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Found 10,841 Skills
Design and build data presentations — slide decks, board and investor decks, QBRs, analytics readouts, launch and sales decks, conference talks, and interactive web decks — that hold up in a room, in an inbox, and on a phone. Use whenever the user wants slides or a presentation: "make a deck", "turn this into slides", "board deck", "pitch deck", "QBR", "readout", "all-hands", "present these results", "PowerPoint", "pptx", "Google Slides", "keynote", "talk", "webinar", "speaker notes", "slidedoc", "reveal.js", or an interactive/HTML deck — even if they only say "put this in slides" or "we're presenting this Thursday". Covers storyline, slide layout and type specs, staged chart reveals, presenter mechanics, accessibility, and the build path (self-contained HTML, .pptx, Google Slides, or a spec). Composes with dreambase-data-stories, dreambase-visualization-design, dreambase-echarts, and any brand guide, design.md, or .potx the user supplies.
Check a citation against the registry of record instead of recalling it. Use this to verify that a DOI or a reference actually exists, to get the real title, authors, journal, year, licence, funders and citation counts behind a DOI, to find the DOI for a half-remembered paper title, to audit a bibliography or reference list before it ships, to resolve an ORCID iD to a researcher's employments, educations and recent publications, and to tell two same-named authors apart. Reach for it whenever an invented citation is the way the task fails — a fabricated reference reads exactly like a real one, with a plausible journal, plausible authors and a DOI of the right shape, and only the registry separates them. Crossref holds what publishers deposited and ORCID holds what researchers claim; neither is recallable from training data. Browsing, searching and dry runs cost nothing and need no wallet; a real call costs $0.003 to $0.004 in USDC on Base, with no signup, no API key and no gas.
Brand Registry enrollment guide — eligibility, application, benefits, A+ Content access, brand protection tools
Filter an existing audience or lead list against your ICP and split it into ready-to-sequence segments. Use when someone already has a list of people — an audience in their sales tool, a CSV or CRM export, event or webinar attendees, registrants, a Sales Navigator import, a newsletter or community export — and wants to know who is worth contacting. Triggers on: 'filter this audience against my ICP', 'who in this list matches my ICP', 'clean up this lead list', 'score these leads', 'qualify my signups', 'segment this audience', 'is my audience on-ICP', 'filter my webinar attendees', 'split this audience by ICP fit', 'remove the bad leads'. For SDRs, BDRs, RevOps, growth, demand gen and founders doing list qualification, ICP refinement, post-event follow-up or audience cleanup. Checks whether the data can support the ICP before filtering, sorts every lead into ICP match / needs review / no match, strips out your own team and competitors, and never silently drops anyone. Maintained by La Growth Machine.
Example-first AI development guide for Hile @hile/* packages. Use when building or editing Node.js/TypeScript services with @hile/core, @hile/http, @hile/http-next, @hile/rsc, @hile/model, @hile/context, @hile/typeorm, @hile/ioredis, @hile/cache, @hile/message-*, @hile/micro, @hile/reloader, Redis reliability packages, @hile/schedule, or create-hile.
Use interfaces and dependency injection to decouple code; bind implementations in the container
Store and serve files via Storage; set visibility, generate URLs, and handle streaming safely
Always invoke for `.uipx` files. UiPath Solution lifecycle via the `uip solution` CLI: init/restore/pack/publish/deploy/activate/upload, projects add|import|remove, resources refresh|add|remove|edit. Also DIAGNOSE solution-lifecycle failures: pack/publish/deploy/activate errors, stale or missing bindings, unimported/unset/unresolved resources, deploy error codes (e.g. `[1009] Invalid argument 'Value'`), publish name+version/processKey collisions, and `uip solution` 'unknown command' after the new→init rename. Bundles multiple automation projects (RPA/Flow/Case/Agents/API Workflows/AppV2 Coded and Coded Action apps) into one deployable `.uipx`. For PDD→SDD design (sdd.md/pdd.md) & multi-skill task derivation→uipath-planner. For non-solution Orchestrator/IS/resources/auth/traces→uipath-platform. For .xaml/.cs→uipath-rpa. For .flow→uipath-maestro-flow. For .bpmn→uipath-maestro-bpmn. For agent.json and .py agents→uipath-agents. For standalone coded-app deploy (no parent .uipx)→uipath-coded-apps.
Analyze candidate models before adapter implementation. Determine model implementation source (transformers or model-local), structural features, layer-by-layer loading requirements, and MoE fused weight risks. Use this skill when the user wants to: (1) assess model adaptation feasibility before creating msModelSlim adapters, (2) analyze model structure and type classification, (3) evaluate MoE compatibility for quantization. Trigger: user mentions "model analysis", "msModelSlim", "adapter", "transformers", "MoE", "layer-by-layer", "model assessment", "feasibility", "模型分析", "适配可行性", "模型评估", "MoE分析"
Create tiny no-text Milvus-style sticker memes for technical marketing, WeChat-style article moments, community posts, and developer-group reactions. Use when the user wants an original meme/sticker with an abstract Milvus bird/eagle mascot, strong exaggerated emotion, internet-native sticker energy, light-blue accents without making the whole character blue, and deterministic small-size exports such as 512, 240, 120, or 50 px.
Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, migrate App Engine to Elastic Beanstalk, Google Cloud migration, migrate from OpenAI to Bedrock, move off OpenAI, switch from ChatGPT API to AWS, migrate from Gemini to Bedrock, migrate LangChain to Bedrock, migrate LangGraph to AWS, migrate agentic workloads to AWS, move AI workloads to AWS, migrate my AI app to AWS. Runs a 6-phase process: discover GCP resources from Terraform files, app code, or billing exports, clarify migration requirements, design AWS architecture, estimate costs, generate migration artifacts, and collect optional feedback. Clarify must finish before Design, Estimate, or Generate. Includes AI provider migration guidance (for example, OpenAI to Amazon Bedrock) by selecting closest-fit Bedrock model families for required modality, latency/quality targets, context windows, and cost constraints. Model mapping is compatibility-guided, not 1:1 parity; validate prompts, tool-calling behavior, and eval metrics before cutover. Do not use for: Azure or on-premises migrations to AWS, AWS-to-GCP reverse migration, general AWS architecture advice without migration intent, GCP-to-GCP refactoring, or multi-cloud deployments that do not involve migrating off GCP.
Bridges an Overleaf project to the local skills so a paper kept on Overleaf can be checked, polished, and reviewed, then synced back. Use when a researcher says "my paper is on Overleaf", "sync my Overleaf project", "pull my paper from Overleaf", "run preflight on my Overleaf paper", "edit my Overleaf project locally", or "push my changes back to Overleaf". Walks the three real paths — Overleaf Git integration (clone as a local repo), GitHub synchronization, or download-as-ZIP for free accounts — gets the .tex into a local working copy the other skills operate on, and guides syncing changes back. Treats the Overleaf access token as a secret, never auto-pushes without confirmation, and re-verifies the current Overleaf method live since premium availability and steps change. Trigger words - overleaf, my paper is on overleaf, sync overleaf, pull from overleaf, push to overleaf, edit overleaf locally.