debugging
16
perf-reviewer
Review code for performance issues and run benchmarks. Use when user asks to analyze performance, compare AILANG vs Python vs Go, run benchmarks, or review code for optimization opportunities.
sunholo-data
tools
অনুসন্ধান সক্রিয়
স্কিল খুঁজুন
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
জনপ্রিয় অনুসন্ধান
ফলাফল
4,166
এই অনুসন্ধানের সাথে মিলে যাওয়া স্কিল
পৃষ্ঠা
115
209টির মধ্যে
কীওয়ার্ড
python
নাম, ট্যাগ বা বিবরণ দিয়ে খুঁজুন
sql-databases
16
sqlite-ops
Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode.
0xDarkMatter
databases
sql-databases
16
python-database-ops
SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
0xDarkMatter
databases
cli-tools
16
python-cli-ops
CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.
0xDarkMatter
tools
project-management
15
knowledge-transfer
Progressive learning methodology for structured onboarding using time-boxed learning paths (Day-1, Week-1, Month-1), validation checkpoints, and scaffolding principles. Use when onboarding new contributors, reducing ramp-up time from weeks to days, creating self-service learning paths, systematizing ad-hoc knowledge sharing, or building institutional knowledge preservation. Provides 3 learning path templates (Day-1: 4-8h setup→contribution, Week-1: 20-40h architecture→feature, Month-1: 40-160h expertise→mentoring), progressive disclosure pattern, validation checkpoint principle, module mastery best practice. Validated with 3-8x onboarding speedup (structured vs. unstructured), 95%+ transferability to any software project (Go, Rust, Python, TypeScript). Learning theory principles applied: progressive disclosure, scaffolding, validation checkpoints, time-boxing.
yaleh
business
project-management
15
technical-debt-management
Systematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjective, need objective prioritization, planning refactoring work, establishing debt prevention practices, or tracking debt trends over time. Provides 6 methodology components (measurement with SQALE index, categorization with code smell taxonomy, prioritization with value-effort matrix, phased paydown roadmap, trend tracking system, prevention guidelines), 3 patterns (SQALE-based quantification, code smell taxonomy mapping, value-effort prioritization), 3 principles (high-value low-effort first, SQALE provides objective baseline, complexity drives maintainability debt). Validated with 4.5x speedup vs manual approach, 85% transferability across languages (Go, Python, JavaScript, Java, Rust), SQALE industry-standard methodology.
yaleh
business
machine-learning
15
sap-hana-ml
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
secondsky
data-ai
productivity-tools
15
sap-btp-business-application-studio
This skill provides comprehensive guidance for SAP Business Application Studio (BAS), the cloud-based IDE on SAP BTP built on Code-OSS. Use when setting up BAS subscriptions, creating dev spaces, connecting to external systems, deploying MTA applications, troubleshooting connectivity issues, managing Git repositories, configuring runtime versions, or using the layout editor. Keywords: SAP Business Application Studio, BAS, SAP BTP, dev space, Cloud Foundry, MTA, multitarget application, SAP Fiori, CAP, HANA, destination, WebIDEEnabled, Cloud Connector, Service Center, Storyboard, Layout Editor, ABAP, OData, subscription, entitlements, role collection, Business_Application_Studio_Developer, Git, clone, push, pull, Gerrit, PAT, OAuth, asdf, runtime, Node.js, Java, Python, Task Explorer, CI/CD, Yeoman, generator, template wizard, mbt, mtar, debugging, breakpoint
secondsky
tools
testing
15
testing-strategy
Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.
yaleh
testing-security
productivity-tools
15
moai-lang-python
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.
modu-ai
tools
sql-databases
15
sqlalchemy
Python SQL toolkit and Object Relational Mapper (ORM). Use when working with databases in Python, defining models, building queries, managing sessions, or interacting with SQL databases using Python objects.
pavelzw
databases
astronomy-physics
15
geomaster
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, and 7 programming languages (Python, R, Julia, JavaScript, C++, Java, Go) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
agent-skills-hub
research
scientific-computing
15
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.
agent-skills-hub
research
data-analysis
14
csv-data-summarizer
Analyzes CSV files and generates comprehensive summary statistics and visualizations using Python and pandas - automatically and immediately without asking what the user wants.
leegonzales
data-ai
productivity-tools
14
ha-integration-dev
Use when user EXPLICITLY requests "custom integration", "custom component", "Python for HA", "HACS", or "config_flow". NOT for: YAML automations (use home-assistant skill), Node-RED flows (use node-red skill), ESPHome device configs (use esphome skill).
tonylofgren
tools
architecture-patterns
14
python-bot-standards
Coding standards, modular architecture, and common execution patterns for the PolyFlup Python backend.
Niller2005
development
productivity-tools
14
project-setup
Bootstrap new projects with strong typing, linting, formatting, and testing. Supports Python, TypeScript, and other languages with research fallback.
ratacat
tools
productivity-tools
14
generate-appworld-code
Generate Python code to solve AppWorld agent tasks using playbook bullet guidance. Use when the AppWorld executor needs executable Python code for tasks involving Spotify, Venmo, Gmail, Calendar, Contacts, or other AppWorld APIs.
jmanhype
tools
git-workflows
14
preferences
Use when aligning with Georgios’s default Git/GitHub conventions—cloning with gh, Conventional Commits, atomic staging, and guarded GitHub Actions for Rust/Python/TypeScript—so work matches his standard workflows.
gakonst
devops