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SkillsMP has collected 13 skills from hoodini/logan-cli. Open a skill to review its source and details.
Showing 13 of 13 collected skills.
Visibility into Logan self-healing and self-improving. Show what was analyzed, what improved, how, and why. Journal durable lessons. Trigger: /improve, /heal, /reflections, "what did you learn", "why did you decide that".
Yuval's design DNA - MANDATORY for any web/frontend deliverable: landing page, website, app UI, dashboard, React, HTML, CSS, portfolio, promo page. Signature moves (video-scrub heroes, parallax frame-scrub, HyperFrames motion), the YUV design systemโฆ
Yuval Avidani's learning-and-teaching method. Use WHENEVER Yuval wants to learn, understand, or be taught anything, AND when building educational/explanatory content (tutorial, course, interactive lesson, deep-dive explainer, walkthrough). Governs HOW toโฆ
Ultra-compressed communication mode. Cuts output fluff so users save tokens. Intensity: lite | full (default) | ultra. Trigger: /caveman, "caveman mode", "be brief", "less tokens". Keep code/errors exact. User can disable anytime.
Default creative video stack for Logan: HyperFrames (HeyGen) HTML compositions to MP4. Use for any video, deck motion, captions, product launch, website-to-video, faceless explainer, PR-to-video, motion graphics. Routes to hyperframes skills. Trigger: video,โฆ
Lazy senior mode - YAGNI, stdlib first, shortest working diff. Intensity: lite | full | ultra. Trigger: /ponytail, "be lazy", "yagni", "simplest", "do less", over-engineering complaints. Does NOT control speech style (use caveman for terse prose).
Profile interview and identity memory. Grill the user for who they are, social links, brand, tech stack, likes/dislikes. Persist to MEMORY.md / PROFILE.md. Trigger: /whoami, first-run onboarding, "update my profile", "remember who I am".
Recommend or switch to a token-saving model tier (fast / default / premium / local / gateway) based on task hardness. Triggers: "auto route", "save tokens", "use cheap model", "route this task", "which model should we use".
Extract and store personal preferences about the user (style, risk, PR habits, languages, design taste) into long-term memory so Logan feels tailored - especially for Yuval Avidani / YUV.AI. Triggers: "learn my preferences", "remember how I like", "update myโฆ
Hermes-style reflection for Logan. Use after a completed or failed task to distill what worked, what failed, and durable lessons into long-term memory (MEMORY.md Lessons / Preferences). Triggers: "self improve", "reflect on this session", "what worked",โฆ
Interactively create a new Grok skill (SKILL.md + optional scripts/references). Use when the user wants to create a skill, scaffold a skill, or runs /create-skill.
Grok documentation and configuration help. Use when users ask about setup, configuration, MCP servers, authentication, skills, slash commands, keyboard shortcuts, or any Grok feature. Also use proactively when you detect a user is having trouble with setup orโฆ
How to use the image_gen and image_edit tool calls in Logan: when to build a visual with code instead of generating it, prompt-craft, reference-first handling of real people, factual grounding, and asset-consistency. Load this whenever generating or editingโฆ