Create An Agent
Create repository-local architecture agent definitions from a standard template. Use when the user asks to create, draft, scaffold, or add an agent under the agents folder.
Install
$ agentstack add skill-future-cx-ai-architecture-toolkit-create-an-agent ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-future-cx-ai-architecture-toolkit-create-an-agent) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Create An Agent
Quick Start
Create agent definitions under agents/ using the preset template in templates/agent-template.md.
Use the helper script when the requested agent has a clear name, purpose, and responsibilities:
python3 skills/create-an-agent/scripts/create-agent.py "Data Architect" \
--purpose "Support data architecture decisions across platforms, ownership, quality, and governance." \
--responsibility "Clarify data ownership, domains, and critical data flows." \
--responsibility "Assess data quality, privacy, retention, and lineage needs." \
--responsibility "Review analytics, integration, and operational data implications."This creates agents/data-architect-agent.md.
Workflow
- Determine the agent name and convert it to
-agent.md. - Capture a one-sentence purpose.
- Capture 3-7 concrete responsibilities.
- Generate the file under
agents/using the preset template. - Do not overwrite an existing agent file unless the user explicitly asks.
- Keep the style consistent with the existing files in
agents/. - Update the Agents table in the top-level
README.mdwhenever an agent is created or updated.
Output Standard
Each agent file must use this structure:
# Agent Name
## Purpose
One-sentence purpose.
## Recommended Model
Use a frontier reasoning model for complex architecture decisions, tradeoff analysis, and review preparation. Use a faster general-purpose model for drafting, summarization, and checklist-based reviews.
## Responsibilities
- Responsibility one.
- Responsibility two.
- Responsibility three.Template
Use templates/agent-template.md as the source template for generated agent files.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Future-CX
- Source: Future-CX/AI-Architecture-Toolkit
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.