Agent skill
sd
Modern finding and replacing tool with intuitive regex syntax and interactive FZF preview. Core Scenario: When the user needs a faster, more readable alternative to sed for text substitutions.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/sd
SKILL.md
sd - Intuitive Find & Replace Utility
The sd module is a modern alternative to sed, focusing on substitution with a more readable syntax. It integrates with FZF for real-time previews of text changes and works without local installation via x-cmd pkg.
When to Activate
- When the user wants a more intuitive syntax for text replacement.
- When needing interactive previews of search and replace effects.
- When performing fast string-based replacements without complex sed escaping.
Core Principles & Rules
- Readability: Prioritize
sdoversedfor tasks that only require straightforward substitution. - Safety: Supports
--previewto output results to stdout without touching the file. - Interactive App: Use
--fzfappfor visual confirmation of changes.
Patterns & Examples
Interactive Search and Replace
# Open interactive FZF preview for text substitution
x sd --fzfapp test.txt
String Replacement (Literal)
# Replace strings literally without treating them as regex
x sd -F "FIND_THIS" "REPLACE_WITH" file.txt
Checklist
- Confirm if the find/replace terms should be treated as literal strings (
-F). - Verify if an interactive preview is required.
- Ensure the user is aware the file will be modified unless in preview mode.
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?