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Found 2,396 Skills
Unified project scaffolding for Node.js, Python, Rust, and Mobile.
Comprehensive guide for production-ready Python backend development and software architecture at scale. Use when designing APIs, building backend services, creating microservices, structuring Python projects, implementing database patterns, writing async code, or any Python backend/server-side development task. Covers Clean Architecture, Domain-Driven Design, Event-Driven Architecture, FastAPI/Django patterns, database design, caching strategies, observability, security, testing strategies, and deployment patterns for high-scale production systems.
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
8 production-ready product skills: product manager toolkit with RICE prioritization, agile product owner, product strategist with OKR cascades, UX researcher, UI design system, competitive teardown, landing page generator, and SaaS scaffolder. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
This skill should be used when the user asks to "create a new FastAPI project", "setup a fastapi api", "new fastapi project", "scaffold a fastapi app", "initialize a fastapi backend", or "start a new python api". Scaffolds a complete production-ready FastAPI project with SQLAlchemy, PostgreSQL, JWT auth, Pydantic v2 settings, and uv package management.
Use when creating Frappe Whitelisted Methods (Python API endpoints) for v14/v15/v16. Covers @frappe.whitelist() decorator, frappe.call/frm.call invocations, permission checks, error handling, response formats, and client-server communication. Keywords: whitelisted, API endpoint, frappe.call, frm.call, REST API, @frappe.whitelist, allow_guest, API endpoint example, frappe.whitelist syntax, how to expose function.
Use for any task requiring a real browser: viewing web pages, accessing login-gated sites, operating web UIs, scraping social media (Xiaohongshu/Weibo/Twitter/X, etc.), reading JS-rendered or dynamic pages, bypassing bot detection, form filling, e2e checks, and general web automation. Prefer this over WebFetch whenever the page needs JS execution, authenticated session, interaction, or stealth. Invoke via terminal CLI (`bridgic-browser ...`) or Python SDK (`from bridgic.browser.session import Browser`, `from bridgic.browser.tools import BrowserToolSetBuilder`). Also covers accessibility snapshot refs, CLI-SDK mapping/migration, and generating SDK code from CLI action steps.
runpod-flash — code-first serverless: write Python locally, run it on remote Runpod GPUs/CPUs with `flash dev` (hot-reload + live worker logs), then `flash deploy`. Use for @Endpoint/@remote functions, resource config, and debugging flash deployments. For CLI-only infra management use runpodctl or runpod-mcp.
Write comprehensive code documentation including JSDoc, Python docstrings, inline comments, function documentation, and API comments. Use when documenting code, writing docstrings, or creating inline documentation.
Validate test effectiveness with mutation testing using Stryker (TypeScript/JavaScript) and mutmut (Python). Find weak tests that pass despite code mutations. Use to improve test quality.
Configures Husky, lint-staged, commitlint, and Python pre-commit
Source and evaluate candidates from LinkedIn using the linkedin_scraper Python library. Use when the user wants to (1) scrape LinkedIn profiles for candidate data, (2) evaluate candidates against a job description, (3) generate boolean search strings for sourcing, (4) produce candidate scorecards, summaries, or comparison tables, or (5) any recruiting/talent-sourcing task involving LinkedIn data.