Results for “semver”

Manages semantic versioning and changelog documentation for Flutter projects, defining a structured process for recording additions, changes, and removals across backend and mobile releases.

Semantic versioning releases — version bumps, changelogs, tags, publishing. Use when preparing a new release: deciding the version bump, drafting the changelog, tagging the commit, and publishing to the project's distribution channel.

Run Semgrep static analysis scans with automatic language detection, parallel subagent execution, and merged SARIF output. Supports full ruleset coverage or high-confidence security vulnerability filtering.

Audits trending open-source repos for exploitable vulnerabilities using Semgrep, TruffleHog, osv-scanner, and Slither, then routes findings to responsible disclosure channels (PVR for code flaws, public PRs for dependency CVEs).

Runs Semgrep static analysis via the semgrep CLI with custom YAML rule packs, supports community rules, parses JSON output, and integrates with the Semgrep App API for findings management.

Trains, evaluates, exports, quantizes, and runs inference for SegFormer semantic segmentation models using NVIDIA TAO.

Runs Semgrep static analysis with custom YAML rules, supporting taint tracking, metavariable comparisons, and pattern-not-inside exclusions for precise vulnerability detection.

Layer 0 of the keyword research pipeline. Builds a topic-graph snapshot for the brand's category before any seed work, approximated from Semrush phrase_related + phrase_questions on the category seeds plus the brand's own ranking footprint (domain_organic_unique). Idempotent on brand-config hash; never blocks the pipeline; cheap.

Model, simulate, and optimize Serializer/Deserializer (SerDes) systems — serial and parallel links — using MATLAB SerDes Toolbox. Design NRZ and PAM-N links (PAM3 through PAM16) — explore equalization architectures (FFE, CTLE, DFE), sweep or optimize parameters with genetic algorithms, and characterize channels from loss models, S-parameter files, or crosstalk scenarios. Process captured waveforms through equalization chains, build eye diagrams, and decompose jitter. Deliver IBIS-AMI models for Tx, Rx, Redriver, or Retimer by exporting to Simulink and compiling .ami/.ibs/.dll/.so files. Covers the full arc from initial design exploration and parameter optimization to compliance testing and compiled model validation, including custom datapath blocks for nonstandard equalization.

Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.

Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword. Postgres + pgvector with auto-tagging.

Autonomous spec-driven development agent. Syncs DEV_SPEC.md into chapter-based reference files, identifies the next pending task from the schedule, implements code following spec architecture and patterns, runs tests with up to 3 auto-fix rounds, and persists progress with atomic commits. Use when user says "auto code", "自动开发", "自动写代码", "auto dev", "一键开发", "autopilot", or wants fully automated spec-to-code workflow.

Autonomous spec-driven development agent. Syncs DEV_SPEC.md into chapter-based reference files, identifies the next pending task from the schedule, implements code following spec architecture and patterns, runs tests with up to 3 auto-fix rounds, and persists progress with atomic commits. Use when user says "auto code", "自动开发", "自动写代码", "auto dev", "一键开发", "autopilot", or wants fully automated spec-to-code workflow.

Server-Sent Events for real-time server-to-client streaming. Express, Fastify, FastAPI, Spring WebFlux SSE implementations. Event streams, reconnection, and EventSource API. USE WHEN: user mentions "SSE", "Server-Sent Events", "EventSource", "event stream", "text/event-stream", "live feed", "streaming updates" DO NOT USE FOR: bidirectional communication - use `socket-io`; WebRTC - use `webrtc`; LLM streaming - use AI SDK skills

Cria selos visuais generativos seeded usando p5.js, gerando HTML standalone com canvas de arte algorítmica reprodutível. Use esta skill sempre que o usuário pedir um selo, identidade visual de projeto, hero generativo, capa única reprodutível, ou artwork derivado de um hash. Deve ser ativada quando o usuário mencionar termos como "selo", "selo generativo", "identidade visual do projeto", "hero capa", "artwork seeded", "Art Blocks style", "p5.js generativo", "capa reprodutível", "selo de documentação" ou pedir um elemento decorativo único e reprodutível derivado de uma string. Funciona com qualquer string como seed (hash do soul.md, nome do projeto, ID arbitrário). Sempre gera HTML standalone com p5.js via CDN.

Generate high-quality sentence and text embeddings for semantic similarity, clustering, and retrieval using 5000+ pre-trained models. Supports multilingual and domain-specific embeddings for RAG and semantic search.

Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines.

Autonomous spec-driven development agent. Syncs DEV_SPEC.md into chapter-based reference files, identifies the next pending task from the schedule, implements code following spec architecture and patterns, runs tests with up to 3 auto-fix rounds, and persists progress with atomic commits. Use when user says "auto code", "自动开发", "自动写代码", "auto dev", "一键开发", "autopilot", or wants fully automated spec-to-code workflow.

Provides deep generative models for single-cell omics analysis, including probabilistic batch correction, transfer learning, differential expression, and multi-modal integration.

Generates realistic seed data for development and testing with configurable volumes and relationships

VIPER v2.1 — Range-bound liquidity sniper. Enters at support/resistance when Bollinger Bands are tight, ATR is low, RSI is at extremes within the range, and volume is declining. Works when nothing is trending — the chop predator. USD-weighted OI filtering (min $5M). DSL High Water Mode (mandatory). 5-minute scan interval. Second-best performer in the Senpi zoo at +6.2% ROI.

Generate, predict, and embed protein sequences and structures using ESM3, ESMC, and ESMFold2 with local or cloud inference.

Generates and manages vector embeddings for semantic search and RAG retrieval across knowledge bases, with self-learning capabilities.

Layer 1a of the keyword research pipeline. Generates seed keywords (broad niche terms) and modifiers (best, how-to, vs, calculator, etc.) from brand-config so the keyword multiplier has a real foundation to expand from. Replaces the "AI gives you generic keywords" problem with the structured 10-second hero prompt.

Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear, appear twice, lose their styles, ignore Tailwind classes, sit behind a modal, or don't follow dark mode. Companion to `taste-skill`'s library table, which recommends Sonner for toasts. Source: github.com/emilkowalski/skills.

Segment Everything Everywhere All at Once

Creates a cyber-themed terminal deck for CLI, agent, or dev tool reviews with CRT scanlines, green monospace text, and three-tier tags.

Privacy-respecting metasearch using your local SearXNG instance. Search the web, images, news, and more without external API dependencies.

Server-Sent Events implementation, streaming patterns, and real-time updates.

Optimizes hot-path scalar loops in .NET 8+ with cross-platform Vector128/Vector256/Vector512 SIMD intrinsics, or replaces manual math loops with single TensorPrimitives API calls.

Routes Omniverse Realtime Viewer requests to focused reference documents and enforces architectural rules for building USD viewer applications.

Hyperliquid L1 reference for Dwellir endpoints: HyperEVM JSON-RPC, Info API proxy, gRPC L1 streaming, order book WebSocket, dedicated nodes, and trading patterns. Covers HyperCore trading layer, HyperEVM smart contracts (chain ID 999), market data queries, perpetuals metadata, spot markets, and best practices. Use when working with Hyperliquid, HYPE, HyperEVM, HyperCore, perpetual futures, order books, funding rates, or Hyperliquid trading through Dwellir. Triggers on mentions of hyperliquid, HYPE, HyperEVM, HyperCore, order book, perpetuals, funding rate, l2Book, l4Book, gRPC streaming, nanoreth, or hyperliquid trading.