Skills
18,283 skills, most installed first.
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repomix-exploreryamadashy1.8KAnalyze or explore a codebase (remote or local repository) by packing it with the Repomix CLI, then reading and searching the generated output. Use when the user wants a high-level understanding of an unfamiliar or large repo, not a targeted edit. Trigger for: - Structure/overview: "analyze this repo", "what's the structure", "explain this codebase", "what's in vercel/next.js" - Pattern discovery across many files: "find all auth code", "where are the API endpoints", "show me all React componentexperience-lds-best-practices-applyforcedotcom1.8KUse when reviewing or implementing Lightning Data Service best practices in an LWC (.js, .html, .js-meta.xml) — UIAPI vs Apex, refreshApex / notifyRecordUpdateAvailable, @salesforce/schema imports, LDS record-form data patterns. TRIGGER on \"apply LDS best practices to this LWC\", \"review this LWC for LDS best-practice issues\", \"review this component for Lightning Data Service issues\", \"UIAPI or Apex for this data?\", \"fix stale data after record save\", \"sync LDS cache\", \"use @salesforlayers-observed-behaviourjamiemill1.8KTechniques for planning user research and synthesising it into grounded, confidence-rated findings about what users actually doad-creative-fatiguembfinotti1.8KDecide whether a running ad creative is genuinely wearing out, or whether a confounder - budget change, learning-phase reset, audience saturation, auction CPM inflation, seasonality, tracking breakage - explains the decline, and return a verdict with confidence plus the highest-return remedy per unit of effort. Use whenever the user mentions creative or ad fatigue, wear-out, climbing frequency, dropping CTR, a rising CPA on an older ad, when to refresh creative, or whether to kill an ad - even iad-spend-allocationmbfinotti1.8KSplit a fixed total paid-media budget across campaigns, platforms, funnel stages, and audiences based on expected marginal return - the monthly or quarterly reallocation decision, for B2B and B2C. Use whenever the user asks how to split an ad budget, which channel or campaign should get more money, how to reallocate spend, how much to put behind prospecting vs retargeting, or mentions a portfolio split, marginal return, or diminishing returns - even if they never say 'allocation'. Do NOT use to paid-media-scalingmbfinotti1.8KDecide when a proven paid campaign has earned a budget increase, how large each step should be, how the ramp sequences over weeks and months, and how to avoid performance collapse on the way up - including readiness gates, vertical vs horizontal scaling, and rollback triggers. Use whenever the user asks whether to scale a campaign, how fast ad spend can rise, mentions a budget ramp, a scaling ceiling, or says performance collapsed after the budget was raised - even if they never say 'scaling'. Cnemo-mbridge-perf-moe-vlm-trainingnvidia1.8KPractical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.quantized-exportwshobson1.8KExport a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.dddcodewithmukesh1.8KDomain-Driven Design tactical patterns for .NET applications. Covers aggregates, aggregate roots, value objects, domain events, domain services, strongly-typed IDs, and repository patterns for aggregate persistence. Load this skill when implementing DDD, working with aggregates, value objects, domain events, bounded contexts, or when the architecture-advisor recommends DDD + Clean Architecture. Pair with the clean-architecture skill.nemo-mbridge-mlm-bridge-trainingnvidia1.8KRun Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.dig-through-data-brokersuseosint1.8KUse people-search aggregators and primary public records to find addresses, phone numbers, relatives, age and background on a person, and to audit and remove your own exposure. Covers Spokeo, BeenVerified, Whitepages, TruePeopleSearch, FastPeopleSearch, That'sThem, Radaris, Intelius and Pipl, plus voter files and county court and property records. Use when running a people search or reverse address lookup, tracing a debtor or missing person, building a subject's address history, or removing youragent-native-designagents365-ai1.8KUse when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI interface.ad-negative-keywordsmbfinotti1.8KBuild and maintain negative keyword lists from search term reports to cut wasted ad spend in paid search - n-gram query mining to surface irrelevant search terms, the right negative match types and exclusion levels (account, shared list, campaign, ad group), and a review cadence that avoids overblocking queries that convert. Use whenever the user mentions a search term or search query report, irrelevant clicks, junk traffic, wasted ad spend, or wants to exclude or block keywords - even if they ncac-roas-benchmarkmbfinotti1.8KCompute a business's CAC and ROAS family metrics from real spend and outcome data, then judge whether the spend is healthy against three references - the business's own break-even, its own trailing history, and provenance-labelled external benchmarks - returning healthy, watch, unhealthy, or insufficient evidence. Use whenever the user asks whether their CAC is too high, whether a ROAS is good, what ROAS to aim for, whether ads are profitable, or mentions MER, blended CAC, payback period, or a snemo-mbridge-multi-node-slurmnvidia1.8KConvert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocation.nemo-mbridge-perf-sequence-packingnvidia1.8KValidate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.12-principles-of-animationraphaelsalaja1.8KAudit animation code against Disney's 12 principles adapted for web. Use when reviewing motion, implementing animations, or checking animation quality. Outputs file:line findings.bash-linuxsickn331.8KBash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.grpo-rlvr-trainingwshobson1.8KTrain reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.ad-spend-guardrailsmbfinotti1.8KSet the organisation's top-level paid-media spend guardrails as written policy - maximum allowable CAC, minimum ROAS/MER floor, kill-switch thresholds, counter-metrics, who owns them and who may override them - each derived from contribution margin, payback, and cash runway rather than inherited from a dashboard. Use whenever the user asks what CAC they can afford, mentions a ROAS floor, spend guardrails, a kill switch, when to stop spending, or who approves a budget increase - even if they neveadvertising-kickoffmbfinotti1.8KBefore starting any paid advertising work, before each recurring advertising review, and whenever routing is unclear, route the task to the right skill of the advertising-skills collection - or say plainly that none fits - and bootstrap or resume the project's shared context artifact. Use at every advertising project start, on later sessions of the same project to re-route without re-interviewing, and whenever the user mentions a new ad campaign or paid media project, asks which advertising skilnemo-mbridge-perf-parallelism-strategiesnvidia1.8KOperational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.ad-budget-pacingmbfinotti1.8KTrack daily and weekly spend against a single campaign or account budget and flag under-pacing or over-pacing before it hurts results, reporting the pacing ratio, projected period spend, and the corrective daily spend behind every alert. Use whenever the user mentions budget pacing, spend tracking, burn rate, spend vs budget, projected month-end spend, underspending or overspending, or asks whether a campaign is on pace - even if they never say 'pacing'. Covers any ad platform, B2B and B2C, calead-creative-test-planmbfinotti1.8KDesign a pre-launch ad creative test plan - falsifiable hypothesis, isolation level, test cells with per-cell budgets, required sample, spend and duration, and kill/scale rules pre-registered before any money moves. Every cell carries an explicit read standard, so an underpowered screen is never dressed up as an A/B test. Use whenever the user wants to test ads, mentions an A/B or split test on creative, asks how much budget or how long a test needs, or mentions sample size, statistical significnemo-mbridge-perf-expert-parallel-overlapnvidia1.8KValidate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as DeepEP and HybridEP.content-repurposer-smsblacktwist1.8KWhen the user wants to turn one piece of content into multiple formats or adapt content across text-first and visual-first platforms (LinkedIn, Twitter/X, Threads, Bluesky, Facebook, Instagram, TikTok, Pinterest, YouTube). Also use when the user mentions 'repurpose,' 'turn this into,' 'adapt this for,' 'cross-post,' 'reformat,' 'blog to social,' 'newsletter to posts,' 'video to posts,' 'YouTube to clips,' 'Reels from a podcast,' or 'get more from this content.' For writing original posts, see poplanning-oracle-to-postgres-migration-integration-testinggithub1.8KCreates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.ad-account-diagnosticmbfinotti1.8KDiagnose the root cause of an underperforming paid ad account - why the ads stopped working, why CPA went up, why ROAS dropped - instead of defaulting to 'increase the budget'. Weighs tracking, account structure, targeting, creative, bidding and budget, offer, and external forces, and returns a prioritised verdict with evidence and confidence. Covers B2B and B2C on search, paid social, video, and native. Use whenever the user mentions an ad account audit, a campaign structure review, wasted ad sadvertising-hiringmbfinotti1.8KBuild the complete hiring packet for a paid-advertising role - the rung decision (media buyer vs performance marketer vs growth marketer; creative strategist is its own role), an outcome scorecard, a 2-3 round interview loop with a judgment-first question bank, a time-boxed in-interview work sample, and a 30-60-90 ramp with staged spend authority. For the marketing leader or founder recruiting. Use for "hire a media buyer", "interview questions for a performance marketer", "paid media work samplnemo-mbridge-perf-moe-optimization-workflownvidia1.8KEvidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.typefullytypefully1.8KCreate, schedule, and manage social media posts via Typefully. ALWAYS use this skill when asked to draft, schedule, post, or check tweets, posts, threads, or social media content for Twitter/X, LinkedIn, Threads, Bluesky, Mastodon, or Substack Notes, or when the user drops a Typefully draft URL such as https://typefully.com/?a=<social_set_id>&d=<draft_id>.fusion-issue-task-planningequinor1.8KPlan and break down user-story issues into ordered, traceable task issue drafts with explicit publish gates.ad-attribution-gapmbfinotti1.8KQuantify and explain the discrepancy between ad platform reporting, an analytics tool, and the source of truth (CRM or order system), classifying every unit of the gap as timing, definitional, or unexplained residual. Use whenever the user says the numbers don't match, that the platform reports more conversions or revenue than the CRM or order system, or mentions cross-platform reconciliation, double-counted conversions, an attribution discrepancy, or asks whether a reporting gap is normal - evead-platform-selectionmbfinotti1.8KDecide which paid channel families fit a business's economics, audience, funnel stage, and budget at campaign setup - paid search, paid social, short-form video, connected TV, native/discovery, retail media, programmatic display, podcast/audio, paid review listings, B2B professional networks - including whether each is affordable against allowable CAC and payback. Use whenever the user asks where to spend a new ad budget, which platform to advertise on, how to build a paid channel mix, whether alookalike-audience-seedsmbfinotti1.8KSelect and size the seed customer list behind a lookalike, similar, or value-based audience - which customers to upload, how many, and whether the matched count (not the row count) clears the platform floor - with RFM and value-based selection, a negative-selection pass, a privacy and consent gate before any customer list upload, and a fallback ladder when the floor cannot be cleared. Use whenever the user mentions a lookalike or similar audience, a seed list, a customer list upload, match rate,nemo-mbridge-perf-cpu-offloadingnvidia1.8KValidate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.tilegym-adding-cutile-kernelnvidia1.8KAdd a new cuTile GPU kernel operator to TileGym. Covers dispatch registration in ops.py, cuTile backend implementation, __init__.py exports, test creation, and benchmark in tests/benchmark. Use when adding, creating, or implementing a new cuTile operator/kernel in TileGym, or when asking how to register a new cuTile op.ad-audience-targetingmbfinotti1.8KTurn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad prospecting, interest and in-market behavioural segments, lookalike/similar, first-party lists, and retargeting pools - each sized against platform audience floors, budgeted to the learning threshold, and kept from overlapping by exclusion rules. Use whenever the user mentions ad targeting, who to target with ads, audience tiers or layers, broad vs. layered targeting, audience overlap between campaignmanaging-uprefoundai1.8KHelp users master the art of proactive communication and alignment with their managers and founders to unlock autonomy, secure resources, and drive business impact.alibabacloud-sls-queryaliyun1.8KAlibaba Cloud SLS (Simple Log Service) log query & analysis skill. Use this skill to help users write, explain, optimize, execute, or troubleshoot SLS index search, SQL analytics, and SPL scan/pipeline statements through the aliyun CLI. Triggers: "SLS 查询", "SLS 分析", "日志查询", "日志分析", "log query", "analyze sls logs", "aliyun log query".advertising-radarmbfinotti1.8KBuild a personalised, time-budgeted watch list of paid-advertising information sources - PPC and paid-social podcasts, newsletters, ad-platform release notes, communities, industry events, and media buyers worth following - with a verification method that keeps it fresh and a disclosure of what each source is selling. Use whenever a media buyer, PPC specialist, or growth marketer asks how to stay current on Google Ads, Meta, LinkedIn, TikTok, or Microsoft Ads changes, which PPC newsletters or panemo-mbridge-perf-moe-long-contextnvidia1.8KLong-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.vss-deploy-dense-captioningnvidia1.8KUse this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.vss-deploy-detection-tracking-2dnvidia1.8KUse this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill.case-studyowl-listener1.8KCraft a portfolio case study with narrative arc, process evidence, and outcomes. Use when telling a project's story to an external audience. For an internal stakeholder deck, use `presentation-deck`._referencesjihe5201.8K共享规范知识库。包含数学建模竞赛的写作规范、题型防错速查、图表规范等参考内容。其他 skills 在执行过程中按需读取，无需单独触发。advertising-careermbfinotti1.8KPlan and advance a paid-advertising career from the candidate side - media buyer, performance marketer, PPC specialist, creative strategist, growth marketer - covering the junior to lead ladder, the five real interview formats (live account audit, mental-maths case, metric diagnosis, take-home, behavioural), an NDA-safe results portfolio, platform certifications, in-house vs agency vs freelance, and promotion and pay conversations. Use whenever the user asks how to get into paid media or PPC, prnemo-mbridge-perf-moe-comm-overlapnvidia1.8KMoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.paid-landing-page-auditmbfinotti1.8KAudit a landing page receiving paid traffic against post-click conversion best practice and return a prioritised fix list - message match to the ad, above-the-fold clarity, form friction, trust, speed, mobile, policy risk - with every finding labelled by evidence class and no statistical claims on thin data. Use whenever the user says their ads get clicks but no conversions, asks why a landing page isn't converting, or mentions post-click experience, message match, conversion friction, form fricvss-deploy-video-embeddingnvidia1.8KUse this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the `/v1` REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Redis/Kafka/OTel integration, common failure modes, and teardown.