Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Release a native macOS app to GitHub with DMG packaging and Sparkle appcast updates. Use this skill whenever the user wants to publish a new version, create a release, ship an update, push a release to GitHub, or update the appcast. Also trigger when the user mentions DMG creation, Sparkle signing, notarization, archiving, or anything related to distributing a new version of their macOS app. This covers the full release pipeline: archive, notarize, export, create DMG, sign with Sparkle EdDSA, update appcast.xml, git push, and GitHub release creation.
Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".
Pick Lucide icons for a concept, UI placement, or vault note. Searches the full Lucide catalog for real, verified icon names. Use when the user says 'what icon for X', 'suggest a Lucide icon', 'pick an icon', or needs an icon for note frontmatter, a button, or a section header.
Termination review — high-risk flag detection, severance + release, and final pay timing by jurisdiction. Jurisdiction-specific rules and release consideration periods are researched per review, not stored. Use when the user says "reviewing a termination", "can we fire this person", "term review", or describes a termination scenario.
Set up a hierarchical Intent Layer (AGENTS.md files) for codebases. Use when initializing a new project, adding context infrastructure to an existing repo, or when the user asks to set up AGENTS.md, add an intent layer, make agents understand the codebase, or scaffold AI-friendly project documentation.
Offline-capable, agent-native Linear CLI with SQLite-backed sync, FTS5 search, cross-cycle comparison, project... Trigger phrases: `what's on my Linear plate today`, `Linear sprint plan for the team`, `Linear cycle comparison`, `Linear burndown for the project`, `which Linear milestone is at risk`, `stale Linear issues`, `clean up the Linear test tickets I created`, `use linear-pp-cli`, `run linear-pp-cli`.
Typography pass covering font choice, modular scale, tracking, leading, weight hierarchy, and micro-typography details. Use when fonts feel generic (default Inter with no reason), the scale is ad hoc, hierarchy is flat, or the user says "fix the typography" / "the text doesn't feel right". Invoke when the user asks for typeset on their UI, or mentions 'typeset' alongside design / UI / frontend work.
The user asks a question about a video that was already watched or indexed—“what did they say about X”, “what error code appears”, “what happens at 2:30”, “does the video show Y”. Use this to answer from the persistent index with timestamped evidence and a confidence score instead of re-watching or guessing.
Beta readers for any draft, run by simulating how a real reader experiences it, moment by moment. A skim gate, a no-lookahead timed read producing an attention transcript with quit points, a recall test of what a reader remembers the next day, and a trust ledger of the implied author. Use when the user asks for a beta read, beta readers, test readers, human review, reader review, to read something like a human, to be a first reader, whether a piece holds attention or will actually get read, for a quick read of whether a busy skimmer would even open a post, what readers will remember or take away tomorrow, where readers stop reading or bounce, or why a draft still feels off or hollow after anti-slop or humanizer edits. Final gate before publishing; reports where the reading broke; never rewrites.
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
Generate a HANDOFF.md that captures the goal, current state, files touched, failed attempts, and next steps so a fresh Claude session can continue exactly where this one left off. Use when sessions are getting long, Claude keeps retrying the same broken solution, or the user wants to step away and resume later.
Grade an IRAC essay for structure, issue-spotting, rule accuracy, analysis depth, and organization. Does NOT rewrite the essay or show a model answer; tracks patterns across sessions. Use when the user says "grade my IRAC", "check my essay", or "I wrote this, give me feedback".
Drafts publishable paper prose from the author's own materials, from a single paragraph to a full manuscript, across STEM and non-STEM fields. Every factual claim traces to user input, verified retrieval, or field common knowledge; citations pass an independent verification ladder; delivery is clean prose with zero placeholder tags. Use when the user asks to write a section, turn an idea or results into paper text, or draft a full paper.
Author and maintain versioned Playwright (@playwright/test) TypeScript UI specs for browser user flows. Use when asked to create, run, debug, or refactor E2E tests, form/navigation/auth flows, responsive checks, UI mocking, fixtures, Page Objects, or visual comparisons. Use api-testing for standalone REST/GraphQL contracts and playwright-cli for live browser sessions. Keywords: E2E spec, Playwright test, POM, fixtures, UI regression
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes memory architecture with pre-compaction flush (so context survives when the window fills), reverse prompting (surfaces ideas you didn't know to ask for), security hardening, self-healing patterns (diagnoses and fixes its own issues), and alignment systems (stays on mission, remembers who it serves). Battle-tested patterns for agents that learn from every interaction and create value without being asked.
Trace how a contract has changed across its base agreement and all amendments — either a summary of all changes over time, or a provision trace for a specific clause. Use when the user says "what changed in this contract over time", "show me the amendment history", "where's the latest [clause]", "how has [provision] evolved", or uploads multiple versions of an agreement.
Triage Antithesis test reports to understand what happened in a run: look up runs, check status, investigate failed properties (assertions), view metadata, download logs, search events across all timelines, inspect findings, and examine environmental details. Load after a run completes, to follow a live run, or when investigating a failure.
UX copy review across buttons, errors, empty states, and form hints — critiques by default, applies only on request. Use when copy feels vague, generic, or AI-sounding, or when the user says "fix the labels", "improve error messages", or "review the copy". Invoke when the user asks for clarify on their UI, or mentions 'clarify' alongside design / UI / frontend work.
Read VDR documents and extract issues per house categories and materiality thresholds, producing findings in house memo format. Use when user says "review the data room", "extract issues from [folder]", "diligence review", "what's in the VDR", or points at VDR documents.
Turn founder notes and metrics into investor-ready pitch decks with a tight storyline, one-idea slides, and chart-first evidence. Use when the user asks for a pitch deck, fundraising deck, investor presentation, or startup deck (not populating an existing PowerPoint template). Create pitch decks with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Implement Syncfusion React Sparkline components for compact, inline data visualization. Use this when working with sparklines, mini charts, or trend indicators in constrained spaces. This skill covers all 5 sparkline types (line, column, area, win-loss, pie), tooltips, markers, data labels, range bands, axis customization, and themes. Ideal for displaying data trends within grids, dashboards, or tables without full-sized charts.
Creates comprehensive Technical Design Documents (TDD) with mandatory and optional sections through interactive discovery. Use when user asks to "write a design doc", "create a TDD", "technical spec", "architecture document", "RFC", "design proposal", or needs to document a technical decision before implementation. Do NOT use for README files, API docs, or general documentation (use docs-writer instead).
Trademark clearance first pass — knockout + similar-marks check producing a flag list, not a clearance opinion. Use when a new mark is proposed, when asked whether a mark is available or to run a knockout search, or when assessing likelihood-of-confusion factors before a full professional search. This skill never concludes a mark is clear.
Recover actionable context from local `.claude` session artifacts and continue interrupted work without running `claude --resume`. This skill should be used when the user provides a Claude session ID, asks to continue prior work from local history, or wants to inspect `.claude` files before resuming implementation.
The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this recording", "turn this screen recording into a bug report", "how strong is my intro/hook". Use this for deterministic extraction from the index — chapters with timestamps, a fileable bug report with the exact frame, or a scored hook analysis.
How to create topics, submit messages, and subscribe to real-time message streams on Hedera using the Hiero JavaScript SDK (@hiero-ledger/sdk). Use this skill whenever the user wants to work with Hedera Consensus Service (HCS), including topic creation, message submission, pub/sub messaging, mirror node subscriptions, chunked large messages, topic fees, or any consensus-related operation in JavaScript or TypeScript. Also trigger when users mention @hashgraph/sdk topic operations, event logging on Hedera, decentralized messaging, audit trails, or ordered message streams.
Review an offer letter and any restrictive covenants — jurisdiction check included. Substantive rules (covenant enforceability, pay transparency, salary-history limits, exemption criteria) are researched per hire, not stored. Use when the user says "review this offer", "can we use a non-compete here", "check this offer letter", "hiring in [state]", or attaches an offer.
Turn event briefs into wall- or screen-ready posters with headline zone, hero visual intent, and scannable logistics — not programs, slide decks, or handout flyers. Use when the user asks for an event poster, concert poster, festival promo, exhibition poster, meetup banner, or large-format promo. Create event posters with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Monitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required. Use this skill whenever the user asks to "monitor my host/server/VM", "monitor my Docker containers", "monitor my Kubernetes cluster", "send infrastructure metrics to Logfire", "watch my database/Postgres/Redis/MongoDB/Kafka", "collect cloud metrics" (AWS/GCP), or mentions the OpenTelemetry Collector in the context of Logfire. This is infrastructure only — for instrumenting APPLICATION CODE (traces, logs, AI/agent spans) use the logfire-instrumentation skill instead.
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.