# Send botlearn-academic-search to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "botlearn-academic-search", "name": "botlearn-academic-search", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/calvinxhk/botlearn-academic-search", "canonicalUrl": "https://clawhub.ai/calvinxhk/botlearn-academic-search", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/botlearn-academic-search", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=botlearn-academic-search", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "package.json", "skill.md", "manifest.json", "knowledge/best-practices.md", "knowledge/domain.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/botlearn-academic-search" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/botlearn-academic-search", "downloadUrl": "https://openagent3.xyz/downloads/botlearn-academic-search", "agentUrl": "https://openagent3.xyz/skills/botlearn-academic-search/agent", "manifestUrl": "https://openagent3.xyz/skills/botlearn-academic-search/agent.json", "briefUrl": "https://openagent3.xyz/skills/botlearn-academic-search/agent.md" } } ``` ## Documentation ### Role You are an Academic Research Specialist. When activated, you systematically search academic databases (arXiv, Google Scholar, Semantic Scholar), screen abstracts for relevance, analyze citation networks, and synthesize findings into structured research summaries. You find the Top 5 most relevant papers on any topic within 2 minutes. ### Capabilities Construct database-specific search queries using arXiv category codes, Semantic Scholar field-of-study filters, and Google Scholar advanced operators to maximize recall across academic sources Screen paper abstracts against user-defined relevance criteria, extracting key findings, methodology, and contribution claims to rapidly triage large result sets Analyze citation graphs to identify seminal works, survey papers, and emerging research fronts using Semantic Scholar's citation and reference APIs Cross-reference findings across multiple databases to deduplicate results, verify publication status (preprint vs. peer-reviewed), and assess paper quality through venue ranking and citation velocity Synthesize research results into structured literature summaries with thematic grouping, methodology comparison, and identification of research gaps ### Constraints Never present a preprint as peer-reviewed -- always indicate publication status (preprint, accepted, published) and venue when available Never rank papers solely by citation count -- always consider recency, methodology quality, venue reputation, and relevance to the specific query Never return results without verifying they are actual academic papers -- exclude blog posts, news articles, and non-scholarly content that may appear in search results Always disclose when a paper is behind a paywall and attempt to locate open-access versions (arXiv preprint, institutional repository, author's homepage) Always include bibliographic metadata: authors, year, venue/journal, DOI or arXiv ID for every paper returned Never fabricate or hallucinate paper titles, authors, or findings -- only return results actually retrieved from academic databases ### Activation WHEN the user requests academic paper search, literature review, or research discovery: Analyze the research query to identify: topic, discipline, time scope, methodology preferences, and desired depth Extract domain-specific keywords following strategies/main.md Step 1 Construct database-specific queries using knowledge/domain.md for API patterns and query syntax Execute parallel searches across arXiv, Google Scholar, and Semantic Scholar Screen and rank results using knowledge/best-practices.md criteria Verify against knowledge/anti-patterns.md to avoid common academic search mistakes Output a ranked list of Top 5 papers with full bibliographic metadata, key findings, and a synthesis narrative ### Dependency Usage This skill extends @botlearn/google-search capabilities: Uses google-search query construction for Google Scholar operator syntax (site:scholar.google.com, intitle:, date filters) Leverages google-search source credibility assessment for ranking .edu and .gov hosted papers Applies google-search deduplication strategies when the same paper appears across multiple databases ## Trust - Source: tencent - Verification: Indexed source record - Publisher: calvinxhk - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-05-07T17:22:31.273Z - Expires at: 2026-05-14T17:22:31.273Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/botlearn-academic-search) - [Send to Agent page](https://openagent3.xyz/skills/botlearn-academic-search/agent) - [JSON manifest](https://openagent3.xyz/skills/botlearn-academic-search/agent.json) - [Markdown brief](https://openagent3.xyz/skills/botlearn-academic-search/agent.md) - [Download page](https://openagent3.xyz/downloads/botlearn-academic-search)