Add GameInputConsumedResource(bool): handle_touch_stock_tap sets it
on TouchPhase::Started when a draw fires; toggle_hud_on_tap checks
and clears it on TouchPhase::Ended, treating it as equivalent to
started_on_button so the HUD stays put.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.claude-flow/.gitignore

@@ -1,7 +0,0 @@
-# Claude Flow runtime files
-data/
-logs/
-sessions/
-neural/
-*.log
-*.tmp

.claude-flow/CAPABILITIES.md

@@ -1,403 +0,0 @@
-# RuFlo V3 - Complete Capabilities Reference
-> Generated: 2026-05-19T00:18:20.864Z
-> Full documentation: https://github.com/ruvnet/claude-flow
-
-## 📋 Table of Contents
-
-1. [Overview](#overview)
-2. [Swarm Orchestration](#swarm-orchestration)
-3. [Available Agents (60+)](#available-agents)
-4. [CLI Commands (26 Commands, 140+ Subcommands)](#cli-commands)
-5. [Hooks System (27 Hooks + 12 Workers)](#hooks-system)
-6. [Memory & Intelligence (RuVector)](#memory--intelligence)
-7. [Hive-Mind Consensus](#hive-mind-consensus)
-8. [Performance Targets](#performance-targets)
-9. [Integration Ecosystem](#integration-ecosystem)
-
----
-
-## Overview
-
-RuFlo V3 is a domain-driven design architecture for multi-agent AI coordination with:
-
-- **15-Agent Swarm Coordination** with hierarchical and mesh topologies
-- **HNSW Vector Search** - 150x-12,500x faster pattern retrieval
-- **SONA Neural Learning** - Self-optimizing with <0.05ms adaptation
-- **Byzantine Fault Tolerance** - Queen-led consensus mechanisms
-- **MCP Server Integration** - Model Context Protocol support
-
-### Current Configuration
-| Setting | Value |
-|---------|-------|
-| Topology | hierarchical-mesh |
-| Max Agents | 15 |
-| Memory Backend | hybrid |
-| HNSW Indexing | Enabled |
-| Neural Learning | Enabled |
-| LearningBridge | Enabled (SONA + ReasoningBank) |
-| Knowledge Graph | Enabled (PageRank + Communities) |
-| Agent Scopes | Enabled (project/local/user) |
-
----
-
-## Swarm Orchestration
-
-### Topologies
-| Topology | Description | Best For |
-|----------|-------------|----------|
-| `hierarchical` | Queen controls workers directly | Anti-drift, tight control |
-| `mesh` | Fully connected peer network | Distributed tasks |
-| `hierarchical-mesh` | V3 hybrid (recommended) | 10+ agents |
-| `ring` | Circular communication | Sequential workflows |
-| `star` | Central coordinator | Simple coordination |
-| `adaptive` | Dynamic based on load | Variable workloads |
-
-### Strategies
-- `balanced` - Even distribution across agents
-- `specialized` - Clear roles, no overlap (anti-drift)
-- `adaptive` - Dynamic task routing
-
-### Quick Commands
-```bash
-# Initialize swarm
-npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 8 --strategy specialized
-
-# Check status
-npx @claude-flow/cli@latest swarm status
-
-# Monitor activity
-npx @claude-flow/cli@latest swarm monitor
-```
-
----
-
-## Available Agents
-
-### Core Development (5)
-`coder`, `reviewer`, `tester`, `planner`, `researcher`
-
-### V3 Specialized (4)
-`security-architect`, `security-auditor`, `memory-specialist`, `performance-engineer`
-
-### Swarm Coordination (5)
-`hierarchical-coordinator`, `mesh-coordinator`, `adaptive-coordinator`, `collective-intelligence-coordinator`, `swarm-memory-manager`
-
-### Consensus & Distributed (7)
-`byzantine-coordinator`, `raft-manager`, `gossip-coordinator`, `consensus-builder`, `crdt-synchronizer`, `quorum-manager`, `security-manager`
-
-### Performance & Optimization (5)
-`perf-analyzer`, `performance-benchmarker`, `task-orchestrator`, `memory-coordinator`, `smart-agent`
-
-### GitHub & Repository (9)
-`github-modes`, `pr-manager`, `code-review-swarm`, `issue-tracker`, `release-manager`, `workflow-automation`, `project-board-sync`, `repo-architect`, `multi-repo-swarm`
-
-### SPARC Methodology (6)
-`sparc-coord`, `sparc-coder`, `specification`, `pseudocode`, `architecture`, `refinement`
-
-### Specialized Development (8)
-`backend-dev`, `mobile-dev`, `ml-developer`, `cicd-engineer`, `api-docs`, `system-architect`, `code-analyzer`, `base-template-generator`
-
-### Testing & Validation (2)
-`tdd-london-swarm`, `production-validator`
-
-### Agent Routing by Task
-| Task Type | Recommended Agents | Topology |
-|-----------|-------------------|----------|
-| Bug Fix | researcher, coder, tester | mesh |
-| New Feature | coordinator, architect, coder, tester, reviewer | hierarchical |
-| Refactoring | architect, coder, reviewer | mesh |
-| Performance | researcher, perf-engineer, coder | hierarchical |
-| Security | security-architect, auditor, reviewer | hierarchical |
-| Docs | researcher, api-docs | mesh |
-
----
-
-## CLI Commands
-
-### Core Commands (12)
-| Command | Subcommands | Description |
-|---------|-------------|-------------|
-| `init` | 4 | Project initialization |
-| `agent` | 8 | Agent lifecycle management |
-| `swarm` | 6 | Multi-agent coordination |
-| `memory` | 11 | AgentDB with HNSW search |
-| `mcp` | 9 | MCP server management |
-| `task` | 6 | Task assignment |
-| `session` | 7 | Session persistence |
-| `config` | 7 | Configuration |
-| `status` | 3 | System monitoring |
-| `workflow` | 6 | Workflow templates |
-| `hooks` | 17 | Self-learning hooks |
-| `hive-mind` | 6 | Consensus coordination |
-
-### Advanced Commands (14)
-| Command | Subcommands | Description |
-|---------|-------------|-------------|
-| `daemon` | 5 | Background workers |
-| `neural` | 5 | Pattern training |
-| `security` | 6 | Security scanning |
-| `performance` | 5 | Profiling & benchmarks |
-| `providers` | 5 | AI provider config |
-| `plugins` | 5 | Plugin management |
-| `deployment` | 5 | Deploy management |
-| `embeddings` | 4 | Vector embeddings |
-| `claims` | 4 | Authorization |
-| `migrate` | 5 | V2→V3 migration |
-| `process` | 4 | Process management |
-| `doctor` | 1 | Health diagnostics |
-| `completions` | 4 | Shell completions |
-
-### Example Commands
-```bash
-# Initialize
-npx @claude-flow/cli@latest init --wizard
-
-# Spawn agent
-npx @claude-flow/cli@latest agent spawn -t coder --name my-coder
-
-# Memory operations
-npx @claude-flow/cli@latest memory store --key "pattern" --value "data" --namespace patterns
-npx @claude-flow/cli@latest memory search --query "authentication"
-
-# Diagnostics
-npx @claude-flow/cli@latest doctor --fix
-```
-
----
-
-## Hooks System
-
-### 27 Available Hooks
-
-#### Core Hooks (6)
-| Hook | Description |
-|------|-------------|
-| `pre-edit` | Context before file edits |
-| `post-edit` | Record edit outcomes |
-| `pre-command` | Risk assessment |
-| `post-command` | Command metrics |
-| `pre-task` | Task start + agent suggestions |
-| `post-task` | Task completion learning |
-
-#### Session Hooks (4)
-| Hook | Description |
-|------|-------------|
-| `session-start` | Start/restore session |
-| `session-end` | Persist state |
-| `session-restore` | Restore previous |
-| `notify` | Cross-agent notifications |
-
-#### Intelligence Hooks (5)
-| Hook | Description |
-|------|-------------|
-| `route` | Optimal agent routing |
-| `explain` | Routing decisions |
-| `pretrain` | Bootstrap intelligence |
-| `build-agents` | Generate configs |
-| `transfer` | Pattern transfer |
-
-#### Coverage Hooks (3)
-| Hook | Description |
-|------|-------------|
-| `coverage-route` | Coverage-based routing |
-| `coverage-suggest` | Improvement suggestions |
-| `coverage-gaps` | Gap analysis |
-
-### 12 Background Workers
-| Worker | Priority | Purpose |
-|--------|----------|---------|
-| `ultralearn` | normal | Deep knowledge |
-| `optimize` | high | Performance |
-| `consolidate` | low | Memory consolidation |
-| `predict` | normal | Predictive preload |
-| `audit` | critical | Security |
-| `map` | normal | Codebase mapping |
-| `preload` | low | Resource preload |
-| `deepdive` | normal | Deep analysis |
-| `document` | normal | Auto-docs |
-| `refactor` | normal | Suggestions |
-| `benchmark` | normal | Benchmarking |
-| `testgaps` | normal | Coverage gaps |
-
----
-
-## Memory & Intelligence
-
-### RuVector Intelligence System
-- **SONA**: Self-Optimizing Neural Architecture (<0.05ms)
-- **MoE**: Mixture of Experts routing
-- **HNSW**: 150x-12,500x faster search
-- **EWC++**: Prevents catastrophic forgetting
-- **Flash Attention**: 2.49x-7.47x speedup
-- **Int8 Quantization**: 3.92x memory reduction
-
-### 4-Step Intelligence Pipeline
-1. **RETRIEVE** - HNSW pattern search
-2. **JUDGE** - Success/failure verdicts
-3. **DISTILL** - LoRA learning extraction
-4. **CONSOLIDATE** - EWC++ preservation
-
-### Self-Learning Memory (ADR-049)
-
-| Component | Status | Description |
-|-----------|--------|-------------|
-| **LearningBridge** | ✅ Enabled | Connects insights to SONA/ReasoningBank neural pipeline |
-| **MemoryGraph** | ✅ Enabled | PageRank knowledge graph + community detection |
-| **AgentMemoryScope** | ✅ Enabled | 3-scope agent memory (project/local/user) |
-
-**LearningBridge** - Insights trigger learning trajectories. Confidence evolves: +0.03 on access, -0.005/hour decay. Consolidation runs the JUDGE/DISTILL/CONSOLIDATE pipeline.
-
-**MemoryGraph** - Builds a knowledge graph from entry references. PageRank identifies influential insights. Communities group related knowledge. Graph-aware ranking blends vector + structural scores.
-
-**AgentMemoryScope** - Maps Claude Code 3-scope directories:
-- `project`: `<gitRoot>/.claude/agent-memory/<agent>/`
-- `local`: `<gitRoot>/.claude/agent-memory-local/<agent>/`
-- `user`: `~/.claude/agent-memory/<agent>/`
-
-High-confidence insights (>0.8) can transfer between agents.
-
-### Memory Commands
-```bash
-# Store pattern
-npx @claude-flow/cli@latest memory store --key "name" --value "data" --namespace patterns
-
-# Semantic search
-npx @claude-flow/cli@latest memory search --query "authentication"
-
-# List entries
-npx @claude-flow/cli@latest memory list --namespace patterns
-
-# Initialize database
-npx @claude-flow/cli@latest memory init --force
-```
-
----
-
-## Hive-Mind Consensus
-
-### Queen Types
-| Type | Role |
-|------|------|
-| Strategic Queen | Long-term planning |
-| Tactical Queen | Execution coordination |
-| Adaptive Queen | Dynamic optimization |
-
-### Worker Types (8)
-`researcher`, `coder`, `analyst`, `tester`, `architect`, `reviewer`, `optimizer`, `documenter`
-
-### Consensus Mechanisms
-| Mechanism | Fault Tolerance | Use Case |
-|-----------|-----------------|----------|
-| `byzantine` | f < n/3 faulty | Adversarial |
-| `raft` | f < n/2 failed | Leader-based |
-| `gossip` | Eventually consistent | Large scale |
-| `crdt` | Conflict-free | Distributed |
-| `quorum` | Configurable | Flexible |
-
-### Hive-Mind Commands
-```bash
-# Initialize
-npx @claude-flow/cli@latest hive-mind init --queen-type strategic
-
-# Status
-npx @claude-flow/cli@latest hive-mind status
-
-# Spawn workers
-npx @claude-flow/cli@latest hive-mind spawn --count 5 --type worker
-
-# Consensus
-npx @claude-flow/cli@latest hive-mind consensus --propose "task"
-```
-
----
-
-## Performance Targets
-
-| Metric | Target | Status |
-|--------|--------|--------|
-| HNSW Search | 150x-12,500x faster | ✅ Implemented |
-| Memory Reduction | 50-75% | ✅ Implemented (3.92x) |
-| SONA Integration | Pattern learning | ✅ Implemented |
-| Flash Attention | 2.49x-7.47x | 🔄 In Progress |
-| MCP Response | <100ms | ✅ Achieved |
-| CLI Startup | <500ms | ✅ Achieved |
-| SONA Adaptation | <0.05ms | 🔄 In Progress |
-| Graph Build (1k) | <200ms | ✅ 2.78ms (71.9x headroom) |
-| PageRank (1k) | <100ms | ✅ 12.21ms (8.2x headroom) |
-| Insight Recording | <5ms/each | ✅ 0.12ms (41x headroom) |
-| Consolidation | <500ms | ✅ 0.26ms (1,955x headroom) |
-| Knowledge Transfer | <100ms | ✅ 1.25ms (80x headroom) |
-
----
-
-## Integration Ecosystem
-
-### Integrated Packages
-| Package | Version | Purpose |
-|---------|---------|---------|
-| agentic-flow | 3.0.0-alpha.1 | Core coordination + ReasoningBank + Router |
-| agentdb | 3.0.0-alpha.10 | Vector database + 8 controllers |
-| @ruvector/attention | 0.1.3 | Flash attention |
-| @ruvector/sona | 0.1.5 | Neural learning |
-
-### Optional Integrations
-| Package | Command |
-|---------|---------|
-| ruv-swarm | `npx ruv-swarm mcp start` |
-| flow-nexus | `npx flow-nexus@latest mcp start` |
-| agentic-jujutsu | `npx agentic-jujutsu@latest` |
-
-### MCP Server Setup
-```bash
-# Add Ruflo MCP
-claude mcp add ruflo -- npx -y ruflo@latest
-
-# Optional servers
-claude mcp add ruv-swarm -- npx -y ruv-swarm mcp start
-claude mcp add flow-nexus -- npx -y flow-nexus@latest mcp start
-```
-
----
-
-## Quick Reference
-
-### Essential Commands
-```bash
-# Setup
-npx ruflo@latest init --wizard
-npx ruflo@latest daemon start
-npx ruflo@latest doctor --fix
-
-# Swarm
-npx ruflo@latest swarm init --topology hierarchical --max-agents 8
-npx ruflo@latest swarm status
-
-# Agents
-npx ruflo@latest agent spawn -t coder
-npx ruflo@latest agent list
-
-# Memory
-npx ruflo@latest memory search --query "patterns"
-
-# Hooks
-npx ruflo@latest hooks pre-task --description "task"
-npx ruflo@latest hooks worker dispatch --trigger optimize
-```
-
-### File Structure
-```
-.claude-flow/
-├── config.yaml      # Runtime configuration
-├── CAPABILITIES.md  # This file
-├── data/            # Memory storage
-├── logs/            # Operation logs
-├── sessions/        # Session state
-├── hooks/           # Custom hooks
-├── agents/          # Agent configs
-└── workflows/       # Workflow templates
-```
-
----
-
-**Full Documentation**: https://github.com/ruvnet/claude-flow
-**Issues**: https://github.com/ruvnet/claude-flow/issues

.claude-flow/config.yaml

@@ -1,43 +0,0 @@
-# RuFlo V3 Runtime Configuration
-# Generated: 2026-05-19T00:18:20.863Z
-
-version: "3.0.0"
-
-swarm:
-  topology: hierarchical-mesh
-  maxAgents: 15
-  autoScale: true
-  coordinationStrategy: consensus
-
-memory:
-  backend: hybrid
-  enableHNSW: true
-  persistPath: .claude-flow/data
-  cacheSize: 100
-  # ADR-049: Self-Learning Memory
-  learningBridge:
-    enabled: true
-    sonaMode: balanced
-    confidenceDecayRate: 0.005
-    accessBoostAmount: 0.03
-    consolidationThreshold: 10
-  memoryGraph:
-    enabled: true
-    pageRankDamping: 0.85
-    maxNodes: 5000
-    similarityThreshold: 0.8
-  agentScopes:
-    enabled: true
-    defaultScope: project
-
-neural:
-  enabled: true
-  modelPath: .claude-flow/neural
-
-hooks:
-  enabled: true
-  autoExecute: true
-
-mcp:
-  autoStart: false
-  port: 3000

.claude-flow/metrics/learning.json

@@ -1,17 +0,0 @@
-{
-  "initialized": "2026-05-19T00:18:20.864Z",
-  "routing": {
-    "accuracy": 0,
-    "decisions": 0
-  },
-  "patterns": {
-    "shortTerm": 0,
-    "longTerm": 0,
-    "quality": 0
-  },
-  "sessions": {
-    "total": 0,
-    "current": null
-  },
-  "_note": "Intelligence grows as you use Ruflo"
-}

.claude-flow/metrics/swarm-activity.json

@@ -1,18 +0,0 @@
-{
-  "timestamp": "2026-05-19T00:18:20.864Z",
-  "processes": {
-    "agentic_flow": 0,
-    "mcp_server": 0,
-    "estimated_agents": 0
-  },
-  "swarm": {
-    "active": false,
-    "agent_count": 0,
-    "coordination_active": false
-  },
-  "integration": {
-    "agentic_flow_active": false,
-    "mcp_active": false
-  },
-  "_initialized": true
-}

.claude-flow/metrics/v3-progress.json

@@ -1,26 +0,0 @@
-{
-  "version": "3.0.0",
-  "initialized": "2026-05-19T00:18:20.864Z",
-  "domains": {
-    "completed": 0,
-    "total": 5,
-    "status": "INITIALIZING"
-  },
-  "ddd": {
-    "progress": 0,
-    "modules": 0,
-    "totalFiles": 0,
-    "totalLines": 0
-  },
-  "swarm": {
-    "activeAgents": 0,
-    "maxAgents": 15,
-    "topology": "hierarchical-mesh"
-  },
-  "learning": {
-    "status": "READY",
-    "patternsLearned": 0,
-    "sessionsCompleted": 0
-  },
-  "_note": "Metrics will update as you use Ruflo. Run: npx ruflo@latest daemon start"
-}

.claude-flow/security/audit-status.json

@@ -1,8 +0,0 @@
-{
-  "initialized": "2026-05-19T00:18:20.864Z",
-  "status": "PENDING",
-  "cvesFixed": 0,
-  "totalCves": 3,
-  "lastScan": null,
-  "_note": "Run: npx @claude-flow/cli@latest security scan"
-}

.mcp.json

@@ -1,22 +0,0 @@
-{
-  "mcpServers": {
-    "ruflo": {
-      "command": "npx",
-      "args": [
-        "-y",
-        "ruflo@latest",
-        "mcp",
-        "start"
-      ],
-      "env": {
-        "npm_config_update_notifier": "false",
-        "CLAUDE_FLOW_MODE": "v3",
-        "CLAUDE_FLOW_HOOKS_ENABLED": "true",
-        "CLAUDE_FLOW_TOPOLOGY": "hierarchical-mesh",
-        "CLAUDE_FLOW_MAX_AGENTS": "15",
-        "CLAUDE_FLOW_MEMORY_BACKEND": "hybrid"
-      },
-      "autoStart": false
-    }
-  }
-}

deploy/kustomization.yaml

@@ -20,4 +20,4 @@ resources:
 images:
 - name: solitaire-server
   newName: git.aleshym.co/funman300/solitaire-server
-  newTag: 83c40116
+  newTag: eb6c93fb

solitaire_server/web/game.js

@@ -300,7 +300,6 @@ function render(s) {
     board.querySelectorAll(".card.drop-target").forEach(e => e.classList.remove("drop-target"));
 
     if (s.is_auto_completable && !s.is_won && !acTimer) {
-        stopTimer(); // freeze elapsed time at the moment the player's last move completes
         acTimer = setInterval(doAutoCompleteStep, 380);
     }
     if (s.is_won) {

solitaire_server/web/pkg/solitaire_wasm.js

@@ -40,32 +40,20 @@ export class ReplayPlayer {
     }
     /**
      * Snapshot the current `GameState` as a JS object (see `StateSnapshot`).
-     *
-     * Throws a JS string exception on serialisation failure (should never
-     * occur in practice — `StateSnapshot` contains only primitive types).
      * @returns {any}
      */
     state() {
         const ret = wasm.replayplayer_state(this.__wbg_ptr);
-        if (ret[2]) {
+        return ret;
-            throw takeFromExternrefTable0(ret[1]);
-        }
-        return takeFromExternrefTable0(ret[0]);
     }
     /**
      * Apply the next move; returns the post-step snapshot, or `null`
      * once the move list is exhausted.
-     *
-     * Returns `null` (not an exception) when the replay is finished.
-     * Throws a JS string exception on serialisation failure.
      * @returns {any}
      */
     step() {
         const ret = wasm.replayplayer_step(this.__wbg_ptr);
-        if (ret[2]) {
+        return ret;
-            throw takeFromExternrefTable0(ret[1]);
-        }
-        return takeFromExternrefTable0(ret[0]);
     }
     /**
      * 0-indexed position of the next move to apply.
@@ -169,16 +157,11 @@ export class SolitaireGame {
     }
     /**
      * Full pile snapshot as a JS object.
-     *
-     * Throws a JS string exception on serialisation failure.
      * @returns {any}
      */
     state() {
         const ret = wasm.solitairegame_state(this.__wbg_ptr);
-        if (ret[2]) {
+        return ret;
-            throw takeFromExternrefTable0(ret[1]);
-        }
-        return takeFromExternrefTable0(ret[0]);
     }
     /**
      * Undo the last move. Returns `{ok, error?, snapshot?}`.
@@ -197,13 +180,6 @@ function __wbg_get_imports() {
             const ret = Error(getStringFromWasm0(arg0, arg1));
             return ret;
         },
-        __wbg_String_8564e559799eccda: function(arg0, arg1) {
-            const ret = String(arg1);
-            const ptr1 = passStringToWasm0(ret, wasm.__wbindgen_malloc, wasm.__wbindgen_realloc);
-            const len1 = WASM_VECTOR_LEN;
-            getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true);
-            getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true);
-        },
         __wbg___wbindgen_throw_9c75d47bf9e7731e: function(arg0, arg1) {
             throw new Error(getStringFromWasm0(arg0, arg1));
         },