Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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Keep Figma and code in sync. Map the 3-tier DTCG tokens to Figma Variables (collections + modes), sync in either direction, use the Figma MCP when connected, and verify component parity (variants/states). Use when the user wants to push tokens/components to Figma, pull a design into code, set up token↔Variable sync, or check design-code drift
Fixes flaky tests by analyzing failure patterns from Tuist test insights, identifying root causes, and applying targeted corrections. Can be invoked with a specific test case URL (e.g. `https://tuist.dev/{account}/{project}/tests/test-cases/{id}`) or without arguments to discover and fix all flaky tests in the project.
Use when creating, running, or debugging elastic-package tests — pipeline fixture authoring and expected output, system tests with mock API wiring, and script tests for failure paths and upgrades. Load the reference file for the test type you are working on.
LinkedIn agent that helps you enrich LinkedIn profiles. You provide a LinkedIn URL and it will return its data from LinkedIn, in a structured JSON format. Use this skill when the user needs LinkedIn via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.
Create and manage scheduled PostHog subscriptions for insight snapshots, dashboard snapshots, and AI prompt reports. Use when a user wants recurring email, Slack, or Microsoft Teams delivery; an AI summary; delivery history; schedule or recipient changes; a test delivery; pause, resume, or deletion; or help with subscription permissions, limits, billing, and failures. Use product alerts when delivery must depend on a threshold or anomaly.
Create a real, editable slide deck on Moda — slide pages on a live canvas, exporting native PPTX with real shapes and text layers, or a text-layer PDF — not screenshots in python-pptx. Use for: deck, slides, presentation, pitch, keynote, QBR, board update, "turn this doc/repo/notes into slides". NOT: an existing .pptx in hand → moda-deck-pptx; "animate these slides" or a motion version → moda-video
Video, motion, and animation on Moda — anything delivered as mp4 or gif. Use for: "make a video", "animate this", "make it move", "animated version", animated ad/post/banner, motion graphic, animate a logo. Generated clips (prompt-to-video, image-to-video, extend, upscale, reframe) → moda-video-clip; canvas motion, timeline cuts and transitions, slideshows, gif/mp4 export → moda-video-motion; a real-footage folder → moda-video-footage.
Build and publish a live website hosted on Moda — a real multi-page site at a public *.moda.page URL, editable and re-publishable. Use for: website, site, web page, landing page, marketing site, portfolio, homepage, "put this on the web", updating or re-publishing a moda.page site. Site verbs are free. NOT: a picture of a page → moda-mockup; a printable page → moda-document; slides → moda-deck
Delegate a coding task to Muse Code (`muse`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Muse — phrasings like "have Muse do X", "delegate this to Muse", "run it through Muse", or "use Muse to implement/fix/refactor" — or wants to run a queue of coding tasks through Muse while staying the reviewer. Prefer it when the user will review the diff and commit it themselves. It applies only when the user wants that separate `muse exec` implementer run: if you are Muse yourself and the user simply asks you to write the code, do it directly. DO NOT USE for tasks small enough to do inline.
Compatibility alias for `video-production` when a prompt, setup surface, or legacy workflow explicitly asks for Remotion video production. Use when the request names Remotion, React-based video rendering, compositions, scene components, or a legacy `remotion-video-production` catalog entry, but the real workflow is still the canonical programmable-video lane. Prefer `video-production` for general use. Triggers on: remotion-video-production, Remotion render pipeline, React video composition, migrate old Remotion skill.
Retrieve citation-grade academic literature from Sciverse. Use when an agent needs structured paper metadata search, semantic paper chunk retrieval for RAG, source text expansion around a paper offset, or figure/table image fetching from scientific papers. Prefer this skill for peer-reviewed and preprint literature tasks that require doc_id/title citations and reproducible retrieval steps.
Meta-skill for making the agent self-improving. Covers updating AGENTS.md, creating new skills from repeated workflows, and deciding what to systematize. Invoke after completing tasks, when noticing repeated friction, or at session end.
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cricket-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
Binary hardening skill for security-hardened C/C++ builds. Use when enabling RELRO, PIE, stack canaries, FORTIFY_SOURCE, CFI sanitizers, shadow stack, or seccomp-bpf syscall filtering. Covers checksec analysis, compiler and linker flags for hardened builds, and NSA/CISA-recommended mitigations. Activates on queries about binary hardening, checksec, RELRO, PIE, stack canaries, FORTIFY_SOURCE, CFI, shadow stack, or seccomp.
Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.
DWARF debug format skill for understanding debug information. Use when inspecting DWARF sections with dwarfdump, working with split DWARF (.dwo files), setting up debuginfod for remote symbol resolution, or understanding how DWARF interacts with LTO and symbol stripping. Activates on queries about DWARF, .debug_info, .debug_line, dwarfdump, split DWARF, .dwo files, debuginfod, or debug info stripping.
Turn a chemical reaction into a self-contained microscopic 3D interactive demo webpage: Three.js interactive molecule animation on the left/top (drag sliders to see bond breaking, bond formation, and atom rearrangement, highlighted step by step); KaTeX reaction equation, step-by-step explanations, atom conservation counts, and an optional energy-reaction progress curve on the right. Supports three entry points: provide a text reaction/equation, generate a random question, or upload an image for recognition and demonstration. Covers combustion, synthesis/decomposition/single and double displacement, redox (visualized electron transfer), and organic mechanisms (such as esterification, including catalysts and transition states). Driven precisely by sympy throughout: automatically balances equations, verifies atom conservation and atom mapping, and derives bond breaking/formation, keeping answers and geometry consistent from the same source. Includes two engines with automatic selection: morph (atom transformation, demonstrating atom conservation) and mechanism (mechanism keyframes, demonstrating catalysts/transition states). Hybrid geometry: uses a built-in VSEPR molecule library by default; if RDKit is installed in the environment, it can generate conformations from SMILES (never installs it automatically). Other agents can also call this skill to generate such webpages. Its form parallels edu-solid-geometry / edu-analytic-geometry, but uses Three.js + KaTeX to demonstrate molecular reactions. Trigger terms: chemical reaction, microscopic demo, molecular animation, combustion, methane combustion, hydrogen combustion, water electrolysis, redox, electron transfer, esterification, reaction mechanism, bond breaking and formation, atom conservation, mass conservation, balance a chemical equation, solve this chemical reaction, generate a random chemical reaction, chemical reaction in this image; chemistry reaction, microscopic/molecular animation, combustion, electrolysis, redox electron transfer, esterification mechanism, bond breaking and forming, atom conservation, balance equation, interactive chemistry reaction page.
Use when building a Kubernetes operator or CRD (controller-runtime, kubebuilder, operator-sdk, KOPF), before writing the controller. Validates CRDs with crd_validator.py, lints reconcile loops with reconcile_lint.py and scores OperatorHub capability level
Smart money concept (SMC / ICT) signal engine — identifies BOS (break of structure), ChoCH (change of character), FVG (fair value gap), order blocks, and liquidity grabs, and determines institutional money direction. Depends on the smartmoneyconcepts library. Triggers: "smart money", "SMC", "ICT", "order block", "BOS", "ChoCH", "FVG", "break of structure", "liquidity grab", "institutional money", "fair value gap", "ICT trading".
Cartographic principles for MapLibre GL JS — label and symbol legibility on imagery vs. vector basemaps, figure-ground for point icons, styling vector roads over aerial imagery, visual hierarchy, layer ordering for data injection, and accessibility. Use when styling a map, choosing text or symbol colors, making markers or roads readable on satellite/aerial imagery, or ordering layers correctly
Boxes-and-arrows diagrams on Moda with anchored connectors: flowchart, org chart, architecture, decision tree, swimlane, journey map, 2x2, quadrant, market map. Use for: “diagram this”. NOT: data charts → moda-chart; UI screens/wireframes → moda-mockup; a decorative shape graphic (a circle with a caption) → moda-social; a diagram for a deck/document being built stays with that skill.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Update skills, migrate skill copies left in the working repository, and compare canonical skills, symlinks, and the skill list. Defines how to check and update home skills with npx skills, suggest removing philtzjp/skills copies, handle local modifications, and check consistency between repository-specific skills and philtzjp/skills. Use when starting work, pulling skills from upstream again, finding a skill in .agents/skills or .claude/skills with the same name as one in philtzjp/skills, or adding, deleting, or renaming skills.
Use when a text brief or reference image must become a Blender blockout whose playblast guides a render-to-real video pass (a video model that takes a reference clip, such as Seedance, or the Render Video lane of the Scenario Blender Plugin): graybox or previs built for a video model; color-coded proxies at metric scale from rough to detailed; density levels from a simple shot to an expert scene with crowds, traffic, and many cuts; character stand-ins chosen per video model (colored capsules, capsules with signature features, rigged gray mannequins); a camera locked to the timeline; rail or tracking camera rigs; lens per shot; framing and occlusion checks; a playblast; a hand-off sheet for the video prompt. Also use when a render-to-real pass renders proxies as boxes, reads one figure as two people, gives runners a stiff, lockstep, or sliding gait, swaps a car's front and rear, drifts at the end, or the guide camera pops on a cut.
Detect malicious patterns in AI Agent skills — 13 detectors for backdoors, credential theft, data exfiltration, and supply-chain attacks. Based on SlowMist's ClawHub threat intelligence (472+ malicious skills). Pure Python, zero dependencies.
Tactical user interface design guide for fixing layouts, selecting colors/fonts, and creating professional UIs. Use when the user asks to “make this look better,” needs help with CSS/styling decisions, wants to create a design system, or needs to fix a cluttered interface.
Runs adversarial due diligence on a benchmark the user envies — a founder, KOL, company, or product whose success looks inflated — separating marketing hype from real signal, then mapping the validated playbook to the user’s own resources. Use to investigate, benchmark, or dissect a competitor; borrow their playbook; or question inflated claims. Prefer over deep-research when debunking inflated claims rather than preparing a neutral briefing
Convert websites into LLM-ready data with Firecrawl API. Features: scrape, crawl, map, search, extract, agent (autonomous), batch operations, and change tracking. Handles JavaScript, anti-bot bypass, PDF/DOCX parsing, and branding extraction. Prevents 10 documented errors. Use when: scraping websites, crawling sites, web search + scrape, autonomous data gathering, monitoring content changes, extracting brand/design systems, or troubleshooting content not loading, JavaScript rendering, bot detection, v2 migration, job status errors, DNS resolution, or stealth mode pricing.
Expert blueprint for procedural content generation (dungeons, terrain, loot, levels) using FastNoiseLite, random walks, BSP trees, Wave Function Collapse, and seeded randomization. Use when creating roguelikes, sandbox games, or dynamic content. Keywords: procedural, generation, FastNoiseLite, Perlin noise, BSP, drunkard walk, Wave Function Collapse, seeding
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.