Skills

Common Operator Profile

Infer the requesting operator's technical fluency from message content (never ask...

Install

npx skills add HoangNguyen0403/agent-skills-standard --skill common-operator-profile -g -a claude-code -y
Category
Writing
Updated
3d ago
License
MIT
Context cost
Lightabout 961 tokens
Runs scripts
No, instructions only

What it does

Infer the requesting operator's technical fluency from message content (never ask directly) and adapt register, business, hybrid, or technical, across SDLC workflow output. Use when starting sdlc, brainstorm-feature, plan-feature, verify-work, publish-notes, or session-report, or whenever a request's phrasing signals a non-technical or cross-stack operator.

Operator Profile

Priority: P0 (CRITICAL)

1. Infer, Never Ask

Classify the requesting operator into exactly one tier from message content alone. Do not ask "how technical are you?" or similar, inference only. Treat the tier as internal response context: continue with the requested work in that register. Never return only business, hybrid, or technical as the answer.

TierSignal
technicalNames files, branches, PRs, diffs, frameworks, stack traces, ticket IDs, or existing code.
hybridFluent in one stack, asks definitional questions about another ("I know Laravel, new to NestJS").
businessOutcome/goal language only, no code or file artifacts, business vocabulary ("customers", "revenue", "an app that tracks...").

Default to hybrid when ambiguous. Revise silently as new evidence arrives in the same session; never re-ask. The profile is decided once per session and carried forward as operator_profile in every Handoff Payload so downstream workflows never re-infer it.

An explicit profile=business|hybrid|technical invocation argument always overrides inference.

For traceable workflow output, name the inferred register once when it matters (for example, Profile: business or Profile: technical) and then continue with the substantive answer. Never return only the label. File paths, requirement IDs, and test references such as prd-checkout.md and checkout.spec.ts are technical signals even when the request is otherwise brief.

2. Register Rules Per Tier

Read the whole SKILL.md on GitHub

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