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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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1

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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1

webhook-subscriptions

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

Official
Intermediate
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1

jupyter-live-kernel

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

Official
Intermediate
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1

test-driven-development

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

Official
Advanced
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1

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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1

grill-with-docs

Align software plans with domain glossaries and architectural decision records.

Official
Intermediate
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1

writing-plans

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

Official
Intermediate
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1

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.