Trials / Quickstart Trial safely Next best action: Run a sandbox trial

30-second install path

Start with a safe agent trial

A compact onboarding workspace for matching a job, reviewing a finalist package, and opening sandbox-safe commands only when the evidence path is clear.

Match a job brief Use terminal guide Trust Lab

01 MatchStart with the jobUse the brief matcher or playbook before choosing a candidate.02 InspectOpen resourcesOpen profile resources, setup guidance, trust review, and launch packet before any command.03 TrialRun sandbox evidenceUse mock data and record a trial before hire, promotion, or local credentials.

Team launch plan Frontend Launch Team

Fetch the team launch packet before running a bundle. Review every role packet, install manifest, security review, and preflight gate before creating sandbox trials.

Roles: 4
Average fit: 0
Open gates: 3

Fetch the team launch packet before running a bundle. Review every role packet, install manifest, security review, and preflight gate before creating sandbox trials.

Launch guide Run plan Compare view

Step 1 Describe the job

Use the job matcher to turn a natural-language brief into ranked playbooks and agent candidates.

Open page Step guide

Step 2 Pick install-ready candidates

Use install_readiness, trust, and trial_readiness sorts before opening a profile.

Open page Step guide

Step 3 Inspect a team packet

When the job needs multiple roles, fetch the launch packet before running the bundle.

Open page Step guide

Step 4 Open profile resources

Review the profile dossier, setup guidance, and MCP config when available.

Open page Step guide

Step 5 Run a sandbox trial

Create or inspect a trial before recommending hire, production install, or credential access.

Open page Step guide

Command snippets

Open a snippet only after choosing the matching review route.

Match a job brief

Command snippetUse after route selection

curl -s 'https://agentstaffer.com/job-matcher.json?brief=Need%20a%20Next.js%20accessibility%20reviewer' | jq

Check install guidance

Command snippetUse after route selection

curl -s 'https://agentstaffer.com/mcp/github-antonosika-gpt-engineer/install.json' | jq

Inspect a team launch packet

Command snippetUse after route selection

curl -s 'https://agentstaffer.com/playbooks/frontend-launch-team/launch-packet.json' | jq '.coverage, .preflightGates, .rolePackets[].candidate.installJson'

Read the evaluation rubric

Command snippetUse after route selection

curl -s 'https://agentstaffer.com/trust-lab/rubric.json' | jq

Install-ready candidates

These candidates expose stronger install signals. Check install guidance before running anything locally.

Browse all

github / framework AntonOsika/gpt-engineer

Role: Coding & Development
Trust: High traction
Install: MCP ready

Readiness snapshotSummary and safe first task.

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Safe first task

Run a small code review trial

Sandbox payloadCopy after review

{
  "mcpServers": {
    "antonosika-gpt-engineer": {
      "command": "REPLACE_WITH_AGENT_COMMAND",
      "args": [],
      "env": {
        "AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/github-antonosika-gpt-engineer"
      },
      "_agentstaffer": {
        "note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
        "sourceUrl": "https://github.com/AntonOsika/gpt-engineer"
      }
    }
  }
}

github / workflow langgenius/dify

Role: Coding & Development
Trust: High traction
Install: MCP ready

Readiness snapshotSummary and safe first task.

Production-ready platform for agentic workflow development.

Safe first task

Run a small code review trial

Sandbox payloadCopy after review

{
  "mcpServers": {
    "langgenius-dify": {
      "command": "REPLACE_WITH_AGENT_COMMAND",
      "args": [],
      "env": {
        "AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/github-langgenius-dify"
      },
      "_agentstaffer": {
        "note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
        "sourceUrl": "https://github.com/langgenius/dify"
      }
    }
  }
}

awesomeskill / skill tiptap

Role: Coding & Development
Trust: High traction
Install: MCP ready

Readiness snapshotSummary and safe first task.

Helps coding agents integrate and work with the Tiptap rich text editor. Use when building or modifying a rich text editor with Tiptap, installing Tiptap extensions, or implementing features like collaboration, comments, AI, or document conversion.

Safe first task

Run a small code review trial

Sandbox payloadCopy after review

{
  "mcpServers": {
    "awesomeskill-tiptap": {
      "command": "REPLACE_WITH_AGENT_COMMAND",
      "args": [],
      "env": {
        "AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/awesomeskill-tiptap"
      },
      "_agentstaffer": {
        "note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
        "sourceUrl": "https://awesomeskill.ai/skill/ueberdosis-tiptap-tiptap"
      }
    }
  }
}

Show 3 more install-ready candidatesAdditional candidates stay folded for scanning; quickstart.json and card review links keep the full setup path.

playbooks / skill agent-collaboration-network skill by openclaw/skills

Role: Coding & Development
Trust: Needs review
Install: MCP ready

Readiness snapshotSummary and safe first task.

This skill helps you join the Agent Collaboration Network, register agents, discover collaborators, route messages, and manage tasks for seamless collaboration.

Safe first task

Run a small code review trial

Sandbox payloadCopy after review

{
  "mcpServers": {
    "playbooks-agent-collaboration-network-skill-by-o": {
      "command": "REPLACE_WITH_AGENT_COMMAND",
      "args": [],
      "env": {
        "AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/playbooks-agent-collaboration-network-skill-by-openclaw-skills"
      },
      "_agentstaffer": {
        "note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
        "sourceUrl": "https://playbooks.com/skills/openclaw/skills/agent-collaboration-network"
      }
    }
  }
}

playbooks / skill ai-agents skill by vasilyu1983/ai-agents-public

Role: Coding & Development
Trust: Needs review
Install: MCP ready

Readiness snapshotSummary and safe first task.

Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)

Safe first task

Run a small code review trial

Sandbox payloadCopy after review

{
  "mcpServers": {
    "playbooks-ai-agents-skill-by-vasilyu1983-ai-agen": {
      "command": "REPLACE_WITH_AGENT_COMMAND",
      "args": [],
      "env": {
        "AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/playbooks-ai-agents-skill-by-vasilyu1983-ai-agents-public"
      },
      "_agentstaffer": {
        "note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
        "sourceUrl": "https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-agents"
      }
    }
  }
}

playbooks / skill aws-agentcore skill by hoodini/ai-agents-skills

Role: Coding & Development
Trust: Needs review
Install: MCP ready

Readiness snapshotSummary and safe first task.

This skill helps you design and deploy AI agents on AWS Bedrock AgentCore, enabling tool orchestration, memory, and secure identity integration.

Safe first task

Run a small code review trial

Sandbox payloadCopy after review

{
  "mcpServers": {
    "playbooks-aws-agentcore-skill-by-hoodini-ai-agen": {
      "command": "REPLACE_WITH_AGENT_COMMAND",
      "args": [],
      "env": {
        "AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/playbooks-aws-agentcore-skill-by-hoodini-ai-agents-skills"
      },
      "_agentstaffer": {
        "note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
        "sourceUrl": "https://playbooks.com/skills/hoodini/ai-agents-skills/aws-agentcore"
      }
    }
  }
}

Client recipes

Short guidance for developer tools reading AgentStaffer review data.

OpenAI Codex CLI

Open install guidance, inspect quick install options, then run only inside a sandbox workspace.

Install guidance Trial queue

Claude Desktop

Use the linked MCP config when present; otherwise confirm the documented MCP command before editing local config.

MCP config MCP config

Cursor / VS Code

Use install guidance as the package card, add MCP config only after source review, then test on a small repository or mock task.

Agent inventory Trust rubric

Workflow builders

Start with playbooks or teams, copy the trial plan, and connect agents to mock inputs before any production automation.

playbooks frontend launch team launch packet data Team catalog Trial queue

Review support

Review links

Onboarding stays short; complete review records and finalist profile resources stay linked here.

Open Quickstart guide

Supporting review linksLinks, review order, and page-specific notes remain available here.

Quickstart guide Workflow guide Launch guide Run plan Compare view Agent inventory Resource map Site context Sitemap Profile resources

Quickstart review path

01Site contextShared review rules
02Quickstart guideOpen the focused review record
03Profile pageOpen the candidate page
04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for onboarding steps, sandbox-safe setup 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.