igniteenow
Community@igniteenow
igniteenow maintains the Robo Agent skill registry: 184 open-source skills spanning LLM fine-tuning, RAG, creative media, security recon, finance modeling, and desktop productivity.
Agent Skills by igniteenow
Showing 151 vetted skills indexed across 1 GitHub repositories.
sketch
Generate 2-3 interactive HTML design variants for side-by-side UI comparison.
himalaya
Manage IMAP and SMTP email accounts from the terminal using the Himalaya CLI.
openhue
Control Philips Hue lights, rooms, and scenes via the OpenHue CLI.
claude-code
Delegate coding tasks to the Claude Code CLI via print mode or tmux sessions.
codex
Delegate coding tasks to the OpenAI Codex CLI from the terminal.
robo-engineer
Configure, theme, extend, and orchestrate the Robo Agent CLI and desktop app.
computer-use
Automate desktop GUI interactions via background clicking, typing, and scrolling across macOS, Windows, and Linux.
opencode
Delegate coding tasks to the OpenCode CLI agent for implementation, refactoring, and PR review.
nano-pdf
Edit text in existing PDF pages using natural-language instructions.
maps
Geocode places, find nearby POIs, and compute routes via OpenStreetMap and OSRM.
xlsx
Create, read, and edit Excel workbooks with formulas, formatting, and recalculation.
Create, merge, split, fill, and encrypt PDF files using Python libraries and CLI tools.
notion
Manage Notion pages, databases, and Workers via the ntn CLI or HTTP API.
airtable
Manage Airtable bases, tables, and records via REST API curl commands.
powerpoint
Create, read, and edit PowerPoint .pptx decks using pptxgenjs and direct OOXML manipulation.
google-workspace
Manage Gmail, Calendar, Drive, Sheets, and Docs through OAuth-authenticated CLI commands.
ocr-and-documents
Extract text, tables, and images from PDFs and scanned documents using pymupdf or marker-pdf.
docx
Create, read, and edit Word .docx documents including tracked changes and comments.
youtube-content
Extract YouTube transcripts and convert them into summaries, chapters, threads, and blog posts.
songsee
Generate spectrograms and audio feature visualizations from audio files via CLI.
gif-search
Search and download GIFs from the Tenor API using curl and jq.
google_meet
Joins Google Meet calls with a Playwright bot to transcribe captions and speak via OpenAI Realtime.
yuanbao
Query Yuanbao group info and members, send @mentions and direct messages.
parallel-cli
Runs web search, deep research, enrichment, and monitoring through the Parallel CLI.
Frequently Asked Questions About igniteenow
FAQPage SchemaWhat tasks can I automate using igniteenow's Robo skills?▼
The registry covers LLM fine-tuning (LoRA, DPO, GRPO), vector search and RAG (Pinecone, Qdrant, FAISS, Chroma), image/video/music generation (ComfyUI, Stable Diffusion, HeartMuLa), GitHub PR and issue management, web pentesting and OSINT, Excel/PDF/PowerPoint authoring, crypto and stock market queries, and Google Workspace, Notion, and Airtable integrations.
Who are these skills built for?▼
ML engineers running distributed training and inference, security researchers doing pentests and forensics, developers delegating coding to Claude Code/Codex/OpenCode CLIs, finance analysts building valuation models, and creators producing video, music, pixel art, and diagrams — all orchestrated through the Robo Agent runtime.
How do I install and run these skills?▼
Skills are SKILL.md folders loaded by the Robo Agent runtime on Linux, macOS, or Windows. Each declares its own prerequisites — e.g. python3, curl, npx, or specific CLIs like sherlock or himalaya — plus required environment variables such as SHOPIFY_ACCESS_TOKEN or NOTION_API_KEY, which the setup flow prompts for.
Are the skills open source and free to use?▼
Nearly all skills are MIT or Apache-2.0 licensed and free. Exceptions are the Anthropic-adapted Office skills (docx, xlsx, pdf, powerpoint), which carry a proprietary license detailed in their LICENSE.txt. Some skills call paid third-party services like Stripe, Twilio, or Lambda Labs at the provider's own rates.
What dependencies do the ML training skills require?▼
Training skills need PyTorch plus libraries like transformers, peft, trl, accelerate, or deepspeed; Unsloth and QLoRA reduce VRAM needs. GPU-heavy skills (TensorRT-LLM, Flash Attention, NeMo Curator with RAPIDS) require NVIDIA hardware, while llama.cpp runs GGUF inference on CPU and Apple Silicon.