davidmm07

Pressroom — AI skill for Claude Code

AI community

Hire, run, measure and retire a crew of AI agents for a custom print shop.

How to install Pressroom

This entry records only its repository, not the path inside it, so there is no exact command to give. Open davidmm07/pressroom and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Pressroom does

Hire, run, measure and retire a crew of AI agents for a custom print shop. Go, GraphQL, PostgreSQL and TypeScript on Google Cloud, with Claude, OpenAI, Grok and open-weights models behind one interface, human approval for sensitive actions, scorecards in dollars and model experiments on live traffic

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README

Pressroom

**Hire, run, measure and retire a crew of AI agents for a custom print shop.**

Pressroom is the platform an AI operations team would use at a company that prints custom stickers, labels, magnets, buttons, packaging and t-shirts, with free online proofs, image tools (background removal, upscaling, vectorization) and free worldwide shipping. It runs autonomous agents that do real work (pre-flighting artwork, triaging support tickets, chasing stalled parcels, nudging reorders), connects them to internal and third-party tools, measures whether each one is worth its cost, and removes the ones that do not deliver.

Built with **Go, TypeScript, GraphQL, PostgreSQL and Google Cloud**, and model agnostic: **Claude, OpenAI, Grok and open-weights models** plug in behind one interface, and new releases are adopted through champion/challenger experiments on live traffic.

flowchart LR
  SF[Storefront] -- artwork.uploaded / ticket.created --> PS[(Pub/Sub)]
  PS -- push, OIDC --> W[Worker]
  W -- agent loop --> M{{Claude, GPT, Grok, open weights}}
  W -- tool calls --> T[Order DB, image studio, carrier, helpdesk, payments, Slack]
  W <--> DB[(PostgreSQL)]
  UI[Dashboard
React + TypeScript] -- GraphQL --> API[API] API <--> DB CS[Cloud Scheduler] -- daily evaluation --> W

What the role asks for, and where it lives

The job Pressroom
Build agents that run on their own and do meaningful work The executor runs a model-and-tools loop with budgets, checkpoints every step, resumes after crashes and pauses for a human before refunds or customer emails. Runs start from Pub/Sub events, the API or the CLI.
Strong with Claude, OpenAI, Grok and open source Model adapters: Claude through the official Anthropic Go SDK (adaptive thinking, prompt caching, server-side refusal fallbacks), and one Chat Completions adapter for OpenAI, xAI Grok and self-hosted vLLM/Ollama.
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