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Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.","transaurus\u002Fstaging-davila7-claude-code-templates","transaurus","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F210882017?v=4","01M6JH1R6ZCRXGJCTDP5ZKZBE6","Page Turner Agent","01M6JH1RBBR2P6Y0XWDGM4B0G7",0,"MIT","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fgemini\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"analysis","for","processing","default","Art","use","context","plan review","coding","plan","code review","state","reasoning","code","run","windows","gemini cli","cli","review","2026-11-10 10:12:30",false,"---\nname: gemini\ndescription: Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.\n---\n\n# Gemini Skill Guide\n\n## When to Use Gemini\n- WHEN ASKED TO BE ACTIVATED\n- **Code Review**: Comprehensive code reviews across multiple files\n- **Plan Review**: Analyzing architectural plans, technical specifications, or project roadmaps\n- **Big Context Processing**: Tasks requiring >200k tokens of context (entire codebases, documentation sets)\n- **Multi-file Analysis**: Understanding relationships and patterns across many files\n\n## ⚠️ Critical: Background\u002FNon-Interactive Mode Warning\n\n**NEVER use `--approval-mode default` in background or non-interactive shells** (like Claude Code tool calls). It will hang indefinitely waiting for approval prompts that cannot be provided.\n\n**For automated\u002Fbackground reviews:**\n- ✅ Use `--approval-mode yolo` for fully automated execution\n- ✅ OR wrap with timeout: `timeout 300 gemini ...`\n- ❌ NEVER use `--approval-mode default` without interactive terminal\n\n**Symptoms of hung Gemini:**\n- Process running 20+ minutes with 0% CPU usage\n- No network activity\n- Process state shows 'S' (sleeping)\n\n**Fix hung process:**\n```bash\n# Check if hung\nps aux | grep gemini | grep -v grep\n\n# Kill if necessary\npkill -9 -f \"gemini.*gemini-3-pro-preview\"\n```\n\n## Running a Task\n\n1. Ask the user (via `AskUserQuestion`) which model to use in a **single prompt**. Available models:\n   - `gemini-3-pro-preview` ⭐ (flagship model, best for coding & complex reasoning, 35% better at software engineering than 2.5 Pro)\n   - `gemini-3-flash` (sub-second latency, distilled from 3 Pro, best for speed-critical tasks)\n   - `gemini-2.5-pro` (legacy option, strong all-around performance)\n   - `gemini-2.5-flash` (legacy option, cost-efficient with thinking capabilities)\n   - `gemini-2.5-flash-lite` (legacy option, fastest processing)\n\n2. Select the approval mode based on the task:\n   - `default`: Prompt for approval (⚠️ ONLY for interactive terminal sessions)\n   - `auto_edit`: Auto-approve edit tools only (for code reviews with suggestions)\n   - `yolo`: Auto-approve all tools (✅ REQUIRED for background\u002Fautomated tasks)\n\n3. Assemble the command with appropriate options:\n   - `-m, --model \u003CMODEL>` - Model selection\n   - `--approval-mode \u003Cdefault|auto_edit|yolo>` - Control tool approval\n   - `-y, --yolo` - Alternative to `--approval-mode yolo`\n   - `-i, --prompt-interactive \"prompt\"` - Execute prompt and continue interactively\n   - `--include-directories \u003CDIR>` - Additional directories to include in workspace\n   - `-s, --sandbox` - Run in sandbox mode for isolation\n\n4. **For background\u002Fautomated tasks, ALWAYS use `--approval-mode yolo`** or add timeout wrapper. NEVER use `default` in non-interactive shells.\n\n5. Run the command and capture the output. For background\u002Fautomated mode:\n   ```bash\n   # Recommended: Use yolo for background tasks\n   gemini -m gemini-3-pro-preview --approval-mode yolo \"Review this codebase for security issues\"\n\n   # Or with timeout (5 min limit)\n   timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo \"Review this codebase\"\n   ```\n\n6. For interactive sessions with an initial prompt:\n   ```bash\n   gemini -m gemini-3-pro-preview -i \"Review the authentication system\" --approval-mode auto_edit\n   ```\n\n7. **After Gemini completes**, inform the user: \"The Gemini analysis is complete. You can start a new Gemini session for follow-up analysis or continue exploring the findings.\"\n\n### Quick Reference\n\n| Use case | Approval mode | Key flags |\n| --- | --- | --- |\n| Background code review | `yolo` ✅ | `-m gemini-3-pro-preview --approval-mode yolo` |\n| Background analysis | `yolo` ✅ | `-m gemini-3-pro-preview --approval-mode yolo` |\n| Background with timeout | `yolo` ✅ | `timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo` |\n| Interactive code review | `default` | `-m gemini-3-pro-preview --approval-mode default` (interactive terminal only) |\n| Code review with auto-edits | `auto_edit` | `-m gemini-3-pro-preview --approval-mode auto_edit` |\n| Automated refactoring | `yolo` | `-m gemini-3-pro-preview --approval-mode yolo` |\n| Speed-critical background | `yolo` ✅ | `-m gemini-3-flash --approval-mode yolo` |\n| Cost-optimized background | `yolo` ✅ | `-m gemini-2.5-flash --approval-mode yolo` |\n| Multi-directory analysis | `yolo` (if background) | `--include-directories \u003CDIR1> --include-directories \u003CDIR2>` |\n| Interactive with prompt | `auto_edit` or `default` | `-i \"prompt\" --approval-mode \u003Cmode>` |\n\n### Model Selection Guide\n\n| Model | Best for | Context window | Key features |\n| --- | --- | --- | --- |\n| `gemini-3-pro-preview` ⭐ | **Flagship model**: Complex reasoning, coding, agentic tasks | 1M input \u002F 64k output | Vibe coding, 76.2% SWE-bench, $2-4\u002FM input |\n| `gemini-3-flash` | Sub-second latency, speed-critical applications | 1M input \u002F 64k output | Distilled from 3 Pro, TPU-optimized |\n| `gemini-2.5-pro` | Legacy: Strong all-around performance | 1M input \u002F 65k output | Thinking mode, mature stability |\n| `gemini-2.5-flash` | Legacy: Cost-efficient, high-volume tasks | 1M input \u002F 65k output | Best price ($0.15\u002FM), thinking mode |\n| `gemini-2.5-flash-lite` | Legacy: Fastest processing, high throughput | 1M input \u002F 65k output | Maximum speed, minimal latency |\n\n**Gemini 3 Advantages**: 35% higher accuracy in software engineering, state-of-the-art on SWE-bench (76.2%), GPQA Diamond (91.9%), and WebDev Arena (1487 Elo). Knowledge cutoff: January 2025.\n\n**Coming Soon**: `gemini-3-deep-think` for ultra-complex reasoning with enhanced thinking capabilities.\n\n## Common Use Cases\n\n### Code Review (Background\u002FAutomated)\n```bash\n# For background execution (Claude Code, CI\u002FCD, etc.)\ngemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Perform a comprehensive code review focusing on:\n   1. Security vulnerabilities\n   2. Performance issues\n   3. Code quality and maintainability\n   4. Best practices violations\"\n\n# With timeout safety (5 minutes)\ntimeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Perform a comprehensive code review...\"\n```\n\n### Plan Review (Background\u002FAutomated)\n```bash\n# For background execution\ngemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Review this architectural plan for:\n   1. Scalability concerns\n   2. Missing components\n   3. Integration challenges\n   4. Alternative approaches\"\n```\n\n### Big Context Analysis (Background\u002FAutomated)\n```bash\n# For background execution\ngemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Analyze the entire codebase to understand:\n   1. Overall architecture\n   2. Key patterns and conventions\n   3. Potential technical debt\n   4. Refactoring opportunities\"\n```\n\n### Interactive Code Review (Terminal Only)\n```bash\n# ONLY use default mode in interactive terminal\ngemini -m gemini-3-pro-preview --approval-mode default \\\n  \"Review the authentication flow for security issues\"\n```\n\n## Following Up\n\n- Gemini CLI sessions are typically one-shot or interactive. Unlike Codex, there's no built-in resume functionality.\n- For follow-up analysis, start a new Gemini session with context from previous findings.\n- When proposing follow-up actions, restate the chosen model and approval mode.\n- Use `AskUserQuestion` after each Gemini command to confirm next steps or gather clarifications.\n\n## Error Handling\n\n- Stop and report failures whenever `gemini --version` or a Gemini command exits non-zero.\n- Request direction before retrying failed commands.\n- Before using high-impact flags (`--approval-mode yolo`, `-y`, `--sandbox`), ask the user for permission using `AskUserQuestion` unless already granted.\n- When output includes warnings or partial results, summarize them and ask how to adjust using `AskUserQuestion`.\n\n## Troubleshooting Hung Gemini Processes\n\n### Detection\n```bash\n# Check for hung processes\nps aux | grep -E \"gemini.*gemini-3\" | grep -v grep\n\n# Look for these symptoms:\n# - Process running 20+ minutes\n# - CPU usage at 0%\n# - Process state 'S' (sleeping)\n# - No network connections\n```\n\n### Diagnosis\n```bash\n# Get detailed process info\nps -o pid,etime,pcpu,stat,command -p \u003CPID>\n\n# Check network activity\nlsof -p \u003CPID> 2>\u002Fdev\u002Fnull | grep -E \"(TCP|ESTABLISHED)\" | wc -l\n# If result is 0, process is hung\n```\n\n### Resolution\n```bash\n# Kill hung Gemini processes\npkill -9 -f \"gemini.*gemini-3-pro-preview\"\n\n# Or kill specific PID\nkill -9 \u003CPID>\n\n# Verify cleanup\nps aux | grep gemini | grep -v grep\n```\n\n### Prevention\n- **ALWAYS use `--approval-mode yolo` for background\u002Fautomated tasks**\n- Add timeout wrapper for safety: `timeout 300 gemini ...`\n- Never use `--approval-mode default` in non-interactive shells\n- Monitor first run with `ps` to ensure process completes\n\n## Tips for Large Context Processing\n\n1. **Be specific**: Provide clear, structured prompts for what to analyze\n2. **Use include-directories**: Explicitly specify all relevant directories\n3. **Choose the right model**:\n   - Use `gemini-3-pro-preview` for complex reasoning, coding tasks, and maximum analysis quality (recommended default)\n   - Use `gemini-3-flash` for speed-critical tasks requiring sub-second response times\n   - Use `gemini-2.5-flash` for cost-optimized high-volume processing\n4. **Leverage Gemini 3's strengths**: 35% better at software engineering tasks, exceptional at agentic workflows and vibe coding\n5. **Break down complex tasks**: Even with large context, structured analysis is more effective\n6. **Save findings**: Ask Gemini to output structured reports that can be saved for reference\n\n## CLI Version\n\nRequires Gemini CLI v0.16.0 or later for Gemini 3 model support. Check version: `gemini --version`\n","# Gemini Skill Guide\n\n## When to Use Gemini\n- WHEN ASKED TO BE ACTIVATED\n- **Code Review**: Comprehensive code reviews across multiple files\n- **Plan Review**: Analyzing architectural plans, technical specifications, or project roadmaps\n- **Big Context Processing**: Tasks requiring >200k tokens of context (entire codebases, documentation sets)\n- **Multi-file Analysis**: Understanding relationships and patterns across many files\n\n## ⚠️ Critical: Background\u002FNon-Interactive Mode Warning\n\n**NEVER use `--approval-mode default` in background or non-interactive shells** (like Claude Code tool calls). It will hang indefinitely waiting for approval prompts that cannot be provided.\n\n**For automated\u002Fbackground reviews:**\n- ✅ Use `--approval-mode yolo` for fully automated execution\n- ✅ OR wrap with timeout: `timeout 300 gemini ...`\n- ❌ NEVER use `--approval-mode default` without interactive terminal\n\n**Symptoms of hung Gemini:**\n- Process running 20+ minutes with 0% CPU usage\n- No network activity\n- Process state shows 'S' (sleeping)\n\n**Fix hung process:**\n```bash\n# Check if hung\nps aux | grep gemini | grep -v grep\n\n# Kill if necessary\npkill -9 -f \"gemini.*gemini-3-pro-preview\"\n```\n\n## Running a Task\n\n1. Ask the user (via `AskUserQuestion`) which model to use in a **single prompt**. Available models:\n   - `gemini-3-pro-preview` ⭐ (flagship model, best for coding & complex reasoning, 35% better at software engineering than 2.5 Pro)\n   - `gemini-3-flash` (sub-second latency, distilled from 3 Pro, best for speed-critical tasks)\n   - `gemini-2.5-pro` (legacy option, strong all-around performance)\n   - `gemini-2.5-flash` (legacy option, cost-efficient with thinking capabilities)\n   - `gemini-2.5-flash-lite` (legacy option, fastest processing)\n\n2. Select the approval mode based on the task:\n   - `default`: Prompt for approval (⚠️ ONLY for interactive terminal sessions)\n   - `auto_edit`: Auto-approve edit tools only (for code reviews with suggestions)\n   - `yolo`: Auto-approve all tools (✅ REQUIRED for background\u002Fautomated tasks)\n\n3. Assemble the command with appropriate options:\n   - `-m, --model \u003CMODEL>` - Model selection\n   - `--approval-mode \u003Cdefault|auto_edit|yolo>` - Control tool approval\n   - `-y, --yolo` - Alternative to `--approval-mode yolo`\n   - `-i, --prompt-interactive \"prompt\"` - Execute prompt and continue interactively\n   - `--include-directories \u003CDIR>` - Additional directories to include in workspace\n   - `-s, --sandbox` - Run in sandbox mode for isolation\n\n4. **For background\u002Fautomated tasks, ALWAYS use `--approval-mode yolo`** or add timeout wrapper. NEVER use `default` in non-interactive shells.\n\n5. Run the command and capture the output. For background\u002Fautomated mode:\n   ```bash\n   # Recommended: Use yolo for background tasks\n   gemini -m gemini-3-pro-preview --approval-mode yolo \"Review this codebase for security issues\"\n\n   # Or with timeout (5 min limit)\n   timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo \"Review this codebase\"\n   ```\n\n6. For interactive sessions with an initial prompt:\n   ```bash\n   gemini -m gemini-3-pro-preview -i \"Review the authentication system\" --approval-mode auto_edit\n   ```\n\n7. **After Gemini completes**, inform the user: \"The Gemini analysis is complete. You can start a new Gemini session for follow-up analysis or continue exploring the findings.\"\n\n### Quick Reference\n\n| Use case | Approval mode | Key flags |\n| --- | --- | --- |\n| Background code review | `yolo` ✅ | `-m gemini-3-pro-preview --approval-mode yolo` |\n| Background analysis | `yolo` ✅ | `-m gemini-3-pro-preview --approval-mode yolo` |\n| Background with timeout | `yolo` ✅ | `timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo` |\n| Interactive code review | `default` | `-m gemini-3-pro-preview --approval-mode default` (interactive terminal only) |\n| Code review with auto-edits | `auto_edit` | `-m gemini-3-pro-preview --approval-mode auto_edit` |\n| Automated refactoring | `yolo` | `-m gemini-3-pro-preview --approval-mode yolo` |\n| Speed-critical background | `yolo` ✅ | `-m gemini-3-flash --approval-mode yolo` |\n| Cost-optimized background | `yolo` ✅ | `-m gemini-2.5-flash --approval-mode yolo` |\n| Multi-directory analysis | `yolo` (if background) | `--include-directories \u003CDIR1> --include-directories \u003CDIR2>` |\n| Interactive with prompt | `auto_edit` or `default` | `-i \"prompt\" --approval-mode \u003Cmode>` |\n\n### Model Selection Guide\n\n| Model | Best for | Context window | Key features |\n| --- | --- | --- | --- |\n| `gemini-3-pro-preview` ⭐ | **Flagship model**: Complex reasoning, coding, agentic tasks | 1M input \u002F 64k output | Vibe coding, 76.2% SWE-bench, $2-4\u002FM input |\n| `gemini-3-flash` | Sub-second latency, speed-critical applications | 1M input \u002F 64k output | Distilled from 3 Pro, TPU-optimized |\n| `gemini-2.5-pro` | Legacy: Strong all-around performance | 1M input \u002F 65k output | Thinking mode, mature stability |\n| `gemini-2.5-flash` | Legacy: Cost-efficient, high-volume tasks | 1M input \u002F 65k output | Best price ($0.15\u002FM), thinking mode |\n| `gemini-2.5-flash-lite` | Legacy: Fastest processing, high throughput | 1M input \u002F 65k output | Maximum speed, minimal latency |\n\n**Gemini 3 Advantages**: 35% higher accuracy in software engineering, state-of-the-art on SWE-bench (76.2%), GPQA Diamond (91.9%), and WebDev Arena (1487 Elo). Knowledge cutoff: January 2025.\n\n**Coming Soon**: `gemini-3-deep-think` for ultra-complex reasoning with enhanced thinking capabilities.\n\n## Common Use Cases\n\n### Code Review (Background\u002FAutomated)\n```bash\n# For background execution (Claude Code, CI\u002FCD, etc.)\ngemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Perform a comprehensive code review focusing on:\n   1. Security vulnerabilities\n   2. Performance issues\n   3. Code quality and maintainability\n   4. Best practices violations\"\n\n# With timeout safety (5 minutes)\ntimeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Perform a comprehensive code review...\"\n```\n\n### Plan Review (Background\u002FAutomated)\n```bash\n# For background execution\ngemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Review this architectural plan for:\n   1. Scalability concerns\n   2. Missing components\n   3. Integration challenges\n   4. Alternative approaches\"\n```\n\n### Big Context Analysis (Background\u002FAutomated)\n```bash\n# For background execution\ngemini -m gemini-3-pro-preview --approval-mode yolo \\\n  \"Analyze the entire codebase to understand:\n   1. Overall architecture\n   2. Key patterns and conventions\n   3. Potential technical debt\n   4. Refactoring opportunities\"\n```\n\n### Interactive Code Review (Terminal Only)\n```bash\n# ONLY use default mode in interactive terminal\ngemini -m gemini-3-pro-preview --approval-mode default \\\n  \"Review the authentication flow for security issues\"\n```\n\n## Following Up\n\n- Gemini CLI sessions are typically one-shot or interactive. Unlike Codex, there's no built-in resume functionality.\n- For follow-up analysis, start a new Gemini session with context from previous findings.\n- When proposing follow-up actions, restate the chosen model and approval mode.\n- Use `AskUserQuestion` after each Gemini command to confirm next steps or gather clarifications.\n\n## Error Handling\n\n- Stop and report failures whenever `gemini --version` or a Gemini command exits non-zero.\n- Request direction before retrying failed commands.\n- Before using high-impact flags (`--approval-mode yolo`, `-y`, `--sandbox`), ask the user for permission using `AskUserQuestion` unless already granted.\n- When output includes warnings or partial results, summarize them and ask how to adjust using `AskUserQuestion`.\n\n## Troubleshooting Hung Gemini Processes\n\n### Detection\n```bash\n# Check for hung processes\nps aux | grep -E \"gemini.*gemini-3\" | grep -v grep\n\n# Look for these symptoms:\n# - Process running 20+ minutes\n# - CPU usage at 0%\n# - Process state 'S' (sleeping)\n# - No network connections\n```\n\n### Diagnosis\n```bash\n# Get detailed process info\nps -o pid,etime,pcpu,stat,command -p \u003CPID>\n\n# Check network activity\nlsof -p \u003CPID> 2>\u002Fdev\u002Fnull | grep -E \"(TCP|ESTABLISHED)\" | wc -l\n# If result is 0, process is hung\n```\n\n### Resolution\n```bash\n# Kill hung Gemini processes\npkill -9 -f \"gemini.*gemini-3-pro-preview\"\n\n# Or kill specific PID\nkill -9 \u003CPID>\n\n# Verify cleanup\nps aux | grep gemini | grep -v grep\n```\n\n### Prevention\n- **ALWAYS use `--approval-mode yolo` for background\u002Fautomated tasks**\n- Add timeout wrapper for safety: `timeout 300 gemini ...`\n- Never use `--approval-mode default` in non-interactive shells\n- Monitor first run with `ps` to ensure process completes\n\n## Tips for Large Context Processing\n\n1. **Be specific**: Provide clear, structured prompts for what to analyze\n2. **Use include-directories**: Explicitly specify all relevant directories\n3. **Choose the right model**:\n   - Use `gemini-3-pro-preview` for complex reasoning, coding tasks, and maximum analysis quality (recommended default)\n   - Use `gemini-3-flash` for speed-critical tasks requiring sub-second response times\n   - Use `gemini-2.5-flash` for cost-optimized high-volume processing\n4. **Leverage Gemini 3's strengths**: 35% better at software engineering tasks, exceptional at agentic workflows and vibe coding\n5. **Break down complex tasks**: Even with large context, structured analysis is more effective\n6. **Save findings**: Ask Gemini to output structured reports that can be saved for reference\n\n## CLI Version\n\nRequires Gemini CLI v0.16.0 or later for Gemini 3 model support. Check version: `gemini --version`\n",{"name":5,"description":7},"main","34fa6acf794b9a6310d298cbb8fb8c9420a5edcf","cli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fgemini",2,"https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates","https:\u002F\u002Fgithub.com\u002Ftransaurus","Automated works of Page Turner","2026-03-28 10:12:59",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill gemini",{"tool":62,"command":63},"bunx","bunx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill gemini",{"tool":65,"command":66},"pnpm","pnpm dlx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill gemini","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fgemini\u002FSKILL.md",true,[70],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"README.md","REFERENCE","参考文档",11153,"https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fgemini\u002FREADME.md",[77,104,124,148,168,194],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":86,"publishedAt":43},"01M6JMRJR3BE0HGWFWDZSB853S","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fzapier-make-patterns\u002FSKILL.md",[83],{"categoryNo":84,"categoryName":85,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[87,88,89,90,91,92,93,37,94,95,29,96,97,98,99,100,101,102,25,103],"zapier make patterns","patterns","make","zapier","writing","workflow","automation","integrations","business","power","complexity","platform","apps","how to","No-Code","which","spawner",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":43},"01M6JMR8YK6SWPCTG1MCQTMN9S","yeet","Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FSKILL.md",[],[106,41,111,112,113,114,115,116,117,118,119,120,29,121,122,123],"github","commit","pull request","openai","pull","push","flow","open","gh","user","only","stage","github cli",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":131,"publishedAt":43},"01M6JMQNFE64ZASQK90HARRXW8","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",[130],{"categoryNo":84,"categoryName":85,"taxonomyType":21,"taxonomyTypeDesc":22},[92,93,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,25,103],"Workflow Automation","ai agents","accessibility","workflows","apache","execution","inngest","parallel","orchestrator","resume","n8n","payment","worker","scripts","temporal","with",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":154,"publishedAt":43},"01M6JMQDYJ0XETERPHGDR3EVGN","trigger-dev","Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Ftrigger-dev\u002FSKILL.md",[],[155,156,157,158,159,135,160,136,137,161,29,162,163,164,165,166,167,147,25,103],"dev","trigger dev","trigger","design","typescript","async execution","first","async","developer experience","expert","task","background jobs","long",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":177,"publishedAt":43},"01M6JMQ5J6KK3GSX9FJCWWK6G6","planning-with-files","Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fplanning-with-files\u002FSKILL.md",[174],{"categoryNo":175,"categoryName":176,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[178,179,180,147,181,92,182,183,184,185,186,187,29,188,189,190,191,192,193,25],"planning with files","planning","files","with files","storage","tasks","markdown","knowledge","projects","work","manus","structured output","progress","transforms","multi","output",{"skillNo":195,"name":196,"nameZh":6,"description":197,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":198,"categories":199,"keywords":204,"publishedAt":43},"01M6JMPWAT60RXXNEC4V9TRBRS","n8n-workflow-patterns","Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fn8n\u002Fn8n-workflow-patterns\u002FSKILL.md",[200,203],{"categoryNo":201,"categoryName":202,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":84,"categoryName":85,"taxonomyType":21,"taxonomyTypeDesc":22},[92,205,142,206,88,207,208,135,209,183,179,210,211,212,213,214,215,26,216,217],"n8n workflow patterns","workflow patterns","n8n workflow","ai agent","architecture","database","api","planning workflow","structure","database operations","webhook","http api","scheduled"]