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Enforce DPF-native agent skills for backlog management, architectural decisions, pull requests with DCO-signed commits, and isolated git worktrees with per-session MCP configs and docker-compose project names.
npx claudepluginhub opendigitalproductfactory/opendigitalproductfactory --plugin dpf-platformUse when working in the DPF codebase and facing an open question with 2+ architecturally-distinct options. Maps each option to the closed PRINCIPLE_DIMENSIONS registry, invokes the principle_decide MCP tool, surfaces the contribution ledger to the operator, and defers if a commandment conflict is flagged. Composes with superpowers:brainstorming as the predecessor step. The DPF gate that sits in front of any decision the kernel can weigh.
Use when working in the DPF codebase and tempted to claim a cause for an observed symptom. Before naming the cause, query the live DB / status fields / log streams / runtime state for evidence — don't read a log line and assume its suggested cause without verification. Composes with superpowers:systematic-debugging as the predecessor evidence-gathering step. Encodes the evidence-before-diagnosis kernel principle plus the structural-verification-is-not-functional commandment.
Use when working in the DPF codebase and a new piece of work needs to enter the backlog — feature gap, bug, tool gap, skill gap, doc gap, automated detection, user request. The DPF BI lifecycle gate sits in front of superpowers:writing-plans: a plan is for a BI, not for floating intent. This skill walks the substrate-verify → file → size → triage → link-epic flow with the live MCP backlog tools so the BI lands with the right shape and the right epic on the first try.
Use when ready to open a DPF pull request. Encodes the full DPF PR contract: branch from origin/main, sign every commit (-s) for DCO, push and let CI evidence accumulate, overlap-sweep against open PRs before push, open the PR only when ready to merge (not as a parking place). Composes with superpowers:finishing-a-development-branch as the successor: that skill decides the integration shape; this one operationalizes the DPF-specific PR mechanics.
Use when a DPF backlog item is triaged 'build' and ready to enter the Build Studio pipeline. Encodes the 'Build Studio for ALL development' standing rule: file BI → promote → approve Ideate → let BS run. Claude never writes feature code directly when BS is available. Has no upstream superpowers analog because BS is DPF's unique recursive build substrate.
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Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
The platform that builds itself. An open-source, AI-native operating platform for small businesses and product teams under human governance. A DPF install starts from a market archetype, gives the business a customer portal and internal workspace in its own vocabulary, and puts purposed AI coworkers at the center of daily work. Single-org install on your hardware; opt-in cross-install contribution through the Hive Mind.
For potential users and customers, start at opendigitalproductfactory.com — the canonical product tour with capability inventory, archetypes, coworker workforce, maturity surface, and standards conformance.
This README is for people working with the project source — contributors, integrators, and anyone running the install scripts or modifying the codebase.
DPF's user story is now archetype-led rather than module-led:
User-facing narrative lives in Market Archetypes And Coworkers, with proof personas under docs/personas/.
This repository hosts a draft standards family for trustworthy AI-agent operation and identity. DPF is the first implementation and conformance case.
Publication outputs are generated from the Markdown sources of truth:
pnpm docs:tak
node docs/architecture/generate-gaid-docx.mjs
node docs/architecture/generate-agent-standards-white-paper-docx.mjs
These commands assume a fresh machine with no DPF repo yet. If you've already cloned the repo (contributors), skip to Step 2 from inside the repo.
The Windows installer is a self-contained PowerShell script that clones the repo for you.
# Step 1 — download the installer (run from any directory)
iwr -UseBasicParsing https://raw.githubusercontent.com/OpenDigitalProductFactory/opendigitalproductfactory/main/install-dpf.ps1 -OutFile install-dpf.ps1
# Step 2 - run it (prompts for install directory; may suggest a non-C drive)
powershell -ExecutionPolicy Bypass -File install-dpf.ps1
The Unix installer sources helper libraries from inside the repo, so you must clone first.
# Step 1 — clone the repo and enter it
git clone https://github.com/OpenDigitalProductFactory/opendigitalproductfactory.git
cd opendigitalproductfactory
# Step 2 — run the installer
bash install-dpf.sh
git clone https://github.com/OpenDigitalProductFactory/opendigitalproductfactory.git
cd opendigitalproductfactory
bash install-dpf.sh
Inside the VM:
git clone https://github.com/OpenDigitalProductFactory/opendigitalproductfactory.git
cd opendigitalproductfactory
bash install-dpf.sh --headless --release
Terraform modules for the cloud-VM path live under infra/terraform/single-vm/{aws,gcp,azure}/.