Market / Page Discover Next best action: Open a candidate profile
Type-filtered inventory

Browse agent candidates

Use this type-filtered index for broad candidate discovery. Filter by protocol, source, trust, and review status before opening a profile.

146395results
mcpservers / skillopen-source
77fit

Reference docs for writing Python code against the browser-use library. Read the relevant file based on what the user needs.

Coding & DevelopmentWorkflow AutomationmcphttpcliMCP readyHigh traction
Review links
mcpservers / skillremote-browser
77fit

Cloud browser automation for sandboxed agents without local GUI access. Supports navigation, page inspection, interactions, JavaScript execution, and cookie management via 30+ CLI commands Includes cloud session management for running autonomous browser agents in parallel, with task monitoring and structured output options Provides local dev server tunnelin...

Coding & DevelopmentWorkflow AutomationmcphttpcliMCP readyHigh traction
Review links
mcpservers / skillcli-mastery
75fit

Interactive training for GitHub Copilot CLI with guided lessons, quizzes, scenarios, and reference materials. Covers slash commands, shortcuts, modes, agents, skills, MCP, and configuration through eight progressive modules Includes quiz mode (5+ questions per module), scenario challenges, and a comprehensive final exam with XP-based progression tracking Le...

Coding & DevelopmentWorkflow AutomationmcphttpcliMCP readyHigh traction
Review links
Review support

Review links

Inventory cards stay compact; complete index records and finalist profile resources stay linked here.

Open Current inventory
Supporting review linksLinks, review order, and page-specific notes remain available here.
Inventory review path
  1. 01Site contextShared review rules
  2. 02Agent inventoryBrowse the matching inventory
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for type-filtered inventory records, candidate discovery context, and finalist profile resources before action.

Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.