agentconcierge

Find and recommend AI agents for any workflow using AgentConcierge. Use when someone asks which AI tools or agents would help them for their role, task, or p...

Security Scan

The skill's declared purpose (recommending AI agents) matches its instructions and requirements; it simply issues a curl POST to agentconcierge.io and does not request credentials or other unrelated access.

Purpose & Capability

Name/description promise (find and recommend AI agents) aligns with the runtime instructions: collect role/painPoint/etc. and POST them to https://agentconcierge.io/api/recommend using curl. Required binary (curl) and the single brew install are proportional and expected.

Instruction Scope

SKILL.md only instructs the agent to collect a small set of user-provided fields (role, painPoint, optionally tools/budget/teamSize) and send them to the stated third-party API. It does not instruct reading local files, environment variables, or other system state. Note: this does transmit user-supplied conversational data to an external service (agentconcierge.io), which is expected behavior but worth considering for sensitive inputs.

Install Mechanism

Install spec is a single brew entry (curl). This is low-risk and proportionate; no downloads from untrusted URLs or archive extraction are present. The skill is instruction-only (no code written to disk by the skill itself).

Credentials

No environment variables, credentials, or config paths are requested. The skill does not require secrets or cloud credentials, which is appropriate for a public recommendation API.

Persistence & Privilege

always is false and the skill is user-invocable; it does not request permanent presence or modify other skills. No elevated privileges or cross-skill configuration changes are requested.

Assessment

This skill appears coherent and low-risk, but note it sends whatever you provide (role, pain point, tools, budget) to https://agentconcierge.io. Do not include sensitive or proprietary information (passwords, internal secrets, private customer data, or detailed confidential business data) in queries. The registry metadata lists no separate homepage even though files reference agentconcierge.io — if you're concerned, verify the service/owner (agentconcierge.io) and its privacy policy before sending real data. If you want to test first, try a few non-sensitive sample queries to confirm responses and rate-limit behavior (10 req / 60s) before using it with real workflows.

Discover the best AI agents for any workflow by querying AgentConcierge — a catalog of 9,800+ agents across OpenAI, Anthropic, n8n, HuggingFace, Zapier, and more. Returns 5 personalized recommendations ranked by match score.

When to Use

• "What AI agents should I use for [task]?"
• "Find me the best tools for [role] who needs help with [pain point]"
• "I'm a [job title] — what agents would save me the most time?"
• "Recommend AI tools with a [$X] budget using [tools]"
• "What's the best agent for email, content, data analysis, scheduling, etc.?"

When NOT to Use

• You already know the specific agent name and just want info (search the web instead)
• Non-AI tools or general software outside the AI agent space
• Requests unrelated to discovering or comparing AI agents

Required Context

Before calling the API, collect from the conversation:

Field	Required	Example
role	Yes	"Sales / Business Development"
painPoint	Yes	"Cold outreach and follow-up cadences"
tools	No	"HubSpot, Slack, Google Workspace"
budget	No	"$50" or "$200" or "$500+"
teamSize	No	"solo" or "small team"

If role or painPoint are missing, ask one concise follow-up before calling the API.

API Call

curl -s -X POST https://agentconcierge.io/api/recommend \
  -H "Content-Type: application/json" \
  -d '{
    "role": "Sales / Business Development",
    "painPoint": "Cold outreach and follow-up cadences",
    "tools": "HubSpot, Slack",
    "budget": "$50",
    "teamSize": "small team"
  }'

Response shape:

{
  "recommendations": [
    {
      "name": "Instantly AI",
      "tagline": "Automates cold email sequences at scale",
      "category": "automation",
      "pricingModel": "subscription",
      "pricePerMonth": 37,
      "tags": ["email", "outreach", "sales"],
      "url": "https://instantly.ai",
      "matchScore": 94,
      "matchReasons": [
        "Built for SDRs doing high-volume cold outreach",
        "Native HubSpot integration to sync contacts automatically"
      ]
    }
  ]
}

Presenting Results

Format each recommendation clearly:

🤖 Found 5 AI agents matched to your profile:

1. **Instantly AI** — 94% match
   Automates cold email sequences and follow-ups at scale.
   ✓ Built for SDRs doing high-volume cold outreach
   ✓ Native HubSpot integration to sync contacts automatically
   💰 $37/mo — https://instantly.ai

2. **Apollo.io** — 91% match
   ...

After presenting, offer:

"Want to save these to your stack at agentconcierge.io/dashboard?"

Error Handling

Status	Action
429	Tell user the API is rate-limited; retry in 60 seconds
400	Missing role or painPoint — ask user for the missing field
500/503	Suggest visiting https://agentconcierge.io/search directly

Notes

• Rate limit: 10 requests per 60 seconds per IP
• Budget $0 or "free only" returns only free/freemium agents
• Same role + different pain point = different agent set
• Full catalog browsing: https://agentconcierge.io/search
• See references/api-schema.md for complete request/response schema