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caddis — a Claude Code harness

Browse every command, skill, agent and hook -> saajunaid.github.io/caddis-plugin — the reference site, rebuilt on every publish.

caddis is a Claude Code harness — a plugin (plus a shared pool of skills, subagents, slash-commands, and hooks) that makes a single Claude Code session dramatically more capable and much harder to derail. It's agent-agnostic: the same pool is exported to other AI CLIs (Codex, Antigravity, Copilot), and CLAUDE.md↔AGENTS.md are mirrors so every agent reads the same conventions.

Before you start

Honest about the platform: caddis is developed and used daily on Windows with PowerShell. The hooks are pure Python and cross-platform, and the skills, commands and agents are plain markdown that work anywhere — but some launchers ship as both .ps1 and .sh, the deployment skill is Windows-specific, and the publishing machinery (sync.ps1) is PowerShell-only. Nothing here is hostile to macOS or Linux; it is simply less travelled, so expect rough edges and please report them.

Your first five minutes

claude plugin marketplace add saajunaid/caddis-plugin
claude plugin install caddis@caddis

Then, in a Claude Code session, confirm it actually loaded:

/caddis:version

If that prints a version, you are installed. From there, the shortest path to seeing what caddis is for:

Everything else is optional. If you only ever use feature-plan → implement → cross-review, you have most of the value.

This repository is the published marketplace mirror: it hosts the caddis and caddis-extras Claude Code plugins, the portable per-harness bundles under bundles/, and the shared pool. It is generated and pushed by the caddis authoring repo's exporter — issues are welcome here, but code changes land upstream and are synced in.

Install (Claude Code)

# 1. Register this repo as a plugin marketplace (once)
claude plugin marketplace add saajunaid/caddis-plugin

# 2. Install the core plugin (always-on, lean context)
claude plugin install caddis@caddis

# 3. (optional) Add the long-tail skill library — cloud/data/media/etc. Disabled by default,
#    so it costs zero always-on context until you enable it.
claude plugin install caddis-extras@caddis

Then, in any repo:

/caddis:setup-project-ai     # deploy the harness into the project

A normal working loop looks like:

/feature-plan      # (or /prd first) → writes .caddis/plans/<slug>.md, the durable spine
/implement         # executes the plan phase-by-phase, TDD, commit per phase
/ship              # express lane: commit → push → CI (hotfixes); feature work: /ship-pr then /ship-merge
/handoff           # ALWAYS end a session with this — writes the resume doc

Shortened. The full README is on GitHub.