Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Academic paper writing assistant for top-tier conferences and journals with AIGC-aware natural voice and figure quality enforcement. Triggers when: Writing academic papers or articles, needing literature search and citation formatting, preparing manuscripts for conference submission, creating paper structure, generating SVG/PDF figures, drafting reviewer response letters, or reviewing/polishing to reduce AIGC detection rates. Commands: - /paper new <topic> - Start new paper with topic analysis - /paper search <keywords> - Search and collect literature - /paper cite - Format citations properly - /paper structure - Generate paper outline - /paper review - Review, polish, and reduce AIGC markers - /paper detect <text> - Analyze AIGC features in text - /paper zh <topic> - Write Chinese journal article (CCF/知网 format) - /paper figures - Generate publication-quality SVG/PDF figures - /paper rebuttal - Draft reviewer response letter Capabilities: AIGC-aware academic writing, natural academic voice, literature search from Google Scholar/arXiv/DBLP/Semantic Scholar, citation formatting (IEEE/ACM/APA/GB-T7714), paper structure generation, mathematical notation, Chinese academic publishing, SVG/PDF figure generation, reviewer response drafting, iterative review with AIGC rate reduction, opencode-specific collaborative writing patterns
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs). Use when listing books, searching/filtering library records, reading/updating metadata, adding/removing formats, exporting books, maintaining custom columns, running library checks, managing FTS indexing/search, or creating catalogs/backups from a Calibre library.
Use this skill when an outline exists and you need to fill in the actual teaching content — lecture notes, sample materials (CSV / YAML / MD samples), quiz items, and any course-specific artifacts like prompt templates or worksheets. Triggers on phrases like "寫講義", "補素材", "出測驗題", "提示詞範本", "撰寫課程內容", "lecture notes", "course material", "quiz questions", "quiz authoring", "prompt templates". Always invoke AFTER `course-outline-design` is stable, BEFORE `static-spa-conversion`. This skill produces only the raw `.md`/`.csv`/`.yaml` artifacts — turning them into a website is the next stage's job.
Read, study, and answer questions about long books and papers without loading the whole text into one context window, keeping page-anchored notes as a reusable workspace. Use whenever the user asks to read, study, summarize, analyze, review, or answer questions about a long book, textbook, PDF, EPUB, thesis, dissertation, survey paper, or any document of roughly 50+ pages, in any language (Vietnamese "đọc sách", "tóm tắt sách", "phân tích luận án"). Also use when a `{slug}-notes/` workspace from a previous session sits next to a source file and the user asks a follow-up question about that book. Not for short documents (under ~30 pages) that fit in context; read those directly.
Create, repair, and calibrate ToDiagram custom-format diagrams (.todiagram) for end users, including system architecture maps, process/flow diagrams, schema normalization, and readability-driven grouping/splitting. Use when users ask for ToDiagram JSON generation, invalid payload fixes, architecture/flow modeling, simplification/detail tuning of existing diagrams, or stable file-based diagram output.
Write comprehensive, user-focused documentation following the Diataxis framework. Use this skill when creating or improving tutorials, how-to guides, reference documentation, or explanatory content. Helps identify the right documentation type and apply best practices for each.
Check whether newly written or updated documentation contradicts existing content elsewhere in the docs — procedures, concepts, prerequisites, values, names, recommendations, or cross-references — both in the local repo and across all published Elastic docs. Use when the user asks for a contradiction or consistency check on a docs change, or when a docs review runs. Do not trigger on ordinary drafting or editing.
Scaffolds, validates, and maintains PartMe/Octo-style product documentation trees — 10 root-level docs, 7 per-version docs, and optional per-module triplets (PRD / Stitch / UI) plus 5 delivery-phase docs. Provides ready-to-copy Markdown templates with {Name}/{V} placeholders and inline authoring guidance. Use when creating new product doc repositories, organizing partme-docs or Octo* projects, auditing repo doc structures, or generating documentation scaffolding — even if the user just says "set up docs", "create doc structure", "初始化文档", "产品文档", or "写规划文档".
Generate complete business proposals for client projects. Takes client requirement documents (docx/pdf/md) or verbal descriptions as input, outputs a professionally formatted proposal with technical architecture, budget, timeline, risk analysis, and team introduction. Automatically calls illustrate for images and any2pdf for final PDF delivery. Trigger when user mentions "商务方案", "合作评估", "项目评估", "报价方案", "proposal", "需求评估", "给客户出方案", or wants to generate a client-facing project proposal from requirements.
Convert documents between formats using Pandoc. Use when the user asks to convert files between formats like markdown, docx, html, pdf, latex, epub, rtf, csv, xlsx, or pptx. Triggers on requests like "convert this to Word", "export as PDF", "turn this markdown into HTML", or "convert the CSV to a table".
太奶讀論文 — a centenarian grandmother uses Traditional Chinese, everyday metaphors, and anime references to help you understand academic papers. Always use this skill when the user provides a paper PDF, an arXiv link, or pasted paper text and wants to understand its content. Trigger words include: 讀論文、解釋論文、看不懂、幫我理解這篇、這篇在說什麼、paper reading、explain this paper. Suitable for an intuitive guided reading of any academic paper.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Scan an experiment repo and generate a complete paper outline (H1/H2/H3) with user approval checkpoints at each level, then generate body text with evidence annotations, citations, and bilingual output. Python ML repos. Scan an experiment repo and generate a paper outline level by level (H1/H2/H3), advancing after user approval at each level, then generate body text with evidence annotations, citations, and bilingual output.
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
Translate structured documents (DOCX) to RTL languages (Arabic, Hebrew, Urdu) while preserving exact formatting, table structures, colors, and layouts. Handles quote normalization, multi-pass translation matching, and RTL-specific formatting patterns.
Designs reusable Qwilr proposal templates for your whole sales team. Use when every rep's proposals look different, reps waste hours building proposals from scratch, your templates are outdated and no one uses them, proposals lack consistent branding, or you need vertical-specific templates your whole team can reuse. Do NOT use for a one-off proposal (use /sales-proposal-page), a complex multi-party deal room (use /sales-deal-room), or CRM/automation wiring (use /sales-qwilr-automation).
Use when researchers need to plan, draft, revise, or audit an empirical research paper from their own materials, including Introduction, Methods, Results, Discussion, Conclusion, Abstract, and Title, with evidence-preserving and target-journal-aware guidance.
An intelligent tool for generating software copyright application materials. Automatically analyzes project source code and produces software manuals and source code documents that meet software copyright application requirements. Supports keyword search, intelligent source code analysis, formatted output, and PDF export.
Use when TYPO3 extension documentation has to render on docs.typo3.org, which builds a manual from Documentation/guides.xml and reads no Settings.cfg (a single README.rst serves an extension too small for one): when an extension has no documentation yet, or when creating, editing or reviewing Documentation/*.rst, guides.xml, README.md or XLF translations, rendering docs with Docker, TYPO3 RST directives, screenshots, or XLIFF 2-space indentation (TYPO3 v14+).
Writes structured, checklist-based single-reviewer reports for manuscripts and grant proposals — assesses methodology, statistical validity, reporting-standards compliance (CONSORT 2025, SPIRIT 2025, STROBE, PRISMA 2020, ARRIVE 2.0), reproducibility, and ethics, and gives constructive, prioritized feedback while respecting reviewer confidentiality and AI-use rules. Use when writing a formal referee report, responding to a journal or grant review invitation, or self-auditing a manuscript against reviewer criteria before submission. For evaluating claims/evidence quality prefer alterlab-scientific-thinking; for a multi-reviewer mock-panel verdict use alterlab-paper-reviewer; for quantitative rubric scoring use alterlab-scholar-eval; to revise a paper in response to reviews use alterlab-paper-writer. Part of the AlterLab Academic Skills suite.
Comprehensive audit of a paper's citations. Verifies every reference exists, checks claim-source alignment, identifies missing seminal works, and analyzes citation patterns for bias. Use when asked to check references, verify citations, or audit a bibliography.
CNKI advanced search automation tool for papers. When the user provides research keywords or a research topic, it automatically runs a three-stage search: ① combined subject search (reverse onion-peeling method, combining multiple groups of core concepts with AND to get directly relevant literature); ② independent supplementary search (searching each core concept group separately to get indirectly relevant background and theoretical literature); ③ aggregation and merging (after deduplication, displaying by category in color and outputting a single Excel file). Triggers: the user mentions needing to search papers on CNKI, advanced search, searching CSSCI/C-journal papers by keyword, downloading bibliographic records, getting paper abstracts, or sorting results by citation count; or says "help me search CNKI for papers related to XX", "use CNKI advanced search to find C-journal papers on XX topic", "help me search CSSCI papers for the keyword XX".
Fixes broken decks/PDFs exported from Claude's "Design" feature (or similar AI deck generators) — cut-off or clipped text, wrong/substituted fonts, and corrupted .pptx package structure that shows up only once you export to PDF, not while looking at it in the app. Use this skill whenever the user uploads a zip, .pptx, or .pdf exported from Claude Design (or mentions "Design" export, an AI-generated deck, or a generated slide deck/PDF) AND reports it looking broken, wrong, cut off, garbled, or different from the original when opened, printed, or converted to PDF — even if they don't use the word "repair" or name the specific defect. Also trigger for general "my exported PDF/deck is broken, help fix it" requests when the file was clearly produced by an AI design/deck tool rather than hand-authored. Produces both a repaired, still-editable .pptx and a clean PDF, plus a report of exactly what was wrong and what changed.
Workspaces for agentic teams. Complete agent guide with all 19 consolidated tools using action-based routing — parameters, workflows, ID formats, and constraints. Use this skill when agents need shared workspaces to collaborate with other agents and humans, create branded shares (Send/Receive/Exchange), or query documents using built-in AI. Supports ownership transfer to humans, workspace management, workflow primitives (tasks, worklogs, approvals, todos), and real-time collaboration. Free agent plan with 50 GB storage and 5,000 monthly credits.
Academic paper review skill — perform an in-depth paper review through a structured four-step process, covering critical review, score prediction, key point refinement, and formal review output. Use this skill whenever the user needs to review a paper, simulate a reviewer's reaction, assess whether a paper can be accepted, or help judge a paper's strengths and weaknesses. Trigger words include: review this, review my paper, what would reviewers say, can this get in, paper review, give a score, find weaknesses. Applies to review simulation and evaluation of any academic paper.
PDF generation and manipulation. Puppeteer/Playwright HTML-to-PDF, PDFKit, jsPDF, React-PDF, iText (Java), ReportLab (Python). Invoices, reports, and document generation. USE WHEN: user mentions "PDF", "generate PDF", "HTML to PDF", "invoice PDF", "PDFKit", "jsPDF", "Puppeteer PDF", "React-PDF", "iText", "ReportLab" DO NOT USE FOR: PDF parsing/reading - different concern; image generation - different format
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Use for authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.
Two writing rule sets for readers who may not read English fluently: COMMS for live agent-to-user text (interview questions, confirmations, blockers), ARTIFACT for persistent artifact prose (proposal.md, specs, design.md). A caller states which set applies. Evidence backing is in docs/research/2026-08-07-plain-language-non-native-readers.md.
Analyze experiment results and generate discussion paragraphs for academic papers. Two-phase workflow: identify measurable findings (Phase 1), confirm with user, then generate grounded discussion paragraphs (Phase 2). Accepts tables, statistics, or result descriptions. 实验分析与讨论段落生成。
This skill MUST be used for product-review salience scoring (0–7), review × attribute Excel matrices, or PCA and K-means analysis of those review scores (逐則評論評分、提及程度、顯著度矩陣、評論×屬性 Excel、評論 PCA、評論分群). It MUST support requests for individual stages and MUST NOT be used for unrelated PCA or clustering tasks.
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.
Generate or redesign academic Beamer slide decks that are clear, visually polished, compile-safe, and optimized for live presentation. Transforms existing slides or raw materials into a structured, well-paced, and professional presentation with robust layout and consistent visual design. Use this skill whenever the user mentions creating slides, beamer presentations, redesigning slides, improving slides, academic talk slides, conference presentations, seminar slides, making slides from tex, or fixing beamer slides -- even if they don't explicitly say "Beamer." Accepts .tex files, figures, and talk context (audience, length, venue, purpose) as inputs. Produces a compile-ready .tex file, organized figures folder, and presentation-ready deck as output.
Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Use when the user wants the full research workflow or is unsure which specialized skill to pick. Trigger keywords: academic research suite, research pipeline, read paper, brainstorm, experiment design, prove, write paper, review, professor fit, advisor, cold email, LaTeX, research, NeurIPS, ICLR, ACL, arXiv, 讀論文, 寫論文, 審稿, 實驗設計, 數學證明, 研究方向, 教授分析, 選指導教授.
Writes competitive research grant proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC — applies agency-specific formatting and current review criteria (NIH Simplified Review Framework, NSF Intellectual Merit and Broader Impacts under PAPPG 24-1), prepares budgets and justifications, drafts Specific Aims, broader-impacts, significance, and innovation narratives, and checks compliance, including funder rules on AI-assisted applications. Use when drafting or revising a grant proposal or resubmission, aligning it to an agency's review criteria, or preparing budgets, biosketches, and compliance sections. For Turkey's TÜBİTAK 1001/1002-A national proposals use alterlab-tubitak-proposal; for post-award progress or final reports (RPPR, NSF annual reports) use alterlab-grant-reporting; to critique someone else's proposal use alterlab-peer-review; for a journal manuscript use alterlab-scientific-writing. Part of the AlterLab Academic Skills suite.
Write LaTeX ML/AI review articles for arXiv using the IEEEtran template and verified BibTeX citations. Use when writing, planning, or continuing an arXiv review/survey paper, or when validating and repairing citations in an existing LaTeX project.
Expert knowledge for Azure Content Understanding in Foundry Tools development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations, and coding patterns. Use when designing Content Understanding analyzers, RAG document flows, agentic/RPA workflows, REST/SDK calls, quotas, and other Azure Content Understanding in Foundry Tools development tasks. Not for Azure Speech in Foundry Tools (use azure-speech), Azure AI Search (use azure-cognitive-search), Azure AI Document Intelligence (use azure-document-intelligence), or Azure AI Video Indexer (use azure-video-indexer).
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