В каталоге 183 730 навыков в 14 категориях.
Jointly optimize prompts and model weights using dspy.BetterTogether for maximum accuracy. Use when you have already tri...
Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.
Automatically generate and select few-shot demonstrations for a DSPy program from labeled data using dspy.BootstrapFewSh...
Generates training data from a teacher model and fine-tunes student model weights using dspy.BootstrapFinetune. Use when...
Optimize few-shot demos for a DSPy program by searching over multiple candidate demo sets using dspy.BootstrapFewShotWit...
Use when the task benefits from intermediate reasoning before producing an answer — multi-step logic, analysis, math, or...
Deep dive into dspy.ChatAdapter -- the default adapter that formats DSPy signatures into multi-turn chat messages with f...
Use when you need structured source attribution in AI responses — verifiable citations that link claims to specific pass...
Build agents that write and execute Python code using dspy.CodeAct. Use when the task requires computation, data transfo...
Use when you want to optimize instructions by generating many candidates and picking the best — useful when few-shot dem...
This skill should be used when the user asks to "create custom DSPy module", "design a DSPy module", "extend dspy.Module...
Prepare training and dev data for DSPy - loading from CSV/JSON/HuggingFace, creating dspy.Example objects, setting input...
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "us...
Use for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embeddin...
Combines multiple optimized DSPy programs into a single ensemble via majority voting, averaging, or custom reduce functi...
Run dspy.Evaluate to score DSPy programs against labeled examples using custom or built-in metrics. Use when you need to...
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and com...
Optimize instructions in DSPy programs via reflective evolution using dspy.GEPA without adding few-shot examples. Use wh...
Use when you want to extract interpretable decision logic from labeled examples — generating explicit rules that explain...
Select the most relevant few-shot demonstrations for each input at runtime using dspy.KNNFewShot and dspy.KNN — embeddin...
Attach hand-curated labeled examples as few-shot demonstrations using dspy.LabeledFewShot — no bootstrapping, no metric,...
LLM observability for DSPy with Langfuse -- auto-trace every LM call, attach scores and evaluations, run annotation queu...
Use Langtrace for DSPy observability and tracing with langtrace.init() auto-instrumentation. Use when you want to set up...
Use LangWatch for DSPy auto-tracing and real-time optimizer progress. Use when you want to set up LangWatch, langwatch.d...
Use when you need to configure which language model DSPy uses — setting up providers, API keys, model parameters, or ass...
Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatib...
dspy.MIPROv2 jointly optimizes instructions and few-shot demos using Bayesian search - DSPy most powerful prompt optimiz...
Use MLflow for DSPy tracing, experiment tracking, and model registry. Use when you want to set up MLflow, mlflow.dspy.au...
Build multi-step DSPy programs as composable, optimizable modules using dspy.Module and forward(). Use when composing Pr...
Use when you want higher accuracy by generating multiple reasoning chains and selecting the best answer — trading speed...
Use to choose or compare DSPy optimizers including LabeledFewShot, BootstrapFewShot, MIPROv2, SIMBA, GEPA, BootstrapFine...
This skill should be used when the user asks to "refine DSPy outputs", "enforce constraints", "use dspy.Refine", "select...
Use when you have independent LM calls that can run concurrently — batch processing, fan-out patterns, or speeding up pi...
Use Arize Phoenix for DSPy tracing and evaluation. Use when you want to set up Phoenix, arize-phoenix, openinference, DS...
Build fast direct LM calls with dspy.Predict - the atomic DSPy module for simple input-to-output mapping with no reasoni...
DSPy typed wrappers (dspy.Image, dspy.Audio, dspy.Code, dspy.History, dspy.File, dspy.Reasoning, dspy.Tool, dspy.ToolCal...
Use for deploying DSPy with save/load, configure_cache, restrict_pickle, track_usage, async execution, streaming, and pr...
Review a DSPy application for unsafe signature design, optimizer dataset leakage, prompt-program boundary failures, weak...
Use Qdrant as a vector database with DSPy, or connect any vector DB (Pinecone, ChromaDB, Weaviate) with custom retriever...
Use Ragas to evaluate DSPy RAG pipelines with decomposed metrics. Use when you want to evaluate RAG quality, measure fai...
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-cal...
Use for DSPy reasoning modules including RLM, ProgramOfThought, CodeAct, Parallel, sandboxed execution, and long-context...
Iterative self-improvement with dspy.Refine -- wraps any module, scores each attempt with a reward function, generates f...
DSPy retrieval modules (dspy.Retrieve, dspy.ColBERTv2, dspy.Embedder, dspy.retrievers.Embeddings) for searching document...
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM application...
Defines typed input/output contracts for LM calls using dspy.Signature, dspy.InputField, and dspy.OutputField. Use when...
Optimize a DSPy program in small conservative steps using dspy.SIMBA (Stochastic Introspective Mini-Batch Ascent). Use w...
This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents wit...
Use when you need to stream LM output tokens to a frontend in real time — progressive responses, typing indicators, serv...
Use when working with reasoning models (o1, o3, o3-mini, DeepSeek-R1, Claude extended thinking) that reject system promp...
DSPy utility functions for caching control, debugging with inspect_history, saving/loading optimized programs, and runti...
Use VizPy as a drop-in prompt optimizer for DSPy. Use when you want to try VizPy, vizops, ContraPromptOptimizer, PromptG...
Use vLLM for high-throughput production serving of self-hosted models with DSPy via dspy.LM with openai/ prefix and api_...
Use W&B Weave for DSPy experiment tracking and observability. Use when you want to set up Weave, W&B, wandb, Weights & B...
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster perf...
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develo...
Doodlestein Self-Releaser - fallback release infrastructure for when GitHub Actions is throttled. Local builds, cross-pl...
Use when automating data subject requests: access, erasure, portability, and rectification at scale. Covers request inta...
Reads HEC-DSS files (V6 and V7) for boundary condition extraction using RasDss class. Handles JVM configuration, HEC Mon...
Fetch actual data from Danmarks Statistik API and store in DuckDB. Use when user wants to download and store specific DS...
Perform SQL joins and multi-table analysis on DST data in DuckDB. Use when research requires combining multiple tables o...
List all Danmarks Statistik tables currently stored in DuckDB with metadata. Use when user wants to know what data is av...
Execute SQL queries on Danmarks Statistik data stored in DuckDB. Use when user needs specific data analysis, filtering,...
Generate HTML research reports with embedded data, charts, and analysis. Use when creating final research deliverables....
Browse Danmarks Statistik subject hierarchy to explore available data topics and categories. Use when user wants to disc...
Get detailed metadata for a specific Danmarks Statistik table including variables, dimensions, and structure. Use before...
Search and list Danmarks Statistik tables by subject or keyword. Use when user needs to find specific tables or browse t...
Test distributed systems with reproducible deterministic simulation using turmoil
Pure-reference catalog of Daylight Saving Time (DST) transition patterns and their canonical bug classes. Covers the spr...
Create interactive Chart.js visualizations for DST data analysis. Use when generating charts, creating visual reports, b...
dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem...
Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable pr...
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or se...
Strukturiert die Beweissicherung nach einem Datenschutzvorfall so, dass die Beweismittel in einem späteren Bußgeldverfah...
Reicht eine Meldung nach Art. 33 DSGVO bei der Bundesbeauftragte für den Datenschutz und die Informationsfreiheit (BfDI)...
Reicht eine Meldung nach Art. 33 DSGVO bei der Hamburgischer Beauftragter für Datenschutz und Informationsfreiheit (HmbB...
Reicht eine Meldung nach Art. 33 DSGVO bei der Unabhängiges Landeszentrum für Datenschutz Schleswig-Holstein (ULD) ein....
Liefert in 15-30 Minuten eine Schnelltriage zum Risiko eines gemeldeten Datenschutzvorfalls als Entscheidungsgrundlage f...
Erstellt eine minutiös rekonstruierte Zeitleiste vom Eintritt der Verletzung bis zur Meldung und Benachrichtigung. Behan...
End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baselin...
Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries...
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and vi...
Core DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query —...
Dynatrace server-side JS runtime — function contract, runtime limits, Web APIs, Node.js modules, fetch with credential v...
Migrate Dynatrace classic and Gen2 entity-based DQL to Smartscape equivalents. Covers three scenarios. (1) mass data que...
Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation. Use when t...
AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS...
Azure cloud resources including VMs, VMSS, SQL Database, Storage, AKS, App Service, Functions, VNet networking, load bal...
Monitor and investigate EU DORA compliance posture using Dynatrace Compliance Assistant. Covers compliance score, CIF he...
3rd-party test and monitor result ingestion into Dynatrace Grail via the platform events ingest API (platform/ingest/cus...
Dynatrace extension status checks and troubleshooting. Use when checking extension monitoring configuration status, diag...
Real User Monitoring (RUM) on Dynatrace — web and mobile frontends. Core Web Vitals, user sessions, page performance, mo...
GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and mon...
Analyze & debug GenAI/LLM apps: token cost & caching by prompt, model & provider; latency/errors; agent & tool loops/fai...
Host and process metrics including CPU, memory, disk, network, containers, and process-level telemetry. Use when analyzi...
Kubernetes cluster, pod, node, and workload monitoring. Use when analyzing K8s health, resource optimization, pod failur...
Suggest and validate semantic dictionary (SD) mappings for audit log integrations using raw vendor log payloads or live...
Log querying, filtering, pattern analysis, and error rate calculation. Use when searching application or infrastructure...
Analyze SNMP-monitored network devices (switches, routers, firewalls, load balancers) in Dynatrace. Three data layers: S...
Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the `de...