office-reader
Office document reading capabilities using the markitdown library.
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Office document reading capabilities using the markitdown library.
Git version control operations for repositories.
Web retrieval capabilities using Jina AI's Reader and Search APIs.
Coding assistant capabilities including file investigation, reading, searching, editing, and command execution.
Testing capabilities including running pytest, listing tests, and generating coverage reports.
Operating System file manipulation capabilities (list, bulk create, bulk move, regex move).
Write and publish blog posts in the SvelteKit markdown blog with header images, proper frontmatter, and organized media files.
Troubleshoots pickme indexing issues including missing files, stale indexes, gitignore conflicts, and root coverage. Use when files are missing from pickme, index seems stale, or when debugging, troubleshooting...
Guides pickme configuration with recipes for common tasks like excluding directories, adding namespaces, adjusting depth, and toggling gitignore handling. Use when editing pickme config, troubleshooting indexin...
Clean up and modernize technical Markdown notes: fix formatting errors, typos, and overly colloquial phrasing; normalize style and spacing; carefully update clearly outdated tools or libraries while staying fai...
Complete guide for building interactive 3D spaces in Portals. Use when creating spaces, configuring triggers/effects, writing function expressions, setting up NPCs, quests, token trading, iframes, or any Portal...
Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, produ...
Go repository implementation with SQLC integration following hexagonal architecture. Use when implementing data persistence layer, creating repository interfaces, or working with SQLC-generated queries. Focuses...
Go repository testing with SQLC integration following hexagonal architecture. Use when writing integration tests for repository layer, testing database operations, and validating domain model persistence. Focus...
Control browser, automate browser interactions, navigate to URLs, click on webpages, fill forms, take screenshots, inspect webpages, web scraping with browser, test websites manually, or interact with web pages...
Run tests with AI-powered analysis and clean summarized output. Use this as the DEFAULT way to run test suites (pytest, jest, go test, make test, npm test, etc.) to keep conversation context clean. ATR analyzes...
Run behavior tests, run browser tests, execute .test.txt files, run e2e tests with ATR, natural language browser testing, AI browser tests, behavior-driven browser testing, or run browser-based behavior tests u...
Use when testing UI changes, verifying builds work, or validating extension behavior on PoE trade website or Storybook
Deep competitive intelligence combining web scraping, LinkedIn data, social media monitoring, leadership analysis, GitHub activity, Glassdoor sentiment, and community insights. Analyzes founders/C-level profile...
Deep multi-platform intelligence analysis combining LinkedIn (profile, posts, activity), Twitter/X (tweets, engagement), Reddit (discussions, community), web presence (articles, GitHub, blogs), and company inte...
Deep multi-platform intelligence search across ALL AnySite MCP sources (LinkedIn, Twitter, Instagram, Reddit, Y Combinator, web). Auto-detects search type (person, company, or topic) and performs CASCADING rese...
Universal VC investor analysis and outreach agent. Analyzes any startup project, understands fundraising stage, identifies ideal investor profile, scores investors, detects portfolio conflicts, generates person...
Build and refine Ideal Customer Profiles (ICP) using real LinkedIn data via AnySite MCP. Analyzes existing customers, identifies patterns, generates scoring criteria, and finds lookalike prospects. Use when use...
deploy the Wasp app to Railway or Fly.io using Wasp CLI.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.