Loading...
Loading...
Found 1,051 Skills
Fetch real-time web data via the hasdata CLI. Use when the user wants search results, news, fact-checks, product or seller info, current prices, reviews, real-estate listings or sold comps, vacation rentals, local-business contact details, job postings, salary research, search trends, images, flights, social profiles, or to scrape any URL (HTML / markdown / AI-extracted JSON). Also use when the user asks to summarize a web page, ground a prompt with current information, verify a URL is live or render a JavaScript-heavy page, monitor a price over time, find a phone number or address for a business, build a competitor map, identify recent sold comparables, gather employer reviews, fan out a list of items to per-item details, or check what's being said online about a topic right now. Backed by Google, Bing, Amazon, Shopify, Zillow, Redfin, Airbnb, Yelp, YellowPages, Indeed, Glassdoor, Instagram, Google Maps / Trends / News / Images / Flights / Events APIs.
Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. Use when chunking PDFs, HTML, plain text, or Markdown; extracting entities and relationships from text with an LLM (SimpleKGPipeline, neo4j-graphrag); loading JSON via apoc.load.json; building Document→Chunk→Entity graph structures; or connecting LangChain/LlamaIndex document loaders to Neo4j. Covers neo4j-graphrag SimpleKGPipeline, LLM Graph Builder web UI, entity resolution, chunking strategies, and graph schema design for RAG pipelines. Does NOT handle structured CSV/relational import — use neo4j-import-skill. Does NOT handle GraphRAG retrieval after ingestion — use neo4j-graphrag-skill. Does NOT handle vector index creation — use neo4j-vector-search-skill.
Review a pull request or contribution deeply, explain it tutorial-style for a maintainer, and produce a polished report artifact such as HTML or Markdown. Use when asked to analyze a PR, explain a contributor's design decisions, compare it with similar systems, or prepare a merge recommendation.
Use when Obsidian note automation runs in cron/headless environments and obsidian-cli emits URI failure signatures (for example, `Failed to execute Obsidian URI`) that may not set a non-zero exit code. Detect false-success cases, fallback to deterministic markdown file writes, and record traceable fallback paths in run artifacts.
Route durable graph-building requests into one honest mode: assistant-native install, local Python build, incremental refresh, graph query follow-up, or a graphify-style structural fallback for markdown-heavy corpora. Use when the user wants `GRAPH_REPORT.md`, `graph.json`, `graph.html`, repo/corpus relationship tracing, mixed code+docs+asset graphing, or graph-backed architecture understanding that should persist across sessions. Route simple locate/reference work to `codebase-search`, narrative knowledge-base work to `llm-wiki`, and project-memory handoff to `opencontext`.
Best Practice Advisor for AGENTS.md / CLAUDE.md. It is used when users ask about the format, structure, and best practices of agents markdown, AGENTS.md, CLAUDE.md, Claude Code memory, and AI coding agent instruction files; it also supports reviewing, diagnosing, rewriting, optimizing, or creating agent instruction files such as AGENTS.md, CLAUDE.md, CLAUDE.local.md, and .claude/rules from scratch. It is not suitable for general README writing unless the goal is to provide project context for AI coding agents.
Ejecutar la batería de verificaciones automatizadas de un proyecto TypeScript/Node antes de aceptar una implementación como apta para merge - `tsc --noEmit` (crítico, fail-fast), `eslint` (calidad), suite de tests (comportamiento), `build` (integración) y `sonar-scanner` (análisis estático). Usar siempre que el usuario pida "revisión de código", "code review", "valida el código", "ejecuta los checks", "revisa antes de PR/merge", o tras terminar una historia o TK que toque código TS. Devolver un informe Markdown con estado por check, errores agrupados, veredicto (apto / no apto / incompleto) y próximas acciones priorizadas. No corrige código ni modifica configuración.
Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.
Bun JavaScript/TypeScript runtime and all-in-one toolkit. Covers runtime, package manager, bundler, test runner, HTTP server, WebSockets, SQLite, S3, Redis, file I/O, shell scripting, FFI, Markdown parser. Keywords: bun, bunx, bun install, bun run, bun test, bun build, Bun.serve, Bun.file, bun:sqlite, Bun.markdown.
Generate detailed implementation plans for complex tasks. Creates comprehensive strategic plans in Markdown format with objectives, step-by-step implementation tasks using checkbox format, verification criteria, risk assessments, and alternative approaches. All plans MUST be validated using the included validation script. Use when users need thorough analysis and structured planning before implementation, when breaking down complex features into actionable steps, or when they explicitly ask for a plan, roadmap, or strategy. Strictly planning-focused with no code modifications.
Convert content between formats, summarize at different levels, and repurpose for various platforms. Use when asked to convert to markdown, create summaries of varying lengths, make tweets, create flashcards, or process video content. Triggers include "convert to markdown", "summarize in one sentence", "make this a tweet", "create flashcards", "TL;DR", "summarize this video", "export as CSV".
Creates, edits, and manages Obsidian vault content including notes, templates, daily notes, and dataview queries. Use when working with markdown files in an Obsidian vault, creating notes, writing templates, building dataview queries, or organizing knowledge management content.