readiness and open sourcing. Activate when developing new skills or refining existing ones.
- [swarm-coding](https://skills.danicat.dev/agents/swarm-coding/SKILL.md): Orchestrates multi-agent hierarchical swarms using a divide-and-conquer architecture
Signum
> Evidence-driven development pipeline with multi-model codereview. Transforms feature requests into verified code changes with cryptographic proof.
## Overview
Signum is a Claude Code plugin that runs
wire the host:
```bash
npm install -g goodmemory@0.8.0
goodmemory setup # detects Codex + Claude Code, installs managed wiring
goodmemory status
```
Not sure what is already installed? Run `goodmemory adopt
agent_bounties_get_creator_review` and `agent_bounties_stage_creator_verdict` on the participant page. Preparation never signs or pays.
Funding-ready coding handoffs pass `benchmark` and `evidence_schema` together
article protocol](skills/crossframe-critical/protocols/critical-article-protocol.md): dossier to critique matrix to article plan to long-form essay.
- [Review skill](skills/crossframe-review/SKILL.md): audit CrossFrame outputs for reasoning fidelity, evidence boundaries, citations, and repair steps.
- [Dialogue
problem it solves
AI agents are usually isolated. A coding assistant cannot ask another agent for context or a review, so a person ends up as the relay, copying messages
Loop.
Last reviewed: 2026-07-11
Canonical website: https://cis2042.github.io/product-design-harness/
Source repository: https://github.com/cis2042/product-design-harness
## Core Facts
- UX3 is a product decision harness, not a coding harness
docs/CONTRACTS.md
- docs/COUNCIL.md
- docs/LIVE-CODING.md
Golden review examples (all validate against the canonical review contract):
- examples/quick-gate-review.json
- examples/standard-gate-review.json
- examples/ux3-council-review.json
Live coding golden chain:
- examples/live-coding-product-brief.json
- examples/live-coding-review.json
- examples/live-coding-context-pack.json
Verify locally (CI runs the full suite
shape of the API.
## Install Setoku
- [Setoku quickstart](https://setoku.com/#quickstart): add the Claude Code plugin (`/plugin marketplace add Hedgy-Labs/setoku`), then run `/setoku:onboard` from your project directory
encoding operator preferences. Adapters mount the same kernel files into specific runtimes (Claude Code, Hermes, future).
## Primary identity (load first)
- [THE_WAY_TO_THINK](./docs/THE_WAY_TO_THINK.md): what episteme
your recent notifications. Each notification shows:
- **Type icon** — Color-coded by category (Leave, Attendance, Announcement, Review, System)
- **Title** — A brief description of the event
- **Message** — Details about what happened
- **Timestamp
Agentic HIL
> Agentic HIL is a hardware-in-the-loop MCP server for AI coding agents. It lets an agent develop firmware on the real board: bounded tools to flash
they also work by copying them into any AI coding tool (Cursor, Claude Code, Copilot, Aider, Windsurf).
## Start here
- [README](README.md): what the project is, quick start, and the full
Open-source software that turns the coding agents a developer already pays for (Claude Code,
> Codex, OpenClaw) into one squad on their own machine (Sno Station is the agents' workstation
Specification Generation** - Use AI agents to create initial specifications from legacy code
3. **Specification Verification** - Domain experts review and validate specifications
4. **Modern Implementation** - Generate new code from verified specifications