Agent skill

man

Enhanced man page viewer with FZF integration and AI-powered command explanation. Core Scenario: When the user needs to browse manual pages or requires an AI explanation of complex command options.

Stars 19
Forks 4

Install this agent skill to your Project

npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/man

SKILL.md

man - Enhanced Manual Page Viewer

The man module extends the standard system manual capabilities by adding interactive browsing via FZF and integrating with AI services like ManKier to explain complex command strings.

When to Activate

  • When the user wants to search for man pages using keywords.
  • When an interactive list of all system man pages is required.
  • When the user needs an AI to explain the meaning of specific command flags (e.g., tar -czvf).
  • When a quick community reference (TLDR style) is needed for a command via x man :keyword.

Core Principles & Rules

  • Interactive Search: Use --fzf for a searchable TUI experience.
  • AI Explanation: Leverage the --explain flag to breakdown complex commands into readable summaries.
  • Hybrid Support: Support for accessing TLDR content directly from within the man command using the : prefix.

Patterns & Examples

Fuzzy Search Manuals

bash
# Interactively choose from all system manual pages
x man --fzf

AI Command Explanation

bash
# Use AI to explain exactly what these tar flags do
x man --explain "tar -czvf"

Quick TLDR Style

bash
# View the simplified TLDR reference for ssh
x man :ssh

Checklist

  • Confirm if the user needs the full manual or just a quick explanation.
  • Verify if the command string for explanation is complete.

Expand your agent's capabilities with these related and highly-rated skills.

x-cmd/skill

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.

19 4
Explore
x-cmd/skill

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.

19 4
Explore
x-cmd/skill

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.

19 4
Explore
x-cmd/skill

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.

19 4
Explore
x-cmd/skill

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.

19 4
Explore
x-cmd/skill

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.

19 4
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results