Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,100 skills from 2,196 repositories · updated 10 hours ago
44,137 skills
- invalid-data-cleaningOpenSenseNova/SenseNova-Skills用于大规模Excel数据的预处理，通过统计总行数判断是否转换为Parquet格式以提升读写效率，并使用正则表达式清洗指定文本列（如仅保留中文字符），最后导出清洗后的文件并提供下载链接。DocumentsNo warnings★ 5.9K↓ —
- council0xNyk/council-of-high-intelligenceStructured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.EngineeringNo warnings★ 4.7K↓ —Also in 1 other repo
- melonjs-pluginsmelonjs/melonJSUse this skill when adding a melonJS plugin or adapter — the debug panel, Spine skeletal animation, compressed Tiled map support, Capacitor packaging — or when writing your own plugin. Covers plugin.register and its version gate, plugin.cache, plugin.patch, and why physics adapters are not plugins. Triggers on: plugin, plugin.register, plugin.cache, plugin.get, plugin.patch, BasePlugin, debug-plugin, DebugPanelPlugin, SpinePlugin, TiledInflatePlugin, CapacitorPlugin, adapter, custom plugin, plugin version mismatch, already registered.MediaNo warnings★ 6.4K↓ —
- game-feelgamedev-skills/awesome-gamedev-agent-skillsAdd "juice" and game feel that makes actions satisfying — screen shake, hit-stop/freeze frames, tweened/eased motion, squash & stretch, knockback, and layered audio-visual feedback — as engine-neutral techniques that pair with the detected engine's tween, particle, and camera APIs. Use when the user mentions game feel, juice, "make it feel good/punchy", screen shake, hit stop, screen freeze, easing, squash and stretch, impact frames, or feedback/polish on hits, jumps, pickups, and deaths.MediaNo warnings★ 4.6K↓ —
- godot-2d-movementgamedev-skills/awesome-gamedev-agent-skillsImplement 2D kinematic character movement in Godot 4.7 with CharacterBody2D and move_and_slide(): platformer run/jump with gravity, top-down 8-direction motion, slope handling, and reading collisions. Use when coding a 2D player or enemy controller, a platformer or top-down character, or fixing move_and_slide()/ is_on_floor() behavior in a .tscn with a CharacterBody2D.EngineeringNo warnings★ 4.6K↓ —
- okx-guideinternet-court/internet-court-skillOnchain OS onboarding & guide hub — the single entry for first-time, 'what is this / how do I use it', OKX.AI, and customer-support intents; classifies the intent and routes to the right sub-flow via its Intent Routing table. Covers: (1) Onchain OS onboarding + welcome banner — 'what is onchainos', 'what is onchain os', 'what can it do', 'what can onchainos do', 'what does onchainos do', 'how do I use this', 'how do I play', 'how to use onchainos', 'how to play onchainos', 'how does onchainos work', 'how do I start', 'getting started', 'tutorial', 'onboarding', 'first time', 'I just installed', 'now what', 'what do I do now', 'where do I start', 'who are you', 'what are you', 'introduce onchainos', 'tell me about onchainos', 'I'm new'; (2) OKX.AI intro & role-registration routing (the Agent economic system — roles User / ASP / Evaluator) — 'what is OKX.AI', 'OKX.AI 是什么', 'how to use OKX.AI', 'OKX.AI 快速开始', and any spelling / spacing / casing / typo variant (OKXAI, okx ai, okx-ai, lowercase okx.ai, 啥是okxai); (OtherNo warnings★ 7K↓ —Also in 1 other repo
- k6-cloud-investigate-testgrafana/skillsInvestigate 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/<id>` or `/a/k6-app/runs/<id>` 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.OfficialTestingNo warnings★ 290↓ —
- database-observabilitygrafana/skillsSet up Grafana Cloud Database Observability for MySQL and PostgreSQL — enables `pg_stat_statements` / Performance Schema, creates a least-privilege monitoring user, configures the `database_observability.postgres` / `database_observability.mysql` Alloy components, ships query samples + visual explain plans + RED metrics + schema details to Grafana Cloud, and correlates slow queries with application traces via `db.statement` / `db.system` OTel attributes. Use when monitoring database performance, diagnosing slow queries, setting up DB observability for RDS / Aurora / Cloud SQL / Azure Database / self-managed instances, correlating DB metrics with APM, or alerting on query latency — even when the user says "my database is slow", "find the slow queries", or "monitor RDS" without saying "observability".OfficialDevOpsNo warnings★ 290↓ —
- prometheus-label-strategygrafana/skillsExpert evaluator for Prometheus label strategy on Grafana Cloud. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, histogram bucket discipline, and instrumentation hygiene. Prevents high cardinality at the source — in application code and scrape target labels — without dropping labels that make series unique (which breaks the data). For reducing the cost of series already in Grafana Cloud, routes to the adaptive-metrics skill. Use when the user asks to evaluate, audit, design, or improve Prometheus labels — or asks how to prevent high cardinality at the source. For "why is my Prometheus slow / expensive right now" triage, see prometheus-cardinality-troubleshooter.OfficialDesignNo warnings★ 290↓ —
- frontend-session-rcagrafana/skillsDiagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Optional follow-up: zoom in on the top error, impact across sessions, Session Replay, or a Tempo trace if the user asks. Fetches telemetry with `gcx frontend sessions get --save` and reads only that dump file. Use when the user asks to explain, diagnose, analyse, RCA, or review a session; asks if a session is healthy; pastes Frontend Observability session context (app id, session id, datasource UID); or mentions Faro, user journey, Core Web Vitals, exceptions, ANR, or a web or mobile RUM session — even if they do not say "session narrator" or "frontend-session-rca". Do not use this skill to instrument an app (Faro Web, React Native, Flutter, native OpenTelemetry) — use `app-observability` for Faro Web setup instead.OfficialDesignNo warnings★ 290↓ —
- melonjs-effects-and-shadersmelonjs/melonJSUse this skill for post-processing effects, custom shaders, blend modes and colour grading in melonJS. Covers the built-in ShaderEffect presets, addPostEffect on renderables and cameras, writing a custom dual-language GLSL/WGSL effect, the screen_texture builtins, and why effects silently do nothing on the Canvas fallback. Triggers on: Tween, easing, animate an effect, ShaderEffect, addPostEffect, removePostEffect, getPostEffect, postEffectNeedsCapture, VignetteEffect, GlowEffect, BlurEffect, PixelateEffect, ScanlineEffect, shader, GLSL, WGSL, uniform, setUniform, setTexture, setTime, blendMode, colorMatrix, screen_texture, toFrameTexture, post effect, filter.MediaNo warnings★ 6.4K↓ —
- humanize-redoepoko77-ai/im-not-ai가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 run_id에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".WritingNo warnings★ 6.3K↓ —Also in 1 other repo
- cue-kind-definitiongrafana/skillsAuthor CUE kind definitions for grafana-app-sdk apps - schemas, versioning, field constraints, named type definitions, custom routes, and codegen configuration. Scaffolds kinds via `grafana-app-sdk project kind add`, writes spec/status schemas with type constraints (regex, enum, range), defines `#`-prefixed named types for reusable structs, registers versions in the app manifest, and runs `grafana-app-sdk generate` with explicit error recovery. Use when working with CUE kinds, adding a new resource type, adding a version to an existing kind, writing schema field constraints, defining `#Definition` types, adding custom routes, editing files under `kinds/`, or when the user asks to "model a resource", "add a CUE schema", or "write a kind" — even without saying "CUE" explicitly.OfficialWritingNo warnings★ 290↓ —
- loki-label-analyzergrafana/skillsExpert 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.OfficialDesignNo warnings★ 290↓ —
- jupiter-lendinternet-court/internet-court-skillInteract with Jupiter Lend Protocol. Read-only SDK (@jup-ag/lend-read) for querying liquidity pools, lending markets (jlTokens), and vaults. Write SDK (@jup-ag/lend) for lending (deposit/withdraw) and vault operations (deposit collateral, borrow, repay, manage positions).WritingNo warnings★ 7K↓ —
- dowhybrycewang-stanford/Auto-Empirical-Research-SkillsCausal inference framework for answering "does X cause Y?" beyond correlation. DoWhy (Microsoft Research) provides the identify-estimate-refute loop: define a causal graph (DAG), identify the causal effect using backdoor/frontdoor/instrumental variable criteria, estimate treatment effects with multiple estimators, and validate results with automated refutation tests. Use when: distinguishing causation from correlation, estimating treatment effects (ATE, ATT, CATE), designing and analyzing A/B tests with confounders, using instrumental variables, performing counterfactual reasoning ("what would have happened if..."), validating causal claims with sensitivity analysis, working with observational data where randomization is impossible, or any analysis where the question is "what is the CAUSAL effect of X on Y" rather than just "how do X and Y relate?"TestingNo warnings★ 4.8K↓ —
- platform-detectiondotnet/skillsIdentify a .NET project's test platform, framework, command mode, and SDK-style vs classic project system. Use only for "which test platform/framework?", "VSTest or MTP?", or "what runner does this project use?", including bridge settings, UseVSTest opt-outs, and incompatible or conflicting VSTest/MTP configuration. Resolves global.json, project, packages.config, Directory.Build.props, and Directory.Packages.props precedence for MSTest/xUnit/NUnit/TUnit. DO NOT USE when the user asks to run/filter tests or for commands, flags, TRX/dumps, or test-command/filter errors; use run-tests directly. Do not route hot-reload or migration requests here as the entry skill; mtp-hot-reload may use this skill internally for platform detection.TestingNo warnings★ 5.7K↓ —
- clr-activation-debuggingdotnet/skillsDiagnoses .NET Framework CLR activation issues using CLR activation logs (CLRLoad logs) produced by mscoree.dll. Use when: the shim picks the wrong runtime, fails to load any runtime, shows unexpected .NET 3.5 Feature-on-Demand (FOD) dialogs, unexpectedly does NOT show FOD dialogs, loads both v2 and v4 into the same process causing failures, or any time someone is wondering "what is happening with .NET Framework activation?"EngineeringNo warnings★ 5.7K↓ —
- melonjs-camera-and-drawingmelonjs/melonJSUse this skill for camera control and immediate-mode drawing in melonJS — following a target, viewport bounds, shake and fade, secondary cameras and what each one draws, and drawing shapes, lines and gradients inside a custom draw(). Covers world versus screen coordinate conversion, clipping and masking, baking with CanvasRenderTarget, and reading pixels back. Triggers on: Camera2d, viewport, follow, offset, look ahead, setBounds, minimap, second camera, split screen, cullMask, visibilityLayer, hide from a camera, shake, fadeIn, fadeOut, worldToLocal, localToWorld, colorMatrix, renderer.fill, renderer.stroke, Rect, Ellipse, Polygon, Line, Gradient, clipRect, mask, CanvasRenderTarget, NoiseTexture2d, lookAt, setBasis, toImageData, getImageData, toBlob, toDataURL, screenshot, read pixels.MediaNo warnings★ 6.4K↓ —
- plugin-bundle-sizegrafana/skillsOptimise Grafana app plugin bundle size using React.lazy, Suspense, and webpack code splitting. Use when the user asks to reduce plugin bundle size, optimise module.js, add code splitting, improve initial plugin load performance, split plugin chunks, lazy load plugin pages, or help implement lazy loading in a Grafana app plugin. Triggers on phrases like "optimise plugin bundle size", "module.js is too large", "plugin is slow to load", "code split the plugin", "reduce initial JS payload", or "help me with Suspense in my plugin".OfficialEngineeringNo warnings★ 290↓ —
- deepchat-sddThinkInAIXYZ/deepchatUse before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable RFC and an explicit execution path. Skip trivial style fixes, small localized logic changes, routine docs edits, and simple bugs unless the developer asks for SDD. Use plan.md as the only separate tracker when needed, default to implementation-first validation, and ask before optional GitHub issue sync unless the developer explicitly requested sync.TestingNo warnings★ 6.4K↓ —
- linkedin-interviewersergebulaev/linkedin-skillsInterview the user for the raw material their posts are made of. Builds a lasting Story Bank of roles, numbers, turning points, scars and positions, or runs a focused interview that turns one topic into a post spine. Use when a draft has nothing concrete to draw on, or the user says interview me. Not for learning how they write (use linkedin-humanizer --mode profile).MarketingNo warnings★ 5.2K↓ —Also in 1 other repo
- seo-auditRyze-AI-Adgent/open-seo-mcp-skillsFull SEO audit of a site from its real Search Console + GA4 data — indexation health, CTR anomalies, decaying pages, striking-distance keywords, quick wins. Use when asked to "audit my site", "SEO audit", "why is my organic traffic down", or "SEO health check".MarketingNo warnings★ 7.4K↓ —
- compute-env-setupaipoch/open-sciencePrepare reproducible setup instructions and validate a user-managed named software environment on an Open-Science SSH Compute Host, including direct SSH and Slurm hosts. Use when a remote job needs packages, modules, cache variables, or a repeatable activation that the host does not already provide.ScienceNo warnings★ 5.4K↓ —
humanize-chinese
brycewang-stanford/Auto-Empirical-Research-Skills
WritingUpdated 19 hours ago
From the author
Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC sc
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill humanize-chinese -a claude-code
Installs to .claude/skills/humanize-chinese/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
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Why 91
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Maintenance100
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Files (3)
- LICENSE
- README-original.md
- SKILL.md