Comprehensive project setup, auditing, and configuration management for Claude Code environments.
Works with
Detects project type from file indicators (Node.js, Python, Rust, Go, Docker, Cloudflare, etc.) and auto-generates .claude/settings.local.json , CLAUDE.md , and .gitignore with appropriate permission presets
Audits existing projects via parallel sub-agents: Permission Auditor scans for leaked secrets, stale MCP servers, permission gaps, and legacy syntax; Context Auditor checks CLAUDE.md qu
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionproject-healthExecute the skills CLI command in your project's root directory to begin installation:
Fetches project-health from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate project-health. Access via /project-health in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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One skill for everything about your project's Claude Code configuration. Run it at the start, middle, or end of a project — it figures out what's needed.
Goal: Zero permission prompts, well-organised context files, no cruft.
| You say... | What happens |
|---|---|
| "project health" / "check project" | Full audit: permissions + context + docs |
| "setup project" / "kickoff" / "bootstrap" | New project setup from scratch |
| "tidy permissions" / "clean settings" | Fix permissions file only |
| "capture learnings" / "update CLAUDE.md" | Save session discoveries |
| "add python" / "add docker permissions" | Add a preset to existing settings |
| "audit context" / "audit memory" | Context-focused audit only |
Heavy analysis runs in sub-agents to keep the main conversation clean. The main agent orchestrates; sub-agents do the scanning and return summaries.
Launched with Task(subagent_type: "general-purpose"). Prompt:
Read .claude/settings.local.json.
**Discover connected MCP servers**: Use ToolSearch (search "mcp") and extract unique
server prefixes from tool names (e.g. mcp__vault__secret_list → vault).
**Discover installed skills**: Use the Skill tool or ToolSearch to list available skills.
For each skill that has scripts/ in its directory, note what Bash patterns it needs
(python3, env var prefixes like GEMINI_API_KEY=*, etc.). Check the SKILL.md for any
MCP tools the skill references (e.g. mcp__vault__secret_get).
Report:
1. MCP servers connected but NOT in settings (missing)
2. MCP servers in settings but NOT connected (stale)
3. Skill permissions: Bash patterns and MCP tools that installed skills need but aren't approved
4. File access: check for Read/Edit/Write patterns for .claude/** and //tmp/**
in project settings, and ~/Documents/**/~/.claude/** in global settings
5. Leaked secrets: entries containing API keys, tokens, bearer strings, hex >20 chars, base64 >20 chars
6. Legacy colon syntax: entries like Bash(git:*) instead of Bash(git *)
7. Junk entries: shell fragments (Bash(do), Bash(fi), Bash(then), Bash(else), Bash(done)),
__NEW_LINE_* artefacts, loop body fragments (Bash(break), Bash(continue), Bash(echo *))
8. Duplicates: entries covered by a broader pattern (e.g. Bash(git add *) redundant if Bash(git *) exists)
9. Missing presets: based on files present, suggest presets from [permission-presets.md]
Prefer Read/Glob/Grep tools over Bash. If you need to scan multiple files or
run 3+ commands for one analysis, write a Python script to .jez/scripts/
and run it once (mkdir -p .jez/scripts first).
Return a structured summary, not raw data.
Launched with Task(subagent_type: "general-purpose"). Prompt:
Audit the project context landscape at [repo-path]:
1. Find all CLAUDE.md files. For each:
- Count lines (target: root 50-150, subdirs 15-50)
- Score quality on 6 criteria (see quality-criteria.md)
- Check for stale file/path references
- Flag oversized files
2. Find .claude/rules/ topic files. Check sizes (target: 20-80 lines).
3. Detect project type from files present (see project-types.md).
Check expected docs exist (ARCHITECTURE.md, DATABASE_SCHEMA.md, etc.)
4. Find public markdown (README.md, LICENSE, CONTRIBUTING.md).
Check for overlap with CLAUDE.md content.
5. Check auto-memory at ~/.claude/projects/*/memory/MEMORY.md
6. If Cloudflare project: find all wrangler.jsonc/wrangler.toml files.
Check each has "observability": { "enabled": true }. Flag any missing it.
Prefer Read/Glob/Grep tools over Bash. If you need to scan many files or
aggregate data across the repo, write a Python script to .jez/scripts/
and run it once rather than running many individual bash commands
(mkdir -p .jez/scripts first).
Return: project type, quality scores, missing docs, stale refs, overlaps,
size violations, observability gaps, and total markdown footprint.
For a full health check, launch both agents in parallel:
Task(subagent_type: "general-purpose", name: "permission-audit", prompt: "...")
Task(subagent_type: "general-purpose", name: "context-audit", prompt: "...")
Both return summaries. The main agent combines them into one report and proposes fixes.
The default. Run this anytime.
Launch Permission Auditor and Context Auditor agents in parallel
Combine findings into a single report:
## Project Health Report
**Project type**: [detected type]
**CLAUDE.md quality**: [score]/100 ([grade])
### Permissions
- Missing MCP servers: [list]
- Leaked secrets: [count] found
- Legacy syntax: [count] entries
- Missing presets: [list]
### Context
- Oversized files: [list]
- Stale references: [list]
- Missing docs: [list]
- Overlaps: [list]
### Recommended Fixes
1. [fix 1]
2. [fix 2]
...
Apply fixes after single yes/no confirmation
When: No .claude/settings.local.json exists, or user says "setup" / "kickoff".
Detect project type from files present:
| Indicator | Type | Preset |
|---|---|---|
wrangler.jsonc or wrangler.toml |
cloudflare-worker | JS/TS + Cloudflare |
vercel.json or next.config.* |
vercel-app | JS/TS + Vercel |
astro.config.* |
astro | JS/TS + Static Sites |
package.json (no deploy target) |
javascript-typescript | JS/TS |
pyproject.toml or setup.py or requirements.txt |
python | Python |
Cargo.toml |
rust | Rust |
go.mod |
go | Go |
Gemfile or Rakefile |
ruby | Ruby |
composer.json or wp-config.php |
php | PHP |
pom.xml or build.gradle* |
java | Java/JVM |
*.sln or *.csproj |
dotnet | .NET |
mix.exs |
elixir | Elixir |
Package.swift |
swift | Swift + macOS |
pubspec.yaml |
flutter | Mobile |
Dockerfile or docker-compose.yml |
docker | Docker |
fly.toml or railway.json or netlify.toml |
hosted-app | Hosting Platforms |
supabase/config.toml |
supabase | Hosting + Database |
.claude/agents/ or operational scripts |
ops-admin | — |
| Empty directory | Ask the user | — |
Types stack (e.g. cloudflare-worker + javascript-typescript).
Generate .claude/settings.local.json:
.claude/**, //tmp/**)~/.claude/settings.local.json has home-relative file access
patterns (~/Documents/**, ~/.claude/**). If not, suggest adding them there
(NOT in the project file — home paths belong in global settings only)WebSearch, WebFetchgh subcommands (workaround for Bash(gh *) bug)// comment groupsGenerate CLAUDE.md:
Generate .gitignore:
.claude/settings.local.json, .claude/plans/, .jez/screenshots/, .jez/artifacts/.jez/scripts/ — generated scripts are worth keepingOptionally (ask first): git init + gh repo create
Warn: "Project settings.local.json SHADOWS global settings (does not merge). Session restart needed."
When: User says "tidy permissions" or health check found permission issues.
Launch the Permission Auditor agent, then apply its recommended fixes.
When: End of session, "capture learnings", "save what we learned".
This runs in the main context (not a sub-agent) because it needs access to the conversation history.
Applies to all projects?
├── YES → ~/.claude/rules/<topic>.md
└── NO → Specific to a subdirectory?
├── YES → <dir>/CLAUDE.md
└── NO → Reference or operational?
├── Reference → docs/ or ARCHITECTURE.md
└── Operational → ./CLAUDE.md (root)
Keep it concise: one line per concept.
When: "add python permissions", "add docker", "add MCP servers".
.claude/settings.local.jsonWhen: Root CLAUDE.md over 200 lines, "restructure memory".
.claude/rules/<topic>.mddocs/| File | Target | Maximum |
|---|---|---|
| Root CLAUDE.md | 50-150 lines | 200 |
| Sub-directory CLAUDE.md | 15-50 lines | 80 |
| Rules topic file | 20-80 lines | 120 |
| Pattern | Meaning |
|---|---|
Bash(git *) |
Preferred — space before * = word boundary |
Bash(nvidia-smi) |
Exact match, no arguments |
WebFetch |
Blanket web fetch |
WebSearch |
Blanket web search |
mcp__servername__* |
All tools on one MCP server |
| Pattern | Why |
|---|---|
mcp__* |
Wildcard doesn't cross __ boundary |
mcp__*__* |
Still doesn't work |
Bash(git:*) |
Deprecated colon syntax (works but prefer space) |
settings.local.json edits need session restartgh bug: Bash(gh *) sometimes misses subcommands — include explicit Bash(gh issue *) etc.| When | Read |
|---|---|
| Building permission presets | references/permission-presets.md |
| Generating CLAUDE.md, .gitignore | references/templates.md |
| Scoring CLAUDE.md quality | references/quality-criteria.md |
| Detecting project type + expected docs | references/project-types.md |
| Setting up commit capture hook | references/commit-hook.md |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
jezweb/claude-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
We added project-health from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: project-health is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: project-health is focused, and the summary matches what you get after install.
project-health fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
project-health is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
project-health has been reliable in day-to-day use. Documentation quality is above average for community skills.
project-health is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: project-health is focused, and the summary matches what you get after install.
project-health fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: project-health is focused, and the summary matches what you get after install.
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