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.
48,168 skills from 2,325 repositories · updated 5 hours ago
48,166 skills
- egm-reviewNewgoogle/elephant-goldfish-modelOrchestrates the EGM Goldfish Review Protocol. Used as part of the EGM process to perform design document reviews. Executes five review phases: Initial Zoom Out Review, Comprehension Review, Design Critique, Intermediate Zoom Out Review, and Implementation Readiness.EngineeringNo warnings★ 7K↓ —Also in 1 other repo
- mongodb-qe-size-estimationmongodb/agent-skillsEstimates the storage and memory impact of encrypting fields in collections with Queryable Encryption (QE) enabled. Do NOT use for collections that use Client-Side Field Level Encryption (CSFLE) instead of QE.OfficialProductivityNo warnings★ 193↓ —Also in 2 other repos
- indication-dossieraipoch/open-scienceGenerate a therapeutic indication dossier. Covers the patient population, epidemiology, disease biology, standard of care, regulatory precedent, and landmark clinical trials.ScienceNo warnings★ 5.4K↓ —
- remote-compute-sshaipoch/open-scienceEvaluate and use SSH Remote Compute before choosing where to run GPU, high-memory, parallel, batch, model-inference, bioinformatics, or other long-running scientific work; supports short remote commands and asynchronous jobs with automatic harvest and analysis.ScienceNo warnings★ 5.4K↓ —
- ligandmpnnaipoch/open-scienceInverse-fold a backbone with ligand, nucleic-acid, and metal context using LigandMPNN (Dauparas et al. 2023, github.com/dauparas/LigandMPNN). Reach for this skill to redesign the residues lining a binding pocket around a bound small molecule or cofactor, to design metal-coordinating sites where the geometry must be respected, or to get threaded designed-sequence PDBs out of any MPNN run.DesignNo warnings★ 5.4K↓ —
- proteinmpnnaipoch/open-scienceInverse-fold a protein backbone (PDB structure) into amino-acid sequence with ProteinMPNN (Dauparas et al. 2022, github.com/dauparas/ProteinMPNN). Reach for this skill to run sequence design on RFdiffusion backbones, to redesign one chain of a PDB while holding interface residues fixed, or to generate a temperature-swept set of sequences for downstream folding.DesignNo warnings★ 5.4K↓ —
- solublempnnaipoch/open-scienceInverse-fold a backbone with SolubleMPNN — ProteinMPNN retrained on a soluble-PDB subset (Dauparas et al. 2022) — for sequences biased toward cytosolic expression and reduced aggregation. Reach for this skill when designs from vanilla ProteinMPNN are aggregating or going to inclusion bodies, when redesigning a membrane-adjacent fold for soluble expression, or when an E. coli expression screen is the next step.OtherNo warnings★ 5.4K↓ —
- mirrord-propagation-discoverymetalbear-co/mirrordScans a live Kubernetes environment with `mirrord dump` to find an identifier mirrord can filter traffic on: a header, a `baggage` or `tracestate` member, a tenant or user id, a trace id (W3C, B3, X-Ray, Google, Jaeger), a JWT claim, a cookie, a path segment, or a JSON body field that is present on every hop of a request chain, unique to one developer's traffic, and settable by that developer. Runs mirror-only dumps on each service, sends a tagged probe request at the edge or observes real traffic, scores the candidates, and produces the matching `http_filter` (regex, jq on headers, path, method, body, or combinations) plus a per-hop report of where each identifier is dropped. Installs the mirrord CLI through a package manager when it is missing. Use when the user asks what to filter on, whether the cluster already propagates a request id or trace context, how to isolate their own requests on a shared staging cluster, how to filter on a JWT or cookie with mirrord, or wants to inspect live traffic with mirrordDevOpsNo warnings★ 5.4K↓ —
- 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↓ —
- extract-designManavarya09/design-extractExtract the full design language from any website URL. Produces 8 output files including AI-optimized markdown, visual HTML preview, Tailwind config, React theme, shadcn/ui theme, Figma variables, W3C design tokens, and CSS variables. Also runs WCAG accessibility scoring. Use when user says 'extract design', 'get design system', 'design language', 'design tokens', 'what colors/fonts does this site use', 'turn this URL into design tokens', 'make a Tailwind theme from this site', or '/extract-design'. Do not use for building a new UI from scratch unless the user first wants to extract an existing website's design language.DesignNo warnings★ 4.4K↓ —
- mirrord-upmetalbear-co/mirrordHelps users run multiple concurrent mirrord sessions from a single mirrord-up.yaml (compose-style multi-service local debugging). Use when the user mentions mirrord up, mirrord-up.yaml, mirrord up init, debugging several related microservices together, or managing multiple mirrord sessions' lifecycle in one command.EngineeringNo warnings★ 5.4K↓ —
- synthetic-monitoring-checksgrafana/skillsAuthor 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.OfficialTestingNo warnings★ 300↓ —
- melonjs-display-and-scalingmelonjs/melonJSUse this skill when a melonJS game looks blurry, soft, shimmering or cropped, or when choosing how the canvas fills its page. Covers the design resolution, scale and scaleMethod, scaleTarget, scaleRounding for pixel-perfect integer scaling, antiAlias, textureFilter and linear-mipmap for what is drawn small, subPixel, syncToDisplay for steady motion, devicePixelRatio, and which setting does which job. Triggers on: blurry, soft, fuzzy, shimmering, pixel art, pixel perfect, crisp, nearest, linear, scale, scaleMethod, scaleTarget, scaleRounding, integer scaling, antiAlias, textureFilter, linear-mipmap, mipmaps, minimap shimmer, zoomed out, subPixel, syncToDisplay, stutter, judder, uneven scrolling, devicePixelRatio, retina, hidpi, design resolution, canvas size, canvas cropped, letterbox, image-rendering, upscale, resolution.DesignNo warnings★ 6.4K↓ —
- 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↓ —
- melonjs-eventsmelonjs/melonJSUse this skill for the melonJS event bus and lifecycle hooks — subscribing to engine events, the per-frame and per-state event names, renderable lifecycle callbacks, and how to unsubscribe without leaking. Triggers on: event.on, event.off, event.once, event.emit, GAME_UPDATE, GAME_BEFORE_DRAW, LEVEL_LOADED, LOADER_COMPLETE, STATE_CHANGE, CANVAS_ONRESIZE, POINTERMOVE, WORLD_STEP, onActivateEvent, onDeactivateEvent, onDestroyEvent, lifecycle, subscribe, listener.MediaNo warnings★ 6.4K↓ —
- sn-da-excel-workflowOpenSenseNova/SenseNova-SkillsExcel 数据分析多步编排器。覆盖：(1) 读取多 Sheet Excel 文件并统计行数，(2) 大文件检测（≥10k 行自动 Parquet 优化），(3) 数据清洗（缺失值、文本标准化、无效字符），(4) 条件筛选与分类提取，(5) 跨 Sheet 统计聚合，(6) 导出 Excel/CSV 并提供下载链接。覆盖从数据读取到报告生成全流程，按步骤编排 capability 子 skill。**遇到以下任一情况就主动使用本 skill，不要自行写几行 pandas 就回答**：①用户出现触发词：Excel 分析 / 表格分析 / 数据分析 / 数据清洗 / 数据统计 / 数据筛选 / 数据可视化 / 数据导出 / 汇总统计 / 透视表 / 分组统计 / 交叉分析 / 趋势分析 / 对比分析 / 异常值检测 / 去重 / 缺失值处理 / Excel 报告 / 生成报表 / analyze Excel / data analysis / data cleaning / pivot table；②用户上传或指定了 .xlsx / .xls / .csv 文件并要求分析、清洗、统计或可视化；③任务涉及多 Sheet 读取、条件筛选、分类汇总、图表生成中的任意一项；④用户要求导出带格式的 Excel 报告或下载链接。仅不用于：不涉及表格数据的纯文本处理、图片分析（使用 sn-da-image-caption）、单个公式计算的简单问答。DocumentsNo warnings★ 6K↓ —
- claude-apianthropics/skillsReference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST OfficialEngineeringNo warnings★ 185.7K↓ —Also in 1 other repo
- 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↓ —
- slack-gif-creatoranthropics/skillsKnowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."OfficialMediaNo warnings★ 185.7K↓ —Also in 3 other repos
- designlang-tokensManavarya09/design-extractUse when styling UI for supabase.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- improve-skill-qualitydotnet/skillsDiagnoses and fixes skills in the dotnet/skills repository that lose to their own baseline, fail to activate, time out, or return "no credible improvement". Use when an evaluation verdict is a regression or underpowered, when a skill regressed after a change, when /evaluate reports no results, or when deciding whether a weak skill should be strengthened or retired. Do not use for scaffolding a brand-new skill (use create-skill) or a brand-new eval (use create-skill-test).TestingNo warnings★ 5.8K↓ —
- single-sheet-reading-and-analysisOpenSenseNova/SenseNova-Skills读取并解析单个Excel工作表数据，支持合并单元格处理、数据清洗、交叉分析及多维度可视化，适用于需要从单表中提取关键指标并进行趋势模拟与图表生成的场景。DocumentsNo warnings★ 6K↓ —
- customizeaipoch/open-scienceUse when the user wants to create or manage a Specialist agent or create, revise, publish, or delete a Skill through the conversational `/Customize` entry. Routes Skill work to the internal skill-creator and handles Specialist work through the JavaScript host.agents SDK.PlanningNo warnings★ 5.4K↓ —
- test-driven-devzebbern/claude-code-guideTest-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.TestingNo warnings★ 4.7K↓ —
nansen-holder-analysis
internet-court/internet-court-skill
OtherUpdated 5 days ago
From the author
Is this token held by quality wallets or retail noise? SM holder ratio, flow breakdown by label, and recent buyer quality.
Install
npx skills add internet-court/internet-court-skill --skill nansen-holder-analysis -a claude-code
Installs to .claude/skills/nansen-holder-analysis/ · 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
Safety checks on SKILL.md
No warnings.
Why 91
Security100
Provenance86
Maintenance100
Licence100
Adoption61
Files (2)
- LICENSE
- SKILL.md