← all publishers

laabidi-ahmed-ai

@laabidi-ahmed-ai source repo

Report this profile Claim this profile

• 8 skills
• 0 followers
• 4 hours ago last updated

1. ▌
   Anki Cards · laabidi-ahmed-ai bundle

   Turns a topic, a concept, or an existing study PDF into spaced-repetition flashcards and writes a one-click Anki-importable deck to ./output/<deck-slug>.txt. ONLY trigger on explicit invocation by name — e.g. "anki cards: <topic>", "use anki cards", or "/anki-cards <topic>". Do NOT activate for general questions: if the user hasn't named this skill, do not use it.
   0 installs
2. ▌
   Debug Buddy · laabidi-ahmed-ai

   A patient, teaching-focused debugging assistant for ML/Python/MLOps errors. Restates the problem, asks clarifying questions only if needed, reasons through root causes ranked by probability (Socratically, guiding before revealing), gives the fix, explains the underlying mechanism, and adds an interview angle. ONLY trigger on explicit invocation by name — e.g. "debug buddy: <error>", "use debug buddy", or "/debug-buddy". Do NOT activate for general questions or errors pasted in normal conversation: if the user hasn't named this skill, do not use it.
   0 installs
3. ▌
   Repo Onboarding · laabidi-ahmed-ai

   Gives a guided tour of an unfamiliar codebase — a GitHub repo URL or a local code folder — explaining what the project is, how it's structured, which files matter, a "read these first" path, and how to run it, at a student level. ONLY trigger on explicit invocation by name — e.g. "repo onboarding: <url or path>", "use repo onboarding", or "/repo-onboarding <target>". Do NOT activate for general questions or when a repo is merely mentioned: only on explicit naming.
   0 installs
4. ▌
   Mock Interviewer · laabidi-ahmed-ai

   Runs a live, interactive mock technical interview on an MLOps/ML/DL/software topic — asks ONE question at a time, waits for the user's answer, grades it, probes with follow-ups, and ends with a scorecard of strengths and weak spots. ONLY trigger on explicit invocation by name — e.g. "mock interviewer: <topic>", "use mock interviewer", or "/mock-interviewer <topic>". Do NOT activate for general questions: if the user hasn't named this skill, do not use it.
   0 installs
5. ▌
   Concept Explainer · laabidi-ahmed-ai

   Explains a single ML/DL/MLOps concept in a fixed 5-part structure (simple explanation, technical/interview-depth explanation, tiny runnable code example, interview Q&A, common pitfalls). ONLY trigger on explicit invocation by name — e.g. "concept explainer: X", "use concept explainer for X", or "/concept-explainer X". Do NOT activate for general questions on this topic: if the user simply asks about a concept in normal conversation without naming this skill, do not use it.
   0 installs
6. ▌
   Code Review Mentor · laabidi-ahmed-ai

   A teaching-focused code reviewer for ML/MLOps code (FastAPI endpoints, training scripts, data pipelines, Dockerfiles, configs). Restates what the code does, reports findings ranked by severity (correctness → security → MLOps best practices → style) each with the reasoning and a fix, and adds an interview angle. ONLY trigger on explicit invocation by name — e.g. "code review mentor: <code>", "use code review mentor", or "/code-review-mentor". Do NOT activate for code pasted in normal conversation unless the user names this skill.
   0 installs
7. ▌
   System Design Mlops · laabidi-ahmed-ai

   Designs an end-to-end MLOps system for a task you give it — clarifies requirements, walks the pipeline (data → training → serving → monitoring → CI/CD), justifies each component choice with tradeoffs and alternatives, draws the flow, and frames it as an interview answer. ONLY trigger on explicit invocation by name — e.g. "system design mlops: <task>", "use system design mlops", or "/system-design-mlops <task>". Do NOT activate for general questions unless the user names this skill.
   0 installs
8. ▌
   PDF Mlops Explaining · laabidi-ahmed-ai bundle

   Explains ANY MLOps-engineer-path subject (a tool, concept, stage, or comparison) at calibrated depth — full treatment for core topics, one or two sentences for peripheral ones — and renders it as a downloadable PDF saved to ./output/<subject-slug>.pdf so the user builds a personal reference library. ONLY trigger on explicit invocation by name — e.g. "pdf mlops explaining: X", "use pdf mlops explaining", or "/pdf-mlops-explaining X". Do NOT activate for general questions on these topics: if the user hasn't named this skill, do not use it.
   0 installs