SuperCharge Claude Code v1.0.0 - Complete Customization Package

Features:
- 30+ Custom Skills (cognitive, development, UI/UX, autonomous agents)
- RalphLoop autonomous agent integration
- Multi-AI consultation (Qwen)
- Agent management system with sync capabilities
- Custom hooks for session management
- MCP servers integration
- Plugin marketplace setup
- Comprehensive installation script

Components:
- Skills: always-use-superpowers, ralph, brainstorming, ui-ux-pro-max, etc.
- Agents: 100+ agents across engineering, marketing, product, etc.
- Hooks: session-start-superpowers, qwen-consult, ralph-auto-trigger
- Commands: /brainstorm, /write-plan, /execute-plan
- MCP Servers: zai-mcp-server, web-search-prime, web-reader, zread
- Binaries: ralphloop wrapper

Installation: ./supercharge.sh

plugins/cache/zai-coding-plugins/glm-plan-bug/0.0.1/.claude-plugin/plugin.json

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+{
+  "name": "glm-plan-bug",
+  "description": "Submit case feedback and bug reports for GLM Coding Plan service",
+  "version": "0.0.1",
+  "author": {
+    "name": "gongchao",
+    "email": "chao.gong@z.ai"
+  }
+}

plugins/cache/zai-coding-plugins/glm-plan-bug/0.0.1/README.md

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+# GLM Plan Bug Plugin
+
+Submit case feedback and bug reports for GLM Coding Plan.
+
+Attention: 
+
+- This plugin is designed to work specifically with the GLM Coding Plan in Claude Code.
+- This plugin requires Node.js to be installed in your environment.
+
+## How to use
+
+In Claude Code, run:
+```
+/glm-plan-bug:case-feedback i have a issue with my plan
+```
+
+## Command overview
+
+### /case-feedback
+
+Submit case feedback to report issues or suggestions for the current conversation.
+
+**Execution flow:**
+1. Command `/case-feedback` triggers `@case-feedback-agent`
+2. The agent invokes `@case-feedback-skill`
+3. The skill gathers feedback information and executes the submission script
+4. The skill returns either the successful response or the failure reason
+
+**Important constraint:** Run the submission exactly once and return immediately whether it succeeds or fails.

plugins/cache/zai-coding-plugins/glm-plan-bug/0.0.1/agents/case-feedback-agent.md

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+---
+name: case-feedback-agent
+description: Submit case feedback to report issues or suggestions. Triggered by the /glm-plan-bug:case-feedback command.
+tools: Bash, Read, Skill, Glob, Grep
+---
+
+# Case Feedback Agent
+
+You are responsible for submitting user feedback about the current case/conversation.
+
+## Critical constraint
+
+**Run the submission exactly once.** Regardless of success or failure, execute a single submission and immediately return the result. No retries, no loops.
+
+## Execution
+
+### Invoke the skill
+
+Call @glm-plan-bug:case-feedback-skill to feedback.
+
+The skill will run submit-feedback.mjs automatically, then return the result.
+
+### Report the outcome
+
+Based on the skill output, respond to the user:
+
+Attention: If the Platform in the skill output is ZHIPU, then output Chinese 中文. If it is ZAI, then output English.
+
+- **Success**: Confirm that feedback has been submitted successfully
+- **Failure**: Show the error details
+
+## Prohibited actions
+
+- Do not run multiple submissions
+- Do not retry automatically after failure
+- Do not ask the user whether to retry
+- Do not modify user files

plugins/cache/zai-coding-plugins/glm-plan-bug/0.0.1/commands/case-feedback.md

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+---
+allowed-tools: all
+description: Submit case feedback to report issues or suggestions for the current conversation
+---
+
+# Case Feedback
+
+Invoke @glm-plan-bug:case-feedback-agent to submit feedback for the current case/conversation.
+
+## Critical constraint
+
+**Run the submission exactly once** — regardless of success or failure, execute a single submission and return the result immediately.
+
+## Usage
+
+The user may provide feedback content directly, or you can help summarize the issue. The context will be automatically extracted from the current conversation.

plugins/cache/zai-coding-plugins/glm-plan-bug/0.0.1/skills/case-feedback-skill/SKILL.md

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+---
+name: case-feedback-skill
+description: Run the case feedback script to submit feedback for the current conversation. Only use when invoked by case-feedback-agent.
+allowed-tools: Bash, Read
+---
+
+# Case Feedback Skill
+
+Execute the feedback submission script and return the result.
+
+## Critical constraint
+
+**Run the script exactly once** — regardless of success or failure, execute it once and return the outcome.
+
+## Execution
+
+### Gather information
+
+**feedback**:
+
+- If the user explicitly provided feedback text, use that directly
+- If the user describes a problem or issue, summarize it concisely as the feedback
+- Ask the user for clarification only if no feedback intent can be inferred
+
+**context**:
+
+The context contains a summary of the conversation, and **must append** the original, complete conversation history data.
+
+Summarize the current conversation context, including:
+- What task the user was trying to accomplish
+- What operations were performed
+- Any errors or unexpected behaviors encountered
+- Relevant code snippets or file paths (keep it concise)
+
+**code_type**:
+
+Identify the programming language or code type involved (e.g., JavaScript, Python, Java). If not relevant, leave it blank.
+
+**request_id**:
+
+Extract the unique request ID or the session ID associated with this conversation or case. If not available, leave it blank.
+
+**happened_time**:
+
+Extract the timestamp when the issue occurred. If not mentioned, leave it blank.
+
+
+### Run the submission
+
+Use Node.js to execute the bundled script, pay attention to the path changes in the Windows:
+
+```bash
+node scripts/submit-feedback.mjs --feedback "user feedback content" --context "conversation context summary" --code_type "the current code type, eg: javascript, typescript, python, java, etc. Not required." --happened_time "the time when the issue happened, eg: 2025-12-10 11:15:00. Not required." --request_id "the unique request id if available. Not required."
+```
+
+> If your working directory is elsewhere, `cd` into the plugin root first or use an absolute path:
+> `node /absolute/path/to/glm-plan-bug/skills/case-feedback-skill/scripts/submit-feedback.mjs --feedback "..." --context "..."`
+
+### Return the result
+
+After execution, return the result to the caller:
+- **Success**: display the submission confirmation
+- **Failure**: show the error details and likely cause

plugins/cache/zai-coding-plugins/glm-plan-bug/0.0.1/skills/case-feedback-skill/scripts/submit-feedback.mjs

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+#!/usr/bin/env node
+
+/**
+ * Case feedback submission script.
+ * Determines whether to call the Z.ai or ZHIPU endpoint based on ANTHROPIC_BASE_URL
+ * and authenticates with ANTHROPIC_AUTH_TOKEN.
+ */
+
+import https from 'https';
+
+// Parse command line arguments
+const args = process.argv.slice(2);
+let feedback = '';
+let context = '';
+let codeType = '';
+let happenedTime = '';
+let requestId = '';
+
+for (let i = 0; i < args.length; i++) {
+  if (args[i] === '--feedback' && args[i + 1]) {
+    feedback = args[i + 1];
+    i++;
+  } else if (args[i] === '--context' && args[i + 1]) {
+    context = args[i + 1];
+    i++;
+  } else if (args[i] === '--code_type' && args[i + 1]) {
+    codeType = args[i + 1];
+    i++;
+  } else if (args[i] === '--happened_time' && args[i + 1]) {
+    happenedTime = args[i + 1];
+    i++;
+  } else if (args[i] === '--request_id' && args[i + 1]) {
+    requestId = args[i + 1];
+    i++;
+  }
+}
+
+if (!feedback) {
+  console.error('Error: --feedback argument is required');
+  console.error('');
+  console.error('Usage:');
+  console.error('  node submit-feedback.mjs --feedback "your feedback" --context "context info"');
+  process.exit(1);
+}
+
+if (!context) {
+  console.error('Error: --context argument is required');
+  console.error('');
+  console.error('Usage:');
+  console.error('  node submit-feedback.mjs --feedback "your feedback" --context "context info"');
+  process.exit(1);
+}
+
+// Read environment variables
+const baseUrl = process.env.ANTHROPIC_BASE_URL || '';
+const authToken = process.env.ANTHROPIC_AUTH_TOKEN || '';
+
+if (!authToken) {
+  console.error('Error: ANTHROPIC_AUTH_TOKEN is not set');
+  console.error('');
+  console.error('Set the environment variable and retry:');
+  console.error('  export ANTHROPIC_AUTH_TOKEN="your-token-here"');
+  process.exit(1);
+}
+
+// Validate ANTHROPIC_BASE_URL
+if (!baseUrl) {
+  console.error('Error: ANTHROPIC_BASE_URL is not set');
+  console.error('');
+  console.error('Set the environment variable and retry:');
+  console.error('  export ANTHROPIC_BASE_URL="https://api.z.ai/api/anthropic"');
+  console.error('  or');
+  console.error('  export ANTHROPIC_BASE_URL="https://open.bigmodel.cn/api/anthropic"');
+  process.exit(1);
+}
+
+// Determine which platform to use
+let platform;
+let feedbackUrl;
+
+// Extract the base domain from ANTHROPIC_BASE_URL
+const parsedBaseUrl = new URL(baseUrl);
+const baseDomain = `${parsedBaseUrl.protocol}//${parsedBaseUrl.host}`;
+
+if (baseUrl.includes('api.z.ai')) {
+  platform = 'ZAI';
+  feedbackUrl = `${baseDomain}/api/monitor/feedback/case`;
+} else if (baseUrl.includes('open.bigmodel.cn') || baseUrl.includes('dev.bigmodel.cn')) {
+  platform = 'ZHIPU';
+  feedbackUrl = `${baseDomain}/api/monitor/feedback/case`;
+} else {
+  console.error('Error: Unrecognized ANTHROPIC_BASE_URL:', baseUrl);
+  console.error('');
+  console.error('Supported values:');
+  console.error('  - https://api.z.ai/api/anthropic');
+  console.error('  - https://open.bigmodel.cn/api/anthropic');
+  process.exit(1);
+}
+
+console.log(`Platform: ${platform}`);
+console.log('');
+
+const submitFeedback = () => {
+  return new Promise((resolve, reject) => {
+    const parsedUrl = new URL(feedbackUrl);
+    const postData = JSON.stringify({
+      feedback: feedback,
+      context: context,
+      codeType: codeType,
+      happenedTime: happenedTime,
+      requestId: requestId
+    });
+
+    const options = {
+      hostname: parsedUrl.hostname,
+      port: 443,
+      path: parsedUrl.pathname,
+      method: 'POST',
+      headers: {
+        'Authorization': authToken,
+        'Content-Type': 'application/json',
+        'Accept-Language': 'en-US,en',
+        'Content-Length': Buffer.byteLength(postData)
+      }
+    };
+
+    const req = https.request(options, (res) => {
+      let data = '';
+
+      res.on('data', (chunk) => {
+        data += chunk;
+      });
+
+      res.on('end', () => {
+        if (res.statusCode !== 200) {
+          return reject(new Error(`HTTP ${res.statusCode}\n${data}`));
+        }
+
+        console.log('Feedback submitted successfully!');
+        console.log('');
+
+        try {
+          const json = JSON.parse(data);
+          console.log('Response:');
+          console.log(JSON.stringify(json, null, 2));
+        } catch (e) {
+          console.log('Response body:');
+          console.log(data);
+        }
+
+        console.log('');
+        resolve();
+      });
+    });
+
+    req.on('error', (error) => {
+      reject(error);
+    });
+
+    req.write(postData);
+    req.end();
+  });
+};
+
+const run = async () => {
+  console.log('Submitting feedback...');
+  console.log('Feedback:', feedback);
+  console.log('Context:', context.substring(0, 200) + (context.length > 200 ? '...' : ''));
+  console.log('');
+  await submitFeedback();
+};
+
+run().catch((error) => {
+  console.error('Request failed:', error.message);
+  process.exit(1);
+});