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For Manufacturing roles

This guide covers the 5 manufacturing-specific archetypes Claresia ships in the cc-057 expansion (Dainese-class customers). Each gets a tailored Cowork with skills tuned for the physical / regulated / multi-site reality of mid-cap B2B2C manufacturers.

ArchetypeCoworkTop-3 daily skills
Firmware Engineerfirmware-engineer.dainese.v1gatespic.incident-postmortem, gatespic.firmware-changelog-qa, gatespic.security-advisory-triage
3D Product Manager3d-product-manager.dainese.v1steve.prd-review, zottos.brand-voice-checker, gatespic.change-risk-review
Production Plannerproduction-planner.dainese.v1ledger.variance-analysis, ledger.month-end-checklist, ledger.vendor-spend-review
Talent Maker (HR)talent-maker.dainese.v1boss.one-on-one-prep, boss.calibration-pack, boss.team-weekly-digest
Quality Engineerquality-engineer.dainese.v1gatespic.incident-postmortem, gatespic.firmware-changelog-qa, clawshield.dpia

A typical Tuesday for a Firmware Engineer:

You diagnose an issue from EU customer support tickets that escalated overnight (12 vehicles in Germany reporting BMS write failures). You replicate, find a v8 BMS off-by-one, ship a hotfix.

You run:

@claresia.gatespic.incident-postmortem INC-2026-04-1873

The model assembles the timeline from your commit log + the SRE telemetry + your support ticket commentary. You review, edit, capture as a decision.

You’re shipping a firmware changelog for the v8.4 release. You type:

@claresia.gatespic.firmware-changelog-qa

Parameters:

  • Changelog draft: (paste)
  • JIRA filter: project=FIRM and fix-version=v8.4

Returns:

  • JIRA tickets in v8.4 that aren’t mentioned in your changelog (3 missed)
  • Tickets mentioned in changelog without a closed JIRA (0 — clean)
  • Clarity issues (1 ambiguous wording)
  • Suggested ordering by user-facing impact

You add the missed tickets, re-publish.

You’re now at L1 65% — three more weeks of the Tuesday + Friday cadence puts you at L1 100%.

You’re a 3D Product Manager — owning the digital twin of a new product line through CAD review, supplier qualification, brand-voice gate for product naming, and the change-risk gate for any production-affecting decision.

You receive a PRD from a downstream team. You run:

@claresia.steve.prd-review

The model checks structural soundness, feasibility, and dependency mapping.

A naming proposal lands. You run:

@claresia.zottos.brand-voice-checker

Parameters:

  • Content: Smart Lock SC1 — Adaptive
  • Channel: product naming

Returns brand-voice match score + suggestions if needed.

The naming is locked. You’re about to commit a CAD change that affects manufacturing tooling. You run:

@claresia.gatespic.change-risk-review

Parameters:

  • Change: CAD revision 8.4 — adds 3 mounting points to spine plate
  • Affected lines: tooling A4, tooling B2

Returns risk score + suggested rollout sequence + downstream-team checklist.

You manage the planning cadence across factories (Italy, Romania, Tunisia, Vietnam — Dainese-style). Your week is a series of variance reviews, month-end checks, and vendor spend reconciliations.

@claresia.ledger.variance-analysis

You review variance vs plan for the previous week’s production output, drill into the top 3 drivers, message the affected line managers.

@claresia.ledger.month-end-checklist

Day-by-day list tailored to your role: inventory adjustments, tooling write-offs, vendor invoices, capacity review.

@claresia.ledger.vendor-spend-review

Reviews your top 25 vendors by spend, flags variances, suggests RFQ candidates.

You’re an HR business partner / People Ops specialist. Your week is individual coaching prep, calibration data assembly, and team-level health readouts.

@claresia.boss.one-on-one-prep

Parameters:

  • Direct report: Marco Mazzolin
  • Period: last 2 weeks

Returns a structured agenda with: recent wins, recent ships, 1 open question, suggested follow-up topic.

@claresia.boss.calibration-pack

Returns a pre-cycle pack: distribution of recent ratings, outliers worth discussing, fairness check across protected groups, suggested talking points.

@claresia.boss.team-weekly-digest

Returns a team-level digest of the week’s ships, blockers, and asks. You forward to the team’s manager + skip-level.

You own quality across hardware + firmware + supplier. Your week is incident diagnosis, changelog QA, and DPIA / regulatory write-ups.

@claresia.gatespic.incident-postmortem

You assemble the full lineage: complaint → root cause → remediation.

@claresia.gatespic.firmware-changelog-qa

Same as Firmware Engineer’s flow.

@claresia.clawshield.dpia

Parameters:

  • Processing activity: New BMS telemetry write-back to cloud (v8.4)
  • Data subjects: End users (vehicle owners)
  • Categories: Vehicle ID, location (city level), battery state of health

Returns a DPIA structured to your tenant’s template. You forward to your Privacy team for sign-off.

Maturity progression for manufacturing roles

Section titled “Maturity progression for manufacturing roles”

L0 → L1 in ~4–6 weeks (slightly slower than office archetypes due to physical gating between digital actions).

L2 markers:

  • Author at least one custom skill specific to your factory or product
  • Use 5+ skills in a typical week
  • Pass the Agent Operator Certification (Forge)

Your work has unique characteristics:

  • Multi-site coordination (factories in different countries, different time zones)
  • Physical constraints (you can’t ship a hotfix to a stamping press as easily as to a cloud service)
  • Regulatory weight (CE, ECE, ISO, BSI — depending on your products)
  • Long product lifecycles (a part designed in 2026 may still be manufactured in 2032)

The cc-057 manufacturing Coworks ship cadence calendars + artifact templates tuned to these constraints.

  • @claresia.forge.coaching-session
  • Your CSM channel
  • This docs site
  • Your tenant’s “Real Incumbents” mapping (per cc-057 standing rule) — your Cowork is named after archetypes drawn from your actual roster