Correctless

/csetup — Initialize Correctless

Detect your project’s stack, configure the workflow, bootstrap documentation, and run a health check — all in one adaptive, interactive conversation that scales to your project’s maturity.

When to Use

• First time adding Correctless to a project
• Re-running on an existing project to check health improvements or detect new tooling
• After major infrastructure changes (new CI, new test runner, new dependencies)
• Not for: projects that are already set up and healthy — re-running is safe but unnecessary unless something changed

How It Fits in the Workflow

This is the entry point. Nothing else works well without it. /csetup creates the configuration, documentation, and project context that every other skill reads. After setup completes, the next step is /cspec to start your first feature.

What It Does

Setup is adaptive — it classifies your project as greenfield (< 10 source files, < 10 commits), early-stage (10-100 source files), or mature (100+ source files, existing CI/tests/docs) and adjusts the flow accordingly.

Greenfield (fast, minimal)

1. Asks what you’re building — “REST API, CLI tool, web app, library?”
2. Detects language and package manager, confirms with you
3. Runs the setup script — creates directories, registers hooks, generates config
4. Configures MCP servers — offers Serena (symbol-level analysis) and Context7 (current library docs) if tooling is available
5. Bootstraps docs — writes minimal ARCHITECTURE.md and AGENT_CONTEXT.md (real content, not templates)
6. Essential checks — secrets in source, .gitignore coverage, lock file committed
7. Source control defaults — writes branching strategy and merge strategy to config
8. Guides you to your first feature — suggests /cspec

Early-stage (balanced)

1. Understands your project — counts files, detects frameworks, asks if there’s anything to know
2. Runs the setup script — creates directories, registers hooks, generates config
3. Configures MCP servers — offers Serena and Context7 if tooling is available
4. Confirms config as a single summary (not field-by-field)
5. Discovers architecture — scans and presents findings as observations, not prescriptions
6. Mines conventions — filtered by your project’s goal (API patterns for APIs, CLI patterns for CLIs)
7. Bootstraps AGENT_CONTEXT.md — populated from scan results
8. Tiered health check — critical security first, then opt-in full health card (up to 19 items)
9. Source control setup — detects remote, commit conventions, branching/merge strategy, offers PR template
10. First feature guidance — maturity-appropriate next steps

Mature (thorough)

1. Learns your project — comprehensive scan of 100+ files, existing CI, test infrastructure
2. Runs the setup script — creates directories, registers hooks, generates config
3. Configures MCP servers — offers Serena and Context7 if tooling is available
4. Confirms config as a single summary
5. Bootstraps or merges docs — populates ARCHITECTURE.md from scratch if none exists, or adds Correctless sections alongside existing content (never overwrites)
6. Full convention mining — all 6 categories, goal-aware filtering, inconsistencies surfaced as findings
7. Bootstraps AGENT_CONTEXT.md — populated or merged with existing
8. Tiered health check — critical security first, then opt-in full health card (up to 19 items)
9. Source control configuration — full detection, branching/merge strategy, statusline activation
10. First feature guidance — maturity-appropriate next steps

Checkpoint Resume

If setup is interrupted (context compaction, user stops), re-running /csetup detects the checkpoint and offers to resume from the last completed step instead of starting over. The checkpoint includes the current branch — if you’ve switched branches, it starts fresh.

Example

Greenfield project:

User: /csetup

Agent: [creates task list: 7 items]
       I see a new TypeScript project with 4 files. What are you building?

User: A REST API for a recipe sharing app.

Agent: Got it — REST API project.
       Language: TypeScript, Package manager: pnpm. Looks right?

User: Yes.

Agent: [runs setup, bootstraps minimal docs, quick security check]
       No secrets found, .gitignore looks good. You're set up.
       Start your first feature: git checkout -b feature/my-feature
       then run /cspec.

Mature project:

User: /csetup

Agent: [creates task list: 9 items]
       I see a mature TypeScript project with 247 files, vitest, and GitHub Actions CI.
       I'll learn your existing patterns — this takes a minute.

       [scans codebase, discovers architecture, mines conventions]

       Here's what I detected:
       - Language: TypeScript, Test runner: vitest, Linter: eslint, Build: pnpm build
       Does this look right?

User: Yes.

Agent: Conventions I found:
       - 18/20 files use camelCase. 2 deviate — cleanup candidates?
       - Two different error response formats in API routes. Want to pick one?

       [drafts AGENT_CONTEXT.md from scan results]
       Here's the AGENT_CONTEXT.md I'd write. Look good?

User: Yes.

Agent: Security checks: all clear. Want to see the full health card?

User: Yes.

Agent: Project Health Check — recipe-api (TypeScript/Express)
       Score: 11/15 checks passing (4 items N/A for this stack)
       [full health card with fixes offered]

What It Reads / Writes

Reads	Writes
Project manifest files (package.json, go.mod, etc.)	.correctless/config/workflow-config.json
Existing ARCHITECTURE.md, AGENT_CONTEXT.md	ARCHITECTURE.md (populated or minimal stub)
.correctless/config/workflow-config.json (architecture_state, agent_context_state)	AGENT_CONTEXT.md (populated or minimal stub)
Source files (convention mining)	CLAUDE.md (conventions appended)
.env, .gitignore, CI configs	.correctless/artifacts/checkpoint-csetup.json
Git history (commit conventions)	.pre-commit-config.yaml (if accepted)
	.github/workflows/ci.yml (if accepted)
	.github/dependabot.yml (if accepted)
	.env.example (if accepted)
	.gitignore (additions, if accepted)
	Linter/formatter config (if accepted)
	PR template (if accepted)
	.claude/settings.json (Claude Code hook registration)

Intensity Levels

The adaptive flow and health check run at all intensity levels. At high+ intensity, the setup additionally surfaces the workflow intensity setting (standard/high/critical) during config confirmation. Intensity configures STRIDE analysis, formal modeling, and stricter QA rounds.

Common Issues

• Pre-commit hook conflicts with Husky: Correctless hooks are Claude Code PreToolUse hooks registered in .claude/settings.json, not git hooks. They coexist with Husky without conflict. The setup agent will acknowledge existing hook systems.
• jq required: The setup script uses jq for JSON manipulation. If jq is not installed, some config detection steps will fall back to manual detection. Install jq before running setup for the smoothest experience.
• Greenfield setup is fast: Under a minute for projects with < 10 files. The agent skips convention mining and most health checks, but still creates minimal docs (ARCHITECTURE.md, AGENT_CONTEXT.md) so downstream skills work correctly.
• Mature setup takes longer: Expect 5-10 minutes for projects with 100+ files. The agent scans your codebase, mines conventions, and runs the full health check. Subsequent runs are faster.
• Checkpoint interrupted: If setup gets interrupted, just re-run /csetup. It will offer to resume from where it left off (checkpoint valid for 24 hours, branch-scoped).
• Test pattern mismatch: If the agent finds test files that don’t match your workflow-config.json test pattern, it will offer to update the pattern. Fixing this during setup prevents frustration during the first /ctdd run.

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