Results for “bed-files”

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Use when you need to apply aggregation functions (sum, mean, count, etc.) to values from overlapping intervals in one file and map them onto intervals from another file.

Generates a comprehensive, well-structured README.md file for a project by analyzing the workspace and following best practices.

Bind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading.

Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.

Organize, query, validate, and convert neuroscience and biomedical data using the Brain Imaging Data Structure (BIDS) standard.

Scans a codebase for Martin Fowler's catalog of code smells, reporting each with location, severity, and refactoring recommendations, and ranks files to build a prioritized refactoring queue.

Control Eight Sleep pods (status, temperature, alarms, schedules).

Close a work session without losing what just happened. Write a handoff brief that captures progress, the decisions you made, the unfinished items and their next steps, and the details that would evaporate overnight, then it asks whether to commit or save it, never automatically. Trigger on "wrap up this session", "write a handoff", "close out for the day", "hand this off", "what did we get done", or the end of any working session you might have to resume later.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

BLE with Mbed OS. Bluetooth.

Read artifacts from the shared bench — the workspace where desks leave findings, verdicts, and work products for each other and the operator.

Generate `.claude/PROJECT_PROFILE.md` — the project-specific facts that should be loaded into every session (deployment topology, host mapping, env file locations, verification commands). Run once per project after clone.

Systematically adds unit test coverage to existing source files in any project, tracking progress across sessions via scan, plan, and write modes.

处理和分析用户上传的文件引用，提取关键信息并提供应用建议。适用于解析@符号引用、自然语言引用、提取短剧策划相关信息

Modernizes legacy scripts (bash, Node, Python) by replacing deprecated APIs, adding error handling, converting callbacks to async/await, and improving maintainability. Turns brittle one-off scripts into reliable, documented tools.

Control Eight Sleep pods (status, temperature, alarms, schedules).

Save the current diagnosis state to disk for cross-session recall, including conclusions, rejected directions, and next steps.

Template do pack (dominio/15-filas-jobs.md). Orienta o agente em regras de negocio e requisitos de produto alinhado a esse contexto.

> Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars, or creating BIDS derivatives.

Start-of-session context pickup. Reads the latest handoff file and resumes work where the last session left off. Run this at the start of a new session if a handoff file exists.

Skill for the Sessions area of paddock. 50 symbols across 13 files.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.