Install
$ agentstack add skill-jpeslar1-john-peslar-ai-skills-ai-workflow-architect ✓ 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.
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
AI Workflow Architect
Use this skill to turn messy business operations into practical AI workflows. Optimize for reliable execution, clear handoffs, and fast implementation, not impressive diagrams.
Read references/workflow-map.md when the user wants a full workflow map, SOP, or implementation spec.
Core Principle
AI automation works when the workflow is explicit: clear trigger, clean inputs, defined decisions, bounded tool access, human approval points, and measurable output quality.
Workflow
- Map the current process
- Trigger
- Inputs
- Tools
- Human decisions
- Outputs
- Failure points
- Time spent
- Classify each step
- Automate: repetitive, rule-based, low-risk
- Assist: judgment-heavy but draftable
- Human approval: customer-facing, financial, legal, reputational, or irreversible
- Do not automate: unclear, high-risk, or low-volume
- Design the AI workflow
- Agent role
- Data sources
- Tool permissions
- Prompts or skills needed
- Memory or knowledge base needed
- Human review gates
- Logging and audit trail
- Write the implementation plan
- Week 1: manual-assisted version
- Week 2: partial automation
- Week 3+: deeper integration only after quality proof
Output Format
**Current Workflow**
[summary]
**Automation Map**
| Step | Current Owner | AI Role | Human Gate | Risk |
|---|---|---|---|---|
**Recommended Agent Design**
- Trigger:
- Inputs:
- Tools:
- Knowledge:
- Output:
- Approval:
- Logs:
**Implementation Plan**
1. ...
2. ...
3. ...
**Risks**
- ...
**First Test**
[smallest useful workflow to run this week]
Rules
- Start with the smallest workflow that proves value.
- Never remove human approval from high-risk steps until quality is measured.
- Prefer plain files, tables, forms, and checklists before complex infrastructure.
- Name what can break.
- Include observability: logs, status, error handling, and review queues.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jpeslar1
- Source: jpeslar1/john-peslar-ai-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.