glm4v-analyze-image
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ๆบ่ฐฑAI็่ง่ง่ฏญ่จๆจกๅ๏ผ็จไบๅพๅๅๆใๅ ๅฎน่ฏๅซๅ่ง่ง้ฎ็ญ
Oxford Nanopore read end reason QC analysis. Use when analyzing nanopore sequencing quality, checking for adaptive sampling efficiency, investigating read termination patterns, diagnosing sequencing issues, or running QC on POD5/Fast5 data. Integrates with ont-experiments for provenance tracking via Pattern B orchestration. Supports signal_positive, unblock_mux_change, data_service_unblock_mux_change analysis with quality thresholds.
Hash-based data structures and techniques including frequency counting, duplicate detection, and LRU cache implementation.
Initial reconnaissance on binaries including checksec, file analysis, strings, and symbols. First step for any new target.
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants are in cancer genes, or retrieve cancer gene properties from COSMIC database.
Provision brain-computer interface interaction capabilities.
Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data
Heme/Onc consultant: Rapid clinical decision support for hematology and oncology with multi-level analysis. Provides immediate guidance followed by deep adversarial validation, tumor board simulation with multiple specialties, evidence-based research, and risk-benefit analysis. Use for diagnostic dilemmas, treatment planning, complex cases, or when uncertain about clinical decisions in hematology/oncology.
Instrument safety checks, content filters, and guardrails for agent outputs
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
Expert knowledge on how to properly maintain and update the central Amplify Gen 2 handbook
Given a research goal, use existing skills, training reports, and references to propose a small, concrete experiment plan.
Instrument error handling, retries, fallbacks, and failure patterns
Instrument database queries, connection pools, and detect N+1 queries
Track complex, multi-session work with dependency graphs using bd (beads) issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For simple single-session linear tasks, TodoWrite remains appropriate.
Search the JLCPCB electronic components database (~7 million parts) for hardware/electronics projects. Use when the user needs to: (1) Find electronic components (resistors, capacitors, ICs, connectors, etc.), (2) Look up specific part numbers or manufacturers, (3) Find alternatives or equivalents for components, (4) Check component availability and stock at JLCPCB, (5) Get component specifications (package type, description, etc.), or (6) Search for parts for PCB assembly projects.
Manage a personal knowledge capture system. Use when the user wants to capture ideas, track todos, organize projects, review their brain dump, or mentions "brain dump", "capture this", "add to my list", "what's on my plate", "what should I focus on", or "daily review".
Orchestrate the complete LA-Bench experimental procedure generation workflow from JSONL input to validated output. This skill should be used when processing LA-Bench format experimental data to generate and validate detailed experimental procedures. It coordinates parsing, reference fetching, procedure generation, and quality validation with 10-point scoring.
Complete Calibre library management - add/remove books, convert PDF to EPUB, metadata editing, library analysis, cleanup, and e-reader sync (Sony PRS-T1). Use for any ebook or Calibre operation.
Plan LLM fine-tuning and evaluation experiments. Use when the user wants to design a new experiment, plan training runs, or create an experiment_summary.yaml file.
Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist