Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Render a pre-extracted paper's structured 9-section spec (`paper_spec.md`) into a single-page HTML academic poster, fit the layout to the page via an iterative measured-fill loop, and export it to print-ready PDF + PNG thumbnail. Requires the upstream `paper2assets` skill to have produced an output bundle with `manifest.json` at the root and an `assets/` folder holding the paper metadata and media. Use when the user wants an HTML poster, PDF/PNG export, or PPTX from extracted paper assets, for example "render the poster", "make the poster from this spec", "export poster to PDF", or "paper2poster". The three skills paper2assets → paper2poster → html2pptx run in sequence, each invokable on its own.
Guide an installing agent through a staged PPT or slide workflow without constraining its implementation choices. Use when the user wants a presentation, deck, storyboard, or slide-ready structure from a topic, article, report, or brief, and success depends on some combination of: clarifying the brief, gathering facts when needed, building an outline, creating page-level planning, generating reviewable intermediate artifacts, and degrading gracefully when the environment lacks research, rendering, or delivery capabilities.
Read a real .pptx using text extraction, OOXML inspection, slide rendering, OCR, visual inventory, and vision-capable screenshot review; then write academic speaker notes grounded in every visible slide element, generate a complete display-version document, and inject clean notes into the PowerPoint notes pane. Use when the user wants speaker notes, presenter notes, a speech script, narration, or annotated notes for an existing PowerPoint deck, especially when slides contain images, charts, tables, SmartArt, axes, legends, or screenshot text.
Complete report writing capability combining reading, note-taking, validation, and formatting. LOAD THIS SKILL WHEN: User needs "寫報告", "write report", "整理成報告", "產出文件" | has source materials to summarize | creating academic document. CAPABILITIES: PDF reading, structured notes, content validation, format checking. COMPOSITE SKILL: Combines pdf-reader + note-writer + content-validator + report-formatter.
Compile current scholarly evidence for a scientific manuscript or research brief. Use when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source verification, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.
Run the reviewer's half of the document review loop without the user relaying each round — review the current <DOC>.revN.md into <DOC>.revN.notes.md, commit the closed round, wait for the author's rev(N+1), and repeat until the document is ready for final, a round cap is hit, or only the user can move it forward. Use after rev1 exists, when the user invokes /review-doc-loop <feature> [max-rounds] in a fresh session that did not write the document. Its counterpart is answer-notes-loop in the author's session
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
Create personalized, source-grounded travel dossiers from a destination, dates, duration, travelers, and constraints. Ask only the questions that change the plan, use explicitly permitted personal context without exposing it, research current logistics, and produce a cited, visually coherent PDF or responsive companion web page. Use when someone wants an individualized itinerary, trip brief, travel field guide, or shareable travel website. Do not use for real-time booking, ticket purchasing, visa or legal advice, or generic destination summaries without a specific traveler and trip.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Author, revise, reorganize, or review step-by-step tutorials for beginner-to-intermediate learners. Use when writing or auditing tutorials, hands-on guides, walkthroughs, procedural lessons, course content, or multimedia learning materials. Choose representations by task, reduce avoidable cognitive overhead, align practice and feedback to goals, adapt assistance to prior knowledge, and preserve accessibility.
Use when you want to generate Architecture Decision Records from this session. Triggers on \"write ADRs\", \"document our decisions\", \"create decision records\", \"record the choices we made\". Also useful after design discussions where decisions were reached but not documented. Does NOT extract decisions alone (use adr-decision-extraction) or provide MADR template (use adr-writing). Orchestrates the full workflow: subagent extraction, user confirmation, parallel generation, and verification.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.
Scaffolds TÜBİTAK ARDEB proposals in the directorate's own section order: 1001 against the official .doc form (TR/EN özet ≤600 words each, ÖZGÜN DEĞER, YÖNTEM, PROJE YÖNETİMİ with iş paketleri and B Planı, YAYGIN ETKİ, EK-1/EK-2; ≤25 pages), and the PBS-typed 1002-A Hızlı Destek and 3501 Kariyer Geliştirme forms with per-section word ranges. Checks program caps (1001 ≤36 months, 3,000,000 TRY; 1002-A ≤12 months, 150,000 TRY/year; 3501 ≤36 months, 1,500,000 TRY, PI ≤7 years post-PhD, doçent or below), drafts to each program's criteria (1001 panel 35/25/20/20; 3501 adds kariyer geliştirme potansiyeli) and applies TÜBİTAK's generative-AI (ÜYZ) disclosure rules; submission via PBS after ARBİS. Delegates generic grant craft to alterlab-research-grants and BİDEB fellowships to alterlab-tubitak-bideb. Use when the user wants to write a TÜBİTAK 1001, 1002-A or 3501 proposal, draft özgün değer or yaygın etki sections, or map broader-impacts framing to TÜBİTAK terms. Part of the AlterLab Academic Skills suite.
Audit a paper's bibliography and inline citations for correctness — verifying papers exist, claims match what the cited paper actually says, attribution is accurate, and no citations are hallucinated or misattributed. Use whenever the user wants to check their references before submission, suspects a citation is wrong, wants to verify a specific claim is supported by the cited source, or has received a reviewer comment about incorrect citations. Also use when writing literature-heavy sections and needing to verify that a cited paper actually says what you think it says. This skill catches hallucinated titles/authors, citation telephone (claims distorted through secondary sources), missing citations on factual claims, and wrong-paper citations (citing a follow-up when the original should be cited).
Interact with Atlassian Confluence from the terminal: list spaces, browse pages, view page content, search with CQL, and create pages. Use when the user mentions Confluence, a space key (e.g. DEV), or asks about documentation, wiki pages, space content, or knowledge base articles. Do not use this skill for unrelated requests; route to the nearest named specialist.
Use this skill for intelligent document processing and content extraction using LandingAI's Agentic Document Extraction (ADE). Trigger when users need to (1) Parse documents (PDFs, images, spreadsheets, presentations) into structured Markdown with layout understanding, (2) Extract specific structured data from documents using schemas (invoice fields, form data, table data, etc.), (3) Classify and separate multi-document batches by type (invoices vs receipts, statements vs forms, etc.), (4) Process large documents asynchronously (up to 1GB/1000 pages), (5) Get visual grounding (bounding boxes, page numbers) for extracted content — use when users mention bounding boxes, word locations, grounding, highlighting extracted content, or showing where data appears in a document. Use this skill when the task involves understanding document content for a set of documents. In particular this skill can help you write code that run on sets of documents. This will increase speed, and reduce the cost of loading the documents on the Agent context window because you can use a single script to extract the information needed.
Extract images from Word (.docx) and PDF (.pdf) documents and save them to a specified folder. Use cases include: (1) extracting images from Word documents, (2) extracting images from PDF documents, (3) batch-extracting images from multiple documents, (4) extracting all image assets from a document
An intelligent tool that helps you quickly read documents, materials, images, and books and break them down, extract, and summarize them into mind maps, developed by ProcessOn. It can one-click break down, extract, and summarize natural language, Markdown, long text, PDF/Word documents, web content, image text, study materials, meeting minutes, work reports, and books and literature into clear, well-structured, editable ProcessOn professional mind maps. It is suited to scenarios such as summarizing documents, organizing materials, extracting key points, breaking down long texts, generating mind maps, turning articles into mind maps, organizing PDFs into mind maps, summarizing meeting minutes, extracting work reports, sorting out papers and literature, making reading notes, organizing study materials, generating learning paths, breaking down proposal outlines, and planning project tasks. It mainly addresses the problems of "content too long to finish reading, materials too scattered to organize, key points too unclear to extract, structure too messy to reuse". It supports outputting knowledge-organization graphics such as mind maps, logic diagrams, tree diagrams, fishbone diagrams, timelines, and table diagrams, which can be edited online, collaboratively modified, and efficiently reused in ProcessOn after generation. Note: This skill is not used to generate flowcharts, swimlane diagrams, sequence diagrams, system architecture diagrams, ER diagrams, Mermaid diagrams, or other process or technical charts. To automatically draw flowcharts, business processes, system architectures, or database relationship diagrams, please use ProcessOn's chart generation skills.
Write or update technical documentation grounded in the real codebase. Use when the user asks for README, API docs, architecture guides, user guides, CONTRIBUTING docs, migration notes, or JSDoc/code comments, or wants technical docs rewritten into natural Chinese with correct terminology. Not for general prose, marketing or social copy, or non-technical localization.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
Generate bilingual GitHub release documentation (README.md + README.zh.md) from repo metadata and user input, and guide release prep with git add/commit/push. Use when the user asks to write or polish README files, create bilingual docs, prepare a GitHub release, or mentions release assistant/README generation.
Produce a self-contained HTML artifact instead of a markdown document when the content benefits from spatial layout, color, real diagrams, interactivity, or a round-trip editor. Use when the user asks for a "doc," "writeup," "plan," "spec," "report," "explainer," "comparison," "review," "PR description," "mockup," "diagram," "flowchart," "deck," "slides," "status update," "post-mortem," "dashboard," "chart," "playground," or a one-off "editor" or "tool" for triaging, reordering, or tuning something, even without saying "HTML" or "artifact." Also when asked to "explain," "compare," "explore options for," or "walk through" a non-trivial topic. Always use it when the deliverable is an .html file or a web page, even if the user names the file or asks for HTML directly; the skill is how the page gets checked, not just written. Stay in markdown for short replies, code-only answers, terminal-style instructions, and anything the reader will read once and discard.
Biennale Yellow — Solar yellow on warm parchment with deep indigo serif and atmospheric sun-glow gradients. Anything that should feel like an art-biennale poster or a museum's annual programme: exhibition decks, arts-institution announcements, design conference brochures, curatorial pitches, literary publications, studio retrospectives.
Assembles a complete employment-based Form I-485 adjustment-of-status package in a local case folder — eligibility gating (I-140 basis, Visa Bulletin, 212(e), status posture, derivatives), a continuous status/address/employment/travel history, a personalized document checklist with the birth-certificate and medical-exam ladders, I-485 part-by-part form guidance plus I-765/I-131/Supplement J, package assembly and filing mechanics, and the post-filing timeline. Use when the user mentions I-485, adjustment of status, AOS, green card application after an approved or pending I-140, EAD, advance parole, I-765, I-131, I-693, medical exam, biometrics, Supplement J, visa bulletin, priority date, 绿卡申请, 转绿卡, 调整身份, 体检, 工卡, 回美证. Employment-based only; family-based I-485 is out of scope. Assembly and completeness only — it does not judge eligibility. Document preparation only, not legal advice.
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Build auditable peer-review revision and author-response packages for Light stage 13. Use after receiving reviewer comments, a decision or meta-review; when drafting a rebuttal or response letter; when triaging major/minor revisions; when simulating a pre-submission review; or when a rejection may require a user-chosen 13→3 novelty, 13→5 experiment, or 13→8 writing back-edge. Consumes the selected venue/context and real PDF facts, preserves reviewer wording, atomizes issues, binds claims/evidence/actions/provenance, separates PLANNED from DONE, checks current venue limits without borrowing another venue's rules, and emits the stage-13 gate without changing venue, manuscript, evidence, citations, figures, PDF, or passport automatically.
Generates Mermaid diagrams from codebases, topics, files, conversations, or specs. Supports flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, C4 architecture, mindmaps, Gantt charts, timelines, user journeys, gitGraphs, pie charts, quadrant charts, requirement diagrams, and beta types (xychart, sankey, block, architecture). Use when asked to create a Mermaid diagram, visualize a process or system, draw a flowchart, sequence diagram, class diagram, state machine, ERD, architecture diagram, mind map, timeline, Gantt chart, user journey, git branching graph, or any "diagram this" request.
A world-class PPT design architect that turns source material (speech scripts/topic keywords/outlines) into directly executable PPT design plans. Use for: (1) generating PPT design prompts from a speech script, (2) expanding topic keywords into a full PPT design plan, (3) choosing the best visual form for a content outline, (4) generating design parameters that match brand visual guidelines, (5) outputting generation instructions usable by tools such as Gamma Pro. Triggered when the user mentions keywords such as "PPT design", "presentation", "slides", "design plan", "NotebookLM", "Gamma", or "Keynote style".
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.