Workflow Architect

Workflow Architect

A meta-skill that helps you (and your agent) understand how you actually work. It discovers your workflow patterns through either active interrogation or passive observation, then generates a skills bundle — a set of loadable skills, each with trigger conditions, that encode your workflow so your agent can meet you where you are in every session.

What You Get

After running workflow-architect, you'll have a new bundle in your agent's skill directory containing:

• Umbrella SKILL.md — the entry point that makes the bundle auto-detectable

via trigger conditions in its description. Load it with skill_view(name='') or let the agent discover it automatically when you say something matching its triggers.

• Sub-skills — one per phase of your workflow, each with a description

that tells the agent when to load it (e.g., "load this when the user starts their morning triage routine" or "use this when the user shifts into deep work mode")

• A manifest — maps skill names to their trigger conditions, entry points,

and transition signals

• A decision map — Mermaid flowchart visualizing your workflow as the agent

sees it

• A kanban board (optional) — only included if your workflow follows a

predictable linear path where WIP limits and lane transitions add value

The umbrella and sub-skills are registered via skill_manage(action='create') so they appear in skills_list() and are immediately loadable in future sessions.

Two Modes

Workflow-architect adapts to how you want to engage with it.

Mode 1: Active Interrogation (One-Shot)

When to use: You have a few minutes to talk through your process. This is the most thorough mode — the agent asks guided questions, branches based on your answers, and builds a model of your workflow turn by turn.

How to invoke:

/workflow-architect

The agent will guide you through a conversation of about 8-15 questions. Answer naturally — the skill adapts its probes based on what you say.

Mode 2: Passive Observation

When to use: You're already in a session doing real work and don't want to stop and reflect. Let this mode watch what you actually do, then infer the workflow pattern from your actions.

How to invoke:

/workflow-architect passive

The agent loads the observer skill silently. It does nothing until you say one of the trigger phrases below, at which point it scans the current session's message history and reconstructs your workflow from what happened.

Trigger phrases (say any of these to activate observation analysis):

• "catalog my workflow"
• "what's my workflow"
• "analyze my process"
• "figure out what I do"
• "work it out from what I just did"

> Limitation: Observation mode works best after a session with at least > 20+ turns of substantive work. If the session context is too thin, the > observer will suggest switching to active interrogation mode instead.

Loading Protocol

1. Read this umbrella SKILL.md for context
2. If active: load skills/interviewer/SKILL.md
3. If passive: load skills/observer/SKILL.md
4. After convergence: load skills/bundle-builder/SKILL.md to synthesize

and write the output bundle. The bundle is written to ~/.hermes/skills/// — verify the umbrella loads with skill_view(name='') and at least one sub-skill loads with skill_view(name='-'). Tell the user where it landed, what skills it contains, and a trigger phrase they can use to enter the workflow.

What the Interview Builds

The interviewer (and observer, through inference) builds a structured model with these dimensions:

| Dimension | What it captures | |-----------|------------------| | Entry points | How your sessions typically start | | Phases | The distinct modes or stages in your workflow | | Branching signals | What makes you go left vs right at each fork | | Tool preferences | What you reach for in each phase | | Loop conditions | What keeps you in a mode vs what kicks you out | | Exit criteria | How you know a session is done | | Pain points | What feels frictionful or inefficient |

Environment

No environment variables required. State is stored via memory tool with the prefix workflow-architect:state: so it persists across turns during multi-turn interviews.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: magnus919
• Source: magnus919/agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.