What is ai-workflow-architect?

A guide for turning a manual business process into a practical workflow supported by AI, automation, and human reviews. It maps triggers, inputs, decisions, tools, outputs, and failure points.

Use it to design workflows, agents, standard operating procedures, approval loops, implementation plans, and reviews of existing business processes.

It helps clarify which steps are safe to automate and which need human judgment. This reduces vague automation plans and makes responsibilities and approval points explicit.

ai-workflow-architect — Skill for Claude Code by jpeslar1

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add jpeslar1/john-peslar-ai-skills --skill ai-workflow-architect

Clone the repo

git clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-skills

Made for: Claude Code.

Or install ai-automation, the plugin that ships this one along with the rest of its 2 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/ai-workflow-architect/github.svg)](https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/ai-workflow-architect)

Your own site

<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/ai-workflow-architect"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/ai-workflow-architect/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/ai-workflow-architect"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/ai-workflow-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 602 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00111	$0.00602
Opus 5.5	$0.00044	$0.00241
Sonnet 5.5	$0.00022	$0.00120
Haiku 4.5	$0.00011	$0.00060

Measured 2mo ago against content hash e0fbd10a101c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-workflow-architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ai-workflow-architect/SKILL.md · 89 lines

What it actually says

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.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/workflow-map.md 1.2 KB

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 89 lines · 111 tokens per session scan A e0fbd10a101c

Subscribe to this mod's changes

ai-workflow-architect is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 111 tokens to every session and 602 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agents Planning

ai-workflow-architect next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ai-workflow-architectjpeslar1/john-peslar-ai-skills	Skill	12	18d ago	MIT	A	111	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
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next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code