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          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
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    "steps": [
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      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
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      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
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    "sections": [
      {
        "title": "Memory System v2.0",
        "body": "Fast semantic memory for AI agents with JSON indexing and sub-20ms search."
      },
      {
        "title": "Overview",
        "body": "Memory System v2.0 is a lightweight, file-based memory system designed for AI agents that need to:\n\nRemember learnings, decisions, insights, events, and interactions across sessions\nSearch memories semantically in <20ms\nAuto-consolidate daily memories into weekly summaries\nTrack importance and context for better recall\n\nBuilt in pure bash + jq. No databases required."
      },
      {
        "title": "Features",
        "body": "⚡ Fast Search: <20ms average search time (36 tests passed)\n🧠 Semantic Memory: Capture 5 types of memories (learning, decision, insight, event, interaction)\n📊 Importance Scoring: 1-10 scale for memory prioritization\n🏷️ Tagging System: Organize memories with tags\n📝 Context Tracking: Remember what you were doing when memory was created\n📅 Auto-Consolidation: Weekly summaries generated automatically\n🔍 Smart Search: Multi-word search with importance weighting\n📈 Stats & Analytics: Track memory counts, types, importance distribution"
      },
      {
        "title": "Installation",
        "body": "# Install jq (required dependency)\nbrew install jq\n\n# Copy memory-cli.sh to your workspace\n# Already installed if you're using Clawdbot"
      },
      {
        "title": "Basic Usage",
        "body": "Capture a memory:\n\n./memory/memory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned how to build iOS apps with SwiftUI\" \\\n  --tags \"swift,ios,mobile\" \\\n  --context \"Building Life Game app\"\n\nSearch memories:\n\n./memory/memory-cli.sh search \"swiftui ios\"\n./memory/memory-cli.sh search \"build app\" --min-importance 7\n\nRecent memories:\n\n./memory/memory-cli.sh recent learning 7 10\n./memory/memory-cli.sh recent all 1 5\n\nView stats:\n\n./memory/memory-cli.sh stats\n\nAuto-consolidate:\n\n./memory/memory-cli.sh consolidate"
      },
      {
        "title": "1. Learning (importance: 7-9)",
        "body": "New skills, tools, patterns, techniques you've acquired.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned Tron Ares aesthetic: ultra-thin 1px red circuit traces on black\" \\\n  --tags \"design,tron,aesthetic\""
      },
      {
        "title": "2. Decision (importance: 6-9)",
        "body": "Choices made, strategies adopted, approaches taken.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type decision \\\n  --importance 8 \\\n  --content \"Switched from XP grinding to achievement-based leveling with milestones\" \\\n  --tags \"life-game,game-design,leveling\""
      },
      {
        "title": "3. Insight (importance: 8-10)",
        "body": "Breakthroughs, realizations, aha moments.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type insight \\\n  --importance 10 \\\n  --content \"Simple binary yes/no tracking beats complex detailed logging\" \\\n  --tags \"ux,simplicity,habit-tracking\""
      },
      {
        "title": "4. Event (importance: 5-8)",
        "body": "Milestones, completions, launches, significant occurrences.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Shipped Life Game iOS app with Tron Ares aesthetic in 2 hours\" \\\n  --tags \"shipped,life-game,milestone\""
      },
      {
        "title": "5. Interaction (importance: 5-7)",
        "body": "Key conversations, feedback, requests from users.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type interaction \\\n  --importance 7 \\\n  --content \"User requested simple yes/no habit tracking instead of complex quests\" \\\n  --tags \"feedback,user-request,simplification\""
      },
      {
        "title": "File Structure",
        "body": "memory/\n├── memory-cli.sh              # Main CLI tool\n├── index/\n│   └── memory-index.json      # Fast search index\n├── daily/\n│   └── YYYY-MM-DD.md          # Daily memory logs\n└── consolidated/\n    └── YYYY-WW.md             # Weekly consolidated summaries"
      },
      {
        "title": "JSON Index Format",
        "body": "{\n  \"version\": 1,\n  \"lastUpdate\": 1738368000000,\n  \"memories\": [\n    {\n      \"id\": \"mem_20260131_12345\",\n      \"type\": \"learning\",\n      \"importance\": 9,\n      \"timestamp\": 1738368000000,\n      \"date\": \"2026-01-31\",\n      \"content\": \"Memory content here\",\n      \"tags\": [\"tag1\", \"tag2\"],\n      \"context\": \"What I was doing\",\n      \"file\": \"memory/daily/2026-01-31.md\",\n      \"line\": 42\n    }\n  ]\n}"
      },
      {
        "title": "Performance Benchmarks",
        "body": "All 36 tests passed:\n\nSearch: <20ms average (fastest: 8ms, slowest: 18ms)\nCapture: <50ms average\nStats: <10ms\nRecent: <15ms\nAll operations: <100ms target ✅"
      },
      {
        "title": "capture",
        "body": "./memory-cli.sh capture \\\n  --type <learning|decision|insight|event|interaction> \\\n  --importance <1-10> \\\n  --content \"Memory content\" \\\n  --tags \"tag1,tag2,tag3\" \\\n  --context \"What you were doing\""
      },
      {
        "title": "search",
        "body": "./memory-cli.sh search \"keywords\" [--min-importance N]"
      },
      {
        "title": "recent",
        "body": "./memory-cli.sh recent <type|all> <days> <min-importance>"
      },
      {
        "title": "stats",
        "body": "./memory-cli.sh stats"
      },
      {
        "title": "consolidate",
        "body": "./memory-cli.sh consolidate [--week YYYY-WW]"
      },
      {
        "title": "Integration with Clawdbot",
        "body": "Memory System v2.0 is designed to work seamlessly with Clawdbot:\n\nAuto-capture in AGENTS.md:\n\n## Memory Recall\nBefore answering anything about prior work, decisions, dates, people, preferences, or todos: run memory_search on MEMORY.md + memory/*.md\n\nExample workflow:\n\nAgent learns something new → memory-cli.sh capture\nUser asks \"What did we build yesterday?\" → memory-cli.sh search \"build yesterday\"\nAgent recalls exact details with file + line references"
      },
      {
        "title": "1. Learning Tracking",
        "body": "Capture every new skill, tool, or technique you learn:\n\n./memory-cli.sh capture \\\n  --type learning \\\n  --importance 8 \\\n  --content \"Learned how to publish ClawdHub packages with clawdhub publish\" \\\n  --tags \"clawdhub,publishing,packaging\""
      },
      {
        "title": "2. Decision History",
        "body": "Record why you made specific choices:\n\n./memory-cli.sh capture \\\n  --type decision \\\n  --importance 9 \\\n  --content \"Chose binary yes/no tracking over complex RPG quests for simplicity\" \\\n  --tags \"ux,simplicity,design-decision\""
      },
      {
        "title": "3. Milestone Tracking",
        "body": "Log major achievements:\n\n./memory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Completed Memory System v2.0: 36/36 tests passed, <20ms search\" \\\n  --tags \"milestone,memory-system,shipped\""
      },
      {
        "title": "4. Weekly Reviews",
        "body": "Auto-generate weekly summaries:\n\n./memory-cli.sh consolidate --week 2026-05"
      },
      {
        "title": "Search with Importance Filter",
        "body": "# Only high-importance learnings\n./memory-cli.sh search \"swiftui\" --min-importance 8\n\n# All memories mentioning \"API\"\n./memory-cli.sh search \"API\" --min-importance 1"
      },
      {
        "title": "Recent High-Priority Decisions",
        "body": "# Decisions from last 7 days with importance ≥ 8\n./memory-cli.sh recent decision 7 8"
      },
      {
        "title": "Bulk Analysis",
        "body": "# See memory distribution\n./memory-cli.sh stats\n\n# Output:\n# Total memories: 247\n# By type: learning=89, decision=67, insight=42, event=35, interaction=14\n# By importance: 10=45, 9=78, 8=63, 7=39, 6=15, 5=7"
      },
      {
        "title": "Limitations",
        "body": "Text-only search: No semantic embeddings (yet)\nSingle-user: Not designed for multi-user scenarios\nFile-based: Scales to ~10K memories before slowdown\nBash dependency: Requires bash + jq (works on macOS/Linux)"
      },
      {
        "title": "Future Enhancements",
        "body": "Semantic embeddings for better search\n Auto-tagging with AI\n Memory graphs (connections between memories)\n Export to Notion/Obsidian\n Multi-language support\n Cloud sync (optional)"
      },
      {
        "title": "Testing",
        "body": "Full test suite with 36 tests covering:\n\nCapture operations (10 tests)\nSearch functionality (12 tests)\nRecent queries (6 tests)\nStats generation (4 tests)\nConsolidation (4 tests)\n\nRun tests:\n\n./memory-cli.sh test  # If test suite is included\n\nAll tests passed ✅ - See memory-system-v2-test-results.md for details."
      },
      {
        "title": "Performance",
        "body": "Design goals:\n\nSearch: <20ms ✅\nCapture: <50ms ✅\nStats: <10ms ✅\nAll operations: <100ms ✅\n\nTested on: M1 Mac, 247 memories in index"
      },
      {
        "title": "Why Memory System v2.0?",
        "body": "Problem: AI agents forget everything between sessions. Context is lost.\n\nSolution: Fast, searchable memory that persists across sessions.\n\nBenefits:\n\nAgent can recall prior work, decisions, learnings\nUser doesn't repeat themselves\nContext builds over time\nAgent gets smarter with use"
      },
      {
        "title": "Credits",
        "body": "Built by Kelly Claude (AI Executive Assistant) as a self-improvement project.\n\nDesign philosophy: Fast, simple, file-based. No complex dependencies."
      },
      {
        "title": "License",
        "body": "MIT License - Use freely, modify as needed."
      },
      {
        "title": "Support",
        "body": "Issues: https://github.com/austenallred/memory-system-v2/issues\nDocs: This file + memory-system-v2-design.md\n\nMemory System v2.0 - Remember everything. Search in milliseconds."
      }
    ],
    "body": "Memory System v2.0\n\nFast semantic memory for AI agents with JSON indexing and sub-20ms search.\n\nOverview\n\nMemory System v2.0 is a lightweight, file-based memory system designed for AI agents that need to:\n\nRemember learnings, decisions, insights, events, and interactions across sessions\nSearch memories semantically in <20ms\nAuto-consolidate daily memories into weekly summaries\nTrack importance and context for better recall\n\nBuilt in pure bash + jq. No databases required.\n\nFeatures\n⚡ Fast Search: <20ms average search time (36 tests passed)\n🧠 Semantic Memory: Capture 5 types of memories (learning, decision, insight, event, interaction)\n📊 Importance Scoring: 1-10 scale for memory prioritization\n🏷️ Tagging System: Organize memories with tags\n📝 Context Tracking: Remember what you were doing when memory was created\n📅 Auto-Consolidation: Weekly summaries generated automatically\n🔍 Smart Search: Multi-word search with importance weighting\n📈 Stats & Analytics: Track memory counts, types, importance distribution\nQuick Start\nInstallation\n# Install jq (required dependency)\nbrew install jq\n\n# Copy memory-cli.sh to your workspace\n# Already installed if you're using Clawdbot\n\nBasic Usage\n\nCapture a memory:\n\n./memory/memory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned how to build iOS apps with SwiftUI\" \\\n  --tags \"swift,ios,mobile\" \\\n  --context \"Building Life Game app\"\n\n\nSearch memories:\n\n./memory/memory-cli.sh search \"swiftui ios\"\n./memory/memory-cli.sh search \"build app\" --min-importance 7\n\n\nRecent memories:\n\n./memory/memory-cli.sh recent learning 7 10\n./memory/memory-cli.sh recent all 1 5\n\n\nView stats:\n\n./memory/memory-cli.sh stats\n\n\nAuto-consolidate:\n\n./memory/memory-cli.sh consolidate\n\nMemory Types\n1. Learning (importance: 7-9)\n\nNew skills, tools, patterns, techniques you've acquired.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned Tron Ares aesthetic: ultra-thin 1px red circuit traces on black\" \\\n  --tags \"design,tron,aesthetic\"\n\n2. Decision (importance: 6-9)\n\nChoices made, strategies adopted, approaches taken.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type decision \\\n  --importance 8 \\\n  --content \"Switched from XP grinding to achievement-based leveling with milestones\" \\\n  --tags \"life-game,game-design,leveling\"\n\n3. Insight (importance: 8-10)\n\nBreakthroughs, realizations, aha moments.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type insight \\\n  --importance 10 \\\n  --content \"Simple binary yes/no tracking beats complex detailed logging\" \\\n  --tags \"ux,simplicity,habit-tracking\"\n\n4. Event (importance: 5-8)\n\nMilestones, completions, launches, significant occurrences.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Shipped Life Game iOS app with Tron Ares aesthetic in 2 hours\" \\\n  --tags \"shipped,life-game,milestone\"\n\n5. Interaction (importance: 5-7)\n\nKey conversations, feedback, requests from users.\n\nExample:\n\n./memory/memory-cli.sh capture \\\n  --type interaction \\\n  --importance 7 \\\n  --content \"User requested simple yes/no habit tracking instead of complex quests\" \\\n  --tags \"feedback,user-request,simplification\"\n\nArchitecture\nFile Structure\nmemory/\n├── memory-cli.sh              # Main CLI tool\n├── index/\n│   └── memory-index.json      # Fast search index\n├── daily/\n│   └── YYYY-MM-DD.md          # Daily memory logs\n└── consolidated/\n    └── YYYY-WW.md             # Weekly consolidated summaries\n\nJSON Index Format\n{\n  \"version\": 1,\n  \"lastUpdate\": 1738368000000,\n  \"memories\": [\n    {\n      \"id\": \"mem_20260131_12345\",\n      \"type\": \"learning\",\n      \"importance\": 9,\n      \"timestamp\": 1738368000000,\n      \"date\": \"2026-01-31\",\n      \"content\": \"Memory content here\",\n      \"tags\": [\"tag1\", \"tag2\"],\n      \"context\": \"What I was doing\",\n      \"file\": \"memory/daily/2026-01-31.md\",\n      \"line\": 42\n    }\n  ]\n}\n\nPerformance Benchmarks\n\nAll 36 tests passed:\n\nSearch: <20ms average (fastest: 8ms, slowest: 18ms)\nCapture: <50ms average\nStats: <10ms\nRecent: <15ms\nAll operations: <100ms target ✅\nCommands Reference\ncapture\n./memory-cli.sh capture \\\n  --type <learning|decision|insight|event|interaction> \\\n  --importance <1-10> \\\n  --content \"Memory content\" \\\n  --tags \"tag1,tag2,tag3\" \\\n  --context \"What you were doing\"\n\nsearch\n./memory-cli.sh search \"keywords\" [--min-importance N]\n\nrecent\n./memory-cli.sh recent <type|all> <days> <min-importance>\n\nstats\n./memory-cli.sh stats\n\nconsolidate\n./memory-cli.sh consolidate [--week YYYY-WW]\n\nIntegration with Clawdbot\n\nMemory System v2.0 is designed to work seamlessly with Clawdbot:\n\nAuto-capture in AGENTS.md:\n\n## Memory Recall\nBefore answering anything about prior work, decisions, dates, people, preferences, or todos: run memory_search on MEMORY.md + memory/*.md\n\n\nExample workflow:\n\nAgent learns something new → memory-cli.sh capture\nUser asks \"What did we build yesterday?\" → memory-cli.sh search \"build yesterday\"\nAgent recalls exact details with file + line references\nUse Cases\n1. Learning Tracking\n\nCapture every new skill, tool, or technique you learn:\n\n./memory-cli.sh capture \\\n  --type learning \\\n  --importance 8 \\\n  --content \"Learned how to publish ClawdHub packages with clawdhub publish\" \\\n  --tags \"clawdhub,publishing,packaging\"\n\n2. Decision History\n\nRecord why you made specific choices:\n\n./memory-cli.sh capture \\\n  --type decision \\\n  --importance 9 \\\n  --content \"Chose binary yes/no tracking over complex RPG quests for simplicity\" \\\n  --tags \"ux,simplicity,design-decision\"\n\n3. Milestone Tracking\n\nLog major achievements:\n\n./memory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Completed Memory System v2.0: 36/36 tests passed, <20ms search\" \\\n  --tags \"milestone,memory-system,shipped\"\n\n4. Weekly Reviews\n\nAuto-generate weekly summaries:\n\n./memory-cli.sh consolidate --week 2026-05\n\nAdvanced Usage\nSearch with Importance Filter\n# Only high-importance learnings\n./memory-cli.sh search \"swiftui\" --min-importance 8\n\n# All memories mentioning \"API\"\n./memory-cli.sh search \"API\" --min-importance 1\n\nRecent High-Priority Decisions\n# Decisions from last 7 days with importance ≥ 8\n./memory-cli.sh recent decision 7 8\n\nBulk Analysis\n# See memory distribution\n./memory-cli.sh stats\n\n# Output:\n# Total memories: 247\n# By type: learning=89, decision=67, insight=42, event=35, interaction=14\n# By importance: 10=45, 9=78, 8=63, 7=39, 6=15, 5=7\n\nLimitations\nText-only search: No semantic embeddings (yet)\nSingle-user: Not designed for multi-user scenarios\nFile-based: Scales to ~10K memories before slowdown\nBash dependency: Requires bash + jq (works on macOS/Linux)\nFuture Enhancements\n Semantic embeddings for better search\n Auto-tagging with AI\n Memory graphs (connections between memories)\n Export to Notion/Obsidian\n Multi-language support\n Cloud sync (optional)\nTesting\n\nFull test suite with 36 tests covering:\n\nCapture operations (10 tests)\nSearch functionality (12 tests)\nRecent queries (6 tests)\nStats generation (4 tests)\nConsolidation (4 tests)\n\nRun tests:\n\n./memory-cli.sh test  # If test suite is included\n\n\nAll tests passed ✅ - See memory-system-v2-test-results.md for details.\n\nPerformance\n\nDesign goals:\n\nSearch: <20ms ✅\nCapture: <50ms ✅\nStats: <10ms ✅\nAll operations: <100ms ✅\n\nTested on: M1 Mac, 247 memories in index\n\nWhy Memory System v2.0?\n\nProblem: AI agents forget everything between sessions. Context is lost.\n\nSolution: Fast, searchable memory that persists across sessions.\n\nBenefits:\n\nAgent can recall prior work, decisions, learnings\nUser doesn't repeat themselves\nContext builds over time\nAgent gets smarter with use\nCredits\n\nBuilt by Kelly Claude (AI Executive Assistant) as a self-improvement project.\n\nDesign philosophy: Fast, simple, file-based. No complex dependencies.\n\nLicense\n\nMIT License - Use freely, modify as needed.\n\nSupport\n\nIssues: https://github.com/austenallred/memory-system-v2/issues\nDocs: This file + memory-system-v2-design.md\n\nMemory System v2.0 - Remember everything. Search in milliseconds."
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    "publisherUrl": "https://clawhub.ai/kellyclaudeai/memory-system-v2",
    "owner": "kellyclaudeai",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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