fastapi-patterns
vmain
io.github.affaan-m/ECC/fastapi-patterns
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
“3D Models” 共 207 个结果
vmain
io.github.affaan-m/ECC/fastapi-patterns
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
vmain
io.github.nexu-io/open-design/imagegen-frontend-web
Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
vmain
io.github.openai/plugins/typescript-data-visualization-engineering
Build typed data visualizations in TypeScript. Use when the user wants TypeScript visualization code, typed data models, browser visualization components, UML-like diagram models, interactive graph or architecture diagram contracts, scroll-driven scene contracts, library selection guidance, or a maintainable visualization architecture beyond React- or Next-specific concerns.
vmain
io.github.github/awesome-copilot/efcore-d2-db-diagram
Generate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based database diagram, table relationships, owned types, many-to-many join tables, indexes and constraints. DO NOT USE FOR: runtime debugging, database migration execution, schema deployment, SQL performance tuning, or draw.io diagrams.
vmain
io.github.sickn33/antigravity-awesome-skills/apify-actor-development
Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
vmain
io.github.jeremylongshore/claude-code-plugins-plus-skills/cursor-model-selection
Configure and select AI models in Cursor for Chat, Composer, and Agent mode. Triggers on "cursor model", "cursor gpt", "cursor claude", "change cursor model", "cursor ai model", "cursor auto mode".
vmain
io.github.jeremylongshore/claude-code-plugins-plus-skills/cursor-api-key-management
Configure BYOK API keys for OpenAI, Anthropic, Google, Azure, and custom models in Cursor. Triggers on "cursor api key", "cursor openai key", "cursor anthropic key", "own api key cursor", "BYOK cursor", "cursor azure key".
vmain
io.github.wshobson/agents/security-requirement-extraction
Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.
vmain
io.github.AFK-surf/OpenBridge/swiftui-view-refactor
Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.
vmain
io.github.Leonxlnx/taste-skill/imagegen-frontend-web
Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
vmain
io.github.danielmiessler/Personal_AI_Infrastructure/src
Intakes existing content from external sources, classifies each chunk against the PAI destination taxonomy, and commits approved chunks with provenance. Sources: .md/.markdown/.txt, stdin, PAI TELOS/MEMORY/KNOWLEDGE dirs, CLAUDE.md/.cursorrules/OpenAI Custom Instructions, Obsidian/Notion/Apple Notes exports, journal dumps. MigrateScan.ts chunks and classifies, producing a routing table with per-target counts and confidence %. MigrateApprove.ts approval loop: --approve-all, --approve-target, --review, --dry-run. UNCLEAR never bulk-approved. Phase 6 delivers summary and /interview recommendation for sparse areas. Confidence: ≥70% auto-approve; 40-70% confirm; <40% walk-through. Destinations: TELOS (MISSION/GOALS/PROBLEMS/STRATEGIES/CHALLENGES/BELIEFS/WISDOM/MODELS/FRAMES/NARRATIVES/SPARKS), IDEAL_STATE (per-dimension explicit call), preferences (BOOKS/AUTHORS/MOVIES/BANDS/RESTAURANTS/FOOD_PREFERENCES/LEARNING/MEETUPS/CIVIC), Identity (PRINCIPAL_IDENTITY.md — always prompts), Knowledge (MEMORY/KNOWLEDGE/{Ideas,P
vmain
io.github.lxyeternal/MalSkillBench/cursor-council
Multi-Cursor orchestration for parallel task execution and AI council deliberation. Use when needing to run multiple Cursor agents in parallel, coordinate complex multi-step coding tasks, get diverse perspectives from different AI models (Opus/Sonnet/GPT) on technical decisions, or synthesize multi-agent discussions into actionable recommendations.
vmain
io.github.foryourhealth111-pixel/Vibe-Skills/designing-experiments
Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.
v2.1
io.github.unopim/unopim/unopim-backend-dev
Backend PHP development for UnoPim. Activates when writing PHP code, creating classes, models, repositories, events, listeners, or tests; or when the user mentions model, repository, controller, service, event, listener, observer, Concord, proxy, or needs to write backend code. MUST be invoked before writing any PHP tests.
vmain
io.github.midudev/autoskills/sqlalchemy-alembic-expert-best-practices-code-review
SQLAlchemy ORM and Alembic migration best practices for building safe, performant database schemas. This skill should be used when writing, reviewing, or refactoring SQLAlchemy models, Alembic migrations, or database query patterns. Triggers on tasks involving SQLAlchemy ORM, Alembic migrations, database schema changes, or query optimization.
vmain
io.github.openakita/openakita/python-sdk
Python SDK for inference.sh - run AI apps, build agents, and integrate with 150+ models. Package: inferencesh (pip install inferencesh). Supports sync/async, streaming, file uploads. Build agents with template or ad-hoc patterns, tool builder API, skills, and human approval. Use for: Python integration, AI apps, agent development, RAG pipelines, automation. Triggers: python sdk, inferencesh, pip install, python api, python client, async inference, python agent, tool builder python, programmatic ai, python integration, sdk python
vmain
io.github.toheart/cursor-agent/cursor-cdp-control
Control Cursor IDE via opencli + CDP from the terminal. Send prompts, read chat, switch models, browse history, take screenshots, create new agents, switch projects. Auto-compatible with Cursor 3 Agent standalone window and traditional Editor embedded chat. Use when users need to control Cursor from the command line, send prompts, read conversations, switch models, view history, take screenshots, create new agent tabs, switch projects, or mention keywords like cursor cdp, cursor control, cursor screenshot, cursor model switch, opencli cursor.
vmain
io.github.sickn33/antigravity-awesome-skills/lightning-architecture-review
Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs. Covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower support.
vmain
io.github.sickn33/antigravity-awesome-skills/security-requirement-extraction
Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.
vmain
io.github.markdown-viewer/skills/security
Create security architecture diagrams using PlantUML syntax with identity, encryption, firewall, and compliance stencil icons. Best for IAM flows, zero-trust models, encryption pipelines, and threat detection architectures.
vmain
io.github.timescale/pg-aiguide/design-postgres-tables
Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.
vmain
io.github.brycewang-stanford/Auto-Empirical-Research-Skills/20-wenddymacro-python-econ-skill
Use when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
vdevelop
io.github.medusajs/medusa/writing-tsdocs
Adds and updates TypeDoc (TSDoc) comments to TypeScript source files in the Medusa codebase. Covers HTTP types, API routes, UI components, data models, service interfaces, JS SDK methods, abstract providers, workflow SDK functions, core-flows workflows and steps, and events. Use when adding TSDoc comments to files in packages/core/types/src/http, packages/medusa/src/api, packages/design-system/ui/src/components, packages/modules/*/src/models, packages/core/types/src, packages/core/js-sdk/src, packages/core/utils/src, packages/core/workflows-sdk/src/utils/composer, packages/core/core-flows/src, or packages/core/utils/src/core-flows/events.ts.
vmain
io.github.ComeOnOliver/skillshub/cursor-model-selection
Configure and select AI models in Cursor for Chat, Composer, and Agent mode. Triggers on "cursor model", "cursor gpt", "cursor claude", "change cursor model", "cursor ai model", "cursor auto mode".