[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-bytedance-consulting-analysis-ms":3,"guides-for-bytedance-consulting-analysis":244,"similar-k176ga1hjc9xypsg08fe6avj1s86664j":245},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":189,"isFallback":194,"parentExtension":195,"providers":196,"relations":201,"repo":203,"workflow":241},1778053100136.2412,"k176ga1hjc9xypsg08fe6avj1s86664j",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.",{},"Professional Research Report Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/consulting-analysis",[15,16,17,18,19],"research","reporting","analysis","consulting","framework",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":178,"workflow":187},1778053169012.8179,"kn7b13bqdrw3wezaw1jcbqrq8x8678ae","en",{"checks":25,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[26,31,34,38,42,46,50,53,57,61,65,68,71,74,77,81,84,87,91,94,97,101,105,108,112,115,118,121,124,127,130,134,137,141,146,149,152,155,158,162,165],{"category":27,"check":28,"severity":29,"summary":30},"Invocation","Precise Purpose","pass","The description clearly states the skill's purpose: generating professional research reports in two phases, and provides a good list of positive triggers and boundaries.",{"category":27,"check":32,"severity":29,"summary":33},"Concise Frontmatter","The frontmatter is concise, clearly defines the skill's core capability, and lists relevant trigger phrases.",{"category":35,"check":36,"severity":29,"summary":37},"Documentation","Concise Body","The skill body is well-structured with progressive disclosure, keeping the main SKILL.md file concise and delegating detailed procedures to separate files.",{"category":39,"check":40,"severity":29,"summary":41},"Context","Progressive Disclosure","Long procedures and detailed material are appropriately delegated to separate reference files, adhering to progressive disclosure.",{"category":39,"check":43,"severity":44,"summary":45},"Forked exploration","not_applicable","The skill is designed for report generation and analysis framework creation, not deep exploration or code review, so 'context: fork' is not applicable.",{"category":47,"check":48,"severity":29,"summary":49},"Practical Utility","Usage examples","Detailed examples for both Phase 1 (framework generation) and Phase 2 (report generation) are provided, including input, expected output, and workflow.",{"category":47,"check":51,"severity":29,"summary":52},"Edge cases","The skill handles edge cases by explicitly mentioning 'Data not available' for missing data and outlining recovery steps for missing P0 data, ensuring robustness.",{"category":54,"check":55,"severity":44,"summary":56},"Code Execution","Tool Fallback","The skill relies on Claude-internal tools and does not reference external MCP servers or specific versions, making fallback irrelevant.",{"category":58,"check":59,"severity":29,"summary":60},"Portability","Stack assumptions","The skill clearly states its reliance on Claude-internal tools and Markdown output, with no specific external stack assumptions mentioned.",{"category":62,"check":63,"severity":29,"summary":64},"Safety","Halt on unexpected state","The skill's Phase 1 checklist explicitly states that P0 data requirements must be met, and Phase 2 notes that missing P0 data will be flagged, indicating a halt on unexpected state.",{"category":58,"check":66,"severity":29,"summary":67},"Cross-skill coupling","The skill clearly defines its role in producing frameworks and reports, and explicitly states it does not perform data collection, relying on other skills for that task.",{"category":47,"check":69,"severity":29,"summary":70},"Problem relevance","The description clearly names the concrete user problem of generating professional research reports across various domains.",{"category":47,"check":72,"severity":29,"summary":73},"Unique selling proposition","The skill offers a two-phase approach (framework generation, then report synthesis) with specific consulting-grade standards, providing distinct value over a simple prompt.",{"category":47,"check":75,"severity":29,"summary":76},"Production readiness","The skill covers the complete lifecycle from framework generation to final report synthesis, with clear inputs, outputs, and phase handoffs, making it production-ready.",{"category":78,"check":79,"severity":29,"summary":80},"Scope","Single responsibility principle","The skill has a clear focus on generating research report frameworks and final reports, explicitly stating it does not perform data collection, adhering to a single responsibility.",{"category":78,"check":82,"severity":29,"summary":83},"Description quality","The description is accurate, well-structured, and clearly outlines the skill's two-phase operation and capabilities.",{"category":27,"check":85,"severity":44,"summary":86},"Scoped tools","This skill operates as a prompt-based agent and does not expose specific tools or commands, making the 'scoped tools' check not applicable.",{"category":35,"check":88,"severity":89,"summary":90},"Configuration & parameter reference","info","The skill mentions an `output_locale` setting but does not provide a full reference or default value, implying a potential implicit parameter.",{"category":78,"check":92,"severity":44,"summary":93},"Tool naming","The skill does not expose user-facing tools or commands, so tool naming is not applicable.",{"category":78,"check":95,"severity":44,"summary":96},"Minimal I/O surface","As a prompt-based skill, it doesn't have explicit tool input/output schemas in the traditional sense, making this check not applicable.",{"category":98,"check":99,"severity":29,"summary":100},"License","License usability","The extension is licensed under the MIT License, which is a permissive open-source license.",{"category":102,"check":103,"severity":44,"summary":104},"Maintenance","Commit recency","No commit data is available for this repository.",{"category":102,"check":106,"severity":44,"summary":107},"Dependency Management","No third-party dependencies are explicitly managed or listed for this skill.",{"category":109,"check":110,"severity":44,"summary":111},"Security","Secret Management","The skill does not appear to use or handle secrets directly.",{"category":109,"check":113,"severity":29,"summary":114},"Injection","The skill's instructions emphasize data authenticity and no hallucination, and the prompt design implicitly treats external data as untrusted.",{"category":109,"check":116,"severity":29,"summary":117},"Transitive Supply-Chain Grenades","The skill does not appear to fetch remote content or execute external scripts at runtime.",{"category":109,"check":119,"severity":44,"summary":120},"Sandbox Isolation","As a prompt-based skill, it does not directly interact with a file system or execute code in a way that would require sandbox isolation checks.",{"category":109,"check":122,"severity":44,"summary":123},"Sandbox escape primitives","The skill is prompt-based and does not involve script execution or detached processes, making sandbox escape checks not applicable.",{"category":109,"check":125,"severity":29,"summary":126},"Data Exfiltration","The skill's core function is report generation based on provided data, and it does not instruct the agent to exfiltrate data to third parties.",{"category":109,"check":128,"severity":29,"summary":129},"Hidden Text Tricks","The bundled SKILL.md content is clean, readable Markdown without hidden text tricks or suspicious formatting.",{"category":131,"check":132,"severity":44,"summary":133},"Hooks","Opaque code execution","The skill is defined in Markdown and does not involve bundled scripts or opaque code execution.",{"category":58,"check":135,"severity":29,"summary":136},"Structural Assumption","The skill relies on the structured output of other skills and does not make assumptions about user project file layouts.",{"category":138,"check":139,"severity":44,"summary":140},"Trust","Issues Attention","No issue data is available for this repository.",{"category":142,"check":143,"severity":144,"summary":145},"Versioning","Release Management","warning","No 'Manifest Version' or explicit versioning found in the SKILL.md frontmatter or associated files. Install instructions likely default to 'main'.",{"category":54,"check":147,"severity":44,"summary":148},"Validation","As a prompt-based skill, it does not involve executable code or structured output that requires validation libraries.",{"category":109,"check":150,"severity":44,"summary":151},"Unguarded Destructive Operations","The skill's operations are analytical and generative, not destructive, making this check not applicable.",{"category":54,"check":153,"severity":29,"summary":154},"Error Handling","The skill's documentation clearly outlines how it handles missing data (Phase 1 checklist, Phase 2 notes) and emphasizes admitting data gaps, which constitutes meaningful error reporting.",{"category":54,"check":156,"severity":44,"summary":157},"Logging","This skill is prompt-based and does not involve destructive actions or outbound calls that would require local audit logging.",{"category":159,"check":160,"severity":89,"summary":161},"Compliance","GDPR","The skill operates on user-provided data for report generation, and while it doesn't explicitly handle personal data, it doesn't have extra sanitization, meaning personal data could be submitted to the LLM.",{"category":159,"check":163,"severity":29,"summary":164},"Target market","The skill mentions 'GB/T 7714-2015' for reference formatting and `output_locale` with a default of `zh_CN` (Chinese), but the core analytical frameworks are global. The 'global' market target is appropriate.",{"category":58,"check":166,"severity":29,"summary":167},"Runtime stability","The skill relies on Claude Code runtime and Markdown processing, with no specific OS or shell assumptions.",1778053125885,"This skill generates structured analysis frameworks and final consulting-grade reports. It operates in two phases: first creating an analysis blueprint with data requirements and then synthesizing collected data into a polished Markdown report, adhering to professional consulting standards.","2.0.0","3.4.0","This skill is well-documented, follows a clear two-phase process, and adheres to best practices for prompt-based operations. The 'Release Management' check returned a warning due to the lack of explicit versioning, and 'GDPR' is 'info' as personal data could be submitted to the LLM. However, these are minor issues given the overall quality.",92,"A high-quality skill for generating professional research report frameworks and final reports.",[15,16,17,18,19],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778053117027,{"descriptionLength":182,"readmeSize":8},623,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778053169012,{"githubOwner":190,"githubRepo":191,"locale":23,"slug":192,"type":193},"bytedance","deer-flow","consulting-analysis","skill",true,null,{"extract":197,"llm":200},{"commitSha":198,"license":199},"1336872b15c25d45ebcb7c1cf72369c2bdd53187","MIT",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":202},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":238},1777995558409.9045,{"githubOwner":190,"githubRepo":191,"sourceUrl":206},"https://github.com/bytedance/deer-flow",{"discover":208,"github":211},{"sources":209},[210],"skills-sh",{"closedIssues90d":212,"forks":213,"homepage":214,"license":199,"openIssues90d":215,"pushedAt":216,"readmeSize":217,"stars":218,"topics":219},389,8629,"https://deerflow.tech",356,1778052455000,38642,65247,[220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237],"agent","agentic","agentic-framework","agentic-workflow","ai","ai-agents","deep-research","langchain","langgraph","llm","multi-agent","nodejs","podcast","python","langmanus","typescript","harness","superagent",{"discoverAt":239,"extractAt":240,"githubAt":240,"updatedAt":240},1777995558409,1778053102364,{"anyEnrichmentAt":242,"extractAt":243,"githubAt":242,"llmAt":188,"updatedAt":188},1778053101076,1778053100136,[],[246,266,287,315,335,357],{"_creationTime":247,"_id":248,"community":249,"display":250,"identity":258,"providers":260,"relations":264,"workflow":265},1778053100136.2388,"k17ba7hx1c2htdr84qc7vc86cd867abn",{"reviewCount":8},{"description":251,"installMethods":252,"name":253,"sourceUrl":254,"tags":255},"Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like \"review this paper\", \"analyze this research\", \"summarize this study\", or \"write a peer review\".",{},"Academic Paper Review Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/academic-paper-review",[15,256,257,17,229],"academic","paper-review",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":259,"type":193},"academic-paper-review",{"extract":261,"llm":262},{"commitSha":198,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":263,"targetMarket":176,"tier":177},98,{"repoId":202},{"anyEnrichmentAt":242,"extractAt":243,"githubAt":242,"llmAt":188,"updatedAt":188},{"_creationTime":267,"_id":268,"community":269,"display":270,"identity":279,"providers":281,"relations":285,"workflow":286},1778053100136.2437,"k177cymqjd5pwcqq4tk0kek34d867am8",{"reviewCount":8},{"description":271,"installMethods":272,"name":273,"sourceUrl":274,"tags":275},"Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.",{},"GitHub Deep Research Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/github-deep-research",[276,15,17,277,278,233],"github","api","report-generation",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":280,"type":193},"github-deep-research",{"extract":282,"llm":283},{"commitSha":198,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":284,"targetMarket":176,"tier":177},97,{"repoId":202},{"anyEnrichmentAt":242,"extractAt":243,"githubAt":242,"llmAt":188,"updatedAt":188},{"_creationTime":288,"_id":289,"community":290,"display":291,"identity":300,"providers":304,"relations":309,"workflow":311},1778053622473.6565,"k175dk23bnmc82m0wgkc81c51s866xz1",{"reviewCount":8},{"description":292,"installMethods":293,"name":294,"sourceUrl":295,"tags":296},"Synthesize multiple media analyses into cross-source patterns and insights. Use when you need to cross-reference analyses, find patterns across sources, or perform meta-analysis of media content.",{},"Media Meta-Analysis","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/tools/media-meta-analysis",[15,17,297,298,299],"media","synthesis","llm-guidance",{"githubOwner":301,"githubRepo":302,"locale":23,"slug":303,"type":193},"jwynia","agent-skills","media-meta-analysis",{"extract":305,"llm":307},{"commitSha":306,"license":199},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":170,"promptVersionScoring":171,"score":308,"targetMarket":176,"tier":177},95,{"repoId":310},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":312,"extractAt":313,"githubAt":312,"llmAt":314,"updatedAt":314},1778053625386,1778053622473,1778054012696,{"_creationTime":316,"_id":317,"community":318,"display":319,"identity":328,"providers":330,"relations":333,"workflow":334},1778053622473.6584,"k1713jxcqmcxt0qc8j638d84298664ax",{"reviewCount":8},{"description":320,"installMethods":321,"name":322,"sourceUrl":323,"tags":324},"Systematically investigate social media claims and viral content. Use when fact-checking complex claims, when decomposing multi-part assertions, or when investigating narratives that mix facts with interpretation.",{},"Claim Investigation","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/verification/claim-investigation",[15,325,326,17,327],"verification","fact-checking","documentation",{"githubOwner":301,"githubRepo":302,"locale":23,"slug":329,"type":193},"claim-investigation",{"extract":331,"llm":332},{"commitSha":306,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":308,"targetMarket":176,"tier":177},{"repoId":310},{"anyEnrichmentAt":312,"extractAt":313,"githubAt":312,"llmAt":314,"updatedAt":314},{"_creationTime":336,"_id":337,"community":338,"display":339,"identity":350,"providers":352,"relations":355,"workflow":356},1778053622473.6472,"k1718d95vd04ttrqx2vv3mwzgd866dhr",{"reviewCount":8},{"description":340,"installMethods":341,"name":342,"sourceUrl":343,"tags":344},"Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.",{},"Ebook Analysis","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/document-processing/analysis/ebook-analysis",[345,346,17,347,15,348,349],"ebook","parsing","knowledge-base","nlp","deno",{"githubOwner":301,"githubRepo":302,"locale":23,"slug":351,"type":193},"ebook-analysis",{"extract":353,"llm":354},{"commitSha":306,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":308,"targetMarket":176,"tier":177},{"repoId":310},{"anyEnrichmentAt":312,"extractAt":313,"githubAt":312,"llmAt":314,"updatedAt":314},{"_creationTime":358,"_id":359,"community":360,"display":361,"identity":369,"providers":372,"relations":376,"workflow":378},1778053148350.4348,"k173w12kz9jfzqwqp9ewbv9mf9866w3v",{"reviewCount":8},{"description":362,"installMethods":363,"name":364,"sourceUrl":365,"tags":366},"Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.",{},"Deep Research","https://github.com/claude-office-skills/skills/tree/HEAD/deep-research",[15,17,298,367,368,327],"report","investigation",{"githubOwner":370,"githubRepo":371,"locale":23,"slug":226,"type":193},"claude-office-skills","skills",{"extract":373,"llm":375},{"commitSha":374,"license":199},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":308,"targetMarket":176,"tier":177},{"repoId":377},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":379,"extractAt":380,"githubAt":379,"llmAt":381,"updatedAt":381},1778053151766,1778053148350,1778053561145]