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Found 700 Skills
Plan and control time-step policies for transient simulations — couple CFL and physics-based stability limits with adaptive stepping, ramp initial transients through sharp gradients or phase changes, schedule output intervals and checkpoint cadence, and plan restart strategies for long-running jobs. Use when choosing dt for a new simulation, diagnosing adaptive time-step oscillations, deciding checkpoint frequency to minimize lost work, or setting up output schedules aligned with physical time scales, even if the user only says "my run is too slow" or "how often should I save."
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
Use this when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived, etc.) into an Edge Delivery Services page while preserving the original design and making content authorable in Document Authoring — triggers include "convert this page to EDS", "static-to-EDS overlay", "convert to EDS blocks", "next experimentation", "next run", "start run", or providing a source URL to make editable in DA. Covers two modes — page-level (overlay template with slot markers) and block-level (each section becomes an independent EDS block). For canonical EDS block-rewrite migrations use page-import instead.
Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech. Use this whenever someone raises a Qdrant problem or question — slow or degraded search, high or growing memory / OOM crashes, optimizer stuck or slow, indexing slowness, scaling and sharding decisions (node count, QPS, latency, multitenancy, vertical vs horizontal), poor or irrelevant search results, hybrid search and reranking, embedding-model migration, version upgrades and compatibility, monitoring and observability (Prometheus, Grafana, health checks, /metrics, /telemetry), deployment choices (local, Docker, self-hosted, Qdrant Cloud, embedded), or client-SDK questions (Python, TypeScript, Rust, Go, .NET, Java). Trigger especially when the context is clearly a Qdrant cluster, collection, or vector-search deployment. Always prefer this skill over answering from memory: it pulls current, authoritative guidance and only the relevant context.
An executable Skill for developing, maintaining, distributing, and validating DeepSeek Harness (DSH) plugins. Covers host/client form judgment, bundle/profile contracts, Service and function plugins, tools, HTTP, persistence, slots, Conversation Nodes, client-side building, HMR, GitHub installation, and real combination verification.
Diagnose MSBuild build performance bottlenecks using binary log analysis. Only activate in MSBuild/.NET build context. USE FOR: identifying why builds are slow by analyzing binlog performance summaries, detecting ResolveAssemblyReference (RAR) taking >5s, Roslyn analyzers consuming >30% of Csc time, single targets dominating >50% of build time, node utilization below 80%, excessive Copy tasks, NuGet restore running every build. Covers timeline analysis, Target/Task Performance Summary interpretation, and 7 common bottleneck categories. Use after build-perf-baseline has established measurements. DO NOT USE FOR: establishing initial baselines (use build-perf-baseline first), fixing incremental build issues (use incremental-build), parallelism tuning (use build-parallelism), non-MSBuild build systems. INVOKES: dotnet msbuild binlog replay with performancesummary, grep for analysis.
Create Page Designer pages and components in B2C Commerce. Use when building visual merchandising tools, content slots, or experience API integrations. Covers page types, component types, regions, attribute definitions, component type ID and subfolders, enum and custom/color attribute pitfalls, and troubleshooting when a component does not appear in the editor.
Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.
TranscribeMe platform help — human+AI hybrid transcription service with 99% accuracy guarantee on human-reviewed tiers, HIPAA compliance, and REST API. Use when uploading audio for human-edited transcription, choosing between Machine Express and human-reviewed tiers, integrating TranscribeMe API into a transcript pipeline, comparing TranscribeMe vs Rev vs GoTranscript vs Sonix for accuracy-critical transcription, troubleshooting slow turnaround or inconsistent punctuation, setting up HIPAA-compliant medical or legal transcription, or debugging chunked upload or OAuth token issues. Do NOT use for live meeting recording or real-time transcription (TranscribeMe is upload-only — use /sales-note-taker for live meeting tools).
Audit and rewrite AI-generated or AI-edited prose to match Ane's IPPF/UNFPA publication standard. Use when the user pastes text and asks to "humanize", "de-AI", "fix the voice", "remove AI slop", "sharpen this", "tighten", "edit for tone", or "review this draft". Strips hedging, filler, nominalisations, em-dashes, passive voice, and abstract openings. Preserves MEL/SRHR register. Does not push prose toward casual or blog tone.
This skill should be used when the user asks to "add background processing", "cache this data", "run this async", "handle concurrent requests", "manage state across requests", "process jobs from a queue", "this GenServer is slow", or mentions GenServer, Supervisor, Agent, Task, Registry, DynamicSupervisor, handle_call, handle_cast, supervision trees, fault tolerance, "let it crash", or choosing between Broadway and Oban.
Event-driven investment strategy — identify and analyse corporate events (M&A, spinoffs, buybacks, index rebalancing, lockup expiry) that create pricing dislocations. Framework: event identification → sentiment scoring → historical price reaction → position sizing. Uses Longbridge news / filings / calendar data as signal inputs. Triggers: "事件驱动", "并购套利", "指数调整", "解禁套利", "事件策略", "公司事件策略", "事件投资", "套利机会", "事件驅動", "並購套利", "指數調整", "解禁套利", "事件策略", "公司事件策略", "event-driven", "event strategy", "merger arbitrage", "index rebalancing", "lockup expiry", "event investing", "corporate event trading", "special situation", "spinoff", "buyback catalyst".