Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Create, edit, comment on, share, and run human-in-the-loop iteration loops over markdown documents via Proof's web API. Use when asked to "proof", "share a doc", "create a proof doc", "comment on a document", "suggest edits", "review in proof", "iterate on this doc in proof", "HITL this doc", "sync a Proof doc to local", when a caller needs an HITL review loop over a local markdown file (e.g., ce-brainstorm, ce-ideate, or ce-plan handoff), or when given a proofeditor.ai URL. Prefer this skill for any workflow whose output is a Proof URL or that uses a Proof doc as the review surface, even when not named explicitly.
Turns a plain-English description of a recurring report into a real, repeatable report — defines the metrics, pulls them from connected data sources, delivers a chat summary plus an XLSX workbook, and saves the definition so it can rerun on demand or on a schedule. Handles everything from “sales by location versus last year” to AR aging and labor as a percentage of revenue. Works fully from an uploaded CSV or XLSX when no connector is available. Use whenever the owner asks for a report, dashboard, KPI pack, metrics summary, or recurring numbers — including “can you track this every week,” “I need to see these numbers monthly,” “build me a report on,” “same report as last time,” or “put together a KPI dashboard.” Use it even when the owner names the metrics without saying “report.”
Create well-structured RFCs and technical proposals for software projects. Use this skill whenever the user wants to write an RFC, technical proposal, design doc, architecture doc, or system design overview. Also trigger when the user says things like "write an RFC", "I need to propose a new system", "create a technical proposal", "document the architecture", "write up the design", "I need a design doc", or "explain the system architecture in a doc". Even if they just say "RFC", "design doc", or "arch doc", use this skill. Covers both RFCs (proposing what to build) and architecture docs (documenting an existing codebase).
Route design-generation work into the right Open Design workflow mode — prototype, deck, document, or media artifact. Use when the user needs local-first UI prototype generation, presentation deck creation, or design-system-aware HTML/PDF/PPTX artifacts via locally-installed coding agents. Supports 72 built-in design systems, 5 visual directions, 93 media prompt templates, and multi-format export. Triggers on: open-design, local design tool, prototype generation, design deck, design artifact, design agent workflow, open design prototype, design system artifact, UI prototype generation.
Client-facing red-team deliverable format — codifies the Subject / Observations / Description / Impact / Recommendation / PoC structure used for external red-team engagements (not bug-bounty platform reports). Different audience, different tone, different cadence. Built from an authorized engagement deliverable where 14 findings were packaged into a 52KB MD + 2.2MB DOCX with 16 embedded screenshots. Use when the engagement is "external red team for an enterprise client" (not H1/Bugcrowd/Intigriti), when generating the final report, when the client has specified a custom report format, or when packaging findings into DOCX/PDF.
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions “load the whole PDF”, “bring the PDF into context”, “read the entire PDF”, or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.
Comprehensive toolkit for writing high-quality computer science research papers (conference, journal, thesis). Provides narrative construction guidance, sentence-level clarity principles (Gopen & Swan), academic phrasebank, CS-specific conventions, and section-by-section quality checklists. Use when assisting with academic paper writing, revision, or structure planning across all stages from drafting to submission.
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer
Rebuild and validate AutoCAD drawings from a source DWG, a PDF-derived intermediate DWG, or a raster reference image paired with authoritative dimensions and drawing requirements. Use when Codex must profile and exactly reproduce a .dwg, convert a PDF into a validated intermediate DWG before exact redraw, or convert an image plus metrics into parameter-driven AutoLISP/AutoCAD geometry and optional 3D solids.
Syntax reference for Backlog notation (Backlog記法), one of the two per-project text formatting rules on Nulab Backlog — the other, and the default for new projects, is Markdown. Use when posting or editing formatted text on Backlog — issue descriptions (課題の説明), comments (コメント), wiki pages, pull requests — via the bee CLI or Backlog API; when converting Markdown to Backlog notation (Markdown から Backlog記法への変換); when asked how to write headings, bold, tables (表), checklists, colored text, links, or code blocks in Backlog記法; or when the project's rule is unknown (this skill shows how to check textFormattingRule first — text posted in the wrong rule renders as literal characters). Do not use for projects confirmed to use Markdown, for Markdown files outside Backlog, or for Backlog operations with no text to format (status changes, assignees, listing data).
Full-featured SEO, GEO, and AEO website audit tool. Analyzes any URL or website for Search Engine Optimization (SEO), Generative Engine Optimization (GEO — for AI-powered search engines like Perplexity, ChatGPT Search, and Gemini), and Answer Engine Optimization (AEO — for featured snippets and voice search). Use this skill whenever a user provides a URL, domain, or website and asks about search performance, SEO issues, rankings, AI search readiness, answer engine visibility, meta tags, schema markup, content quality, or visibility in search. Also trigger when the user asks to "audit my site", "check my SEO", "why isn't my site ranking", "optimize for AI search", or any similar request involving a web property and search performance.
Illustrate an article (Markdown, HTML, etc.) with animated-style icons from itshover.com/icons. Fetches icons as clean inline SVG and places them at section headings, key concepts, lists, and callouts. Triggers on: /article-icons, 配图, 给文章配图标, add icons to article, illustrate with icons.
Creates structured Request for Comments (RFC) documents for proposing and deciding on significant changes. Use when the user says “write an RFC,” “create a proposal,” “I need to propose a change,” “draft an RFC,” “document a decision,” or needs stakeholder alignment before making a major technical or process decision. Do not use for TDDs/implementation docs (use technical-design-doc-creator instead), README files, or general documentation.
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
Verifies identity documents and digital ID wallets through Didit's standalone APIs. Use when an agent needs to verify a passport, ID card, driver's license, or residence permit from an image or PDF; run OCR and MRZ or barcode extraction; detect screen captures, printed copies, portrait manipulation, or covered fields; read document warnings; or start a digital ID wallet sign-in (MitID, BankID Sweden, iDIN, Finnish Trust Network, Smart-ID, Mobile-ID) without a workflow. Covers 14,000+ document types from 220+ countries and territories
Produces Word (.docx) and exports existing Word/WPS manuscripts to PDF, preserving revisions, tables, and images, especially Chinese formal documents via a verified OpenXML generator with mandatory visual verification. Use for 生成 Word 文档 / 写合同 docx / 把 markdown 转成 Word / 中文排版. Not for Markdown → PDF (use daymade-docs:pdf-creator).
Read, summarize, and critically analyze an academic paper from a PDF, official HTML page, URL, or pasted full text. Use for requests such as "read this paper", "快速看懂", "精读论文", "analyze this paper", "paper summary", or strict paper critique. Produces evidence-traceable Markdown or a portable interactive HTML report at one complete, concise close-reading depth, with read-only inspection of authoritative source code when available and no reproduction run.
Tutorial patterns for documentation — learning-oriented guides that teach through guided doing. Use when writing a tutorial, learning guide, getting-started or onboarding guide, beginner/introductory guide, or any learn-by-doing hands-on guide. Builds on the docs-style core writing principles
Implement reviewer feedback on a Canva design. Reads all comment threads, synthesises what reviewers want, makes the clear-cut changes directly, and flags anything that needs a human decision. Use when the user asks to “implement feedback on my deck”, “address comments on a design”, “apply review feedback”, “fix the comments on my presentation”, or “implement the feedback”
Finds grant and solicitation opportunities the organization actually qualifies for, runs a hard go/no-go before anyone starts writing, drafts the application or response from past submissions and real program data, and tracks every deadline and reporting obligation that follows an award. Built for nonprofits, government contractors, and education, and it filters daily feeds like SAM.gov or DIBBS down to the handful worth bidding. Runs on Google Drive or M365 with DocuSign and Calendar deepening it, and works from uploaded past submissions plus web research when nothing is connected. Use this whenever a funding or bidding opportunity is in play — including "find grants we qualify for," "should we bid this," "draft the response to this RFP," "we've got 50 solicitations to filter," "what's due on the federal grant," or "help me write the proposal narrative."
Build, review, grade and defend procurement Terms of Reference (ToRs) for consultancy and service contracts: build a branded docx, grade 1-10 with strong and weak points, respond to a named reviewer''s objections, or finalise revisions with edit-preservation. Use when Ane drafts, hardens, or defends a ToR, or prepares to contract a consultant or service provider. Distinct from /proposal (funding proposals TO donors), implementation-pack (post-award tracking), procurement-offer-review (incoming supplier offers), and accreditation-desk-review (MA compliance). When Ane is the reviewer commenting on someone else''s draft, that is the opposite direction and not this skill.
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
Delivers the owner's custom recurring report pack on a set cadence — runs the saved report definition from report-builder, wraps it in a business-pulse snapshot so the numbers have context, and hands over one chat summary plus the workbook. Defined once, then delivered on schedule without being asked again. Runs on any single connected data source, or entirely from an uploaded CSV or XLSX. Use it when the owner asks for their report pack, their weekly or monthly numbers, "send me the usual report," "run my report pack," "set this up to come every Monday," or "I want these numbers on a schedule."
An expert in writing intelligent tender documents, covering tenders for engineering consulting, architectural design, municipal projects, IT, software development, and goods and services procurement, with particular depth in construction projects. Parses tender documents, extracts scoring criteria and disqualification clauses, develops bidding strategies, writes technical and commercial proposals, and reviews item-by-item responses, compliance, and disqualification risks. Use when users mention bids, bidding, tenders, technical proposals, commercial proposals, scoring criteria extraction, disqualification risks, item-by-item responses, deviation tables, government procurement, tender, or RFP response. Not for general business writing, marketing copy, academic papers, or documents unrelated to bidding.
Precisely read, analyze, and modify Word document (.docx) formatting with python-docx. Use this skill when users need to analyze document formatting, modify formatting in batches, standardize layout conventions, handle mixed Chinese and English fonts, or change cross-reference styles.
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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.