awesome-agent-skills
SolidProduction-grade agent skills for Claude Code and any SKILL.md-compatible AI agent. Each skill is mined from real corpora, official docs, and books. Install as a plugin or drop into any agent.
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Everything this plugin ships — skills, agents, commands, hooks, and MCP servers it bundles.
Skills (10)
awesome-readme
Write awesome-list-worthy README.md files for GitHub repositories — project READMEs (library, CLI, app, research, template) and GitHub profile READMEs (username/username repo) — with prose that reads as human-written, not AI-generated. Covers section selection, shields.io badge stacks, banner/logo/GIF guidance, TOC patterns, expandable `<details>` blocks, back-to-top anchors, contributor widgets (contrib.rocks, star-history), typing SVGs, GitHub-readme-stats cards, Standard-Readme spec compliance, README-Driven-Development workflow, and a full anti-AI-slop audit pass on every draft (integrates the humanizer skill's Wikipedia "Signs of AI writing" patterns tuned for README prose). Triggers when user asks to generate, write, improve, refactor, humanize, or audit a README; wants badges, TOC, logo placement, demo GIF, feature list, install/usage blocks, contributing section, roadmap, "getting started", or profile README with stats/typing SVG/snake animation. Keywords - readme, README.md, github readme, profile re
creative-director
Creative-director knowledge base distilled from 16 books on advertising, creative leadership, idea generation, taste, typography, visual literacy, and information design, plus an evaluation engine adapted from smixs/creative-director-skill. Use when writing or critiquing copy/ads/headlines/campaigns, generating creative ideas or concepts, mining a consumer insight, scoring/evaluating or refining a concept to a quality bar, leading and giving feedback to creative teams, handling difficult conversations, shaping team culture, or developing taste, vision, and creative judgment. Routes to one of five role toolkits (Copywriter, Idea Generator, Creative Leader, Visionary, Evaluator) and loads only what the task needs.
ffmpeg
Complete FFmpeg reference and toolkit, distilled from the official FFmpeg documentation (ffmpeg/ffplay/ffprobe + codecs, formats, filters, protocols, devices, libraries). Use when building or debugging FFmpeg command lines: transcoding, remuxing, stream copy, cutting/trimming, concatenation, scaling/cropping/padding, frame-rate and pixel-format conversion, audio resampling/mixing, filtergraphs (-vf/-af/-filter_complex), overlays, drawtext/subtitles burn-in, HLS/DASH segmenting, screen/webcam capture, piping, hardware accel (NVENC/QSV/VAAPI/VideoToolbox), and choosing encoder options (libx264/libx265/aac/libmp3lame/etc.). Keywords - ffmpeg, ffplay, ffprobe, transcode, remux, filtergraph, vf, af, filter_complex, map, stream specifier, codec, muxer, demuxer, hls, scale, overlay, concat, crf, bitrate, gop, pix_fmt.
geo-ai-visibility
GEO (Generative Engine Optimization) / AI Visibility knowledge base: how to get content cited and mentioned by ChatGPT Search, Perplexity, Google AI Overviews/AI Mode, Copilot, and Gemini. Covers the founding GEO research (Princeton/Georgia Tech paper, technique impact data), how generative answer engines retrieve/rank/cite sources (RAG pipelines), concrete optimization techniques (quotation/statistics addition, structured data, entity-based content, llms.txt), AI-visibility measurement tooling (Profound, Peec AI, Otterly.AI, AthenaHQ), GEO vs. traditional SEO, case-study data (zero-click search, citation concentration), and cross-source consensus/best-practice checklists distilled from GEO research and practitioner videos. Use when planning content/site strategy for AI answer engines, auditing a page or article for AI citability, explaining GEO/AEO/LLMO terminology, choosing an AI-visibility tracking tool, or reasoning about why content does/doesn't get cited by an LLM-based search product.
llm-wiki
Use when user wants to build/maintain a personal knowledge base in Obsidian using the LLM Wiki pattern (Andrej Karpathy). Triggers on "obsidian", "llm wiki", "/llm-wiki", "init wiki", "ingest sources", "compile knowledge base", "inizializza wiki", "second brain", "pkm", or when working in a directory containing an Obsidian vault (`.obsidian/` folder) and user references knowledge-base, research-notes, or wiki accumulation work. Also use when user asks about RAG alternatives for curated personal corpora.
marketing-mba
MBA-level marketing and startup knowledge base — segmentation, positioning, pricing, the 4Ps, value proposition design (the Four U's, the Three D's, MVS), business model design, product-to-company roadmap, B2B sales pipeline, negotiation, pitching, and founder/leadership frameworks. Use when defining a value proposition, segmenting a market, setting pricing strategy, designing a go-to-market plan, building a pitch deck, structuring a sales process, or reasoning through founder/startup-execution decisions.
public-speaking-persuasion
Knowledge base on public speaking, persuasion theory, storytelling, argumentation, and cognitive bias. Use when structuring a speech or pitch, applying persuasion frameworks, handling objections or a hostile audience, writing persuasively, or referencing named techniques like the 3 Pillars of Persuasion, the 5-Line Story Structure, or logical fallacy/bias catalogs.
social-algorithm
Knowledge base for organic personal brand systems and Instagram algorithm dynamics. Use for indirect selling, IG content strategy, client acquisition funnels without ADV, creator delegation systems, and personal brand scaling.
ux-ui-expert
UX/UI research and design knowledge base: study plans, research roadmaps, the researcher's project cycle, usability-testing/card-sort/diary-study sample sizes, small-sample reporting, experimental design, research ethics (Belmont Report), stakeholder leadership/influence, the UX/UI/CX distinction with user-centred design principles, ROI of UX, the Double Diamond process, user flow diagrams, common beginner UI mistakes, visual/interaction design fundamentals (hierarchy, grids, typography, color, states), designing around user intent, and the psychology behind UI/UX (cognitive load, conditioning, reinforcement, hedonic adaptation, goal gradient effect, peak-end rule, labor illusion, Von Restorff effect, choice overload). Use when planning UX research/design work, choosing methods/sample sizes, writing recommendations, leading stakeholders, scoping UX vs. UI vs. CX, building a business case for UX, mapping a user flow, reviewing a UI for mistakes, applying visual design fundamentals, or reasoning about how a des
video-editor
Software-agnostic system for editing short-form and long-form video for retention, rhythm, clarity, narrative impact, perceived quality, and shareability. Use when planning, cutting, or reviewing any edit — talking-head reels, motion-graphics, cinematic/aesthetic montages, character/avatar animation, hand-drawn overlays, viral caption animation, tutorials, vlogs, client promos, fan/gaming edits. Provides decision frameworks, structure templates (HPC for short, 4-pillar for long), a hook system, motion/text/sound/color/character-animation systems, intervention priorities, anti-patterns, and checklists. Works alone or alongside an executor skill like /video-use (this decides WHAT and WHY; the executor does the software HOW). Distilled from 25 expert breakdowns; tool-neutral. Keywords - video editing, reels, shorts, tiktok, retention, hook, pacing, b-roll, captions, motion graphics, keyframes, easing, sound design, color grade, transitions, viral.
Quality Score: 69/100
Details
- Author
- fralapo
- Repository
- fralapo/awesome-agent-skills
- Created
- 5 months ago
- Last Updated
- 1 weeks ago
- Language
- N/A
- License
- MIT