Backend & API
Backend services, APIs, webhooks, and server-side tooling
Skills List
optimize-audio
Optimizes Unity 6 audio memory, CPU cost, and playback quality through correct import settings and mixer configuration. Use when the user wants to reduce audio memory usage, choose the right Load Type for short clips versus music versus ambient beds, configure platform-appropriate sample rates and codecs, force 3D audio to mono, or reduce AudioMixer CPU cost from deep group trees or effects running on silent paths.
unity-technologies
whatsapp-marketing
Build a WhatsApp marketing strategy — WhatsApp Business setup, broadcast campaigns, automated flows, customer service, drip sequences, and conversational marketing. Use when the user says "WhatsApp marketing", "WhatsApp Business", "WhatsApp campaigns", "WhatsApp broadcasts", "WhatsApp automation", "WhatsApp drip", "market on WhatsApp", "WhatsApp for business", "WhatsApp chatbot", "WhatsApp customer service", "WhatsApp API", "messaging marketing India", or wants to use WhatsApp as a marketing and customer communication channel. Especially relevant for brands in India, the Middle East, Southeast Asia, Brazil, and Africa.
arnabbagxd
stock-market-pro
Professional stock price tracking, fundamental analysis, and financial reporting tool. Supports global markets (US, KR, etc.), Crypto, and Forex with real-time data. (1) Real-time quotes, (2) Valuation metrics (PE, EPS, ROE), (3) Earnings calendar and consensus, (4) High-quality Candlestick & Line charts with technical indicators (MA5/20/60).
sundial-orgbrand-positioning
Define and sharpen a brand's market positioning — where it sits relative to competitors, what it owns, and how it differentiates. Use when the user says "brand positioning", "positioning statement", "where do we sit in the market", "how are we different", "differentiation strategy", "positioning map", "competitive positioning", "what space do we own", "brand territory", "we're too similar to competitors", "help me position this brand", or wants to find a defensible place in a crowded category.
arnabbagxd
angular-di
Implement dependency injection in Angular v20+ using inject(), injection tokens, and provider configuration. Use for service architecture, providing dependencies at different levels, creating injectable tokens, and managing singleton vs scoped services. Triggers on service creation, configuring providers, using injection tokens, or understanding DI hierarchy.
analogjs
kibana-alerting-rules
Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters.
elastic
gh-stack
Manage stacked branches and pull requests with the gh-stack GitHub CLI extension. Use when the user wants to create, push, rebase, sync, navigate, or view stacks of dependent PRs. Triggers on tasks involving stacked diffs, dependent pull requests, branch chains, or incremental code review workflows.
github
gmgn-heat-rank
Produce THE list of tokens that are hot RIGHT NOW and safe enough to look at, across every chain GMGN supports, scored 0-100 and capped at ten names. This is a screening skill: it starts from no address, sweeps all seven chains, gates every candidate on liquidity / real volume / concentration / rug-and-dev risk, scores the survivors on one cross-chain scale, and returns however many clear the score floor — fewer than ten in a weak market, never padded to fill the quota. USE THIS SKILL WHEN the user wants a curated hot list rather than raw rankings: "热榜", "热门代币", "近期热门", "帮我抓一轮热榜", "现在有什么值得关注的热币", "全链热门币", "生成热榜", "有没有新的热门盘", "what is hot right now", "give me the hot list", "which trending tokens are actually worth looking at", "screen the trending list for me". The same questions in any other language route here too - match on meaning, not wording. DO NOT USE THIS SKILL for a raw ranking dump ("show me the top 20 by volume on sol", "1h trending", "hot search list") - that is `gmgn-market trending` / `hot-searches`, which returns the exchange's own ordering untouched; nor for freshly launched bonding-curve tokens ("just launched", "pump.fun new", "新盘") - that is `gmgn-market trenches`; nor for one address the user already has ("is this token safe", "打个分", "尽调") - that is `gmgn-contract-dd`; nor for a chart read ("走势怎么样", "什么形态") - that is `gmgn-kline-pattern`; nor for early-stage hunting below this skill's own floor ("值得埋伏吗", "新币筛选", "早期机会", "discover early-stage opportunities") - that is `gmgn-market trenches`, because the candidate pool here starts at 500k market cap and 100k liquidity and never contains a bonding-curve token; nor for the wallet-side view of the same market ("聪明钱在买什么", "KOL 在买什么", "on-chain alpha", "copy-trade signals") - that is `gmgn-track smartmoney` / `kol`, which answers who is buying rather than what is worth looking at. The split is by who chooses the tokens: if the user names the token, it is not this skill; if the user is asking the skill to choose, it is. When nobody names a token and the wording alone collides with `gmgn-market` - "hot coins", "what's pumping", "trending tokens", "热门币", "什么币在涨" - the deciding test is the shape of the answer being asked for: an untouched ranking of N rows in the exchange's own order is `gmgn-market trending`; a short list that survived risk gates, carries a score and can be acted on is this skill. A bare ambiguous ask with no other signal defaults here, because this skill can point at the raw ranking while the raw ranking cannot screen itself. Nothing has to be supplied to run it - the trigger phrase alone is enough, and no address, chain or amount is ever required. Four things can be narrowed when the user asks for it: which chains are swept, the age ceiling, how many names come back, and the score floor; any value changed that way is named in the report.
gmgnaielasticsearch-authn
Authenticate to Elasticsearch using native, file-based, LDAP/AD, SAML, OIDC, Kerberos, JWT, or certificate realms. Use when connecting with credentials, choosing a realm, or managing API keys. Assumes the target realms are already configured.
elasticelasticsearch-file-ingest
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms. Use when loading files or batch importing data — not for reindexing, general ingest pipeline design, or bulk API patterns.
elasticelasticsearch-esql
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
elastic
attack-path-stitcher
Stitches confirmed single-asset findings into multi-hop attack paths across the organization. Builds a graph where nodes are assets and edges are confirmed exploit hops citing the findings that enable them.
transilienceai
daily-news-caster
Fetches the latest news using news-aggregator-skill, formats it into a podcast script in Markdown format, and uses the tts skill to generate a podcast audio file. Use when the user asks to get the latest news and read it out as a podcast.
noizaicharacteristic-voice
Use this skill whenever the user wants speech to sound more human, companion-like, or emotionally expressive. Triggers include: any mention of 'say like', 'talk like', 'speak like', 'companion voice', 'comfort me', 'cheer me up', 'sound more human', 'good night voice', 'good morning voice', or requests to add fillers, emotion, or personality to generated speech. Also use when the user wants to mimic a specific character's voice, apply speaking style presets (goodnight, morning, comfort, celebration, chatting), tune emotional parameters like warmth or tenderness, or make TTS output feel like a real person talking. If the user asks for a 'voice message', 'companion audio', 'character voice', or wants speech that sighs, laughs, hesitates, or sounds genuinely warm, use this skill. Do NOT use for plain text-to-speech without personality, music generation, sound effects, or general coding tasks unrelated to expressive speech.
noizaigmgn-contract-dd
Contract due-diligence score for one token address — contract safety, holder structure and price action combined into a single 0-100 composite, capped by GMGN's own rug label, where every deduction names the field it read and an absent field is never a passing check. Use when the user wants one verdict number rather than fields: 尽调, CA 尽调, 给这个币打个分, 这个币安全吗, 能不能买, 有没有貔貅, is this token safe, rug check, honeypot check, due-diligence score, score this contract, or pastes a bare token contract address. A bare address may equally be a wallet — Step 0 resolves which and hands wallets to gmgn-wallet-analysis. Prefer this over gmgn-token whenever the ask is a verdict rather than a field dump; the raw fields themselves — price, market cap, liquidity, holder and trader lists, the unscored security fields — are gmgn-token, chip structure is gmgn-holder-analysis, chart-pattern naming is gmgn-kline-pattern. Buy intent narrows to this skill only when the ask is a bare address: the input is --address, and no name is ever resolved here. When the user names the token instead — 帮我买 200u 的 PENGU, XX 能不能买, 能不能冲, 我想梭, buy me $500 of BONK — or wants a position size, gmgn-token-buy owns it, because picking the one right contract out of the same-name copycats and sizing slippage and gas are both outside this skill's input. That skill calls this one for the safety verdict rather than replacing it, so a bare address with no name and no amount still scores here exactly as before.
gmgnai
clickhouse-managed-postgres-rca
MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.
clickhouse
antv-g6-graph
Use this skill whenever the user wants to create, customize, or troubleshoot G6 v5 graph/network visualizations. Triggers include: any mention of 'G6', 'antv g6', '@antv/g6', 'G6 graph', 'G6 图', '网络图', '关系图', '拓扑图', '树形图', '流程图', '思维导图', '鱼骨图', '力导向图', 'force graph', 'network visualization', 'node-edge diagram', 'graph layout', 'tree layout', 'dagre layout', 'mindmap', 'social network', or requests about G6 node styles, edge types, behaviors, plugins, layouts, combos, or data structures. Also use when debugging G6 rendering errors, v4→v5 migration, or graph interaction issues. Do NOT use for G2 statistical charts, X6 editor diagrams, or S2 pivot tables.
antvis
n8n-binary-and-data-official
Use when handling files, images, attachments, or binary data in n8n, OR when an AI agent needs to take a user-uploaded file as tool input or return a generated file. For Data Tables (schemas, dedup, persistent state), see the separate n8n-data-tables-official skill. Triggers on "file", "image", "PDF", "attachment", "binary", "upload", "download", chat trigger with files, agent tool that needs a file, vision/multimodal, or any handling of non-JSON file data.
n8n-ion8n-extending-mcp-official
Use when you want to expose an n8n workflow as a tool the coding agent can call. Two cases. (1) Wrap n8n API capabilities the MCP doesn''t natively expose: folder deletion, project create/rename, tag rename/delete, instance metadata, credential creation. (2) Expose a general-purpose workflow as an agent tool: a workflow that calls a third-party API, runs business logic, or does any task you want the agent to invoke. Triggers on "expose as MCP tool", "build a tool for my agent", "I need to know X" where X isn''t an MCP tool, "delete folder", "rename tag", or any capability gap.
n8n-ion8n-loops-official
Use when working with multi-item data, batches, paginated APIs, rate-limited APIs, fan-out across multiple branches, anything that needs to "do this for each", or any time the user mentions looping, iterating, batching, paging, parallelism, or "loop over items". Triggers on "loop", "iterate", "for each", "batch", "page through", "paginate", "rate limit", "process all", "fan-out", "parallel branches", "concurrency", or any node that should run once vs once-per-item.
n8n-ion8n-debugging-official
Use when an n8n workflow isn't working, errors appear, results don't match what was expected, or the user says "this isn't working." Triggers on errors, unexpected output, "it's not working", "why is this happening", "the workflow stopped", failure investigation, or any debugging context.
n8n-ion8n-error-handling-official
Use when building any webhook-triggered workflow, scheduled/production-bound workflow, wiring a per-node error output, or any workflow where silent failure would drop user-visible work. Triggers on "webhook", "respond to webhook", "API", "production", "error", "failure", "5xx", "try/catch", "error workflow", "onError", "continueErrorOutput", "error branch", "node error output", "output(1)", "main[1]", "scheduled", or any workflow that runs unattended.
n8n-ioicon-retrieval
Search icons through HTTP API and retrieve SVG strings with curl.
antvis
dubbing
Dub audio and video into other languages using the ElevenLabs Dubbing API (dubbing_v2), preserving the original speakers' voices. Use when translating videos, podcasts, or recordings into other languages, localizing media content, reviewing or correcting dubbing transcripts and translations, or regenerating a dub after edits.
elevenlabs