
Project Onboard
- 44 installs
- 1 repo stars
- Updated July 19, 2026
- fearovex/claude-config
project-onboard is an agent skill that diagnoses Claude project configuration from the file tree and prescribes the exact slash-command sequence for one of six onboarding cases—usable whenever a solo builder
About
project-onboard is a procedural Claude Code skill that treats “where do I start?” as a filesystem diagnosis problem. It walks a fixed five-check waterfall in priority order, reading CLAUDE.md, ai-context, audits, and related signals to assign one of six onboarding cases without asking the user survey questions. The first failing check sets the primary case; later checks can still add warnings—for example a broadly healthy repo with fixable local skill gaps. Each case ships with an ordered command sequence such as project-setup, memory-init, project-audit, and project-fix so solo builders do not guess which slash command comes next. It is ideal when you clone an unfamiliar repo, inherit a half-configured agent workspace, or reopen a project after weeks away and need a deterministic reset path before creative work.
- 5-check waterfall in strict priority order—reads real files, never interrogates the user
- Maps the repo to one of 6 onboarding cases with a concrete recommended command sequence
- Accepts `.claude/CLAUDE.md` or root `CLAUDE.md` for global-config layouts
- Check 4 is non-blocking so a healthy project can still surface local skill issues
- Triggers on `/project-onboard`, “what do I run first,” and project setup help
Project Onboard by the numbers
- 44 all-time installs (skills.sh)
- Ranked #7,851 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 24, 2026 (Skillselion catalog sync)
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| Installs | 44 |
|---|---|
| repo stars | ★ 1 |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 19, 2026 |
| Repository | fearovex/claude-config ↗ |
What it does
Run an automated filesystem diagnosis so Claude knows which onboarding commands to run next in a new or messy repo.
Who is it for?
Best when you're onboarding to an existing or empty Claude-configured repo and want a read-only diagnosis and scripted next steps instead of ad-hoc exploration.
Skip if: Skip if you already completed project-setup and audit with a green report and only need feature implementation—skip repeat onboarding unless files changed materially.
When should I use this skill?
/project-onboard, what do I run first, project setup help, diagnose project state.
What you get
You get a labeled case diagnosis, detected file facts, warnings, and a numbered command sequence tailored to the repo so you can invoke project-setup or follow-on fixes without manual triage.
- Case-labeled diagnosis block
- Detected file inventory
- Ordered recommended command sequence
By the numbers
- 6 onboarding cases
- 5-check waterfall diagnosis
Files
project-onboard
Reads the current project's file system and determines which of 6 onboarding cases applies, then recommends the exact command sequence.
Triggers: /project-onboard, onboard project, diagnose project state, what do I run first, project setup help
---
Process
I run a 5-check waterfall in strict priority order. I read real files — I never ask the user questions. The first failing check determines the primary case assignment. Check 4 is non-blocking: a project can simultaneously be Case 6 (healthy) and have local skill issues.
Check 1 — CLAUDE.md exists
Read .claude/CLAUDE.md (also accept CLAUDE.md at project root for global-config repos).
If absent → Case 1: Brand-new project
## Diagnosis
Project state: Case 1 — Brand-New Project
Detected:
- .claude/CLAUDE.md: NOT FOUND
- No Claude configuration present in this project
Warnings:
- None
## Recommended Command Sequence
1. /project-setup — creates .claude/CLAUDE.md, ai-context/ skeleton, persists context to engram
2. /memory-manage — generates ai-context/ files from real project content
3. /project-audit — produces audit-report.md with score and findings
4. /project-fix — applies all corrections from the audit report
## Notes
After /project-fix, re-run /project-audit to verify score ≥ 75 and SDD Readiness = FULL or PARTIAL.
See ai-context/scenarios.md → Case 1 for failure modes and recovery steps.Stop here if Case 1.
---
Check 2 — Engram MCP reachable
Check if Engram MCP is reachable (call mem_context).
- If Engram is reachable → SDD infrastructure lives in Engram. Treat the project as healthy for this check and continue to Check 3.
- If Engram is NOT reachable → Case 2 (below).
If Engram not reachable → Case 2: CLAUDE.md present but no SDD persistence
## Diagnosis
Project state: Case 2 — CLAUDE.md Without SDD Persistence
Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: NOT REACHABLE
- SDD cannot persist artifacts without Engram
Warnings:
- [list any ai-context/ files found or note if ai-context/ is absent]
## Recommended Command Sequence
1. Ensure Engram MCP server is running and configured
2. /project-audit — diagnose the full scope of what is missing
3. /project-fix — adds SDD section to CLAUDE.md
4. /memory-manage — if ai-context/ is empty or absent
5. /project-audit — verify score improved
## Notes
project-fix will ask before every change — review each proposed action carefully.
See ai-context/scenarios.md → Case 2 for failure modes and recovery steps.Stop here if Case 2.
---
Check 3 — ai-context/ has ≥ 3 populated files
Read ai-context/ directory. Count files that exist AND have more than 10 lines. Expected files: stack.md, architecture.md, conventions.md, known-issues.md, changelog-ai.md.
If fewer than 3 populated files → Case 3: Partial SDD, sparse memory layer
## Diagnosis
Project state: Case 3 — Partial SDD (ai-context/ is sparse)
Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: REACHABLE
- ai-context/ populated files: [N] of 5 (minimum needed: 3)
- Missing or empty: [list each absent/stub file]
Warnings:
- [list any other issues found, e.g. stale onboarding.md]
## Recommended Command Sequence
1. /memory-manage — regenerates all ai-context/ files from real project state
2. /project-audit — verify D2 score improved
3. /project-fix — address any remaining findings
## Notes
/memory-manage does not overwrite files that already have substantial content.
See ai-context/scenarios.md → Case 3 for failure modes and recovery steps.Stop here if Case 3.
---
Check 4 — Local skills review (non-blocking)
Read .claude/skills/ directory. If it exists and has any subdirectories, record a warning for the diagnosis output. Do not stop — continue to Check 5.
Local skills warning (append to any case diagnosis):
Warnings:
- .claude/skills/ found with [N] local skill(s): [list names]
Run /project-audit to see Dimension 9 findings (duplicate detection, structural completeness, language compliance).
Run /project-fix Phase 5 to apply corrections after auditing.---
Check 5 — Orphaned SDD changes
Search engram for active SDD changes: mem_search(query: "sdd/", project: "{project}"). Filter for changes that have a state artifact but no archive-report, and check if they have tasks and verify-report artifacts.
If any change is missing `tasks` OR `verify-report` artifacts → Case 5: Orphaned or stale changes
## Diagnosis
Project state: Case 5 — Orphaned SDD Changes
Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: REACHABLE
- ai-context/: adequate ([N] populated files)
- Orphaned changes:
- [change-name]: missing [tasks | verify-report]
- [change-name]: missing [tasks | verify-report]
Warnings:
- [local skills warning if Check 4 triggered]
## Recommended Command Sequence
1. /sdd-status — see all active changes and their current phase
2. For each orphaned change, one of:
/sdd-apply <name> — if tasks.md is missing (change never implemented)
/sdd-verify <name> — if implemented but never verified
/sdd-archive <name> — if complete but never archived
3. /project-audit — verify D3 shows no orphaned changes
## Notes
To discard a dead-end change: run /sdd-archive <name> to close it in engram.
See ai-context/scenarios.md → Case 5 for failure modes and recovery steps.Stop here if Case 5.
---
Check 6 — All healthy (default)
All checks passed. The project is fully configured.
## Diagnosis
Project state: Case 6 — Fully Configured
Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: REACHABLE
- ai-context/: adequate ([N] populated files)
- Engram: no orphaned SDD changes
Warnings:
- [local skills warning if Check 4 triggered]
- [stale onboarding.md warning if Last verified > 90 days: "onboarding docs are stale — refresh them manually"]
## Recommended Command Sequence
For a well-understood change:
1. /sdd-propose <change-name> — create proposal (orchestrator fast-forwards planning automatically)
2. /sdd-apply <change-name> — implement the task plan
For a complex or vague change:
1. /sdd-explore <topic> — investigate the area before committing to a change
2. /sdd-propose <change-name> — create proposal from exploration findings
3. /sdd-apply <change-name> — implement the task plan
## Notes
Multi-phase flows (propose → spec+design → tasks in one shot, or full cycles with exploration) are handled
by the orchestrator as meta-commands typed directly in conversation — not invoked as skills.
See ai-context/quick-reference.md for entry-point guidance.---
Check 7 — Runtime sync hint (non-blocking, global-config mode only)
If install.sh AND skills/ exist at the project root (i.e., the cwd is the agent-config meta-repo), append the following line to the Warnings: section of the case diagnosis output — regardless of which case was assigned:
- Verify ~/.claude/ is in sync with this repo by re-running install.sh (installation drift check).This check MUST NOT change the case assignment, alter the Recommended Command Sequence, or interrupt the existing 6-check waterfall. It is a hint only.
---
Stale docs warning logic
After determining the primary case, check ai-context/onboarding.md, ai-context/scenarios.md, and ai-context/quick-reference.md for the > Last verified: field. If any file's date is more than 90 days from today, append to the Warnings section:
- [filename] is stale ([N] days since last verification). Refresh it manually.---
Rules
- Do not ask the user any questions — detection is fully automatic from file-system state
- Detection is derived from real file presence/absence — no hardcoded case IDs or lookup tables
- Priority order is strict: once a case is assigned at check N, do not also assign a lower-priority case (exception: Check 4 local skill flag is always surfaced as a warning, non-blocking)
- Emit structured output only — no raw directory listings, no stack traces, no internal file dumps
- Make no file-system changes — this skill is 100% read-only
- Always include a
## Notessection pointing to the relevant case inai-context/scenarios.mdfor failure modes
Related skills
How it compares
Use instead of asking the agent open-ended “how should I configure this project?” when you want case-based routing tied to fearovex/claude-config slash commands.
FAQ
Who is project-onboard for?
Claude Code users maintaining agent-ready repos—especially developers juggling multiple codebases who need a fast, file-based state machine before deeper setup skills run.
When should I use project-onboard?
At idea/validate when scoping a inherited codebase; at build when agent-tooling is missing; at ship before audits; at operate when returning to a stale `.claude/` tree—any time triggers like `/project-onboard` or “what do I run first” apply.
Is project-onboard safe to install?
It is procedural read-only diagnosis by design, but review the Security Audits panel on this Prism page and confirm you are comfortable with the companion commands it recommends before running automated fixes.