Productivity & Automation for Claude Code

Format code files using Prettier

Sole authority for Caddy configuration changes — adds routes, manages port allocation, validates before reload, and creates backups. Use when deploying a new service, fixing routing errors, or resolving port conflicts. Trigger with "add a Caddy route", "fix 502 on this path".

Synchronizes admin dashboards, registers new services for persistence via service_manager.py, and verifies all dashboards reflect accurate system state after reboots. Use when adding a new service or verifying the system after a restart. Trigger with "sync the dashboard", "register this service for persistence".

Analyzes query plans, recommends indexes, and diagnoses N+1 patterns, lock contention, and missing pagination for SQLite and PostgreSQL databases. Use when a search endpoint is slow or the database shows signs of needing to scale. Trigger with "analyze slow queries", "optimize the database".

Generates README files, setup guides, API docs, and dependency guides from existing code. Use when a project needs end-user documentation or a fresh dev needs setup instructions. Trigger with \"document this project\", \"write the README\".

Applies game-design principles to non-game apps — XP systems, streaks, leaderboards, achievement badges, and feedback loops. Use when a product needs higher engagement or motivation mechanics. Trigger with \"add gamification\", \"make this more engaging\".

Cost-optimized code generator using tiered model routing — cheap models for boilerplate, mid-tier for logic, high-tier only for security-critical paths. Use when generating bulk code on a budget. Trigger with \"generate code cheaply\", \"draft the implementation\".

Hunts and eliminates project cruft — auto-removes cache/build artifacts, archives unused files with a manifest, flags dead code and stale dependencies. Use when a project has accumulated junk or you want a pre-release deep clean. Trigger with \"clean up this project\", \"run the janitor\".

Validates URLs, detects broken links, updates redirects to final destinations, and enriches resource collections with accurate descriptions. Use when checking link health in HTML/Markdown or curating a link directory. Trigger with \"check the links\", \"fix broken URLs\".

Coordinates the session-end hygiene suite — scout, repo cleanup, status logging, and snippet harvesting — to leave a codebase clean and documented between sessions. Use when wrapping up a session or reaching a milestone. Trigger with \"checkpoint\", \"I'm done for today\".

Orchestrates safe service deployments by sequencing pre-validation, Caddy route configuration, service lifecycle management, and post-deploy health checks with rollback on failure. Use when deploying a new service or changing infrastructure routing. Trigger with \"deploy this service\", \"add a Caddy route\".

Profiles applications, identifies bottlenecks (DB, I/O, memory, CPU), and produces optimization recommendations with benchmarked metrics. Use when an app is slow, traffic is scaling, or you need a pre-release performance baseline. Trigger with \"profile this service\", \"find performance bottlenecks\".

Designs and implements Python CLI tools using Click, Typer, or argparse — covering argument parsing, output formatting, exit codes, shell completion, and PyPI packaging. Use when building or improving a command-line application in Python. Trigger with \"build a Python CLI tool\", \"improve this CLI UX\".

Systematically scans a project for issues, applies safe non-breaking quick fixes (typos, whitespace, unused imports), and generates a prioritized improvement report with HTML output. Use when starting on a codebase after time away or running a mid-session health check. Trigger with \"scout this project\", \"scan for quick wins\".

Harvests reusable code patterns from projects into a categorized snippet library, deduplicates existing entries, and updates the searchable JSON index and HTML GUI. Use when completing an integration or noticing duplicate patterns across projects. Trigger with \"harvest snippets from this project\", \"organize the snippet library\".

Logs work accomplishments by analyzing git commits and agent reports, then regenerates the HTML status dashboard and JSON data file with cross-project activity tracking. Use when ending a work session or checking recent progress across projects. Trigger with \"log today's work\", \"update the status dashboard\".

Reference guide for the complete geepers agent suite — maps every agent to its purpose and generates an HTML index. Use when unsure which agent to use or to regenerate documentation. Trigger with "which geepers agent", "show me all agents".

Generate client SDKs from OpenAPI specs

Greet the user with a contextual, helpful welcome message

> Implement high-performance batch API operations with job queues, progress...

> Implement comprehensive multi-level API caching strategies with Redis, CDN,...

Toggle learning mode with educational micro-explanations

List all available workflow nodes

Configure load balancers (ALB, NLB, Nginx, HAProxy)

Log a new AI experiment with terminal report

Set up log aggregation (ELK, Loki, Splunk)

Design Make.com scenarios with AI assistance

Design and document Make.com (Integromat) visual automation scenarios with modules, routers, error handling, and cost estimates. Use when building or architecting a Make.com integration workflow. Trigger with "design a Make scenario", "build a Make workflow".

Use this agent when the user requests an action that should trigger 'documentation' behavior. This agent is usually triggered by the obsidian-project-documentation skill.

Show all stored project memories

Maintains rolling 90-day analytics baselines, learned seasonal patterns, and anomaly history so specialist agents never start cold. Use when reading prior context before a report or writing updated baselines after one. Trigger with \"load analytics context\", \"update analytics baselines\".

Review and prune stale entries from MEMORY.md

Restore context from MEMORY.md at session start

Save current session context to MEMORY.md before compaction or session end

Sync MEMORY.md to git so teammates can restore context

Log a decision or pattern mid-session to MEMORY.md

Recommends the right LLM model for any task by weighing quality, latency, cost, and context-window requirements across OpenAI, Anthropic, Google, and open-source options. Use when choosing a model for a new feature or reducing spend without sacrificing quality. Trigger with "which model should I use", "pick the best LLM for this".