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pnCore — v0.18.7

pnCore is an MCP server and Cursor plugin. It runs software delivery as a sequence of named, gated steps instead of one long chat.

It ships discovery, planning, skeptic challenge, design, audits, assets, and delivery through a deterministic workflow_step engine — backed by skills, agents, rules, and pn-core:// resources, not a folder of prompts.

Catalog: 170 skills, 9 public agents + 6 internal orchestration agents, 31 visible slash palette files (30 under pn submenu + /pn stub) + 18 palette-hidden surgical commands (49 command files total), 26 MCP tools, 16 workflow types, plus pn-core:// resources and prompts.


Why this exists

A single chat can plan a feature, write the code, and tell you it's done — but there's no checkpoint in between. If it goes sideways on step three, you're rereading the whole transcript to find out where. Asking it to redo one part usually means starting the conversation over, and whatever context got it that far is gone.

pnCore moves that step list out of the chat. workflow_step(type, index, state) runs one step at a time — discovery, plan, build, review — and hands back the next instruction. A skeptic pass, a human gate, or workflow_verify decides whether a step actually passed, not the model's own say-so. If you get disconnected, workflow_state_save and workflow_state_load pick the run back up where it left off.


Related MCP server: odin

What it is

Deterministic. workflow_step(type, index, state) decides the next instruction. Steps aren't skipped by assumption — skipping one is a gate decision, logged in state.

Gated. Skeptic, human, and workflow_verify gates are built into the engine. Intent is full auto, design focused, or involved — involved means you approve discovery, plan, specialists, and review before they run.

Multi-surface. One canonical tree in packages/pn-core-mcp/content/. The MCP runs the engine in any client. The Cursor plugin adds the / palette, file-glob rules, agent selector, and stop hook. Pi registers the same 26 tools natively.

Resumable. Every run has a run_id. Handoff lines and usage land in JSONL. After a disconnect, load state and continue the same step list.


Install

Prerequisite: Node.js 22+.

Call health first — it should return version, calendarDateUtc, and capabilities. If it doesn't, nothing downstream (skills, agents, workflow_step) will load either.

Cursor — MCP (one-click)

Install MCP

Or add manually to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "pn-core": {
      "command": "npx",
      "args": ["-y", "--package=git+https://github.com/perniemann/pnCore.git#main", "--", "pn-core"],
      "env": { "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo" }
    }
  }
}

GIT_TERMINAL_PROMPT=0 and GIT_ASKPASS=echo fail fast when git cannot authenticate (missing credentials, rate limit, or a bad URL). Without them, a credential prompt on piped stdin leaves Cursor in a forever loading state.

Cursor — Plugin

From your target project directory:

npx github:perniemann/pnCore plugin-install

Copies commands, rules, skills, agents, config, and hooks into .cursor/ and .cursor-plugin/. Reload Cursor, then run /pn-new.

MCP or plugin? MCP is the engine. The plugin is the Cursor surface (slash palette, rules, agents, stop hook). The intended Cursor setup is both. Details: Plugin vs MCP.

pi.dev (Pi coding agent)

pi install git:github.com/perniemann/pnCore@main

Pi surfaces a single /pn entry. Direct invoke: /pn pn-build. Native tools ship with pi install git:…/pnCore or pi install . from this repo root after npm run build:mcp. Cursor and Claude Code still use the stdio MCP server. See ADR-0008 and ADR-0009.

Claude Code

Use the same MCP JSON. Settings → MCP Servers, paste the block, enable it. See Anthropic's MCP documentation.

Windows, Cloud Agents, this-checkout node paths, and first-npx timeouts: packages/pn-core-mcp/README.md. Clone-and-develop: CONTRIBUTING.md.


Quick start

  1. Install MCP and/or plugin (above).

  2. Call health — version, UTC date, capabilities.

  3. New repo or greenfield: /pn-new or workflow_step("project_kickoff", 0, {}) — discovery, refs, PRD, and design docs under docs/refs/.

  4. Build or extend: /pn-build or workflow_step("full_dev", 0, {}) — skips kickoff when the project already has context.

  5. Before ship: /pn-deliver or /pn-frontend-audit.

Copy-paste first message:

pn-new ▲

Build [your-project-name] — [one-line description].
References: [path or "in .ref/"] (pitch, requirements, design assets).
Analyze both: prior art and design.
Intent: Involved — full gates at discovery, plan, specialists, and review.
Delivery tier: full. Design ambition: distinctive.

Answer Step 0: Yes, Both. Step 1: (3) Involved.

More prompts: docs/how-to-use-guide.md.


Workflows

Call list_workflow_types for live step counts.

Use it for

Workflow

Cursor

MCP entry

New project: refs, discovery, PRD, design

project_kickoff

/pn-new → Involved

workflow_step("project_kickoff", 0, {})

Build a feature or product end-to-end

full_dev

/pn-build

workflow_step("full_dev", 0, {})

Design-first UI

design

/pn-design

workflow_step("design", 0, {})

Scored frontend diagnosis + fix roadmap

frontend_audit

/pn-frontend-audit

workflow_step("frontend_audit", 0, {})

API, security, data, errors, performance

backend_audit

/pn-backend-audit

workflow_step("backend_audit", 0, {})

SVG, raster, or placeholders

svg_create / image_create

/pn-assets

workflow_step("svg_create" | "image_create", 0, {})

Evidence-led strategy brief

business_strategy

/pn-strategy

workflow_step("business_strategy", 0, {})

Competing implementations (2–3 worktrees)

implementation_tournament

/pn-best-of-n (bestOfN.enabled: true)

workflow_step("implementation_tournament", 0, {})

Multi-slice hierarchical build

feature_program

/pn-program (preview; featureProgram: true)

workflow_step("feature_program", 0, {})

Also on the engine: visual_tweak, prompt_optimize, game_feature, engine_feature (Unreal / Godot), fsi_analyst_draft, media_director. Full table and aliases: list_workflow_types.

Example: full_dev

#

Who

Action

1

You

/pn-new or "Start a new project with full dev workflow." Choose full auto, design focused, or involved.

2

Agent

workflow_step("full_dev", 0) — discovery: purpose, users, stack, references, existing code.

3

Agent

Prior-art and research pass for your stack.

4

Agent

workflow_step("full_dev", 2) — roadmap, phases, architecture, plan under docs/plans/.

5

You

Review plan. Involved intent runs skeptic challenge; approve before build.

6

Agent

workflow_step("full_dev", 3) — specialist routing (frontend, backend, testing, …).

7

Agent

workflow_step("full_dev", 4) — specialists build; UI assets created when in scope.

8

Agent

Optional merge phase (mergePhaseFullDev): reconcile parallel work, verify build.

9

Agent

workflow_step("full_dev", 5) — review + optimize against the plan.

10

You

/pn-deliver for handoff pack, or /pn-frontend-audit for a scored quality gate.

Tool steps are 0-based. Resume after disconnect: workflow_state_save then workflow_state_load. Schema: pn-core://reference/workflow-state-schema.md.

Design-first: workflow_step("design", 0) instead of full_dev. Load .pncore-design.md via /pn-setup.

Game / 3D: workflow_step("game_feature", 0) for feature loops. For full builds, use full_dev and name the stack in discovery.


What changes

Without pnCore

With pnCore

One long transcript

Named steps, each with a run_id

"Done" means the model stopped talking

Skeptic, workflow_verify, or a delivery pack decide

A retry starts a new chat

workflow_state_load picks up where it stopped

Skills live in a folder you have to remember to load

The engine loads gates and skills automatically

Works in Cursor chat, nowhere else

MCP runs in any client; Pi has native tools

Three tier concepts (do not conflate them): delivery tier (MVP/Full), context tier (1–4 reading depth), model tier (fast / standard / premium / premium_thinking / long_horizon). Loop orchestration: suggest_model_tier with role: orchestratorlong_horizon. See pn-core://reference/delivery-tier-criteria.md and MCP tools.

Load before a build session: pn-core://reference/best-practices.md, pn-core://reference/loop-orchestration-guide.md, pn-core://reference/aesthetics-baseline.md, and health for the current UTC date.


Honest edges

Situation

What happens

What to do

A one-line typo fix

The workflow overhead isn't worth it

Ask directly, skip workflow_step

Plugin without MCP

Slash templates only — no workflow_step engine

Install MCP for Cursor, or both

First npx on a git+https package URL

Cursor MCP can time out on a cold clone

Pre-warm once, then reload. Matrix: MCP README

feature_program / bestOfN

Preview flags; off by default

Set featureProgram: true or bestOfN.enabled: true

Vue, Svelte, Angular, Unity

Limited support

Prefer React, Astro, Next, vanilla web, Node, Three.js / Babylon, n8n, web3

Best fit: teams building with Cursor on React, Astro, Next.js, vanilla web, Node backends, Three.js / Babylon / gamedev, n8n, and web3. Inventory: docs/plugin-reference.md.


Documentation

Guide

What's in it

docs/how-to-use-guide.md

Copy-paste prompts, example flows, MCP-only bootstrap

docs/mcp-usage-guide.md

MCP tools, resources, workflow patterns, state/handoff

docs/plugin-reference.md

Rules, skills, agents, commands, hooks

packages/pn-core-mcp/README.md

MCP config, 26 tools, env vars, error codes, resources

docs/companion-mcp-catalog.md

Companion MCPs (Octocode, Stripe, n8n, …)

docs/pitch-to-app-example.md

End-to-end pitch-to-app walkthrough

packages/pn-core-mcp/content/docs/starting-new-project.md

Kickoff and docs/refs/ setup

CONTRIBUTING.md

Workspace map, scripts, PR workflow, ADR policy

plugins/pnCore/CHANGELOG.md

Release history


Scripts

Contributor scripts, local MCP config, and how to develop pnCore live in CONTRIBUTING.md. Repo layout: docs/folder-structure.md.


License

MIT — see LICENSE.

A
license - permissive license
Not graded
quality - not tested
C
maintenance

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