Agent skill
humantime
Convert between seconds and human-readable time formats (e.g., 1h30m). Core Scenario: When the user needs to parse or display durations in scripts or terminal output.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/humantime
SKILL.md
humantime - Human-Friendly Time Conversion
The humantime module simplifies time manipulation by converting raw seconds into readable formats (like 1h 30m) and vice-versa. It supports fractional seconds and automatic type detection.
When to Activate
- When displaying script execution duration to users.
- When calculating cache expiration times based on human-readable input.
- When checking if a duration falls within a specific limit (
insubcommand).
Core Principles & Rules
- Auto-Detection: Inputting an integer (e.g.,
3600) converts to time format (1h), while a time string (e.g.,5m) converts to seconds (300). - Time Units: Supports
d(days),h(hours),m(minutes), ands(seconds). - Fractional Precision: Handles decimal seconds (e.g.,
3661.5s = 1h1m1.5s) accurately.
Patterns & Examples
Convert Seconds to Readable
# Convert one day into readable format
x humantime 86400
Convert Readable to Seconds
# Get raw seconds for 2 hours and 30 minutes
x humantime 2h30m
Within Range Check
# Check if 240 seconds is within 5 minutes (returns 0 for yes)
x humantime in 5m 240
Checklist
- Confirm if the input is an integer (seconds) or a string (readable).
- Verify if high precision (fractional seconds) is required.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
pufferlib
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Didn't find tool you were looking for?