क्वेरी सक्रिय

स्किल्स खोजें

अपने एजेंट के लिए सही क्षमता खोजें।

लोकप्रिय खोजें
परिणाम
4,166
इस क्वेरी से मिलने वाले स्किल्स
पृष्ठ
88
209 में से
कीवर्ड
python
नाम, टैग या विवरण से खोजें
testing
70

testing-python

Rule 07: Testing. Use when writing tests, reviewing test coverage, or setting up testing.

TheBeardedBearSAS
TheBeardedBearSAS
testing-security
open
framework-internals
69

tlaplus-spec-generator

Automatically generate TLA+ specifications from source code (C/C++, Python) for formal verification of distributed systems. Use when users need to: (1) Generate TLA+ specs from program implementations, (2) Model distributed systems, consensus protocols, or concurrent algorithms, (3) Extract state variables, actions, and invariants from code, (4) Create formal specifications for model checking with TLC, (5) Verify safety and liveness properties of distributed systems. Particularly effective for message-passing systems, replication protocols, consensus algorithms, and distributed transactions.

ArabelaTso
ArabelaTso
development
open
framework-internals
69

smv-model-extractor

Automatically extract abstract finite-state models in SMV/NuSMV format from source code (C/C++, Java, Python) for formal model checking. Use when users need to: (1) Generate SMV models from program code for verification, (2) Extract state-transition models from protocol implementations, (3) Analyze control flow and data flow to construct formal models, (4) Create models for checking safety and liveness properties, (5) Convert imperative code to declarative state machines. Particularly effective for protocol implementations, concurrent systems, and control logic with clear state transitions.

ArabelaTso
ArabelaTso
development
open
framework-internals
69

module-component-generator

Generates complete modules and components from interface contracts and specifications. Use when Claude needs to build larger software components, implement interfaces, create service layers, or generate complete modules with multiple related classes. Supports Python (with type hints and protocols) and Java (with interfaces and abstract classes). Trigger when users request "implement this interface", "generate a module for", "create a service layer", "build a component that implements", or provide interface definitions that need implementation.

ArabelaTso
ArabelaTso
development
open
framework-internals
69

imperative-to-coq-model-extractor

Extract abstract mathematical models from imperative code (C, C++, Python, Java, etc.) suitable for formal reasoning in Coq. Use when the user asks to model imperative code in Coq, create Coq specifications from imperative programs, extract mathematical models for verification, or translate imperative algorithms to Coq for formal reasoning and proof.

ArabelaTso
ArabelaTso
development
open
package-distribution
69

python-to-lean4-translator

Translate Python programs to equivalent Lean4 code while preserving semantics and ensuring type safety. Use when users ask to convert, translate, or port Python code to Lean4, or when they need to verify Python algorithms using Lean4's theorem proving capabilities. Handles functions, classes, data structures, control flow, and ensures the generated Lean4 code is well-typed, executable, and can successfully run.

ArabelaTso
ArabelaTso
development
open
package-distribution
69

uv-workflow

Master uv package manager for Python: project setup, dependency management, virtual environments, lockfiles, CI/CD integration, Docker builds, and migration from pip/poetry. MUST BE USED when user mentions: "uv", "uv add", "uv run", "uv sync", "uv init", "uv lock", "uv venv", "uv pip", "pyproject.toml", "python project setup", "python dependencies", "virtual environment", "venv", "pip install", "poetry to uv", "migrate from pip", "lockfile python", "requirements.txt", "setup.py", "pip freeze", "uv tool", "install package", "add dependency", "python environment", "new python project", "package manager python", "create project", "uv export", "uv cache", "uv python". 10-100x faster than pip. Covers init, add, sync, lock, run, Docker, CI/CD. NOT for npm/pnpm/yarn (JS toolchain), Rust cargo, or deployment (use deployment-assistant).

Aedelon
Aedelon
development
open
lab-tools
69

state-snapshot-instrumenter

Instrument programs (Python, C/C++, Java) to capture snapshots of key program states at runtime, including variables, memory, and call stacks. Use when you need to debug complex issues, reproduce test cases, prepare traces for formal verification, or analyze program execution. Supports manual instrumentation points, automatic function/method instrumentation, and conditional triggers. Outputs structured JSON snapshots for debugging, replay, and verification workflows.

ArabelaTso
ArabelaTso
research
open
lab-tools
69

replay-oriented-instrumentation

Instruments programs to record execution information for deterministic replay debugging. Use when debugging hard-to-reproduce bugs (race conditions, timing issues, intermittent failures, heisenbugs), reproducing production failures, or analyzing complex execution sequences. Records non-deterministic events (I/O, threading, randomness, time) to enable exact replay of program executions. Supports Python, JavaScript, Java, and C/C++ with both custom instrumentation and existing replay tools.

ArabelaTso
ArabelaTso
research
open
lab-tools
69

code-instrumentation-generator

Automatically instruments source code to collect runtime information such as function calls, branch decisions, variable values, and execution traces while preserving original program semantics. Use when users need to: (1) Add logging or tracing to code for debugging, (2) Collect runtime execution data for analysis, (3) Monitor function calls and control flow, (4) Track variable values during execution, (5) Generate execution traces for testing or profiling. Supports Python, Java, JavaScript, and C/C++ with configurable instrumentation levels.

ArabelaTso
ArabelaTso
research
open
llm-ai
68

synth-api

Use the Synth AI API (via Python SDK or HTTP) from inside OpenCode / the Synth-AI TUI

synth-laboratories
synth-laboratories
data-ai
open
scripting
68

frappe-syntax-serverscripts

Use when writing Python code for ERPNext/Frappe Server Scripts including Document Events, API endpoints, Scheduler Events, and Permission Queries. Prevents the #1 AI mistake: using import statements in Server Scripts (sandbox blocks ALL imports). Covers frappe.* methods, event name mapping, and correct v14/v15/v16 syntax. Keywords: Server Script, frappe, ERPNext, sandbox, import, doc event, validate, on_submit, before_save, server script example, import not allowed, sandbox rules, which script type to use.

OpenAEC-Foundation
OpenAEC-Foundation
development
open
full-stack
67

fullstack-template-generator

Generates a complete fullstack application template with Python FastAPI backend and React Vite frontend. Includes OpenAI ChatGPT integration, CORS configuration, comprehensive error handling, and a modern Tailwind CSS + shadcn/ui React UI. Use this skill when the user wants to bootstrap a new fullstack web application project with both API backend and web frontend components ready to go.

pingcy
pingcy
development
open
package-distribution
67

deps-update

Update Python dependencies to latest versions using uv, regenerate lock and requirements.txt, then verify linting and tests pass. Fix breakage from API changes in bumped packages. Use when the user says "deps update", "bump dependencies", or "update deps".

openshift
openshift
development
open
ide-plugins
66

python

Write idiomatic Python with advanced features. Use for Python development, refactoring, or optimization.

htlin222
htlin222
tools
open
code-quality
65

critical-code-reviewer

Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.

posit-dev
posit-dev
testing-security
open
media
65

videodb

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.

video-db
video-db
content-media
open
media
65

pydub-automation

Automate repetitive audio tasks with Python using PyDub for batch processing, format conversion, normalization, and content assembly. Use when: Processing large numbers of audio files consistently; Converting between audio formats at scale; Normalizing loudness across a batch of files; Assembling intros/outros automatically to episodes; Trimming silence or extracting segments programmatically

guia-matthieu
guia-matthieu
content-media
open
payment
64

payment-integration

Implement payment integrations with SePay (Vietnamese payment gateway with VietQR, bank transfers, cards) and Polar (global SaaS monetization platform with subscriptions, usage-based billing, automated benefits). Use when integrating payment processing, implementing checkout flows, managing subscriptions, handling webhooks, processing bank transfers, generating QR codes, automating benefit delivery, or building billing systems. Supports authentication (API keys, OAuth2), product management, customer portals, tax compliance (Polar as MoR), and comprehensive SDK integrations (Node.js, PHP, Python, Go, Laravel, Next.js).

The1Studio
The1Studio
business
open
पिछला
पृष्ठ 88 / 209
अगला