Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use for critical thinking, or when the user wants a claim, plan or decision checked for weak spots: "is this right?", "what am I missing?", "poke holes", "sanity check", "devil's advocate", "red team this". Skip for execution-only tasks and wording edits.
Dating wingman and texting coach. Use when the user asks for reply suggestions, message rewrites, DMs/openers, chat analysis, relationship health analysis, or date ideas, and when they provide chat screenshots to extract and structure before coaching. Prioritize context-first coaching, a concise case file, and 2-4 clarifying questions when information is missing. Reply in the user's language.
ETL/ELT pipelines, data warehousing (BigQuery, Snowflake, Redshift), stream processing (Kafka, Spark Streaming), orchestration (Airflow, Dagster, Prefect), dbt transformations, and data lake architecture. Use when building data pipelines, designing warehouse schemas, or implementing real-time data processing.
Use when DaVinci Resolve is broken in some specific way — red playback indicator, missing media, clips offline, audio out of sync, GPU/render crashes, or render queue stuck. Triggering symptoms include phrases like "Resolve is dropping frames", "media offline", "clips show red diagonal", "audio drifts", "Resolve crashes when rendering", "GPU error", or any DaVinci Resolve "why is X broken" question.
Deploy applications to DigitalOcean App Platform via GitHub Actions with proper environment management and secrets handling. Use when setting up CI/CD pipelines, configuring staging/production environments, managing deployment secrets, or creating GitHub Actions workflows.
Guide visual and interaction design from the person, moment, and subject, with composable guidance for artifacts and creative directions. Use when creating or restyling a page, app, document, presentation, graphic, or prototype, or choosing how it should look and feel.
Get developers to "Hello World" fast with optimized quickstarts, tutorials, and sample apps. Trigger phrases: developer onboarding, time to first value, quickstart guide, hello world tutorial, developer activation, onboarding checklist, sample apps, getting started experience, reduce time to value
Guidance for running AI/ML workloads on Docker. Covers Docker Model Runner (docker model pull/run for local LLMs), Docker Agent (multi-agent orchestration for coding tasks), Docker Sandboxes for isolated AI agent execution, GPU acceleration (nvidia-container-toolkit, --gpus flag), AI model serving with Docker, and running open-source LLMs (Llama, Gemma, Qwen) locally. Use when the user asks about docker ai, docker model runner, local LLM, docker agent, GPU docker, sandbox, model serving, or needs to deploy AI models with Docker. 使用场景：docker ai、model runner、本地 LLM、docker agent、GPU docker、sandbox、AI 模型部署。
Create, manage, and execute agent tools (claude, codex) inside Docker sandboxes for isolated code execution. Use when running agent loops, spawning tool subprocesses, or any task requiring process isolation. Triggers on "sandbox", "isolated execution", "docker sandbox", "safe agent execution", or when working on agent loop infrastructure.
Completion marker for the /do workflow. Outputs a plain-prose summary of what was built. Called by /do after the Outcome and every current Acceptance Criterion and Global Invariant has fresh PASS evidence, when the manifest is complete, all criteria pass, or the workflow needs to wrap up with a completion summary.
End-to-end testing patterns with Playwright for full-stack Python/React applications. Use when writing E2E tests for complete user workflows (login, CRUD, navigation), critical path regression tests, or cross-browser validation. Covers test structure, page object model, selector strategy (data-testid > role > label), wait strategies, auth state reuse, test data management, and CI integration. Does NOT cover unit tests or component tests (use pytest-patterns or react-testing-patterns).
Motion design for explainer diagrams and films, making connections, messages, and cards kinetic and physical. Use when animating a diagram, data flow, or architecture explainer (Psychopomp, web, or video); when lines should draw on or messages should travel and land; or when a motion graphic feels flat, floaty, stuttery, or over-glowing.
Create high-quality animated explainer visuals for essays and blog posts. Use when the user wants to visualize concepts, processes, data, or ideas with interactive web animations. Triggers on requests like "create a visual for", "animate this concept", "make an explainer", "visualize this idea", "diagram this process", "show this data", or when essay content would benefit from visual explanation. Handles abstract concepts (mental models, frameworks), technical processes (algorithms, systems), and data visualization (trends, comparisons). Outputs self-contained HTML/CSS/JS that embeds directly in web content.
First-encounter orientation on a repository nobody here has worked in yet. Runs a fixed five-step workflow — venv setup, tarball fetch, tree-sitting structural scan, featuring synthesis, then reasoning over the two — and yields an account of what the repo contains and how it is arranged, optionally written out as _FEATURES.md. Use for "I just cloned this", "what is this repo", "what does this do", "explore this repo", "give me an orientation", "what are the main features", "review what's new in this repo", or before starting work in a codebase you have not seen. This is the divergent what's-here skill. Route elsewhere for: a named symbol, a file's structure or a line range (tree-sitting); all callers of a Python symbol (searching-codebases); teaching a human the codebase through exercises (orienting-codebases); fetching or cloning a repo without analysing it (accessing-github-repos, cloning-project).
Manage task records in Feishu Bitable (飞书多维表格) using a fixed task-status table schema and TASK_FIELD_* overrides. Use to fetch/claim/update/create tasks, look up drama metadata by BookID, or derive tasks from a source Bitable (JSON/JSONL in/out).
Definitive reference for FFmpeg and ASS/SSA animation timing units, optimal durations, and best practices. PROACTIVELY activate for: (1) Animation timing questions, (2) ASS subtitle timing, (3) Karaoke timing tags, (4) Caption duration calculation, (5) Transition duration selection, (6) Fade/zoom timing, (7) Frame rate considerations, (8) Platform-specific timing (TikTok/Shorts/Reels), (9) Readability formulas, (10) Audio-video sync tolerances. Provides: Complete time unit reference tables, optimal duration guidelines, psychology-based timing recommendations, caption readability formulas, and platform-specific timing profiles.
Drive a multi-party deliberation in a Slack channel or thread. The agent is an involved orchestrator — presses rigorously, brings evidence, names trade-offs, surfaces disagreements, advances when answers cohere; owner-by-Slack-handle overrules. Use when the people involved cannot all sit in one chat, when deliberation has to happen in Slack, or when the user asks to figure out with the team, press a group asynchronously, or get the team aligned.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use when optimizing OCI costs, investigating unexpected bills, planning budgets, or identifying waste. Covers hidden cost traps (boot volumes, reserved IPs, egress), Universal Credits gotchas, shape migration savings, free tier maximization, and cost allocation challenges.
Configure and verify Flutter flavors, environments, signing, versioning, release artifacts, obfuscation symbols, and store-ready builds. Use for local artifact configuration; route CI provider workflows to flutter-ci-cd, and do not publish or change live credentials without explicit authorization.
When the user wants to optimize food and beverage supply chains, manage perishability, ensure food safety, or handle retail distribution. Also use when the user mentions "food supply chain," "beverage distribution," "HACCP," "food safety," "perishable logistics," "shelf life management," "FEFO," "farm to fork," "CPG distribution," "grocery supply chain," or "fresh produce logistics." For retail allocation, see retail-allocation. For promotional planning, see promotional-planning.
Use when managing a Forgejo or Gitea server from the terminal: issues, pull requests, repositories, file contents, labels, milestones, releases, webhooks, user settings, or any /api/v1 endpoint through a safe generic API command. Do not use this skill for unrelated requests; route to the nearest named specialist.
Screen a Medicare/Medicaid claims corpus for fraud, waste, and abuse and produce ranked, fully-cited investigation referrals for an SIU / program-integrity team. Use when asked to run a fraud sweep, screen claims for FWA, find billing anomalies, or generate investigation referrals over a claims dataset.
Invoke when the user wants to plan, execute, or analyze a structured playtest session with behavioral observation. Covers protocol design, observer guides, and data synthesis. Triggers on: "playtest", "player feedback", "usability test", "observation session", "playtest analysis". Do NOT invoke for QA bug testing (use game-qa-lead) or balance tuning (use game-balance-check). Part of the AlterLab GameForge collection.
AI image generation via Gemini, or Atlas Cloud with `-p atlas`. Use when the user wants to generate, create, or make an image, or when you need to create visual assets like logos, diagrams, or illustrations. Requires GEMINI_API_KEY or GOOGLE_API_KEY, or ATLASCLOUD_API_KEY when using `-p atlas`.
When the user wants to analyze local ranking data using geogrid scans, interpret map pack rankings across a geographic area, or understand ARP/ATRP/SoLV metrics. Also use when the user mentions "geogrid," "rank grid," "local rank tracking," "Local Falcon," "grid scan," "map pack rankings," "ranking heatmap," or "where am I ranking." For broader local audit, see local-seo-audit. For competitor analysis, see local-competitor-analysis.
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.