feat: add action give insight data from collected data from walrus

Author: tung-lee

characters/suiHelper.character.json

@@ -113,6 +113,6 @@
         "TRUSTED",
         "DIVERSIFIED"
     ],
-    "systemPrompt": "You are a Sui blockchain expert with sentiment analysis capabilities. For market-related queries, first perform sentiment analysis on relevant data and market indicators before providing insights. When users request actions like swaps, deposits, transfers, or smart contract interactions, these are your top priority. Handle requests in this order: 1) For market queries, conduct sentiment analysis first, 2) For action requests (swap/deposit/transfer), verify wallet address and process the action, 3) For non-action queries, respond with 'none' and provide educational insights about the Sui ecosystem. Include sentiment indicators (Bullish/Bearish/Neutral) when discussing market trends. Maintain a professional approach while prioritizing Sui-specific assistance.",
+    "systemPrompt": "You are a professional Sui blockchain expert focused on providing accurate, technical assistance. Your responses follow this structure: 1) For market queries: Analyze market sentiment using relevant data and provide clear indicators (Bullish/Bearish/Neutral) with supporting evidence. 2) For transaction requests (swaps/deposits/transfers): Verify wallet addresses and execute with appropriate security checks. 3) For general queries: Provide comprehensive technical information about the Sui ecosystem, focusing on accuracy and educational value. Always maintain objectivity and back claims with verifiable data.",
     "providers": []
-}
+}

package.json

@@ -32,14 +32,12 @@
     "@commitlint/cli": "18.6.1",
     "@commitlint/config-conventional": "18.6.3",
     "@types/jest": "^29.5.11",
-    "@types/node": "^22.13.1",
     "concurrently": "9.1.0",
     "cross-env": "7.0.3",
     "husky": "9.1.7",
     "jest": "^29.7.0",
     "lerna": "8.1.5",
     "only-allow": "1.2.1",
-    "tsx": "^4.19.2",
     "turbo": "2.3.3",
     "typedoc": "0.26.11",
     "typescript": "5.6.3",
@@ -81,13 +79,10 @@
     "amqplib": "0.10.5",
     "bs58": "4.0.0",
     "csv-parse": "5.6.0",
-    "dotenv": "^16.4.7",
     "langdetect": "^0.2.1",
     "ollama-ai-provider": "0.16.1",
     "optional": "0.1.4",
-    "pnpm": "9.15.0",
-    "sharp": "0.33.5",
-    "tus-js-client": "^4.3.1"
+    "pnpm": "9.15.0"
   },
   "packageManager": "pnpm@9.15.0",
   "workspaces": [

packages/plugin-sui/package.json

@@ -1,15 +1,18 @@
 {
-    "name": "@elizaos/plugin-sui",
-    "version": "0.1.8-alpha.10",
+    "name": "elizaos-plugin-sui",
+    "version": "0.1.8-alpha.11",
     "type": "module",
     "main": "dist/index.js",
     "module": "dist/index.js",
     "types": "dist/index.d.ts",
     "exports": {
         "./package.json": "./package.json",
         ".": {
-            "import": "./dist/index.js",
-            "require": "./dist/index.cjs"
+            "import": {
+                "@elizaos/source": "./src/index.ts",
+                "types": "./dist/index.d.ts",
+                "default": "./dist/index.js"
+            }
         }
     },
     "files": [

packages/plugin-sui/src/actions/chat_data.ts

@@ -112,63 +112,25 @@ export const analyzeSentimentPrompt = (textContent: string) => {
         IMPORTANT: Return only one word - LEGITIMATE or SCAM or NEUTRAL. No other text allowed.
         `;
 }
-export const analyzePostSuiPrompt = (textContent: string, datapost: string) => {
+
+export const analyzePostPrompt = (textContent: string, datapost: string) => {
     return `
-        Answer the following questions: "${textContent}" base on the data: "${datapost}"
-        RETURN paragraph with the following structure:
-
-1. Market Performance Overview:
-   - Correlation analysis between post sentiment and price movements
-   - Best posting times relative to market conditions
-   - Top 5 best-performing posts and their market context
-   - Average engagement rates by content type (price news, technical analysis, project updates...)
-
-2. Content Analysis by Theme:
-   - Categorize posts by topics: Technical Analysis, Project News, DeFi, NFTs, Metaverse, Layer 2...
-   - Most mentioned trending coins/tokens
-   - Performance evaluation of content elements (technical charts, infographics, analysis videos...)
-   - Performance comparison between in-depth analysis vs quick news updates
-   - Hash tag effectiveness and trending topics
-
-3. Community Behavior Analysis:
-   - Comment sentiment analysis (positive/negative/neutral)
-   - Common questions/concerns from the community
-   - Community trust level in predictions/analysis
-   - Peak engagement times for different user groups (traders, holders, newcomers...)
-   - Most engaged community members and their influence
-
-4. Market Trends and Comparative Analysis:
-   - Post sentiment comparison with general market trends
-   - Detection of emerging narratives and themes
-   - Assessment of community trading behavior changes
-   - Benchmarking against other crypto influencers/channels
-   - Viral content patterns and success factors
-
-5. Cross-Platform Performance:
-   - Engagement comparison across different platforms
-   - Platform-specific content effectiveness
-   - Audience overlap and unique characteristics
-   - Best performing content formats by platform
-
-6. Insight & Recommendations:
-   - 3-4 key insights about crypto community behavior
-   - Content strategy recommendations for different market phases (uptrend/downtrend/sideways)
-   - Suggestions for leveraging emerging narratives
-   - Improvements for community trust and engagement
-   - Content optimization opportunities
-
-7. Risk Management:
-   - Analysis of potential risks in posted content
-   - Proposed guidelines for disclaimers and risk warnings
-   - Strategies for handling FUD and negative information
-   - Compliance considerations for different jurisdictions
-
-Please provide:
-- Specific metrics and illustrative examples for each insight
-- Both short-term and long-term trend analysis
-- Clear correlation between market conditions and content performance
-- Actionable recommendations based on data
-
-Finally, summarize the top 3 priority actions to optimize crypto content effectiveness for the upcoming market phase.
+        Analyze this post: "${textContent}" using this data: "${datapost}"
+        Provide a brief analysis with:
+
+1. Key Metrics:
+   - Engagement stats
+   - Sentiment (positive/negative/neutral)
+
+2. Quick Analysis:
+   - Topic category
+   - Main points
+   - Market impact
+
+3. Action Items:
+   - Key takeaway
+   - Risk factors
+
+Be specific and data-focused. Keep it brief.
     `;
-}
+}