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Automate

Official

@automatedigital · United Kingdom

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3Public Repos
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96Published Skills

Automation and AI studio designing intelligent workflows, data systems, and digital infrastructure for modern businesses.

Skills Distribution
DomainAI Models & ...LLM Fine-Tuning & .. (40%)Creative Multimedi.. (30%)Developer Infrastr.. (20%)Enterprise Data & .. (10%)

Agent Skills by Automate

Showing 96 vetted skills indexed across 1 GitHub repositories.

automatedigitalautomatedigital
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build-mac

Rebuild the Spark macOS app bundle and DMG installer.

Official
Intermediate
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release-mac

Automate Spark macOS DMG publication to GitHub Releases with version-aligned git tagging.

Official
Intermediate
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tasker

Automate ticket lifecycle from ideation to merged pull request across ticket trackers and GitHub.

Official
Advanced
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graphify

Convert unstructured code, docs, and media into queryable knowledge graphs.

Official
Advanced
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find-skills

Search the open agent skills ecosystem for matching pre-built skills and return install commands and documentation links.

Official
Intermediate
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apple-reminders

Manage Apple Reminders entries from the terminal via remindctl CLI.

Official
Intermediate
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imessage

Send and receive iMessage and SMS messages from the macOS terminal.

Official
Intermediate
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findmy

Track Apple device and AirTag locations on macOS via UI automation.

Official
Intermediate
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apple-notes

Manage Apple Notes from the terminal using the memo CLI on macOS.

Official
Intermediate
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blogwatcher

Monitor blogs and RSS/Atom feeds to detect newly published content.

Official
Intermediate
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polymarket

Query Polymarket prediction market data via public REST APIs.

Official
Intermediate
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1

llm-wiki

Maintain a persistent interlinked markdown knowledge base from URLs, PDFs, and pasted text.

Official
Advanced
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arxiv

Search arXiv's public API for academic papers and metadata.

Official
Intermediate
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research-paper-writing

Automate ML/AI research paper pipelines from experiment design to submission.

Official
Advanced
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twitter-x-cli

Interact with X/Twitter via the official x-cli terminal client and X API.

Official
Intermediate
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webhook-subscriptions

Create HMAC-secured webhook subscriptions that trigger Spark agent runs on event POST requests.

Official
Intermediate
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jupyter-live-kernel

Execute iterative Python code against a live Jupyter kernel with persistent variables.

Official
Intermediate
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test-driven-development

Enforce a test-first workflow with RED-GREEN-REFACTOR cycles and regression checks.

Official
Advanced
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systematic-debugging

Enforce root cause investigation before code changes in debugging workflows.

Official
Advanced
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1

plan

Generate structured markdown implementation plans with steps, files, tests, and risks.

Official
Intermediate
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grill-with-docs

Align software plans with domain glossaries and architectural decision records.

Official
Intermediate
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writing-plans

Create implementation plans with exact file paths, code examples, and TDD cycles.

Official
Intermediate
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requesting-code-review

Scan git code changes for security vulnerabilities and test regressions before commit.

Official
Advanced
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1

exploratory-web-qa

Run structured exploratory QA testing of web applications with evidence capture and bug reports.

Official
Intermediate

Frequently Asked Questions About Automate

FAQPage Schema
What specific tasks can I perform with these capabilities?

You can execute LLM fine-tuning via LoRA/QLoRA, render deterministic HTML-based video compositions, manage GitHub/Linear issue lifecycles, and perform OCR on documents or PDFs directly from your terminal.

Who is the target persona for these technical capabilities?

These capabilities are designed for machine learning engineers, creative technologists, and software developers who prefer terminal-centric interfaces for managing complex model training, video rendering pipelines, and enterprise project management.

What are the prerequisites for running these operations?

Most operations require a Unix-like environment (macOS/Linux), standard git credentials, and specific runtime dependencies like ffmpeg, node.js, or local GPU drivers for model inference and video rendering tasks.