Adoption

Make this repository AI-first

One endpoint to turn any repository into a spec-driven, agent-ready codebase. Install the skill, let an agent onboard the repo, then plan and execute structured work with any coding agent.

Give this to your agent

Paste the line below into your AI coding agent. It will read the methodology and specification, install the skill, and onboard this repository for Deep Work Plans.

agent

Read and follow the instructions at https://deepworkplan.com/init.md to make this repository AI-first.

Self-contained agent prompt → /init.md

What this does

Adoption changes the repository in two durable ways — the pillars of the methodology.

First, the repository becomes spec-driven: work begins from a written plan and specification, not from ad-hoc prompts. Second, the repository itself becomes the agent harness — an AGENTS.md, a docs/ knowledge base, per-module docs, and a .agents/ skill home (with the .claude → .agents symlink) give every agent the context and commands it needs.

The adoption sequence

01
Verify before you install

Treat the prompt and the skill as untrusted until you have checked them. Both are open source and MIT; the skill is Markdown-first with no network calls and no telemetry. Each release publishes a SHA256SUMS over the shipped skill, so you can confirm your copy matches before running it. Releases are checksummed, not signed (signing is a documented next step).
agent
```
curl -fsSL -o SHA256SUMS https://github.com/DailybotHQ/deepworkplan-skill/releases/download/vX.Y.Z/SHA256SUMS && ./setup.sh --verify
```
02
Install the skill

Add the Deep Work Plan skill so any agent can plan and execute structured work. The skill ships a router plus eight sub-skills — create, execute, refine, resume, status, verify, onboard, and author.
agent
```
npx skills add DailybotHQ/deepworkplan-skill
```
or
agent
```
git clone https://github.com/DailybotHQ/deepworkplan-skill.git && cd deepworkplan-skill && ./setup.sh
```
03
Run repository onboarding

Invoke the onboard sub-skill and let the agent reason about the actual repo — its stack, package manager, and real validation commands. It then generates AGENTS.md, a docs/ knowledge base, per-module docs, and a cross-agent .agents/ home (with the .claude → .agents symlink), wires the thin dwp-* commands, and scaffolds a gitignored .dwp/ for plans and drafts. Nothing is templated; everything is adapted to your repository.
agent
```
/deepworkplan-onboard
```
04
Evolve the kit and accept addons

Use /skill-create and /agent-create (the author sub-skill) to grow stack-appropriate skills, agents, and commands. Onboarding also offers three opt-in addons — devcontainer, Dailybot, and dependency-upgrade — that you accept only when they fit. A repo is fully conformant with zero addons.
05
Plan and execute

Generate Deep Work Plans with /dwp-create and run them with /dwp-execute, then /dwp-status, /dwp-refine, and /dwp-resume as work proceeds. Each plan carries numbered tasks, validation gates, and a completion protocol so work stays structured, reviewable, and resumable across sessions.

The outcome

The repository becomes spec-driven and the repository itself becomes the agent harness — context and commands travel with the code.

Verify before you install

Install the skill

Run repository onboarding

Evolve the kit and accept addons

Plan and execute