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Found 914 Skills
Query and analyze security events and alerts detected by Alibaba Cloud Firewall IPS (Intrusion Prevention System), helping quickly locate threats and provide remediation recommendations. Triggers when user mentions IPS alerts, intrusion detection, intrusion prevention, attack events, security alerts, threat detection, attack analysis, IDS/IPS, being attacked, any attacks, security incidents, security warnings, server under attack, machine alarms. Also triggers when user asks about "any recent attacks", "which assets were attacked", "does this IP have attack behavior", "security alerts for a specific server/machine", "which IPs attacked a specific IP", even without explicitly saying "IPS".
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase. ALSO triggers when users are frustrated or complaining about agent quality — e.g. 'the agent keeps ignoring conventions', 'it never follows instructions', 'why does it keep doing X', 'the agent is broken' — because poor agent output almost always signals harness gaps, not model problems. Covers: context engineering, architectural constraints, multi-agent coordination, evaluation, long-running agent harness, and diagnosis of agent quality issues.
Guided, interactive exploration of statistical data via SDMX providers (Eurostat, OECD, ECB, World Bank, ISTAT, and others) using the opensdmx CLI. Use this skill whenever the user asks ANY question about statistics or data that could be answered with SDMX data — even if they don't mention SDMX, Eurostat, or any provider by name. Topics include demographics, economy, employment, births, deaths, population, prices, trade, health, agriculture, GDP, inflation, unemployment, fertility rates, migration, energy, education, poverty, housing, and any other statistical topic. Also use it when the user mentions a specific dataflow ID they want to explore. Trigger this skill even for implicit questions like "how many births were there in Italy last year?" or "I need EU unemployment data by age group" — these clearly need SDMX data even if the user doesn't say so. The skill guides the user step by step: discovers relevant datasets, proposes the most meaningful candidates, explores the schema using real constraints (not codelists), explains the dataset structure, and invites the user to make informed filter choices before fetching any data.
Forensic diagnostic report for LOCI — collects environment state, runs health checks, and writes a timestamped report when analysis fails or doesn't trigger. Invoke when: "bug report", "LOCI isn't working", "exec-trace didn't run", "skill didn't trigger", "MCP not connecting", "results are wrong", "results missing", "generate diagnostic", "something is broken", "debug LOCI", or any LOCI failure the user wants investigated.
Apply sustainability frameworks (triple bottom line, SDGs, ESG, circular economy) to evaluate whether strategies balance economic, social, and environmental dimensions. Use this skill when the user needs to assess ESG performance, design circular economy strategies, align business models with SDGs, or when they ask 'is this strategy truly sustainable', 'how do we measure ESG impact', 'what does a circular business model look like', or 'how do we avoid greenwashing'.
Apply cultivation theory (Gerbner) to analyze how long-term media exposure shapes worldviews. Use this skill when the user needs to study cumulative media effects on audience beliefs, evaluate mainstreaming and resonance phenomena, or assess how media consumption patterns correlate with perceptions of social reality — even if they say 'does watching news make people more fearful', 'how does media shape worldview', or 'mean world syndrome'.
Apply Complex Adaptive Systems theory to analyze phenomena exhibiting emergence, self-organization, co-evolution, and edge-of-chaos dynamics. Use this skill when the user needs to understand why a system behaves unpredictably despite known components, model agent-based interactions that produce emergent outcomes, analyze fitness landscapes, or when they ask 'why does this system behave in ways no one designed', 'how do local interactions create global patterns', or 'why do small changes sometimes cause massive system shifts'.
Exhaustively extract UX patterns from a reference web app. Walks every screen, captures screenshots of every state, records interaction patterns, copy verbatim, keyboard shortcuts, responsive treatments, motion, and empty/error/loading states. Produces a reusable pattern library that other audits can compare against. The inverse of ux-audit — asks 'what is the bar?' rather than 'does this match the bar?'. Trigger with 'learn from X', 'extract patterns from X', 'study X's UX', 'reverse engineer the UX of X', 'build a pattern library from X'.
Monetize a DFlow integration by collecting a builder-defined fee on trades your app routes through the Trade API — either a fixed percentage (spot + PM) via `platformFeeBps`, or a probability-weighted dynamic fee (PM outcome tokens only) via `platformFeeScale`. Use when the user asks "how do I take a cut of trades?", "add a builder fee", "monetize my swap UI", "charge a platform fee", "how does platformFeeBps / platformFeeScale work?", or "where do my fees get paid?". Do NOT use to run a trade itself (use `dflow-spot-trading` or `dflow-kalshi-trading` — both also cover priority fees and sponsored / gasless flows).
Decision Coaching for Vue Component/Composable Refactoring — Users paste a piece of code or point to an SFC, and the skill first performs a diagnosis ("Fat Trunk" / "UI & IO Entanglement" / "Reactivity & Business Logic Entanglement"), then selects one from three recipes, and provides a specific sequence of extraction steps (which variable to move first, what errors the compiler will throw, how to fix them one by one, when rollback is possible). The entire process ensures behavioral equivalence through compiler green lights + step-by-step rollback, without relying on test safeguards. Trigger scenarios: Users say "This Vue component is too fat / I want to extract the logic / Split this SFC / This composable is too messy / Extract a composable / Split into humble / Pure functionalize", or point to an obviously overlong .vue / composable file and request "Refactor / Optimize / Split". Only handles Vue (Vue 2 Options, Vue 2/3 `<script setup>`, composable, pinia store). Does not handle: Adding new features (follow feature process), fixing bugs (follow issue process), cross-module architecture restructuring, backend code.
Clear description of what this skill does and when to use it. Use when the user asks about X or wants to work with Y. Include specific trigger phrases so agents auto-load it correctly. Max 1024 characters.
Conduct legal research and risk analysis using GoodLegal MCP tools. Use this skill whenever the user asks a legal question, wants to research case law or legislation, needs a legal risk assessment, or asks about French or EU law. Trigger on any mention of jurisprudence, legal research, contract risk, regulatory analysis, legal memo, or references to GoodLegal tools — even if the user just says something like "can you look into whether this clause is enforceable" or "what does the case law say about X".