所有 Skills

找到 8171 个 Skills

Skills 列表

expo-react-native-typescript

expo-react-native-typescript

223testing-qa

Expert in Expo React Native TypeScript mobile development with best practices

mindrally avatarmindrally
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gitops-knowledge

gitops-knowledge

223devops-cloud

Flux CD and Flux Operator expert — answers questions and generates schema-validated YAML for all Flux CRDs (not repo auditing or live cluster debugging). Use when users ask about Flux concepts, want manifests for HelmRelease, Kustomization, GitRepository, OCIRepository, ResourceSet, FluxInstance, or any Flux resource. When user needs guidance on GitOps repository structure, bootstrap Flux with Terraform, multi-tenancy, OCI-based delivery, image tag automation, drift detection, preview environments, monorepo app delivery, running migration Jobs before or after a deployment, notifications, or the Flux Web UI and MCP Server.

fluxcd avatarfluxcd
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gitops-cluster-debug

gitops-cluster-debug

223devops-cloud

Debug and troubleshoot Flux CD on live Kubernetes clusters (not local repo files) via the Flux MCP server — inspects Flux resource status, reads controller logs, traces dependency chains, and performs installation health checks. Use when users report failing, stuck, or not-ready Flux resources on a cluster, reconciliation errors, controller issues, artifact pull failures, image automation not updating tags, alerts or webhooks not being delivered, or need live cluster Flux Operator troubleshooting.

fluxcd avatarfluxcd
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zsxq-shared

zsxq-shared

222security

知识星球 CLI 共享基础:认证登录(auth login/logout/status)、配置诊断(doctor/config show)、通用 API 调用规范(api list/api call/api raw 调用底层接口或原始 HTTP 接口)、星球与主题分享链接拼接(电脑端 / 手机端)、写入与删除操作的安全规则、常见错误码处理(401 token 过期、缺参数等)。当用户首次登录、退出登录、查看认证状态、调用 zsxq-cli api raw / api call、需要拼接知识星球分享链接,或遇到认证或 HTTP 错误时使用。

unnoo avatarunnoo
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qdrant-clients-sdk

qdrant-clients-sdk

222code-generation

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

qdrant avatarqdrant
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unslop

unslop

222writing-content

Remove AI writing patterns from prose using either audit-only detection or a two-pass rewrite flow (diagnosis then reconstruction). Use this skill when editing, reviewing, or rewriting AI-generated content to make it sound human. Triggers on requests to "humanize", "de-slop", "fix AI text", "make it sound human", "remove AI patterns", or when reviewing text that contains obvious AI tells like "Here's the thing:", "Let that sink in", or "In today's fast-paced landscape". Also use when the user pastes text and says it "sounds like ChatGPT", "sounds robotic", "needs to sound more natural", or asks you to "clean up" drafted content before publishing.

theclaymethod avatartheclaymethod
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landing-page-copywriter

landing-page-copywriter

221prompting-reasoning

使用经过验证的文案框架(如PAS(问题-煽动-解决方案)、AIDA和StoryBrand)撰写高转化率的着陆页文案。创建标题、价值主张、行动号召按钮以及针对转化优化的完整页面部分。当用户需要着陆页文案、销售页面内容或营销网站文本时使用。

onewave-ai avataronewave-ai
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redis-best-practices

redis-best-practices

220security

Redis development best practices for caching, data structures, and high-performance key-value operations

mindrally avatarmindrally
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instagram-research

instagram-research

220backend-api

使用 Apify 的 Instagram Scraper 研究来自跟踪账户的高表现 Instagram 内容(帖子和 Reels)。 识别异常内容,使用 AI 分析前 5 个视频,并生成带有可操作钩子公式的报告。 当被要求时使用: - 查找某个细分领域的热门 Instagram 内容 - 研究 Instagram 上表现好的内容 - 识别高表现的 Reel 模式 - 分析竞争对手的 Instagram 内容 - 从 Instagram 趋势中生成内容创意 - 运行 Instagram 研究 - 查找病毒式传播的 Reels - 分析钩子和内容结构 触发词:"instagram research", "ig research", "find trending reels", "analyze instagram accounts", "what's working on instagram", "content research instagram", "reel analysis", "instagram trends"

bradautomates avatarbradautomates
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design-better

design-better

220design-ui

Use when the user is building or refactoring UI in their product codebase and wants designer-quality frontend code — not just functional code. Triggers on phrases like "design better", "make this UI feel more designed", "elevate the design quality", "build this with design best practices", "follow UX heuristics", "make this feel professional", "apply design polish", "review this for craft", or any request to apply UX/UI craft heuristics to code generation or review. Pairs with `docs/design.md` when it exists — the design system file owns **style** (colors, typography, spacing tokens, components), this skill owns **craft** (hierarchy, interaction, accessibility, motion, polish). Reference `docs/design.md` tokens by name for every visual decision; apply the 50-item heuristics catalogue and the Laws of UX catalogue below for every craft decision. When `docs/design.md` is absent, fall back to the codebase's existing design conventions and recommend the **Design System** skill. When a heuristic implies a token the design system doesn't have, flag it as a New Pattern to add via the **Design System** skill — never invent a value inline. Fully standalone.

buildgreatproducts avatarbuildgreatproducts
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sports-news

sports-news

219backend-api

Sports news via RSS/Atom feeds and Google News. Fetch headlines, search by query, filter by date. Covers football news, transfer rumors, match reports, and any sport via Google News. Use when: user asks for recent news, headlines, transfer rumors, or articles about any sport. Good for "what's the latest on [team/player]" questions. Supports any Google News query and curated RSS feeds (BBC Sport, ESPN, The Athletic, Sky Sports). Don't use when: user asks for structured data like standings, scores, statistics, or xG — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for prediction market odds — use polymarket or kalshi. News results are text articles, not structured data.

machina-sports avatarmachina-sports
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static-analysis

static-analysis

218code-generation

Static analysis skill for C/C++ codebases. Use when hardening code quality, triaging noisy builds, running clang-tidy, cppcheck, or scan-build, interpreting check categories, suppressing false positives, or integrating static analysis into CI. Activates on queries about clang-tidy checks, cppcheck, scan-build, compile_commands.json, code hardening, or static analysis warnings.

mohitmishra786 avatarmohitmishra786
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naval-perspective

naval-perspective

217research-knowledge

Naval Ravikant的思维操作系统。基于著作、播客、推文、决策记录和外部批评的深度调研, 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 激活后沉浸式扮演Naval,直接以「我」的视角回应问题。 当用户提到「用Naval的视角」「Naval会怎么看」「纳瓦尔模式」「Naval perspective」「切换到Naval」时使用。 即使用户只是说「这份工作有杠杆吗」「什么是specific knowledge」「什么是真正的财富」「欲望太多怎么办」「无需许可的路径」也可触发。 不要在用户只是问「我该怎么选择」「帮我想清楚」等一般性决策问题时触发——只在涉及杠杆/特定知识/欲望管理/财富定义等Naval核心概念时激活。

alchaincyf avataralchaincyf
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gh-axi

gh-axi

217devops-cloud

Operate GitHub through the gh-axi CLI - issues, pull requests, workflow runs, workflows, releases, repositories, labels, gists, Projects (v2), Actions secrets and variables, search, and raw API access. Use whenever a task touches GitHub: listing or filing issues, reviewing or merging PRs, checking CI runs, triggering workflows, cutting releases, managing Projects boards, managing Actions secrets/variables, or working with gists via `gist list`, `gist view`, `gist edit`, `gist rename`, `gist create`, `gist delete`, or `gist clone`.

kunchenguid avatarkunchenguid
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framer-motion

framer-motion

213testing-qa

Expert guidelines for building performant animations with Framer Motion/Motion library in React applications

mindrally avatarmindrally
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ml-ai

ml-ai

213backend-api

Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN outlier detection), Sift (8-analysis automated root-cause), Knowledge Graph + RCA Workbench, and the LLM Plugin (OpenAI / Anthropic / Azure / Ollama / vLLM / LiteLLM). Use when you want anomaly alerts without static thresholds, natural-language querying, automated incident investigation, dashboards generated from a sentence, or a managed LLM proxy for plugins — even when the user says "alert when something looks weird", "explain this PromQL", "find the root cause", "make this a dashboard", or "wire Claude into Grafana" without naming any of these products.

grafana avatargrafana
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private-connectivity

private-connectivity

213devops-cloud

Set up private network connectivity to Grafana Cloud — AWS PrivateLink, Azure Private Link, GCP Private Service Connect, and Private Data Source Connect (PDC). Provisions VPC endpoints, private endpoints, or PSC forwarding rules per signal type (metrics / logs / traces / profiles); wires Alloy to push to the private DNS endpoint instead of the public one; verifies private DNS resolution + endpoint approval state. Use when sending telemetry to Grafana Cloud without traversing the public internet, eliminating cloud egress costs, meeting PCI-DSS / HIPAA / data-residency compliance, configuring PDC for private data-source queries, or connecting AWS / Azure / GCP workloads to Grafana — even when the user says "stop paying egress", "keep our telemetry off the public internet", or "PCI compliance for Grafana" without naming PrivateLink.

grafana avatargrafana
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loki-label-analyzer

loki-label-analyzer

213devops-cloud

Expert evaluator for Grafana Loki label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, and consistency checks. Use when the user asks to evaluate, audit, design, or improve a Loki label strategy — or asks why their Loki queries are slow.

grafana avatargrafana
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build-loop-cursor

build-loop-cursor

213testing-qa

Use when building features with **Cursor** in any codebase and the work should go through a disciplined build → review → test → fix loop. Triggers on "run the build loop", "build the next task", "continue the plan", "build this feature properly", or any request to implement work from a plan file or a direct feature prompt. Builds from the plan (or the prompt if no plan exists), runs Cursor's `/review` and fixes every issue found, tests and verifies the feature end to end, fixes anything testing surfaces, and reports back once complete. Repeats until all plan tasks are checked off.

buildgreatproducts avatarbuildgreatproducts
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cost-management

cost-management

212backend-api

Cut your Grafana Cloud bill by attributing spend to teams and reducing telemetry volume. Covers FOCUS-compliant billing dashboards, cost-attribution labels in Alloy, Adaptive Metrics (cardinality reduction), Adaptive Logs (drop/sample), Adaptive Traces (tail sampling), usage alerts, and an optimization checklist. Use when investigating a high Grafana Cloud bill, attributing observability cost to a team or service, reducing active series / log bytes / trace spans, or setting up usage / quota alerts — even when the user says "our Grafana bill is too high", "who's burning the most metrics", "drop debug logs", "sample our traces", or "alert me before we hit quota" without naming Cost Management.

grafana avatargrafana
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adaptive-metrics

adaptive-metrics

212backend-api

Cut Grafana Cloud Metrics cost by shrinking active-series count with Adaptive Metrics aggregation rules — auto-recommendations from query history, custom exact/regex rules, label-drop config, unused-metric detection, and Alloy remote_write fallback. Use when investigating a high Mimir/Grafana Cloud bill, hunting high-cardinality labels (`pod_uid`, `service_instance_id`, `version`), pre-aggregating counters/gauges, dropping unused metrics, or measuring `grafanacloud_instance_active_series` before/after — even when the user says "reduce cardinality", "too many series", "metrics spend", "active series count is exploding", or "drop the version label" without naming Adaptive Metrics.

grafana avatargrafana
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synthetic-monitoring-checks

synthetic-monitoring-checks

212testing-qa

Author Grafana Cloud Synthetic Monitoring checks, with deep coverage of k6 scripted and browser checks: SM's single-VU/single-iteration execution model, assertions that actually fail probe_success (expect() and fail() vs bare check()), secrets, deterministic scripts, robust browser locators, local validation with k6 run, deployment via UI/API/Terraform, verifying probe_success, and rollback. Also helps choose the simplest sufficient check type (HTTP/ping/DNS/TCP, MultiHTTP, scripted, browser). Use when writing a synthetic check, monitoring a login/checkout/signup flow in production, converting a k6 script or an OpenAPI spec into a check, authoring a browser check, validating a user journey, or asking "is my site up from multiple regions". NOT for load, stress, or performance testing — SM runs one iteration per execution; for load tests use the grafana-k6 plugin or Grafana Cloud k6. For the broad Grafana Cloud Testing overview (SM + k6 Cloud + Faro), use the testing skill.

grafana avatargrafana
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dpm-finder

dpm-finder

212devops-cloud

Find the Prometheus metrics that drive your Grafana Cloud bill. `dpm-finder` is a Grafana Professional Services CLI that ranks metrics by Data Points per Minute (DPM) with per-label-set breakdown, optional `--cost-per-1000-series` pricing, and a Prometheus-exporter mode. Use when investigating high Grafana Cloud spend, hunting noisy / high-cardinality metrics, comparing pre/post recording-rule cardinality, or feeding cost data into dashboards — even when the user says "why is my Mimir bill so high?", "find the biggest metrics", "cardinality offenders", or "optimize Prometheus cost" without naming dpm-finder.

grafana avatargrafana
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oncall-irm

oncall-irm

212security

Route alerts, run on-call rotations, and drive incidents in Grafana IRM / OnCall — integrations (Alertmanager / Grafana Alerting / generic webhook / PagerDuty), Jinja2 routing + grouping templates, escalation chains (wait → notify schedule → notify team → webhook → auto-resolve), schedules (web + iCal + Terraform `grafana_oncall_schedule`), Slack chatops with Acknowledge/Resolve/Silence, and the P1-P4 incident lifecycle. Use when wiring Alertmanager to OnCall, deciding which team gets paged, building rotations from a Google Calendar / iCal, hooking up Slack notifications, or declaring an incident from an alert — even when the user says "page the platform team on critical alerts", "send Prometheus alerts to Slack", "set up our on-call rota", "escalation policy", or "auto-resolve when the alert clears" without naming OnCall / IRM. Heads up — OnCall OSS is in maintenance mode (archived March 2026); Grafana Cloud users should use IRM.

grafana avatargrafana
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