“downstream”的搜索结果

Compare a file’s current content with its intended replacement before writing. Skip matching files to avoid unnecessary rebuilds and timestamp changes, with guidance on readable diffs, line endings, encoding, and exact content requirements.

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• Replacing configuration files only when content changes
• Avoiding rebuilds caused by unchanged generated files
• Reviewing differences before replacing a whole file

Map wireless networks before a security assessment. Choose compatible adapters, configure packet capture, identify access points and clients, and record channels, encryption, and management frame protection across 2.4, 5, and 6 GHz bands.

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• Building a target inventory before a wireless assessment
• Choosing an adapter for the required frequency bands
• Recording encryption and management frame protection

Research a company, industry, or competitor group through web search and seven analytical lenses. Produce structured, cited findings on business models, products, competition, and strategic signals for product decisions and further analysis.

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• Researching a company before a client engagement
• Comparing several competitors' products and strategic bets
• Gathering source material for SWOT or positioning work

Prepare single-cell or single-nucleus RNA-seq analysis by checking inputs and selecting workflows that turn FASTQ sequencing files into count matrices. Route quality checks, cell annotation, clustering, and UMAP visualization to the embedded downstream skill.

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• Start single-cell RNA-seq analysis from FASTQ files
• Choose a workflow for generating count matrices
• Route existing matrices to quality checks and cell annotation

Validate FASTQ sequencing files, run local quality checks, and interpret reports to decide whether trimming is needed. Optionally remove adapters or low-quality read ends while preserving original reads and their quality reports.

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• Check sequencing quality before downstream analysis
• Summarize quality reports across multiple samples
• Assess whether adapter or quality trimming is needed

Plan or run bulk RNA-seq processing from sequencing reads to count matrices, tables of expression counts across samples. Check sample metadata, reference consistency, read mapping, and quantification quality, and produce summaries for downstream analysis.

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• Generate count matrices from FASTQ files
• Check reference files and sample metadata
• Review mapping and quantification quality

Prioritizes candidate genes from GWAS, studies linking genetic variants to traits. Combines locus predictions, gene expression evidence, and rare variant support into ranked results with source attribution, confidence labels, reproducible files, and optional figures.

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• Find candidate genes for a disease or trait
• Rank genes near specified lead variants
• Compare evidence and tissue support across genes

Assess whether data is trustworthy enough for analysis, dashboards, experiments, or modeling. Check missing values, duplicates, consistency, freshness, and changes over time, then explain the evidence, downstream risks, likely causes, and practical fixes.

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• Check missing values and duplicate records
• Investigate sudden changes in data quality
• Reconcile conflicting sources and metric definitions

Gather business context before analysis by checking connected or provided sources for metric definitions, recent changes, and decision background. Produce a focused context note that preserves source references, conflicting evidence, assumptions, and remaining gaps.

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• Clarifying metric definitions before analysis
• Checking recent changes before investigating performance
• Reconciling conflicting sources before writing a report

Write and troubleshoot native Python in n8n Code nodes. Covers data filtering and transformation, migration from older Python code, valid return formats, and restricted execution environments, including cases where errors pass unprocessed input downstream.

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• Filtering and aggregating data in Python Code nodes
• Migrating legacy Python (Beta) code
• Fixing input-variable and return-format errors

Convert protein sequences into numerical features with Meta AI's ESM-2 for machine learning. Extract features for individual amino acids or whole sequences, score mutations, and predict which positions in a protein may contact each other.

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• Extracting protein features for machine learning
• Scoring the effects of amino acid mutations
• Predicting contacts from protein sequences

Use Evo 2 to score DNA sequences, turn genomic regions into numerical representations for classification, and generate sequences from a supplied prefix. Compare reference and variant sequences or assess coding and regulatory regions across species.

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• Comparing scores before and after a DNA variant
• Preparing numerical features for genomic region classification
• Generating DNA from a supplied prefix

Inspect scientific data files to understand their format, structure, and quality. Covering over 200 formats, this skill produces Markdown reports with statistical summaries, potential issues, and recommendations for preprocessing, visualization, and further analysis.

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• Inspecting an unfamiliar scientific data file
• Checking missing values and duplicates in experimental tables
• Reviewing sequence lengths and quality scores in FASTQ files

Audit causal inference in a sewage and house prices study by comparing manuscript claims with R code. Review design assumptions, statistical uncertainty, and robustness, then produce a prioritized report with concrete fixes.

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• Comparing manuscript methods with R analysis code
• Auditing assumptions behind causal inference
• Checking standard errors and multiple testing

Explore scientific data files to understand their structure, statistical patterns, and quality. References cover over 200 formats, with workflows for producing Markdown reports that summarize findings and recommend preprocessing, visualizations, and further analysis.

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• Checking missing values and outliers in experimental tables
• Examining sequence lengths and quality scores in FASTQ files
• Inspecting microscopy image dimensions and metadata

Guide agents to index files as soon as they are created, making them searchable for subsequent tasks. The skill describes write-triggered indexing and single-file updates instead of waiting for session-end batches or scheduled jobs.

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• Making handoff documents searchable immediately
• Triggering indexing when a file is written
• Reviewing indexing delays in downstream workflows

Guide an agent to ground judgments in evidence, separate facts from inferences and unknowns, verify results, and diagnose failures. It also selects a suitable methodology skill when investigation, prioritization, validation, or another structured approach would help.

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• Setting evidence standards at the start of an agent session
• Choosing a methodology suited to the task
• Requiring verification before reporting completion

Explore scientific data across more than 200 file formats to understand its structure, contents, and quality. Produce Markdown reports with statistical summaries, format-specific findings, and recommendations for preprocessing, visualization, and further analysis.

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• Inspecting unfamiliar scientific data files
• Checking missing values and data quality
• Reviewing sequence or microscopy data before analysis

Create reports, guides, and project documents in Markdown with Mermaid, a text-based diagram format. Use document templates and style guides to explain workflows, relationships, and timelines while keeping text and diagrams editable and suitable for version control.

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• Writing research reports with explanatory diagrams
• Documenting workflows and system relationships
• Preparing project timelines and status reports

Generate videos from DEFT media samples using PAIDF Cosmos Predict. Prepare configuration, run generation in Docker, avoid repeated processing of duplicate media paths, and produce JSONL records linking each original sample ID to successful or missing video outputs.

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• Generating synthetic videos for DEFT media samples
• Avoiding repeated generation for duplicate media paths
• Passing generated video mappings to downstream workflows

Switch the active Jetson target to an existing YAML profile before customization, building, or flashing. Review profile names and configuration summaries, choose a target, and update the pointer used by downstream skills without creating new profiles.

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• Switch the target before building
• Choose an existing profile before flashing
• Select a target when none is active

Start Jetson or IGX board software customization by selecting a setup mode, platform, release, and carrier-board intent in a questionnaire. It passes those choices to the appropriate setup skills and reports workspace readiness and remaining steps.

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• Start setup in a new Jetson workspace
• Continue setup using existing files and archives
• Check prerequisites in a prepared workspace

Investigate missing DOCA telemetry metrics with doca_telemetry_utils. Discover diagnostic counters, translate counter names to Data IDs and back, and check device support before adding counters to an exporter configuration.

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• Investigating metrics missing from a collector
• Checking which counters a BlueField device supports
• Translating logged Data IDs into counter names

Produce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for "/wiki-context-pack", "use my vault as context", "context slice for X", "pack the wiki for my agent", or "bounded context for Y".

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