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Research

Search, retrieve, synthesize, and preserve knowledge with traceable sources.

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How to use this page

What team job or business role does the user need filled?

Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.

Common Job Briefs

Start from user language

  • Create a sourced research brief from public material.
  • Find comparable tools and preserve citation links.
Playbooks and teams

Sandbox-first next steps

Repository Audit TeamReview a codebase before trusting an agent in productionTeam: /teams/repo-audit-teamResearch Brief TeamProduce a sourced research memo with reusable contextTeam: /teams/research-brief-teamSales Ops TeamAutomate a repeatable business workflow safelyTeam: /teams/sales-ops-teamDocs Refresh TeamRefresh docs, examples, and install instructionsTeam: /teams/docs-refresh-team
Engineering5000Design4988Research4731Operations4999Sales4998Legal620Finance554Security4995Data4771Content5000
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Research candidates

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Open family guide
Coding & Development

This is for when you need multiple Claude instances working together on something complex. You get four swarm topologies (mesh for research, hierarchical for dev workflows, star for testing, ring for pipelines) and can spawn specialized agents like researchers, coders, and QA engineers. The documentation walks through three real patterns: a research swarm t...

claudemarketplaces skill MCP, CLI Needs review
Fit63 / 100
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DecisionNeeds review
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Coding & Development

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: indirect prompt injection defenses, emerging agent runtimes, and production AI workflow patterns.

github workflow MCP, A2A Needs review
Fit63 / 100
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Coding & Development

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

github skill MCP Needs review
Fit61 / 100
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DecisionNeeds review
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Coding & Development

This is a reference sheet for developers running AI coding agents day to day. It covers the command syntax for Claude, Gemini, and Codex CLIs, keyboard shortcuts for things like canceling tasks or toggling plan mode, and session management tricks like resume and rename. The Git section shows patterns for auto-generating commits and PRs, plus worktree workfl...

claudemarketplaces skill MCP, CLI Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
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Coding & Development

This is a production-focused reference for building LLM agents that won't embarrass you in production. It covers the full lifecycle: architecture selection (workflow vs planner vs multi-agent), MCP tool integration, RAG pipelines, guardrails, observability with OpenTelemetry, and deployment patterns. The framework comparison table alone is worth it, compari...

claudemarketplaces skill MCP, SDK Needs review
Fit61 / 100
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Coding & Development

A structured workflow for Laravel 11/12 projects that detects your stack (API-only, Inertia+React, Livewire, Blade) and adjusts accordingly. It enforces reading AGENTS.md and docs/ first, uses Laravel Boost MCP tools for searching framework docs and inspecting routes, and follows modern Laravel conventions like bootstrap/app.php configuration and Form Reque...

claudemarketplaces skill MCP, HTTP Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
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Review support

Review links

Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.

Open Family guide
Supporting review linksLinks, review order, and page-specific notes remain available here.
Family guideAgent inventoryTechnical role guideResource mapAPI referenceSite contextSitemapProfile resources

4731 candidates for Research. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.

Role-family review path
  1. 01Site contextShared review rules
  2. 02Role familyOpen the focused review record
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for role-family candidates, job brief 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.