Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Creates structured agent definitions using the 7-component format grounded in persona science (the alignment-accuracy tradeoff), vocabulary routing, and the MAST failure taxonomy + Forge watchlist. Produces agents with real-world job titles, expert domain vocabulary payloads (15-30 terms), explicit deliverables, decision boundaries, imperative SOPs, and named anti-pattern watchlists. Use this skill when the user wants to create an agent, define a role, build a persona, or needs a specialized AI assistant for a specific domain. Also triggers when Mission Planner delegates agent creation for team roles. Works for any domain — software, marketing, security, operations, design, writing, research, and more. Do NOT use for creating skills (use Skill Creator) or team composition (use Mission Planner).
Commit SpecStory transcripts and Claude/Cursor/OpenCode/Codex plans with feature diffs, derive staged `AI-Assisted-By` plus transcript/plan trailers, prevent secret leaks, and ignore SpecStory machine-local state. Use when asked to commit/save/stage agent sessions, record cross-harness provenance, bootstrap pre-commit, fix `.specstory/statistics.json` churn, scrub a transcript, or remediate accidental secret commits/pushes with rotate-first discipline.
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: “remember this”, “save this”, “note this”, “what did we discuss about...”, “check your notes”, “clean up memories”. Also use proactively when discovering valuable findings worth preserving.
This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).
Use when the user wants a repeatable AI/photonics/semiconductor supply-chain research workflow inspired by Serenity (@aleabitoreddit) and Crux Capital, including bottleneck mapping, stack analysis, evidence gathering from reports/news/earnings, directional sector calls, and optional lower-market-cap candidate names only after the thesis is built.
Technical and price-action analysis for Vietnamese stocks, crypto, and global assets. Use for ticker analysis, market comparisons, Wyckoff, volume, moving averages, support and resistance, or trading questions. Use aipa-data for raw price data and aipa-fundamentals for requested fundamental analysis.
Analyze and troubleshoot Alibaba Cloud AnalyticDB (ADB) Spark applications—execution monitoring, failure diagnosis, performance anomaly detection, and cross-application comparison. Use this Skill when users need to: 1. Check the execution status of AnalyticsDB Spark applications (running, succeeded, failed, etc.). 2. Analyze root causes of failed AnalyticsDB Spark applications (e.g., OOM, data skew, dependency errors, permission issues). 3. Identify Spark applications with abnormal execution duration by statistical analysis. 4. Compare similar Spark applications to pinpoint performance anomalies or detect SQL execution plan differences. Also applicable for "why did my Spark job fail", "which Spark app is running slow", "compare two Spark runs", etc.
Use when managing Alibaba Cloud Quan Miao (AiMiaoBi) via OpenAPI/SDK, including the user asks for Alibaba Cloud MiaoBi content operations, including listing resources, creating/updating configurations, querying runtime status, and diagnosing API or workflow failures.
This skill should be used when the user asks about "post-production", "video editing", "color grading", "color correction", "sound post-production", "DaVinci Resolve", "Premiere Pro", "editing workflow", "act as a post-production guide", "post-production mode", "export settings", "delivery specs", "editing strategy", "rough cut", "final cut", "LUT", "audio mixing", or needs expertise in editing strategy, color grading, sound post-production, NLE workflows, and delivery specifications. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).
Enforces statistical-test selection as a discipline, holding the Iron Law NO TEST CHOSEN AFTER SEEING THE P-VALUE: routes the choice through a fixed decision tree (outcome type -> groups -> paired? -> normality) terminating in named tests (t-test, Mann-Whitney U, ANOVA, Kruskal-Wallis, Wilcoxon, Friedman, chi-square, Pearson/Spearman, regression), gates interpretation behind a mandatory Shapiro-Wilk/Levene/linearity assumption check, blocks test-shopping with an Excuse-vs-Reality table and Red-Flags-STOP list, and applies a 3+-tests escalation gate forcing Bonferroni/FDR correction or an exploratory label. Use when choosing or switching a statistical test, asking which test to run, dropping a test after a non-significant result, or running many tests hunting for significance. For executing the chosen test prefer alterlab-statistical-analysis or alterlab-statsmodels; for the broader frozen-plan discipline see alterlab-preregistration-discipline. Part of the AlterLab Academic Skills suite.
Formats manuscripts for Turkish journals: TR Dizin submission rules (TR Dizin mandates a set abstract word limit, two referees from different institutions, Latin script for non-Latin-alphabet articles, and only suggests a second-language abstract; bilingual öz/abstract ~200-250 words and 3-5 keywords are common journal house conventions to confirm against the journal's yazım kuralları; article-end Katkı Oranı and Çatışma statements) and the Turkish adaptation of APA-7 (ve ark./vd. for multi-author cites, ampersand only in the reference list, s. for page, Çev. for translator, t.y. for no date, aktaran for as-cited-in, Turkish capitalization). Use when writing for a Turkish/Türkçe journal, preparing a TR Dizin submission, needing Türkçe APA 7 in-text or reference formatting, or formatting a bilingual öz. For English-language citation styles prefer alterlab-citation-mgmt or alterlab-venue-templates; for live TR Dizin index status use alterlab-trdizin. Part of the AlterLab Academic Skills suite.
Shared analysis-stage methodology for PDCA fix workflows: temporary-change permission and rollback gate, red-capable reproduction loop before hypothesis lists (user-pasted evidence excluded), instrumentation-debug with runtime-evidence-debug as default entry, analysis step skeleton (existence → research routing → phenomenon/locate/root-cause/upstream-eval/impact), mandatory analysis gate output block, and debug-verify loop. Parameterizes the post-analysis exit as {next-stage}. Referenced by PDCA hosts via frontmatter dependencies. Triggers — 「分析阶段核心」「分析核心」「临时改动门控」「红环门控」「打点调试门控」「调试验证闭环」「分析门控」 / analysis stage core, red-capable loop gate, temp-change gate, instrumentation debug gate, analysis gate output block, debug-verify loop.
Analyze an unfamiliar repository and explain what it does, how it runs, what architectural choices define it, where the important code lives, and what deserves deeper inspection next. Use this whenever a user has just cloned a repo, wants onboarding help, asks for a repo walkthrough, or needs a reliable first-pass architecture analysis.
Provides comprehensive guidance for Ant Design Mobile component library including mobile components, themes, and platform adaptations. Use when the user asks about Ant Design Mobile, needs to build mobile applications, or implement mobile UI components.
Use when the user wants to humanize, de-AI, polish, or warm up an AI-generated document, in English or Chinese. Good for social posts (X/Weibo/Jike/RedNote), Reddit and forum comments, blogs, podcast show notes, README cleanup, product docs, landing page copy, proposals, founder notes, and technical memos. Removes templated phrasing, consultant-speak, vague abstraction, emoji or icon headings, markdown templates, overly balanced tone, and the typographic tells that flag generated text (em-dashes `—`/`——`, smart quotes, the `…` character) while preserving meaning. Supports optional voice modes: human-texture (light irregularities) and learning mode (match a specific host's style from samples).
Use this skill any time the user wants to create visual stories, illustrated narratives, or storybook content. This includes: storybooks, comics, children's books, illustrated guides, step-by-step visual tutorials, brand stories, product stories, picture books, graphic novels, and visual explainers. Also trigger when: user says 做个绘本, 画个故事, 做个漫画, 做个图文教程, 做个品牌故事. If a visual story or illustrated content needs to be created, use this skill.
Implement right-to-left (RTL) layouts for Arabic web and mobile applications. Use when user asks about RTL layout, Arabic text direction, bidirectional (bidi) text, Arabic CSS, "right to left", or needs to build Arabic UI. Covers CSS logical properties, Tailwind RTL, React/Next.js RTL setup, Arabic typography, and font selection. Do NOT use for Arabic RTL (similar but different typography) unless user explicitly asks for shared RTL patterns.
Shared review framework that every domain reviewer (pci, oracle, gov, edtech, healthcare, mlops, etc.) MUST follow. Defines the output artifact (TM-{slug}.md), mandatory sections, severity scale, verdict format, the workflow scaffold (when-invoked, Step-0 read-inputs, HANDOFF), and the "domain heuristic vs generic check" boundary. Eliminates duplication across the ~30 reviewer prompts.
Answer questions from Aristotle's perspective — logic, rhetoric, ethics and the golden mean. Use when the user explicitly asks for this figure's perspective, mentions "aristotle-perspective", or wants to apply its core methods to analyse a problem; do not trigger automatically for general questions.
Based on existing content assets such as articles, columns, course lectures, verbatim transcripts, interviews, courseware, meeting minutes, case materials, PDF text, Word documents, and notes, determine whether they are best turned into a book, booklet, course, article series, practical handbook, or knowledge base, and output concise planning advice. This skill should be used when the user mentions scenarios such as "organize existing content into a book", "judge whether the material suits a book or a course", or "recombine articles/live-stream transcripts/course transcripts/notes into a knowledge product".
Write correct async Rust — runtime choice, Send and Sync bounds, cancellation safety, blocking work inside async contexts, and shared state across tasks. Use when writing or reviewing async code, when a future is held across an await point, when the user hits a Send bound error on a spawned task, when a runtime stalls or deadlocks, or when the user asks about tokio, select!, or spawn_blocking.
MySQL and MariaDB specifics for Atlas: dev database and URL scope (schema vs server), character sets and collations, users, roles and grants, enum and set columns, generated columns, foreign-key indexes, functional and prefix indexes, triggers and stored programs, table copies and MY lint checks, partial migration failures (no transactional DDL), GET_LOCK, managed services (RDS, Aurora, Cloud SQL, Azure), schema and migration tests, and custom lint rules. Use with the atlas skill whenever Atlas manages a MySQL or MariaDB database
Guided onboarding of a repository onto Atlas, one verified stage at a time: plan the units and the workflow, define the schema as code, set up the migration workflow, add CI with the Atlas Registry, deploy to staging, and promote to production. Each stage ends on a check the agent runs itself, such as a dry run with no changes or a deployment recorded in Atlas Cloud. Use when the user asks to onboard, adopt, or set up Atlas for a project or a team, or to resume an onboarding
Use when you need high-quality stock-style images from Aura Assets (aura.build/assets) similar to Unsplash for design mockups and marketing: backgrounds, abstract wallpapers, architecture, portraits, and headshots. Includes a workflow for searching by tag on aura.build/assets and returns 5 real image URLs per category plus practical guidance for using different resolutions and aspect ratios.
This skill helps an LLM generate correct audio code with @ax-llm/ax. Use when the user asks about ai.transcribe(), ai.speak(), signature audio inputs or outputs, agent audio behavior, .chat() conversational audio, OpenAI audio or realtime models, Gemini Live native audio, Grok Voice Agent models, voices, formats, transcripts, or how audio fits with structured outputs.
Decision-quality pre-commitment analysis for initiative-level go/no-go calls with meaningful downside and limited reversibility — launches, rewrites, key hires, partnerships, strategic bets, timelines. Invoke when the user explicitly asks to pressure test, validate, or evaluate such a decision (e.g. 'should we do this,' 'pressure test,' 'go/no-go,' 'are we ready'). Do NOT invoke for routine code review, sub-task planning, reversible tactical choices, or pure ideation.
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
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.