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実際に使われている Agent Skills。

公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。

掲載範囲
検証済み
Skills
5,771
リポジトリ
824
最終同期
2026/09/08
5,771 Skills
software-mansion-labs
コミュニティ

react-native-best-practices

Software Mansion's best practices for production React Native and Expo apps on the New Architecture. MUST USE before writing, reviewing, or debugging ANY code in a React Native or Expo project. If the working directory contains a package.json with react-native, expo, or expo-router as a dependency, this skill applies. Trigger on: any code task in a React Native/Expo project, 'React Native', 'Expo', 'New Architecture', 'Reanimated', 'Gesture Handler', 'react-native-svg', 'ExecuTorch', 'react-native-audio-api', 'react-native-enriched-html', 'Worklet', 'Fabric', 'TurboModule', 'WebGPU', 'react-native-wgpu', 'TypeGPU', 'GPU shader', 'WGSL', 'svg', 'animation', 'gesture', 'audio', 'rich text', 'AI model', 'multithreading', 'chart', 'vector', 'image filter', 'shared value', 'useSharedValue', 'runOnJS', 'scheduleOnRN', 'thread', 'worklet', 'Bundle Mode', or any question involving UI, graphics, native modules, or React Native threading and animation behavior. Also use when a more specific sub-skill matches.

導入数
3
GitHub Stars
282
更新日
9月2日
grafana
コミュニティ

assistant-mcp

Connect AI coding agents (Claude Code, Cursor, VS Code, OpenAI Codex) to Grafana Cloud via the mcp-grafana Model Context Protocol server. Installs the server with go install, generates a Grafana service-account token, wires ~/.claude/settings.json or ~/.cursor/mcp.json with the command + env block, runs --disable-write for safer read-only sessions, switches to SSE transport for team-shared / VS Code setups, and verifies with /mcp + a listdatasources round-trip. Use when connecting Claude Code to Grafana, setting up MCP for Grafana, configuring the Grafana MCP server, using Grafana tools in Cursor/VS Code, querying Grafana from an AI agent, sharing the MCP server across a team — even when the user says "give my agent Grafana access", "let Claude see my metrics", or "Cursor + Grafana" without saying "MCP".

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

k6

Generate, validate, and review k6 test scripts — load, stress, spike, soak, smoke, breakpoint, functional, and protocol. Covers HTTP, WebSocket, gRPC, browser, all executors, thresholds, checks, custom metrics, the k6-testing library, k6 Cloud execution, and the xk6 extension ecosystem; uses the xk6-docs CLI (with grafana.com web fallback) for docs lookup and validates every script by running it. Use when writing, generating, validating, or debugging any k6 or load-test script (including plain-language asks like "load test this API" or "stress test my service"), choosing executors/scenarios, or setting thresholds. For end-to-end website performance suites use k6-perf-test-website; for documenting k6 itself use k6-docs.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

k6-cloud-investigate-test

Investigate a Grafana Cloud k6 test — describe the script, list run history, identify pass/fail status, pull raw metric time-series and log lines for one or more runs, and (if asked) safely edit the test script. Use when the user asks about a specific k6 cloud test or run, gives a /a/k6-app/tests/ or /a/k6-app/runs/ URL, asks "is this test passing", "why are my k6 tests failing", "show me metrics for run X", "show me logs for run X", or wants to add thresholds / fix a failing test. Trigger this skill even when the user doesn't explicitly say "investigate" — pasted /a/k6-app/... URLs, "why did run X fail", "what happened with my test", "is my test healthy", "the latest run looks weird", "checks are failing but the run says passed", or any request to diagnose a Grafana Cloud k6 run all qualify.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

k6-docs

Write or review k6 documentation across the three k6 repositories - k6-DefinitelyTyped (TypeScript types), k6-docs (user documentation), and k6 (release notes / changelog). Applies k6 doc style conventions, generates TypeScript type definitions, drafts release notes, and validates examples by running them against k6@master. Use when working on k6 documentation, the k6 changelog, the k6 release notes, k6 API reference, k6 TypeScript types, load testing docs, or when the user asks to write, edit, or review anything in the k6, k6-docs, or k6-DefinitelyTyped repos - even if they don't explicitly say "documentation".

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

k6-manage

Interact with Grafana Cloud k6 (GCk6) — manage load tests, test runs, scripts, projects, schedules, env vars, fetch metrics or logs, and run scripts locally — using the gcx CLI (or direct curl when gcx is unavailable). Use this skill whenever the user mentions a k6 cloud test or run, asks to list/edit/create/start/abort k6 load tests, wants to fetch logs or metrics for a test run, manage k6 project limits or schedules, run a k6 script locally or via k6 cloud run, or needs to call any /cloud/v6/, /cloud/v5/, or k6-app Loki endpoint against a Grafana Cloud stack. Trigger even when the user doesn't explicitly say "gcx" or "API" — phrases like "why did my k6 test fail", "show me logs for run X", "bump VUh limit on project Y", or "update my k6 script" all qualify.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

k6-test-maintenance

Maintain and improve existing k6 test scripts. Covers threshold tightening based on trend data, version migration between k6 releases, auto-fixing tests when the underlying service changes, refactoring for cleanliness, and auditing scripts against current best practices from docs. Use when the user asks to fix a failing k6 test, tighten thresholds, migrate a script to a new k6 version, refactor a test, update a script after a service change, or improve a script with best practices. Trigger on phrases like "fix my k6 test", "tighten my thresholds", "migrate to k6 v2", "update my test script", "refactor this k6 test", "my test is failing after a deploy", "apply best practices to my script", "modernize my k6 test", or "the service changed and my test broke". Also trigger when another skill (k6-trend-analysis or k6-cloud-investigate-test) hands off with a recommendation to edit a script.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

k6-trend-analysis

Analyze Grafana Cloud k6 test run trends over time. Detects slow metric drift (e.g., P95 latency creeping up while still passing thresholds), computes headroom to thresholds, flags anomalies, and recommends threshold tightening. Use when the user asks about test performance trends, wants to know if metrics are degrading, asks whether thresholds should be tightened, or wants a health check across recent runs for a specific test. Trigger on phrases like "how is my test trending", "is P95 getting worse", "check for performance regression", "should I tighten thresholds", "are my tests degrading", "show me trends for test X", "analyze my k6 test runs", or "is my test getting slower". Also trigger when a user asks to check all tests in a project -- run this skill once per test and synthesize.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

loki

Grafana Loki log aggregation and LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp/unpack, label filters, lineformat), Loki architecture, log ingestion via Alloy/Promtail/Fluent Bit, structured metadata, and Logs Drilldown. Use when writing LogQL queries, configuring Loki, troubleshooting log pipelines, or analyzing logs.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

mimir

Stand up Grafana Mimir for horizontally scalable, multi-tenant, long-term Prometheus + OTLP metrics storage. Covers monolithic / read-write / microservices deployment, S3 / GCS / Azure / filesystem block storage, Prometheus remotewrite and OTLP ingestion, multi-tenancy with X-Scope-OrgID, ingester replication factor, compactor retention, and per-tenant limits. Use when running Mimir locally or on Kubernetes (Helm mimir-distributed), scaling Prometheus past a single node, picking ingest / query / backend split, configuring tenants and ingestion rate, debugging /ready 503s or 429 Too Many Requests, or pointing Grafana at a Mimir datasource — even when the user says "I need long-term Prometheus storage", "scale Prometheus", "multi-tenant metrics backend", "Cortex replacement", "remotewrite target", or "store 10M active series" without naming Mimir.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

prometheus

Prometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

pyroscope

Continuously profile applications with Grafana Pyroscope and read the result as flame graphs. Covers three instrumentation paths — language SDK push (Go / Java / Python / Ruby / Node / .NET / Rust), Alloy eBPF auto-instrumentation (no code change, requires kernel 5.8+ with BTF), and SDK → Alloy receiver — plus ProfileQL queries, profile types (CPU / memory / allocations / goroutines / mutex), Grafana Cloud Profiles endpoint, and Span Profiles trace-to-profile linking. Use when adding profiling to a service, deploying Alloy as a cluster-wide eBPF profiler, hunting CPU / memory hotspots from a flame graph, comparing two profiles to find a regression, or correlating a slow Tempo trace to its profile — even when the user says "find what's burning CPU", "flame graph this app", "continuous profiling", "heap hotspots", or "why is allocation so high" without naming Pyroscope.

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

skill-authoring

Author, audit, and improve Grafana SKILL.md files against Anthropic's published Agent Skills guidance and the four-dimension rubric the grafana/skills CI gate uses (conciseness, actionability, workflow clarity, progressive disclosure). Applies the canonical SKILL.md structure (YAML frontmatter + body + references/ + scripts/ + assets/), the "pushy description" trigger pattern, the three-level progressive-disclosure model, and the validate-fix-rerun feedback loop. Use when creating a new skill in this repo, when reviewing a skill PR, when a skill's Tessl review score is below 75 (the merge gate), when a skill's description isn't getting picked up by agents, when restructuring a long SKILL.md into a bundle, or when the user asks how to write, improve, optimize, audit, or fix a skill - even if they don't say "skill" explicitly (e.g. "this isn't triggering", "Tessl scored this 72", "split this doc").

導入数
3
GitHub Stars
246
更新日
9月8日
grafana
コミュニティ

tempo

Stand up Grafana Tempo as a cost-efficient distributed-tracing backend that only needs object storage, and write TraceQL queries against it. Covers OTLP + Jaeger + Zipkin ingestion, the distributor → live-store → block-builder → object-storage write path, metrics-generator for RED spanmetrics + service graphs, Helm tempo-distributed deployment, multi-tenant X-Scope-OrgID, TraceQL span / resource / event scopes, structural operators (, <<), rate() + quantileovertime metrics, and the traces-to-logs / metrics / profiles datasource links. Use when deploying Tempo, writing a TraceQL query for slow / errored requests, debugging "no traces showing in Explore", sizing queriers / compactors, configuring S3 / GCS / Azure block storage, or wiring trace ↔ log ↔ profile correlation — even when the user says "tracing backend", "find slow requests", "show me the service graph", "store traces in S3", "Jaeger compatible store", or "what called this span" without naming Tempo.

導入数
3
GitHub Stars
246
更新日
9月8日
uniswap
コミュニティ

swap-integration

Integrate Uniswap swaps into applications. Use when user says "integrate swaps", "uniswap", "trading api", "add swap functionality", "build a swap frontend", "create a swap script", "smart contract swap integration", "use Universal Router", "Trading API", or mentions swapping tokens via Uniswap.

導入数
3
GitHub Stars
230
更新日
9月1日
achimala
コミュニティ

dream-loop

Build a game or app from a description so that a live screenshot matches a generated rendering. Use when the user says "dream loop" or asks for something built to a very high level of graphical fidelity.

導入数
3
GitHub Stars
215
更新日
9月7日
bybit-exchange
コミュニティ

svg-diagram

SVG diagramming conventions blending a technical look with CJK-friendly typography. Use when creating flowcharts, architecture diagrams, and similar SVG figures. For one-shot generation, prefer invoking it from a subagent so the main context does not have to carry this skill plus the SVG XML; for multi-round tweaking, use it directly in the main context.

導入数
3
GitHub Stars
277
更新日
9月3日
jakubkrehel
コミュニティ

oklch-skill

OKLCH color space for web projects. Convert hex/rgb/hsl to oklch, generate palettes, check contrast, handle gamut boundaries, and theme with Tailwind v4. Triggers on oklch, color conversion, palette generation, contrast ratio, gamut, display p3, design tokens, hue drift, chroma, dark mode colors.

導入数
3
GitHub Stars
238
更新日
8月29日
daleseo
コミュニティ

grammar-checker

표준 한국어 규칙에 기반한 문법, 맞춤법, 띄어쓰기, 구두점 검사기. 맞춤법 오류(되/돼, -ㄴ지/-는지), 띄어쓰기 오류(의존명사, 보조용언), 문법 오류(조사 사용, 시제), 구두점 문제를 감지하고 교정합니다. 다음 상황에 사용하세요. (1) 한국어 문서 작성 후 검토 (2) 작성 중 실시간 교정 (3) 코드의 한국어 주석이나 문서 검사 (4) 설명과 함께 한국어 문법 학습 (5) 공식 문서 품질 보장

導入数
3
GitHub Stars
191
更新日
5月5日
daleseo
コミュニティ

humanizer

AI가 생성한 한국어 텍스트의 특징적인 패턴을 감지하고 자연스러운 인간의 글쓰기로 변환합니다. 과학적 언어학 연구(KatFishNet 논문, 94.88% AUC 정확도)에 기반합니다. 쉼표 과다, 띄어쓰기 경직성, 품사 다양성, AI 어휘 과용, 번역투(에 대해/통해/되어진다), 대명사 과다, 복수형 과다, 구조적 단조로움 등 40가지 패턴을 S1/S2/S3 심각도로 분석합니다. ChatGPT/Claude/Gemini가 생성한 한국어 텍스트를 자연스럽게 만들거나 LLM 출력에서 AI 흔적을 제거할 때 사용하세요.

導入数
3
GitHub Stars
191
更新日
5月5日
daleseo
コミュニティ

style-guide

문서 내부 또는 프로젝트 전체에서 일관된 작성 스타일을 유지하도록 돕는 검사기. 어조(경어체/반말), 용어(사용자/유저), 숫자 형식, 목록 스타일, 따옴표, 날짜/시간 형식의 불일치를 감지합니다. 다중 작성자 문서 검토 시, 프로젝트 전체 용어 표준 유지 시, 공식 문서 준비 시, 브랜드 일관성을 위한 문서 작업 시 사용하세요.

導入数
3
GitHub Stars
191
更新日
5月5日
rhavekost
コミュニティ

fiction-workshop

Use when writing or editing novels, short stories, or any fiction manuscript. Trigger on: 'write fiction', 'edit my novel', 'developmental edit', 'line edit', 'character voice', 'plot hole', 'brainstorm', or fiction writing tasks.

導入数
3
GitHub Stars
14
更新日
7月22日
oyjt
コミュニティ

lanhu-design

Use for Lanhu (蓝湖) UI design handoffs and lanhuapp.com design project links: list design screens, inspect screenshots and HTML/CSS specs, extract design tokens, download slices/assets, or implement UI. Trigger when the request explicitly mentions 蓝湖, Lanhu, lanhuapp.com, or the bundled Lanhu scripts. Do not use for standalone Figma/Sketch files, generic UI implementation, PRD/Axure docId links, or image editing unrelated to Lanhu.

導入数
3
GitHub Stars
8
更新日
8月12日
wshobson
コミュニティ

prompt-engineering-patterns

- This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.

導入数
3
GitHub Stars
3.9万
更新日
9月7日