alatyshau
Community@alatyshau · Canada
A registry of 50 agent-behavior skills covering commit generation, code review, meeting transcription, Markdown-to-PDF rendering, and structured dialogue modes.
Agent Skills by alatyshau
Showing 52 vetted skills indexed across 2 GitHub repositories.
duet-work-full
Structure chat conversations into numbered, classified thoughts and maintain a shared work folder.
duet-chat
Structures chat responses with numbered headers, sized output paths, and purpose tracking.
commit
Generate a commit message for all workspace changes without committing.
viral-hooks-threads
Generates five scroll-stopping opening hooks for Threads posts.
checkpoint
Saves conversation context into project files so a new chat can continue work.
topic-master
Manages project folders and topic files for planning and execution workflows.
chat-format
Convert exported AI chat transcripts into Q-numbered Markdown documents with navigable tables of contents.
instructions-architect
Design and review AI agent instruction files for consistent runtime behavior.
pragmatic-design
Reviews and creates design artifacts from the consumer's perspective using operationalization checks.
render
Convert Markdown documents to self-contained HTML and print-ready PDF using Quarto and headless Chrome.
lectures-digitizer
Converts lecture recordings into structured notes via ffmpeg chunking and Gemini Gem transcription.
project-revision
Restructures drifted work folders into trees of per-task subfolders with plan.md files.
digestor
Convert meeting transcripts into detailed retellings and day-level summaries.
spec-architect
Write specification files that serve as source of truth for AI agents.
scriptor
Transcribes audio and video files into structured meeting protocols using Gemini or OpenAI models.
meetings-digitizer
Converts meeting recordings into structured digests using ffmpeg chunking and Gemini Gem transcription.
secretary
Archives chat history into persistent topic markdown files with checkpoint tracking.
honest-conversation
Enforces direct per-utterance answers with structured classification and no hedging.
project-manager
Coordinates agent delegation and plan.md updates to manage work folders through completion.
codereview
Reviews agent work against specifications and records issues in topic files.
tandem-executor
Executes bounded tasks from supervisor briefs with strict scope boundaries and structured artifact reporting.
planning
Generates implementation plans with completion criteria and commit-sized steps for complex changes.
stc
Tracks long chat sessions with numbered message blocks and a session debts file.
commentary
Adds attributed inline comments to Markdown documents using a structured marker syntax.
Frequently Asked Questions About alatyshau
FAQPage SchemaWhat tasks can I accomplish with alatyshau's skills?▼
You can generate commit messages, review agent code, transcribe meetings and lectures, render Markdown to HTML/PDF with Mermaid diagrams, format exported chats into numbered Q&A sections, build IDEF0 models, and run structured dialogue modes like Socratic research or critical review.
Who are these skills designed for?▼
Developers and technical leads who orchestrate AI agents in long IDE chat sessions. Skills like project-manager, codereview, tandem-executor, and stc target users delegating bounded tasks, tracking session debts, and auditing work folders with per-task subfolders.
How do the project management skills work in practice?▼
The project-manager skill runs a continuous loop: delegating to agents, monitoring progress, updating plans, and archiving after human review. The project-revision skill performs one-time cleanup when plan.md becomes bloated, restructuring the folder into per-task subfolders.
What rendering and documentation capabilities are included?▼
The render skill converts Markdown to polished HTML and PDF with a sidebar table of contents, native emoji, Mermaid diagram support, and code highlighting. The chat-format skill converts exported AI chats into Q-numbered sections with brief titles for navigable TOCs.
Which programming languages and modeling notations are supported?▼
Dedicated skills exist for Python code and TypeScript code generation. The idef0 skill creates, reviews, and formats IDEF0 functional models using the IDEFy .idef0 DSL, supporting structured systems modeling alongside general implementation work.