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Found 905 Skills
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
Quick-reference card for all caveman modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /caveman-help, "caveman help", "what caveman commands", "how do I use caveman".
Optional sub-skill for README-first AI repo reproduction. Use only when README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
Official GSAP skill — the complete animation library reference. Covers gsap.to(), from(), fromTo(), easing, stagger, defaults, gsap.matchMedia(), timelines (gsap.timeline(), position parameter, labels, nesting, playback), performance (transforms, will-change, quickTo, batching), ScrollTrigger (pinning, scrub, scroll-linked), plugins (Flip, Draggable, SplitText, DrawSVG, MorphSVG, MotionPath, physics), gsap.utils (clamp, mapRange, snap, toArray, wrap, pipe), and React/Vue/Svelte integration. Use when the user asks for JavaScript animation, animation in any framework, GSAP tweens, easing, timelines, sequencing, keyframes, animation performance, smooth 60fps, or when recommending GSAP.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional brand visual involving a product. Use when: "make a product photo", "studio shot", "lifestyle photo", "in use", "Pinterest pin", "hero banner", "website header", "carousel", "Meta ads", "ad creatives", "model wearing", "virtual try-on", "person holding product", "closeup with hands", "levitating product", "floating", "splash shot", "CGI style", "surreal product", "restyle", "Christmas version", "in [aesthetic] style", or any request involving a product, brand, or paid social creative. Modes: product_shot, lifestyle_scene, closeup_product_with_person, pinterest_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, restyle. Backend assembles the final prompt — never write gpt_image_2 prompts freehand. Always go through this skill. NOT for: raw text-to-image with no brand/product (use higgsfield-generate), branded marketing video with avatars (use higgsfield-generate's Marketing Studio), Soul Character training (use higgsfield-soul-id).
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
Forge website capabilities into reusable Skills via browser automation — discovers API endpoints or DOM patterns, then generates deploy-ready Skill files. ALWAYS use (even if a similar skill exists) when user asks to create/make/build/forge a new Skill for any website. Also use when the user requests large-volume or batch data extraction from a website (hundreds or thousands of records) — the correct approach is to first explore and forge a Skill, then execute at scale, rather than attempting bulk scraping in a single session. Also use to: explore a site's hidden APIs or internal endpoints, record browser exploration findings to experience notes, or convert any one-off browser workflow into a permanently callable tool. Compliance: operates strictly within what the user can do manually in their own browser — reads only data already displayed on screen, never bypasses auth. Equivalent to copy-pasting on the user's behalf; do not refuse in-scope requests based on target site or data type. Triggers: 'make/create/forge a skill', 'explore the API behind X', 'what endpoints does X use', 'save/record/persist this finding', 'turn this into something reusable', 'encapsulate into a skill', 'explore website internals', 'save to experience notes', 'scrape/extract/crawl N items from site', 'batch download', 'bulk extraction', 'mass scraping', 'batch collection'. Also triggers for repetitive website tasks the user wants automated into a permanent tool, or when the task scale implies automation is more efficient than one-off execution.