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Lab Tools

Laboratory management and utilties.

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lab-tools

950

iso-13485-certification

Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work instructions, (4) preparing Medical Device Files, (5) understanding ISO 13485 requirements, or (6) identifying missing documentation for medical device certification. Also use when users mention medical device regulations, QMS certification, FDA QMSR, EU MDR, or need help with quality system documentation.

wu-yc

research

lab-tools

950

extract-experiment-data-from-video

General-purpose experimental data extractor from lab video streams. Ingests footage from XR headsets or fixed cameras and extracts typed, timestamped measurements — liquid volume levels, color/turbidity shifts, cell and colony counts, pipette readouts, instrument display values, gel band intensities — emitting a time-series JSON or CSV table ready for downstream analysis, charting, or ELN attachment.

wu-yc

research

lab-tools

946

lab-unit-harmonization

Comprehensive clinical laboratory data harmonization for multi-source healthcare analytics. Convert between US conventional and SI units, standardize numeric formats, and clean data quality issues. This skill should be used when you need to harmonize lab values from different sources, convert units for clinical analysis, fix formatting inconsistencies (scientific notation, decimal separators, whitespace), or prepare lab panels for research.

benchflow-ai

research

lab-tools

946

segment-combiner

Combine multiple segment detection results into a unified list. Use when you need to merge segments from different detectors, prepare removal lists for video processing, or consolidate detection outputs.

benchflow-ai

research

lab-tools

946

sampling-and-indexing

Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

benchflow-ai

research

lab-tools

946

glm-calibration

Calibrate GLM parameters for water temperature simulation. Use when you need to adjust model parameters to minimize RMSE between simulated and observed temperatures.

benchflow-ai

research

lab-tools

946

pause-detector

Detect pauses and silence in audio using local dynamic thresholds. Use when you need to find natural pauses in lectures, board-writing silences, or breaks between sections. Uses local context comparison to avoid false positives from volume variation.

benchflow-ai

research

lab-tools

923

agentsociety-analysis

Analyze experiment data and generate analysis reports.

tsinghua-fib-lab

research

lab-tools

915

java-code-reviewer

Review Java OpenInference instrumentation code for correctness and completeness. Use this skill when reviewing a Java instrumentor package — whether it's a new instrumentor, a PR that modifies one, or when the user asks to audit/review/check an existing instrumentor's code quality. Trigger on phrases like "review the instrumentor", "check the Java code", "audit the package", "is this instrumentor correct", or any request to validate an OpenInference Java instrumentation package against project standards.

Arize-ai

research

lab-tools

894

testing-aso-recordings

Use when you need to run ASO controller CRUD tests or sample tests, verify recordings play back correctly, or re-record after changes.

Azure

research

lab-tools

894

diagnosing-vcr-failures

Use when ASO controller CRUD tests or sample tests fail during playback or recording, to diagnose the failure and re-record if needed.

Azure

research

lab-tools

844

babysit-job

Monitor/babysit a job continuously and recover on failure. Use when asked to babysit, monitor, or watch a job, pipeline, workflow, or training run.

marin-community

research

lab-tools

844

archive-experiments

Retire legacy experiment scripts behind an archive tag and leave breadcrumbs on GitHub issues. Use when asked to archive, clean up, or retire old experiments.

marin-community

research

lab-tools

844

organize-experiments

Curate the experiment report index after new experiments are harvested. Use when asked to organize, categorize, or update the experiment reports index.

marin-community

research

lab-tools

841

aris-result-to-claim

Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.

OpenLAIR

research

lab-tools

841

aris-monitor-experiment

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

OpenLAIR

research

lab-tools

841

aris-analyze-results

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

OpenLAIR

research

lab-tools

809

build-and-test

Build DAX Studio and run tests. Use when you need to verify changes compile correctly and all tests pass.

DaxStudio

research

lab-tools

807

axiom-shazamkit

Use when implementing audio recognition, music identification, custom audio matching, second-screen sync, or working with Shazam catalog. Covers SHManagedSession (modern), SHSession (legacy), SHCustomCatalog, SHLibrary, microphone capture, signature generation, Shazam CLI.

CharlesWiltgen

research

lab-tools

807

axiom-shazamkit

Use when implementing audio recognition, music identification, custom audio matching, second-screen sync, or working with Shazam catalog. Covers SHManagedSession (modern), SHSession (legacy), SHCustomCatalog, SHLibrary, microphone capture, signature generation, Shazam CLI.

CharlesWiltgen

research

lab-tools

790

llmobs-testing

This skill should be used when the user asks to "write LLMObs tests", "add tests for LLM Observability", "test an LLMObs plugin", "llmobs test", "llmobs spec", "test llm observability", "assertLlmObsSpanEvent", "useLlmObs", "getEvents", "MOCK_STRING", "MOCK_NOT_NULLISH", "MOCK_NUMBER", "MOCK_OBJECT", "VCR cassette", "record cassette", "replay cassette", "vcr proxy", "llmobs cassette", "test chat completions", "test streaming", "test embeddings", "test agent runs", "test orchestration", "test workflow", "llmobs span event", "LLMObs test strategy", "LlmObsCategory test", "LLM_CLIENT test", "MULTI_PROVIDER test", "ORCHESTRATION test", "INFRASTRUCTURE test", "span kind llm test", "span kind workflow test", "inputMessages", "outputMessages", "token metrics", "llmobs span validation", "cassette not generated", "re-record cassette", "127.0.0.1:9126", or needs to write, modify, or debug tests for any LLMObs plugin in dd-trace-js.

DataDog

research

lab-tools

790

llmobs-integration

This skill should be used when the user asks to "add LLMObs support", "create an LLMObs plugin", "instrument an LLM library", "add LLM Observability", "add llmobs", "add llm observability", "instrument chat completions", "instrument streaming", "instrument embeddings", "instrument agent runs", "instrument orchestration", "instrument LLM", "LLMObsPlugin", "LlmObsPlugin", "getLLMObsSpanRegisterOptions", "setLLMObsTags", "tagLLMIO", "tagEmbeddingIO", "tagRetrievalIO", "tagTextIO", "tagMetrics", "tagMetadata", "tagSpanTags", "tagPrompt", "LlmObsCategory", "LlmObsSpanKind", "span kind llm", "span kind workflow", "span kind agent", "span kind embedding", "span kind tool", "span kind retrieval", "openai llmobs", "anthropic llmobs", "genai llmobs", "google llmobs", "langchain llmobs", "langgraph llmobs", "ai-sdk llmobs", "llm span", "llmobs span event", "model provider", "model name", "CompositePlugin llmobs", "llmobs tracing", "VCR cassettes", or needs to build, modify, or debug an LLMObs plugin for any LLM library

DataDog

research

lab-tools

790

apm-integrations

This skill should be used when the user asks to "add a new integration", "instrument a library", "add instrumentation for", "create instrumentation", "new dd-trace integration", "add tracing for", "TracingPlugin", "DatabasePlugin", "CachePlugin", "ClientPlugin", "ServerPlugin", "CompositePlugin", "ConsumerPlugin", "ProducerPlugin", "addHook", "shimmer.wrap", "orchestrion", "bindStart", "bindFinish", "startSpan", "diagnostic channel", "runStores", "reference plugin", "example plugin", "similar integration", or needs to build, modify, or debug the instrumentation and plugin layers for a third-party library in dd-trace-js.

DataDog

research

lab-tools

759

huggingface-trackio

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

openai

research

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