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Research

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

Total4731
Matching4731
Trusted177
Install Ready4731
Research & KnowledgeData & Integrations
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

Showing 12 of 4731. Adjust filters to narrow the review list without losing job context.

Open family guide
Coding & Development

Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini AP...

playbooks skill MCP, HTTP, CLI Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
Review links
Profile record Trust review Setup guide
Coding & Development

Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.

playbooks skill MCP, HTTP, CLI Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
Review links
Profile record Trust review Setup guide
Coding & Development

Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.

playbooks skill MCP, HTTP, CLI Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
Review links
Profile record Trust review Setup guide
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.