mcp-gemini-bridge

Development workflow skills: write and execute Product Requirement Plans (PRPs), containerise projects with current Docker practice, and review architecture against the Fifteen-Factor App methodology

4 skills · hooks

Document toolkit: fast PDF text extraction, OCR for scanned PDFs, structured parsing of PDFs and office files, plus uv-runnable scripts for forms, tables, merging, splitting and validation

4 skills · hooks

Google Analytics 4 guide covering property setup, events, ecommerce, Measurement Protocol and privacy compliance, plus a skill for querying the GA4 BigQuery export with cost-controlled SQL

2 skills · 1 MCP server

Git and GitHub conventions with a live GitHub Actions version check that resolves every uses: line from GitHub, plus a user-triggered /release workflow that bumps every version file, moves the changelog, tags and publishes a GitHub release after confirmation.

2 skills

Comprehensive Google Tag Manager guide covering container setup, tags, triggers, variables, data layer, debugging, custom templates, and GTM API

1 skill · 1 MCP server

Cryptocurrency prices, market data, and historical trends via CoinGecko

1 MCP server · hooks

AI-powered codebase understanding — analyze, visualize, and explain any project

9 skills · 10 agents · hooks

Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications

5 skills · hooks

Rewrite AI-sounding text so it reads like the writer without changing what it says.

1 skill

AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.

3 skills · 6 commands · 1 MCP server · hooks

Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.

2 commands

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents