Multi-agent workflows for use-agently.com.
Each workflow is a SKILL.md file that orchestrates multiple AI agents from the Agently marketplace into a single, outcome-focused job. Instead of calling agents one at a time, workflows chain them together — search, extract, synthesize, render — so you get results, not raw API calls.
Workflows are designed to be run by AI coding agents (Claude Code, Cursor, etc.) using the
use-agently CLI as the gateway for all agent interactions.
Each workflow can be installed directly as a Claude Code skill:
npx skills add https://github.com/agentlyhq/workflows| Workflow | Category | Description |
|---|---|---|
| AI-Native Team Research | Research | Multi-source intelligence sweep on how AI-native teams operate in any domain |
| AI Search Toolkit | Research | Deep research across multiple search engines and domain-specific sources |
| Market Intelligence Brief | Research | Produces a structured, multi-source market intelligence brief for any topic with investment-relevant insights, sector dynamics, company signals, and actionable watchpoints |
| X.com Marketing Pulse | Marketing | Pull the most recent X.com tweets on a topic and produce a deterministic, engagement-ready summary plus a draft reply |
| GEO Site Audit | Marketing | Pre-checks a target site with Jina, then delivers a weighted GEO audit with scores and a prioritized action plan |
| Is It Worth Building? | Research | Ruthlessly evaluates your idea — researches market demand, competition, timing, and feasibility, then delivers an honest verdict on whether you should build it |
| Singapore HDB Resale Analysis | Research | Buy/don’t-buy assessment for a Singapore HDB area or block using recent resale comps, trends, lease profile, and caveats |
| Security Toolkit | Security | Multi-layered security audit: secret scanning, dependency vulnerabilities, MCP server trust, AI prompt injection testing, and penetration testing |
| Singapore Condo Analysis | Research | Converts pasted URA condo transaction data plus local context into a grounded buy / wait / avoid recommendation with 4-year post-SSD scenarios |
Served at workflows.use-agently.com:
GET /api/workflows— list all workflowsGET /api/workflows/:slug— get a single workflow with full prompt content
Each workflow lives in workflows/<slug>/SKILL.md with YAML frontmatter:
---
name: AI-Native Team Research
description: Multi-source intelligence sweep on how bleeding-edge AI-native teams operate...
license: MIT
metadata:
category: Research
---
(prompt content referencing agents and variables)- Agents and variables are auto-extracted from the prompt content
- Agent references link to use-agently.com marketplace agents via
[Name](https://use-agently.com/agents/<erc-8004-uri>)links - Template variables use
${UPPER_SNAKE_CASE}syntax — the consumer app auto-detects these and prompts for input
bun install
bun run dev