[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CXKBVVS13QQAWQH91M2DRB":3,"skill-same:01M6CXKBVVS13QQAWQH91M2DRB":110},{"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":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":64,"commitSha":65,"skillDirectory":66,"forksCount":67,"repositoryHtmlUrl":68,"repositoryHomepageUrl":69,"ownerHtmlUrl":70,"ownerBlogUrl":71,"ownerDescription":72,"updatedAt":73,"install":74,"resources":87},"01M6CXKBVVS13QQAWQH91M2DRB","atlassian-mcp",null,"Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.","eric861129\u002FSKILLS_All-in-one","eric861129","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F74950944?v=4","01M6CXHDYEYRPFGGV4EFXCSYCF","ChiYu-Huang","01M6CXHE2J5CN1EBTY0FKV3ZKW",52,"MIT","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"atlassian mcp","atlassian","MCP","api","project","expert","filters","up","reviewer","designer","wiki","server","issues","authentication","code","debugging","jira","documentation","mcp server","security","2026-11-10 10:12:30",false,"---\nname: atlassian-mcp\ndescription: Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.\nlicense: MIT\nmetadata:\n  author: https:\u002F\u002Fgithub.com\u002FJeffallan\n  version: \"1.1.0\"\n  domain: platform\n  triggers: Jira, Confluence, Atlassian, MCP, tickets, issues, wiki, JQL, CQL, sprint, backlog, project management\n  role: expert\n  scope: implementation\n  output-format: code\n  related-skills: mcp-developer, api-designer, security-reviewer\n---\n\n# Atlassian MCP Expert\n\n## When to Use This Skill\n\n- Querying Jira issues with JQL filters\n- Searching or creating Confluence pages\n- Automating sprint workflows and backlog management\n- Setting up MCP server authentication (OAuth\u002FAPI tokens)\n- Syncing meeting notes to Jira tickets\n- Generating documentation from issue data\n- Debugging Atlassian API integration issues\n- Choosing between official vs open-source MCP servers\n\n## Core Workflow\n\n1. **Select server** - Choose official cloud, open-source, or self-hosted MCP server\n2. **Authenticate** - Configure OAuth 2.1, API tokens, or PAT credentials\n3. **Design queries** - Write JQL for Jira, CQL for Confluence; validate with `maxResults=1` before full execution\n4. **Implement workflow** - Build tool calls, handle pagination, error recovery\n5. **Verify permissions** - Confirm required scopes with a read-only probe before any write or bulk operation\n6. **Deploy** - Configure IDE integration, test permissions, monitor rate limits\n\n## Reference Guide\n\nLoad detailed guidance based on context:\n\n| Topic | Reference | Load When |\n|-------|-----------|-----------|\n| Server Setup | `references\u002Fmcp-server-setup.md` | Installation, choosing servers, configuration |\n| Jira Operations | `references\u002Fjira-queries.md` | JQL syntax, issue CRUD, sprints, boards, issue linking |\n| Confluence Ops | `references\u002Fconfluence-operations.md` | CQL search, page creation, spaces, comments |\n| Authentication | `references\u002Fauthentication-patterns.md` | OAuth 2.0, API tokens, permission scopes |\n| Common Workflows | `references\u002Fcommon-workflows.md` | Issue triage, doc sync, sprint automation |\n\n## Quick-Start Examples\n\n### JQL Query Samples\n```\n# Open issues assigned to current user in a sprint\nproject = PROJ AND status = \"In Progress\" AND assignee = currentUser() ORDER BY priority DESC\n\n# Unresolved bugs created in the last 7 days\nproject = PROJ AND issuetype = Bug AND status != Done AND created >= -7d ORDER BY created DESC\n\n# Validate before bulk: test with maxResults=1 first\nproject = PROJ AND sprint in openSprints() AND status = Open ORDER BY created DESC\n```\n\n### CQL Query Samples\n```\n# Find pages updated in a specific space recently\nspace = \"ENG\" AND type = page AND lastModified >= \"2024-01-01\" ORDER BY lastModified DESC\n\n# Search page text for a keyword\nspace = \"ENG\" AND type = page AND text ~ \"deployment runbook\"\n```\n\n### Minimal MCP Server Configuration\n```json\n{\n  \"mcpServers\": {\n    \"atlassian\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@sooperset\u002Fmcp-atlassian\"],\n      \"env\": {\n        \"JIRA_URL\": \"https:\u002F\u002Fyour-domain.atlassian.net\",\n        \"JIRA_EMAIL\": \"user@example.com\",\n        \"JIRA_API_TOKEN\": \"${JIRA_API_TOKEN}\",\n        \"CONFLUENCE_URL\": \"https:\u002F\u002Fyour-domain.atlassian.net\u002Fwiki\",\n        \"CONFLUENCE_EMAIL\": \"user@example.com\",\n        \"CONFLUENCE_API_TOKEN\": \"${CONFLUENCE_API_TOKEN}\"\n      }\n    }\n  }\n}\n```\n> **Note:** Always load `JIRA_API_TOKEN` and `CONFLUENCE_API_TOKEN` from environment variables or a secrets manager — never hardcode credentials.\n\n## Constraints\n\n### MUST DO\n- Respect user permissions and workspace access controls\n- Validate JQL\u002FCQL queries before execution (use `maxResults=1` probe first)\n- Handle rate limits with exponential backoff\n- Use pagination for large result sets (50-100 items per page)\n- Implement error recovery for network failures\n- Log API calls for debugging and audit trails\n- Test with read-only operations first\n- Document required permission scopes\n- Confirm before any write or bulk operation against production data\n\n### MUST NOT DO\n- Hardcode API tokens or OAuth secrets in code\n- Ignore rate limit headers from Atlassian APIs\n- Create issues without validating required fields\n- Skip input sanitization on user-provided query strings\n- Deploy without testing permission boundaries\n- Update production data without confirmation prompts\n- Mix different authentication methods in same session\n- Expose sensitive issue data in logs or error messages\n\n## Output Templates\n\nWhen implementing Atlassian MCP features, provide:\n1. MCP server configuration (JSON\u002Fenvironment vars)\n2. Query examples (JQL\u002FCQL with explanations)\n3. Tool call implementation with error handling\n4. Authentication setup instructions\n5. Brief explanation of permission requirements\n","# Atlassian MCP Expert\n\n## When to Use This Skill\n\n- Querying Jira issues with JQL filters\n- Searching or creating Confluence pages\n- Automating sprint workflows and backlog management\n- Setting up MCP server authentication (OAuth\u002FAPI tokens)\n- Syncing meeting notes to Jira tickets\n- Generating documentation from issue data\n- Debugging Atlassian API integration issues\n- Choosing between official vs open-source MCP servers\n\n## Core Workflow\n\n1. **Select server** - Choose official cloud, open-source, or self-hosted MCP server\n2. **Authenticate** - Configure OAuth 2.1, API tokens, or PAT credentials\n3. **Design queries** - Write JQL for Jira, CQL for Confluence; validate with `maxResults=1` before full execution\n4. **Implement workflow** - Build tool calls, handle pagination, error recovery\n5. **Verify permissions** - Confirm required scopes with a read-only probe before any write or bulk operation\n6. **Deploy** - Configure IDE integration, test permissions, monitor rate limits\n\n## Reference Guide\n\nLoad detailed guidance based on context:\n\n| Topic | Reference | Load When |\n|-------|-----------|-----------|\n| Server Setup | `references\u002Fmcp-server-setup.md` | Installation, choosing servers, configuration |\n| Jira Operations | `references\u002Fjira-queries.md` | JQL syntax, issue CRUD, sprints, boards, issue linking |\n| Confluence Ops | `references\u002Fconfluence-operations.md` | CQL search, page creation, spaces, comments |\n| Authentication | `references\u002Fauthentication-patterns.md` | OAuth 2.0, API tokens, permission scopes |\n| Common Workflows | `references\u002Fcommon-workflows.md` | Issue triage, doc sync, sprint automation |\n\n## Quick-Start Examples\n\n### JQL Query Samples\n```\n# Open issues assigned to current user in a sprint\nproject = PROJ AND status = \"In Progress\" AND assignee = currentUser() ORDER BY priority DESC\n\n# Unresolved bugs created in the last 7 days\nproject = PROJ AND issuetype = Bug AND status != Done AND created >= -7d ORDER BY created DESC\n\n# Validate before bulk: test with maxResults=1 first\nproject = PROJ AND sprint in openSprints() AND status = Open ORDER BY created DESC\n```\n\n### CQL Query Samples\n```\n# Find pages updated in a specific space recently\nspace = \"ENG\" AND type = page AND lastModified >= \"2024-01-01\" ORDER BY lastModified DESC\n\n# Search page text for a keyword\nspace = \"ENG\" AND type = page AND text ~ \"deployment runbook\"\n```\n\n### Minimal MCP Server Configuration\n```json\n{\n  \"mcpServers\": {\n    \"atlassian\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@sooperset\u002Fmcp-atlassian\"],\n      \"env\": {\n        \"JIRA_URL\": \"https:\u002F\u002Fyour-domain.atlassian.net\",\n        \"JIRA_EMAIL\": \"user@example.com\",\n        \"JIRA_API_TOKEN\": \"${JIRA_API_TOKEN}\",\n        \"CONFLUENCE_URL\": \"https:\u002F\u002Fyour-domain.atlassian.net\u002Fwiki\",\n        \"CONFLUENCE_EMAIL\": \"user@example.com\",\n        \"CONFLUENCE_API_TOKEN\": \"${CONFLUENCE_API_TOKEN}\"\n      }\n    }\n  }\n}\n```\n> **Note:** Always load `JIRA_API_TOKEN` and `CONFLUENCE_API_TOKEN` from environment variables or a secrets manager — never hardcode credentials.\n\n## Constraints\n\n### MUST DO\n- Respect user permissions and workspace access controls\n- Validate JQL\u002FCQL queries before execution (use `maxResults=1` probe first)\n- Handle rate limits with exponential backoff\n- Use pagination for large result sets (50-100 items per page)\n- Implement error recovery for network failures\n- Log API calls for debugging and audit trails\n- Test with read-only operations first\n- Document required permission scopes\n- Confirm before any write or bulk operation against production data\n\n### MUST NOT DO\n- Hardcode API tokens or OAuth secrets in code\n- Ignore rate limit headers from Atlassian APIs\n- Create issues without validating required fields\n- Skip input sanitization on user-provided query strings\n- Deploy without testing permission boundaries\n- Update production data without confirmation prompts\n- Mix different authentication methods in same session\n- Expose sensitive issue data in logs or error messages\n\n## Output Templates\n\nWhen implementing Atlassian MCP features, provide:\n1. MCP server configuration (JSON\u002Fenvironment vars)\n2. Query examples (JQL\u002FCQL with explanations)\n3. Tool call implementation with error handling\n4. Authentication setup instructions\n5. Brief explanation of permission requirements\n",{"name":5,"license":15,"metadata":57,"description":7},{"role":37,"scope":58,"author":59,"domain":60,"version":61,"triggers":62,"output-format":46,"related-skills":63},"implementation","https:\u002F\u002Fgithub.com\u002FJeffallan","platform","1.1.0","Jira, Confluence, Atlassian, MCP, tickets, issues, wiki, JQL, CQL, sprint, backlog, project management","mcp-developer, api-designer, security-reviewer","main","cbdd44aae21131521c09e42762e36178c790eacf","public\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp",13,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one","http:\u002F\u002Fhuangchiyu.com\u002FSKILLS_All-in-one\u002F","https:\u002F\u002Fgithub.com\u002Feric861129","https:\u002F\u002Fhuangchiyu.com\u002FChiYu-Blog\u002F","開發工程師，專注於 C#／.NET 系統現代化、AI-assisted engineering、開源工具與技術寫作。","2026-04-16 14:28:14",{"source":8,"skillName":5,"commands":75,"prompt":85,"zipAvailable":86},[76,79,82],{"tool":77,"command":78},"npx","npx skills add eric861129\u002FSKILLS_All-in-one --skill atlassian-mcp",{"tool":80,"command":81},"bunx","bunx skills add eric861129\u002FSKILLS_All-in-one --skill atlassian-mcp",{"tool":83,"command":84},"pnpm","pnpm dlx skills add eric861129\u002FSKILLS_All-in-one --skill atlassian-mcp","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002FSKILL.md",true,[88,94,98,102,106],{"path":89,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Fauthentication-patterns.md","REFERENCE","参考文档",13422,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002Freferences\u002Fauthentication-patterns.md",{"path":95,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":96,"sourceHtmlUrl":97},"references\u002Fcommon-workflows.md",18860,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002Freferences\u002Fcommon-workflows.md",{"path":99,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":100,"sourceHtmlUrl":101},"references\u002Fconfluence-operations.md",12713,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002Freferences\u002Fconfluence-operations.md",{"path":103,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":104,"sourceHtmlUrl":105},"references\u002Fjira-queries.md",12577,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002Freferences\u002Fjira-queries.md",{"path":107,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":108,"sourceHtmlUrl":109},"references\u002Fmcp-server-setup.md",6958,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FCollaboration & Project Management\u002Fatlassian-mcp\u002Freferences\u002Fmcp-server-setup.md",[111,139,170,192,217,237],{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":118,"publishedAt":52},"01M6CZ1WR3KNVTKSWH4GNWT646","what-if-oracle","Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like \"what if...\", \"what would happen if...\", \"what are the possibilities\", \"explore scenarios\", \"scenario analysis\", \"possibility space\", \"what could go wrong\", \"best case \u002F worst case\", \"risk analysis\", \"contingency planning\", \"strategic options\", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fwhat-if-oracle\u002FSKILL.md",[117],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138],"oracle","what if oracle","go","run","planning","ux","futures","risk","analysis","explore","decision","branch","question","read","write","idea","exploration","options","stress-test","strategies",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":155,"publishedAt":52},"01M6CZ1QHGJE91A95MSN5EK5Q9","venue-templates","Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fvenue-templates\u002FSKILL.md",[145,148,151,152],{"categoryNo":146,"categoryName":147,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":153,"categoryName":154,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000036","内容创作者",[156,157,158,159,160,161,162,163,164,165,132,133,166,167,168,169],"templates","venue templates","research","guidelines","NeurIPS","ICML","LaTeX","science","Bash","access","edit","proposals","Academic","requirements",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":178,"publishedAt":52},"01M6CZ1KBQD2E5RTFB3BGVX7CD","the-fool","Use when challenging ideas, plans, decisions, or proposals using structured critical reasoning. Invoke to play devil's advocate, run a pre-mortem, red team, or audit evidence and assumptions.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fthe-fool\u002FSKILL.md",[176,177],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},[179,180,121,181,182,122,46,183,184,185,186,41,40,187,167,188,189,37,190,191],"the fool","review","workflow","architecture","audit","forge","devil","team","challenge","stress test","evidence","poke","ideas",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":201,"publishedAt":52},"01M6CZ1ES826S7P1X3333E40TA","scientific-writing","Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA\u002FAMA\u002FVancouver), figures\u002Ftables, reporting guidelines (CONSORT\u002FSTROBE\u002FPRISMA), for research papers and journal submissions.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fscientific-writing\u002FSKILL.md",[198,199,200],{"categoryNo":146,"categoryName":147,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":153,"categoryName":154,"taxonomyType":29,"taxonomyTypeDesc":30},[202,203,159,204,205,206,207,208,164,209,132,133,166,210,211,212,213,214,215,216],"writing","scientific writing","core","reporting","deep research","Citations","Outlines","tool","use","never","structure","deep","full","stage","prisma",{"skillNo":218,"name":219,"nameZh":6,"description":220,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":221,"categories":222,"keywords":224,"publishedAt":52},"01M6CZ1B2JGJTB9FRD0TW4RXXE","scientific-brainstorming","Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fscientific-brainstorming\u002FSKILL.md",[223],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[225,226,158,227,123,228,229,230,210,231,232,233,135,234,235,215,236],"brainstorming","scientific brainstorming","sessions","data","hypothesis","open","ideation","creative","do","connections","research ideation","generation",{"skillNo":238,"name":239,"nameZh":6,"description":240,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":241,"categories":242,"keywords":247,"publishedAt":52},"01M6CZ16JG8N7A2ZX04BGE8J2Y","research-lookup","Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fresearch-lookup\u002FSKILL.md",[243,244,245,246],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},[158,248,249,250,228,251,35,164,252,253,132,133,166,210,254,39,255,256,257,168],"lookup","research lookup","search","perplexity","parallel","openrouter","backend","look","queries","chat"]