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Project health audit and health check — architecture, performance, tests, dependencies, code quality. Use when assessing overall project health, before releases, or after refactors.

Code & Development 507 stars 35 forks Updated yesterday MIT

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Quality Score: 94/100

Stars 20%
90
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Project Health Audit Comprehensive project-wide health assessment using 5 parallel specialist subagents. ## Usage ``` /phx:audit # Full audit (default) /phx:audit --quick # 2-3 minute pulse check /phx:audit --focus=security # Deep dive single area /phx:audit --focus=performance /phx:audit --since abc123 # Incremental audit since commit /phx:audit --since HEAD~10 # Audit last 10 commits ``` ## When to Use - **Quarterly** health checks - **Before major releases** - **After large refactors** - **New team member onboarding** (understand codebase health) ## Iron Laws 1. **Wait for ALL agents before synthesizing** — Partial results create misleading health scores because cross-category correlations get missed 2. **Scope agent prompts to specific directories** — Vague prompts like "analyze the codebase" produce generic findings that waste tokens and miss real issues 3. **Never compare scores across projects** — Scoring methodology depends on project size and maturity; only track trends within the same project 4. **Quick mode before full mode** — Run `--quick` first to catch compile/test failures before spending tokens on 5 parallel agents ## Subagent Architecture Spawn 5 specialists in parallel using Agent tool. Each call routes to a declared-model plugin specialist (sonnet/opus) so the work doesn't fall through to `general-purpose` (Opus by default): | Subagent | Focus | Output File | Routes to | |----------|-------|-------------|-----------| | Ar...

Details

Author
oliver-kriska
Repository
oliver-kriska/claude-elixir-phoenix
Created
5 months ago
Last Updated
yesterday
Language
Python
License
MIT

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