[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F7T7706FACRPJJFSADNEPB":3,"skill-same:01M6F7T7706FACRPJJFSADNEPB":82},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":62,"repositoryHtmlUrl":63,"repositoryHomepageUrl":6,"ownerHtmlUrl":64,"ownerBlogUrl":65,"ownerDescription":66,"updatedAt":67,"install":68,"resources":81},"01M6F7T7706FACRPJJFSADNEPB","lindy-deploy-integration",null,"Configure deployment pipelines for Lindy AI integrations.\nUse when deploying to production, setting up staging environments,\nor automating agent deployments.\nTrigger with phrases like \"deploy lindy\", \"lindy deployment\",\n\"lindy production deploy\", \"release lindy agents\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1979,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-deploy-integration\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"deploy","integration","lindy deploy integration","when","docker","for","environments","deploying to production","with","trigger","io","deployments","up","use","edit","write","read","gh","integrations","configure","Bash","release","deployment","2026-11-10 10:12:30",false,"---\nname: lindy-deploy-integration\ndescription: |\n  Configure deployment pipelines for Lindy AI integrations.\n  Use when deploying to production, setting up staging environments,\n  or automating agent deployments.\n  Trigger with phrases like \"deploy lindy\", \"lindy deployment\",\n  \"lindy production deploy\", \"release lindy agents\".\nallowed-tools: Read, Write, Edit, Bash(gh:*), Bash(docker:*)\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# Lindy Deploy Integration\n\n## Overview\nConfigure deployment pipelines for Lindy AI agent integrations.\n\n## Prerequisites\n- CI pipeline configured (see `lindy-ci-integration`)\n- Production Lindy API key\n- Deployment target (Vercel, AWS, GCP, etc.)\n\n## Instructions\n\n### Step 1: Create Deployment Workflow\n```yaml\n# .github\u002Fworkflows\u002Flindy-deploy.yml\nname: Deploy Lindy Integration\n\non:\n  push:\n    branches: [main]\n  workflow_dispatch:\n\nenv:\n  LINDY_ENVIRONMENT: production\n\njobs:\n  deploy:\n    runs-on: ubuntu-latest\n    environment: production\n\n    steps:\n      - uses: actions\u002Fcheckout@v4\n\n      - name: Setup Node.js\n        uses: actions\u002Fsetup-node@v4\n        with:\n          node-version: '20'\n          cache: 'npm'\n\n      - name: Install dependencies\n        run: npm ci\n\n      - name: Build\n        run: npm run build\n\n      - name: Run pre-deploy checks\n        run: npm run predeploy\n        env:\n          LINDY_API_KEY: ${{ secrets.LINDY_PROD_API_KEY }}\n\n      - name: Deploy to Vercel\n        uses: amondnet\u002Fvercel-action@v25\n        with:\n          vercel-token: ${{ secrets.VERCEL_TOKEN }}\n          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}\n          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}\n          vercel-args: '--prod'\n\n      - name: Sync Lindy agents\n        run: npm run sync:agents\n        env:\n          LINDY_API_KEY: ${{ secrets.LINDY_PROD_API_KEY }}\n\n      - name: Notify Slack\n        if: success()\n        uses: slackapi\u002Fslack-github-action@v1\n        with:\n          payload: |\n            {\n              \"text\": \"Lindy integration deployed successfully\"\n            }\n```\n\n### Step 2: Create Agent Sync Script\n```typescript\n\u002F\u002F scripts\u002Fsync-agents.ts\nimport { Lindy } from '@lindy-ai\u002Fsdk';\nimport fs from 'fs';\n\ninterface AgentConfig {\n  id?: string;\n  name: string;\n  instructions: string;\n  tools: string[];\n}\n\nasync function syncAgents() {\n  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });\n\n  \u002F\u002F Load agent configurations\n  const configPath = '.\u002Fagents\u002Fconfig.json';\n  const configs: AgentConfig[] = JSON.parse(fs.readFileSync(configPath, 'utf-8'));\n\n  for (const config of configs) {\n    if (config.id) {\n      \u002F\u002F Update existing agent\n      await lindy.agents.update(config.id, {\n        name: config.name,\n        instructions: config.instructions,\n        tools: config.tools,\n      });\n      console.log(`Updated agent: ${config.id}`);\n    } else {\n      \u002F\u002F Create new agent\n      const agent = await lindy.agents.create({\n        name: config.name,\n        instructions: config.instructions,\n        tools: config.tools,\n      });\n      console.log(`Created agent: ${agent.id}`);\n\n      \u002F\u002F Update config with new ID\n      config.id = agent.id;\n    }\n  }\n\n  \u002F\u002F Save updated config\n  fs.writeFileSync(configPath, JSON.stringify(configs, null, 2));\n}\n\nsyncAgents().catch(console.error);\n```\n\n### Step 3: Configure Environments\n```yaml\n# .github\u002Fworkflows\u002Flindy-deploy-staging.yml\nname: Deploy to Staging\n\non:\n  push:\n    branches: [develop]\n\njobs:\n  deploy:\n    environment: staging\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions\u002Fcheckout@v4\n      - run: npm ci\n      - run: npm run build\n      - run: npm run deploy:staging\n        env:\n          LINDY_API_KEY: ${{ secrets.LINDY_STAGING_API_KEY }}\n```\n\n### Step 4: Add Rollback Capability\n```typescript\n\u002F\u002F scripts\u002Frollback.ts\nimport { Lindy } from '@lindy-ai\u002Fsdk';\n\nasync function rollback(agentId: string, version: string) {\n  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });\n\n  \u002F\u002F Get version history\n  const versions = await lindy.agents.versions.list(agentId);\n  const targetVersion = versions.find(v => v.id === version);\n\n  if (!targetVersion) {\n    throw new Error(`Version ${version} not found`);\n  }\n\n  \u002F\u002F Restore to previous version\n  await lindy.agents.versions.restore(agentId, version);\n  console.log(`Rolled back agent ${agentId} to version ${version}`);\n}\n\nrollback(process.argv[2], process.argv[3]).catch(console.error);\n```\n\n## Output\n- Automated deployment pipeline\n- Agent sync mechanism\n- Environment-specific deployments\n- Rollback capability\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Deploy failed | Build error | Check build logs |\n| Agent sync failed | Invalid config | Validate JSON |\n| Rollback failed | Version missing | Check version history |\n\n## Examples\n\n### Docker Deployment\n```yaml\n# Dockerfile\nFROM node:20-alpine\nWORKDIR \u002Fapp\nCOPY package*.json .\u002F\nRUN npm ci --production\nCOPY dist .\u002Fdist\nENV NODE_ENV=production\nCMD [\"node\", \"dist\u002Findex.js\"]\n```\n\n```yaml\n# Deploy job\n- name: Build and push Docker image\n  run: |\n    docker build -t my-lindy-app:${{ github.sha }} .\n    docker push my-lindy-app:${{ github.sha }}\n```\n\n## Resources\n- [Lindy Deployment Guide](https:\u002F\u002Fdocs.lindy.ai\u002Fdeployment)\n- [Vercel Documentation](https:\u002F\u002Fvercel.com\u002Fdocs)\n- [GitHub Environments](https:\u002F\u002Fdocs.github.com\u002Fen\u002Factions\u002Fdeployment)\n\n## Next Steps\nProceed to `lindy-webhooks-events` for event handling.\n","# Lindy Deploy Integration\n\n## Overview\nConfigure deployment pipelines for Lindy AI agent integrations.\n\n## Prerequisites\n- CI pipeline configured (see `lindy-ci-integration`)\n- Production Lindy API key\n- Deployment target (Vercel, AWS, GCP, etc.)\n\n## Instructions\n\n### Step 1: Create Deployment Workflow\n```yaml\n# .github\u002Fworkflows\u002Flindy-deploy.yml\nname: Deploy Lindy Integration\n\non:\n  push:\n    branches: [main]\n  workflow_dispatch:\n\nenv:\n  LINDY_ENVIRONMENT: production\n\njobs:\n  deploy:\n    runs-on: ubuntu-latest\n    environment: production\n\n    steps:\n      - uses: actions\u002Fcheckout@v4\n\n      - name: Setup Node.js\n        uses: actions\u002Fsetup-node@v4\n        with:\n          node-version: '20'\n          cache: 'npm'\n\n      - name: Install dependencies\n        run: npm ci\n\n      - name: Build\n        run: npm run build\n\n      - name: Run pre-deploy checks\n        run: npm run predeploy\n        env:\n          LINDY_API_KEY: ${{ secrets.LINDY_PROD_API_KEY }}\n\n      - name: Deploy to Vercel\n        uses: amondnet\u002Fvercel-action@v25\n        with:\n          vercel-token: ${{ secrets.VERCEL_TOKEN }}\n          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}\n          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}\n          vercel-args: '--prod'\n\n      - name: Sync Lindy agents\n        run: npm run sync:agents\n        env:\n          LINDY_API_KEY: ${{ secrets.LINDY_PROD_API_KEY }}\n\n      - name: Notify Slack\n        if: success()\n        uses: slackapi\u002Fslack-github-action@v1\n        with:\n          payload: |\n            {\n              \"text\": \"Lindy integration deployed successfully\"\n            }\n```\n\n### Step 2: Create Agent Sync Script\n```typescript\n\u002F\u002F scripts\u002Fsync-agents.ts\nimport { Lindy } from '@lindy-ai\u002Fsdk';\nimport fs from 'fs';\n\ninterface AgentConfig {\n  id?: string;\n  name: string;\n  instructions: string;\n  tools: string[];\n}\n\nasync function syncAgents() {\n  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });\n\n  \u002F\u002F Load agent configurations\n  const configPath = '.\u002Fagents\u002Fconfig.json';\n  const configs: AgentConfig[] = JSON.parse(fs.readFileSync(configPath, 'utf-8'));\n\n  for (const config of configs) {\n    if (config.id) {\n      \u002F\u002F Update existing agent\n      await lindy.agents.update(config.id, {\n        name: config.name,\n        instructions: config.instructions,\n        tools: config.tools,\n      });\n      console.log(`Updated agent: ${config.id}`);\n    } else {\n      \u002F\u002F Create new agent\n      const agent = await lindy.agents.create({\n        name: config.name,\n        instructions: config.instructions,\n        tools: config.tools,\n      });\n      console.log(`Created agent: ${agent.id}`);\n\n      \u002F\u002F Update config with new ID\n      config.id = agent.id;\n    }\n  }\n\n  \u002F\u002F Save updated config\n  fs.writeFileSync(configPath, JSON.stringify(configs, null, 2));\n}\n\nsyncAgents().catch(console.error);\n```\n\n### Step 3: Configure Environments\n```yaml\n# .github\u002Fworkflows\u002Flindy-deploy-staging.yml\nname: Deploy to Staging\n\non:\n  push:\n    branches: [develop]\n\njobs:\n  deploy:\n    environment: staging\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions\u002Fcheckout@v4\n      - run: npm ci\n      - run: npm run build\n      - run: npm run deploy:staging\n        env:\n          LINDY_API_KEY: ${{ secrets.LINDY_STAGING_API_KEY }}\n```\n\n### Step 4: Add Rollback Capability\n```typescript\n\u002F\u002F scripts\u002Frollback.ts\nimport { Lindy } from '@lindy-ai\u002Fsdk';\n\nasync function rollback(agentId: string, version: string) {\n  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });\n\n  \u002F\u002F Get version history\n  const versions = await lindy.agents.versions.list(agentId);\n  const targetVersion = versions.find(v => v.id === version);\n\n  if (!targetVersion) {\n    throw new Error(`Version ${version} not found`);\n  }\n\n  \u002F\u002F Restore to previous version\n  await lindy.agents.versions.restore(agentId, version);\n  console.log(`Rolled back agent ${agentId} to version ${version}`);\n}\n\nrollback(process.argv[2], process.argv[3]).catch(console.error);\n```\n\n## Output\n- Automated deployment pipeline\n- Agent sync mechanism\n- Environment-specific deployments\n- Rollback capability\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Deploy failed | Build error | Check build logs |\n| Agent sync failed | Invalid config | Validate JSON |\n| Rollback failed | Version missing | Check version history |\n\n## Examples\n\n### Docker Deployment\n```yaml\n# Dockerfile\nFROM node:20-alpine\nWORKDIR \u002Fapp\nCOPY package*.json .\u002F\nRUN npm ci --production\nCOPY dist .\u002Fdist\nENV NODE_ENV=production\nCMD [\"node\", \"dist\u002Findex.js\"]\n```\n\n```yaml\n# Deploy job\n- name: Build and push Docker image\n  run: |\n    docker build -t my-lindy-app:${{ github.sha }} .\n    docker push my-lindy-app:${{ github.sha }}\n```\n\n## Resources\n- [Lindy Deployment Guide](https:\u002F\u002Fdocs.lindy.ai\u002Fdeployment)\n- [Vercel Documentation](https:\u002F\u002Fvercel.com\u002Fdocs)\n- [GitHub Environments](https:\u002F\u002Fdocs.github.com\u002Fen\u002Factions\u002Fdeployment)\n\n## Next Steps\nProceed to `lindy-webhooks-events` for event handling.\n",{"name":5,"author":55,"license":15,"version":56,"description":57,"allowed-tools":58},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Configure deployment pipelines for Lindy AI integrations.\nUse when deploying to production, setting up staging environments,\nor automating agent deployments.\nTrigger with phrases like \"deploy lindy\", \"lindy deployment\",\n\"lindy production deploy\", \"release lindy agents\".\n","Read, Write, Edit, Bash(gh:*), Bash(docker:*)","main","90b50ed0778745a80fd5bfb13b1843d45b9e82f7","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-deploy-integration",231,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-11 01:23:40",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":80},[70,73,76],{"tool":71,"command":72},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill lindy-deploy-integration",{"tool":74,"command":75},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill lindy-deploy-integration",{"tool":77,"command":78},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill lindy-deploy-integration","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-deploy-integration\u002FSKILL.md",true,[],[83,120,144,170,194,216],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":87,"licenseFileUrl":88,"sourceHtmlUrl":89,"categories":90,"keywords":94,"publishedAt":50},"01M6FEGPPK0ZTKCCM0R3E3KS33","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). 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Browser automation, library management, persistent auth. 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Provides constraints, validation tools, and animation concepts. 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