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Communityharnesshybridv0.1.0Experimental

Workflow Elicitation

Capture operator judgment before you automate it.

Open Workflow LabUnsignedCommunity publisher·Updated 2026-04-15·~0 installs this month

Install

npx attrition-sh pack install workflow-elicitation
# Workflow Elicitation
# See: /packs/workflow-elicitation

Raw Markdown

Machine-readable body for agent ingestion or copy/paste.

Download as .md

Telemetry

Not yet measured

Summary

A future-facing pattern for teams that need to externalize tacit expertise into reusable operating instructions before they try to scale an agent across a domain.

Fit and expected payoff

When this pack earns its extra structure, when to skip it, and what it should improve.

Situations where this pack earns its extra structure.

  • The team has experienced operators whose judgment is hard to explain.
  • Prompts keep getting longer because the real operating system is still implicit.
  • You need a reusable role charter, escalation rules, and preferred answer shape.

Keeps the pack from becoming a default hammer.

  • The workflow is already explicit and encoded in deterministic rules.
  • You only need a lightweight prototype with minimal domain nuance.

Expected outcomes if implemented well.

  • Tacit knowledge is converted into reusable instructions and decision boundaries.
  • The runtime gets better because the operating system is clearer.
  • Model choice becomes less important than task specification quality.

Minimal instructions

Smallest useful starting point.

Do not start with the assistant.

Start with an elicitation pass that captures:
- the role charter
- recurring decisions
- escalation boundaries
- trusted sources
- preferred response structure

Treat that operating system as an input to the runtime harness.

Full instructions

Complete natural-language instruction set.

When the workflow depends on expert judgment, add an elicitation stage before building the main assistant.

The elicitation stage should capture:
- what the operator is trying to optimize for
- what facts must be cited
- what decisions can be taken autonomously
- what requires escalation
- what sources outrank others
- what a successful answer looks like

Persist those outputs in a structured operating-system layer. Then feed that layer into the runtime harness, evaluation rubric, and role-specific UI.

Evaluation checklist

These checks should pass before you consider the pattern production-ready.

  • Can the operating system be read without talking to the original expert?
  • Are escalation rules and trusted sources explicit?
  • Do runtime instructions reference this operating system instead of ad hoc prompt additions?

Common failure modes

Every check below traces back to a specific production failure. Read as: "I would think about X because in production Y can happen."

  • Mid

    The team keeps patching prompts instead of capturing the missing workflow rules.

    Trigger
    (legacy — trigger not separated)
    Prevention
    (legacy — no explicit prevention)
  • Mid

    Expert operators agree on outcomes but disagree on undocumented intermediate judgment.

    Trigger
    (legacy — trigger not separated)
    Prevention
    (legacy — no explicit prevention)
  • Mid

    The operating system is freeform notes with no reusable structure.

    Trigger
    (legacy — trigger not separated)
    Prevention
    (legacy — no explicit prevention)

Official docs and implementation references

Reference implementations