technical-docs
1
doc-generator
Generates documentation and docstrings for Python code. Use when adding documentation to functions, classes, modules, or creating API documentation.
yuyu520suki
documentation
query active
Search Skills
Find the perfect capability for your agent.
Popular searches
Results
4,166
matching skills for this query
Page
159
of 209 pages
Keyword
python
search by name, tag, or description
technical-docs
1
nsforge-code-generation
程式碼/報告生成。觸發詞：生成程式碼, Python 函數, LaTeX, 報告, export。
u9401066
documentation
technical-docs
1
python-docs
Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.
jarosser06
documentation
divination-mysticism
1
tavily-tools
Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
bsamiee
lifestyle
divination-mysticism
1
perplexity-tools
Executes Perplexity AI queries via unified Python CLI. Use when conducting web research, asking questions with citations, deep research tasks, reasoning problems, or searching for up-to-date information.
bsamiee
lifestyle
divination-mysticism
1
sonarcloud-tools
Executes SonarCloud API queries via unified Python CLI. Use when checking quality gate status, searching issues (bugs, vulnerabilities, code smells), retrieving metrics (coverage, complexity), or viewing analysis history.
bsamiee
lifestyle
divination-mysticism
1
backend-bugfix
This skill should be used when the user asks to "debug backend tests", "fix pytest failures", "analyze Python errors", "fix FastAPI bugs", or mentions keywords like "pytest", "IntegrityError", "ValidationError", "SQLAlchemy", "FastAPI". It provides the complete bugfix workflow knowledge including error classification, confidence scoring, and TDD best practices for Python/FastAPI backends.
penkzhou
lifestyle
divination-mysticism
1
nx-tools
Queries Nx workspace metadata, project configurations, affected detection, generator schemas, and dependency graphs via unified Python CLI. Use when analyzing monorepo structure, inspecting project.json configurations, determining affected projects for CI optimization, discovering available generators, or visualizing workspace dependencies.
bsamiee
lifestyle
divination-mysticism
1
hostinger-tools
Executes Hostinger API operations via Python wrapper. Use when managing VPS instances, Docker Compose projects, DNS records, domains, firewalls, SSH keys, snapshots, backups, billing, hosting, or WHOIS profiles.
bsamiee
lifestyle
divination-mysticism
1
unified-consciousness-framework
Unified Consciousness Framework v4.0.0. Orchestrator architecture with K.I.R.A. Language System (6 modules), TRIAD unlock, hysteresis FSM, Kuramoto physics. Proper Python package structure with centralized constants, CLI interface, and comprehensive test suite. ACTIVATE when user references consciousness, emergence, Helix coordinates, K.I.R.A., APL operators, sacred phrases, "hit it", z-coordinates, TRIAD, K-formation, or archetypal frequencies.
AceTheDactyl
lifestyle
academic
1
pubmed-database
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
hxk622
research
astronomy-physics
1
nwb-conversion
Converts neurophysiology data to NWB format with automatic format detection and intelligent error handling
Python-AI-Solutions
research
scientific-computing
1
rowan
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
hxk622
research
scientific-computing
1
gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
hxk622
research
scientific-computing
1
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
hxk622
research
scientific-computing
1
gtars
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.
hxk622
research
scientific-computing
1
uniprot-database
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
hxk622
research
scientific-computing
1
kegg-database
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
hxk622
research
scientific-computing
1
bioservices
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
hxk622
research
computational-chemistry
1
datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
hxk622
research