Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
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Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization.
Agentforce session tracing extraction and analysis. TRIGGER when: user extracts STDM data from Data Cloud, analyzes agent session traces, debugs agent conversations via telemetry, or works with .parquet files from Agentforce. DO NOT TRIGGER when: testing agents (use sf-ai-agentforce-testing), Apex debug logs (use sf-debug), or building agents (use sf-ai-agentforce).
Fetch the current tenant's allowed entitlements (BackgroundCheckTarget list). Returns JSON `{"allowedChecks":{key:label}}` — a map whose keys are the enabled entitlement keys. Called by sumsub-create-level (and other create-* skills) before building a payload to gate entitlement-required features.
Use when setting up collision channels and profiles, running line/sweep/overlap queries, wiring hit and overlap events, or simulating rigid bodies in Unreal Engine C++. Also use when the user mentions 'collision channel', 'collision profile', 'LineTraceSingleByChannel', 'SweepSingleByChannel', 'OverlapMultiByObjectType', 'FHitResult', 'FCollisionQueryParams', 'FCollisionShape', 'OnComponentHit', 'OnComponentBeginOverlap', 'SetCollisionProfileName', 'SetSimulatePhysics', 'AddRadialImpulse', 'ragdoll', 'Chaos solver', 'ECC_GameTraceChannel1', or 'my overlap never fires'. For component attachment, see ue-actor-component-architecture; for capsule floor checks, see ue-character-movement
Dense dashboard / admin / Bloomberg / Retool / data-heavy internal tools. Locked knobs: CRAFT=7, MOTION=3, DENSITY=9. IBM Plex + mono numbers, semantic palette, 4/8px grid, sparklines, tabular-nums. Trigger on: dashboard, admin panel, data-dense, analytics, Bloomberg-like, Retool-like.
Apply when working with GraphQL schema files in graphql/ or implementing resolvers in node/resolvers/ for VTEX IO apps. Covers schema.graphql definitions, @cacheControl and @auth directives, custom type definitions, and resolver registration in the Service class. Use for exposing data through GraphQL queries and mutations with proper cache control and authentication enforcement.
Send Google Chat messages via incoming webhooks — text, rich cards (cardsV2), threaded replies. TypeScript types, card builder utility, widget reference inline. Use whenever the user wants to post to Google Chat from a script, build a chatbot reply, send a notification card, build a Google Chat webhook integration, or troubleshoot card / threading issues.
Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.
Add missing test coverage for your local code changes by generating new test files. Covers uncommitted and untracked changes, or the latest commit if everything is committed. Use when you want to write tests for new logic or increase test coverage.
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
Use when hardening Go code at API boundaries — copying slices/maps, verifying interface compliance, using defer for cleanup, time.Time/time.Duration, or avoiding mutable globals. Also use when reviewing for robustness concerns like missing cleanup or unsafe crypto usage, even if the user doesn't mention "defensive programming." Does not cover error handling strategy (see go-error-handling).
Connects an existing, active Agentforce agent to a channel by resolving a fallback queue, setting up inbound routing (either PATCH SessionHandlerId on the MessagingChannel, or an inbound RoutingFlow for Voice/Email), and optionally configuring outbound escalation. Use when the user wants to add a channel to an existing agent, connect an agent to a messaging or voice channel, route Voice or Email-to-Case to an Agentforce agent, or set up a fallback queue for an agent channel. Also applies to an existing Help Agent. The channel infrastructure must already exist — this skill adds routing. DO NOT TRIGGER when the agent does not yet exist or still needs Help Agent setup (use agentforce-generate or service-helpagent-coordinate), when setting up Email-to-Case with an agent end-to-end (use service-email-to-case-configure), when creating the MessagingChannel itself (use service-digital-engagement-channel-configure), or when creating an Embedded Service Deployment (use service-digital-engagement-deployment-configure).
Build a threat model for a target codebase. Three modes: "interview" walks an application owner through the four-question framework and produces a threat model from their answers; "bootstrap" derives a threat model from the code plus past vulnerabilities (CVEs, git history, pentest reports) when no owner is available; "bootstrap-then-interview" chains the two when both owner and codebase are present. All write THREAT_MODEL.md in a shared schema. Use when asked to "threat model", "build a threat model", "map the attack surface", or "what should we be worried about in this codebase".
Capability vision maintenance. Triggers: drafting, backfilling, or updating requirements, or when design/acceptance needs a req delta. Do not use for a single feature implementation plan (cs-feat design), large requirement breakdown and scheduling (cs-epic), open-ended brainstorming (cs-brainstorm), or domain terminology/ADR modeling (cs-domain).
Use when writing or reviewing Kotlin coroutine scope ownership, raw Thread or Executor work, init launches, non-suspending launch APIs, runBlocking, cancellation, StateFlow, SharedFlow, Channel, stateIn, SharingStarted, state updates, or one-shot events
Guides human users’ AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.
Intelligently recognizes image content and generates visual comparisons in an “ideal promise vs. harsh reality” style. Triggers: “anti-render,” “ideal vs. reality,” “comparison image,” “render vs. real.” Suitable for any domain: architecture, portraits, products, food, travel, gaming, fitness, home, technology, and more.
Research a game, engine or modding technique on the open web with archive-aware, rate-limit-safe searches — Wayback Machine/archive.today for dead forums (XeNTaX, Zenhax, old threads), GitHub code/repo search, Nexus/Steam Workshop/Thunderstore APIs, Reddit JSON, YouTube transcripts, plus archive snapshots as evidence. Use when starting work on a game ("how did people mod X before?"), when a documented tool/link is dead, when forum threads are login-gated (semi-auto handoff to the human), and before writing a field note so claims carry source URLs.
Remediates Google Cloud Security Command Center findings, including IAM permission fixes, cloud resource misconfigurations, vulnerabilities, and Toxic Combinations. Use when asked to fix, remediate, or mitigate a Security Command Center finding or address attack paths. Don't use for general IAM policy querying without a Security Command Center finding. For runtime threat detections, this skill provides containment and investigation guidance rather than automated configuration fixes.
Workflow and best practices for writing Apache Airflow DAGs. Use when creating a new DAG, write pipeline code, handling questions about DAG patterns and conventions or extending an existing DAG with a follow-up/downstream task. ANY request shaped like 'add a DAG named X', 'write a pipeline', 'add a task that runs after Y', or 'extend the DAG'. For testing and debugging DAGs, see the testing-dags skill.
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies
Runs an autonomous review-and-fix improvement loop over the current branch's changes until a PR review comes back clean, scoped mechanically to the directories the branch touched. Reviews are performed by an installed PR-review skill (default: pr-review-toolkit's review-pr). Use to fix review findings on a branch before opening or updating a pull request ('clean up this branch', 'fix this PR until review passes', 'run review-and-fix on my changes'). NOT for a one-time review — run the PR-review skill directly.
Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation. Use when the user references a specific Dynatrace dashboard or notebook (by URL, UUID, or name) and asks what it shows, which DQL queries it runs, whether a tile looks off, or wants to find anomalies, score novelty, or correlate its metrics. The trigger is a dashboard or notebook as the data source, not a general DQL question. This skill extracts timeseries queries efficiently without reading the full raw document JSON, then optionally runs Davis analyzers on the extracted metrics. Trigger phrases: "what's wrong on this dashboard", "analyze this notebook", "find anomalies", "novelty score", "correlate metrics", "extract DQL from dashboard", "dashboard URL", "tile", "run-analyzer", "timeseries extraction", "Davis analyzer".
中国专利技能：挖掘专利点并撰写发明/实用新型/外观设计交底书；将已有交底改写为申请文件四件套；依据发明人材料衔接交底与申请；按著录项目检索公布公告；解读专利文献；基于已入库解读生成专利地图；对照审查政策撰写简报；辅助审查意见答复；编制权利要求对照表底稿（不构成法律意见）。| China patents: mine patent points and draft invention/utility-model/design disclosures; convert an existing disclosure into application documents; sequence disclosure and application from inventor materials; search CNIPA bibliographic records; interpret patent documents; generate a patent map from an interpreted vault; prepare examination-policy briefs; assist office-action responses; and prepare claim-chart worksheets (not legal opinions).
Sequenced launcher that bootstraps QA on a project with no QA in place. Chains qa-project-context → test-strategy → test-planning in one guided run, then executes available checks and records evidence. Use when: "set up QA on a new project," "QA from scratch," "no QA exists yet," "/qa-start." Not for: onboarding a QA engineer to an existing team with existing tests — use qa-project-bootstrap. Not for: "which skill do I use" with no clear match — use qa-do. Related: qa-project-context, test-strategy, test-planning, qa-project-bootstrap, qa-do.
Australian business English for professional writing — warm, direct, EN-AU spelling (colour, organise, centre), no filler words. Use whenever the user is writing for an Australian audience: emails, chat messages, proposals, client communications, blog posts, web copy, or any business writing. Apply to drafting, editing, and tone-checking professional text.
Split one artifact — a claim, plan, or file — across 2 to 5 independent lenses, one per genuinely distinct failure mode (correctness, security, readability, cost, adversarial-user), and return their convergence: where they agree, where they disagree, and the single next question that resolves the disagreement. Use when one reviewer isn't enough because the failure modes are heterogeneous, or a claim looks strong to its author and needs cross-lens pressure before it ships.
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.