~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
4677total
4677filtered
56page
390pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
playbooks / skill
azure-storage-file-share-py skill by sickn33/antigravity-awesome-skills
This skill helps you manage Azure Storage File Share operations in Python, enabling efficient creation, listing, and file handling in the cloud.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-storage-file-share-ts skill by sickn33/antigravity-awesome-skills
This skill helps you manage Azure File Share operations in TypeScript by providing ready patterns for shares, directories, and file handling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-storage-queue-py skill by sickn33/antigravity-awesome-skills
This skill helps you manage Azure Queue Storage in Python, enabling reliable messaging, asynchronous processing, and scalable task distribution.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-storage-queue-ts skill by sickn33/antigravity-awesome-skills
This skill helps you manage Azure Queue Storage in TypeScript by performing send, receive, peek, and delete operations with clear guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-usage skill by fcakyon/claude-codex-settings
This skill helps you query and manage Azure resources such as storage, Key Vault, Cosmos DB, and AKS using MCP best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backblaze-coder skill by majesticlabs-dev/majestic-marketplace
This skill guides Backblaze B2 Cloud Storage integration with OpenTofu/Terraform and B2 CLI. Use when managing B2 buckets, application keys, file uploads, lifecycle rules, or S3-compatible storage.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backboard skill by openclaw/skills
This skill integrates a local Backboard backend to manage assistants, threads, memories, and document RAG for contextual AI workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend skill by michavie/mx-ai-skills
This skill helps you manage MultiversX backend operations by handling transactions, data ingestion, and API integration across Go, Python, and TypeScript.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Backend skills for AI agents
Browse Backend skills for Claude Code, Cursor, Codex and more AI coding agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend_inferencer skill by transilienceai/communitytools
This skill analyzes HTTP signals, DNS, and repository data to infer backend technologies, improving vulnerability assessment and tooling alignment.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend-architect skill by xfstudio/skills
This skill helps design scalable, resilient backend systems and APIs by defining boundaries, contracts, and observability from day one.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
BambooAI
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, 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.