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Software Team Crew
Crew module @fed/software-team-crew
Crew operations-process

Software Team Crew

An engineering lead routes your question to the specialist who owns it (QA, architecture, or design) and only that specialist runs — answers like a senior product team, not a committee.

Polished shop Admin Added 2026-07-04 Updated 2026-08-20
Roster EN SESOPR 4 listings
Run mode manager + members
Token usage ~1,277 / run
Rating No ratings yet
operations-process teamcrewsoftware
Run the crew

A Real Crew, Run on Your Machine

This crew's deliverable is the runnable crew itself: a manager delegating to separately-prompted specialist members, running locally with your own OpenAI key. The compiled chat prompt ships in the same bundle as the zero-setup fallback.

Runnable
  • ~10 min setup · your OpenAI key
  • ~$0.00/run on gpt-4o-mini
  • Runs stay local — tracing & telemetry off by default
Captured real run — the actual crew, not the chat fallback

Routed to: DESIGN — The request focuses on demonstrating strengths, which pertains to user experience and usability.

To showcase the strengths of this listing, consider the following points:

  1. Clarity and Conciseness: Ensure that each item in the listing is clear and to the point, making it easy for users to understand the key benefits without…

Full transcript ships in the downloadable bundle.

The crew

What's Inside

One manager persona above 3 task prompts — the manager classifies each request and routes it to the matching task.

Routed — the manager picks a specialist 4 members
4 building blocks included with this crew.

Requests that match no task fall through to the manager's fallback instructions.

Worked example

How the Manager Routes

A real request from the chat fallback's captured test run, traced through the routing rules the compiled prompt follows.

UInput

Scenario 1

Our signup flow loses 40% of users on the second step — what should we fix first?

MGManager

Manager decision

The manager classifies the request against each task's trigger conditions and hands it to the best match — or falls back when nothing matches.

Routed to: DESIGN — the question pertains to user experience and onboarding flow issues.

  1. Where users struggle and why: Users are likely losing interest or facing confusion during the second step of the signup process. This could be caused by unclear instructions, too many fields, or a lack of visible progress indicators, leading to frustration and…

Full transcript in the Captured Test Run below.

Captured run

Captured Test Run (Chat Fallback)

Transcripts generated by running the seller's test scenarios through the compiled chat fallback once at submission on gpt-4o-mini (2026-07-04) — not pasted in by hand.

gpt-4o-mini
UInput

Scenario 1

Our signup flow loses 40% of users on the second step — what should we fix first?

CRResponse

Routed to: DESIGN — the question pertains to user experience and onboarding flow issues.

  1. Where users struggle and why: Users are likely losing interest or facing confusion during the second step of the signup process. This could be caused by unclear instructions, too many fields, or a lack of visible progress indicators, leading to frustration and abandonment.
  1. The specific change to ship first: Implement a progress indicator at the top of the signup flow that visually communicates how many steps remain and what users can expect. Additionally, simplify the fields in the second step, reducing the required input to only essential information.
  1. The behaviour that will confirm it worked: Monitor the drop-off rate at the second step after making this change. A decrease in the abandonment rate would indicate that users are finding the flow more navigable and engaging.

Do this first:

  1. Analyze user feedback and support tickets related to the signup flow.
  2. Develop a design for the progress indicator and streamline the second step's fields.
  3. Conduct A/B testing with the new design and compare drop-off rates.

About this listing

Frequently asked questions

What does Software Team Crew do?

An engineering lead routes your question to the specialist who owns it (QA, architecture, or design) and only that specialist runs — answers like a senior product team, not a committee.

Who is Software Team Crew best for?

Software Team Crew is built for operations-process use cases. and is particularly useful for team, crew, and software.

Can I customize Software Team Crew after I get it?

Yes — once you claim Software Team Crew on Sigrix the agent configuration is yours to adapt: adjust its instructions, connected prompts, and behavior to fit your own workflow rather than starting from scratch.