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 14 hours ago
48,168 skills
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 97.8K↓ —
- plotlyforyourhealth111-pixel/Vibe-SkillsInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).DocumentsNo warnings★ 3.8K↓ —Also in 2 other repos
- aeonforyourhealth111-pixel/Vibe-SkillsThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.PlanningNo warnings★ 3.8K↓ —Also in 1 other repo
- closedavepoon/buildwithclaudeCommit the session to durable vault memory and prepare a clean resume pointEngineeringNo warnings★ 3.7K↓ —
- wiki-synthesizeAr9av/obsidian-wikiFind recurring concept combinations across the wiki that lack an explicit synthesis page, then create cross-cutting synthesis pages. Use for knowledge synthesis after the vault has accumulated enough material.OtherNo warnings★ 3.6K↓ —
- ops-orchestratedavepoon/buildwithclaudeAutonomous multi-project orchestration engine. Audits all registered projects, structures work into dependency-wired tasks, dispatches parallel agents (subagents or Agent Teams), audits completions, and ships PRs. Registry-driven — works for any user with a configured project registry.ProductivityNo warnings★ 3.7K↓ —
- neon-functionsneondatabase/agent-skillsLong-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, an MCP server, or any request/response workload that risks timing out on short, lambda-style serverless functions — and wants it to branch with their database. Also use for Function Triggers: a cron or an object-storage event that POSTs to a function. Triggers include "serverless function", "deploy an API", "long-running function", "streaming agent", "SSE server", "WebSocket server", "webhook handler", "MCP server", "cron", "scheduled function", "object storage trigger", "on upload", "function that won't time out", "function logs", "Neon Functions", "Neon Compute", "DDoS protection", "rate limiting", and "production hardening". For live UIs over database rows, use neon-realtime.OfficialDevOpsNo warnings★ 108↓ —Also in 1 other repo
- abridge-cost-tuningjeremylongshore/tons-of-skills-marketplaceEvaluate Abridge adoption, workflow value, and avoidable operational friction without inventing prices or vendor billing meters. Use when reviewing an Abridge rollout or renewal. Trigger with "analyze Abridge value".ProductivityNo warnings★ 2.9K↓ —
- wiki-importAr9av/obsidian-wikiImport a wiki graph into the current vault from graph.json or an OKF/markdown bundle. Use for transferring previously exported wiki content between vaults; pair with wiki-export for the reverse direction.OtherNo warnings★ 3.6K↓ —
- gsd:discuss-phasedavepoon/buildwithclaudeGather phase context through adaptive questioning before planning. Use --all to skip area selection and discuss all gray areas interactively. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).DesignNo warnings★ 3.7K↓ —
- remove-deadcodecode-yeongyu/oh-my-openagentRemove unused code from this project with ultrawork mode, LSP-verified safety, atomic commits. Triggers: remove dead code, dead code, cleanup, remove unused.EngineeringNo warnings★ 70.5K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- tao-finetune-video-clipNVIDIA/skillsInternVideo2-CLIP L14 (TAO video_clip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. Use when the user asks to "fine-tune IV2CLIP", "run video_clip train/evaluate/inference/export", "build a Video-CLIP TensorRT engine", "InternVideo2-CLIP on KPI chunks", or "TAO video_clip on vadr1_chunks JSON".MediaNo warnings★ 3.8K↓ —
- vercel-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Vercel API rate limits, implement retry logic, and configure WAF rate limiting. Use when hitting 429 errors, implementing retry logic, or setting up rate limiting for your Vercel-deployed API endpoints. Trigger with phrases like "vercel rate limit", "vercel throttling", "vercel 429", "vercel retry", "vercel backoff", "vercel WAF rate limit".DevOpsNo warnings★ 2.9K↓ —
- scikit-bioforyourhealth111-pixel/Vibe-SkillsBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.ScienceNo warnings★ 3.8K↓ —
- reasoningjeremylongshore/tons-of-skills-marketplaceUse BEFORE answering analytical, diagnostic, planning, or multi-step reasoning questions. Trigger phrases include "should I X or Y", "why is X happening", "what's the best approach", "what are the tradeoffs", "help me think through", "diagnose", "root cause", "plan/design X", "what are the implications of", "compare these approaches". Also fires on cross-domain analysis, strategy questions, architecture decisions, or anything requiring multiple factors to be weighed before responding. The skill calls the reasoning MCP tool to retrieve a cognitive scaffold (named failure pattern, executable procedure, suppression vectors, falsification test) the model absorbs internally before generating its response. Catches causal shortcuts, premature conclusions, generic templates, and surface pattern matching that produce confidently-wrong answers. Do NOT trigger for simple factual lookups, syntax questions, file reads, code execution, or restating the user's input.TestingNo warnings★ 2.9K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanningNo warnings★ 3.7K↓ —
- llm-wikiAr9av/obsidian-wikiExplain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.PlanningNo warnings★ 3.6K↓ —
- scientific-data-preprocessingforyourhealth111-pixel/Vibe-Skills⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.ScienceNo warnings★ 3.8K↓ —
- red-handed-auditdavepoon/buildwithclaudeCheck whether the tests the agent said passed actually ran. Reads the Claude Code session transcript and git state locally, then reports each gap with a timestamp and the quoted line. No model calls, nothing leaves the machine.TestingNo warnings★ 3.7K↓ —
- sepiaUpdatedNanako0129/sepiaMake AI-generated writing read as human-written, in fiction and in professional prose. Repairs the narrative architecture of fiction and stories (based on StoryScope, arXiv:2604.03136); routes professional text through domain rules for release notes, announcements, PR and issue replies, code-review comments, incident postmortems, tickets, work orders, technical articles, blog posts, and long-form journalism. Four operations - write, review (diagnose AI tells without editing), refactor (minimal in-place edits), recreate (full rewrite). Use when asked to humanize, de-AI, unslop, or strip AI flavor from any text; when writing or revising any of these document types; or whenever output must not read as machine-written.ScienceNo warnings★ 3.6K↓ —
- kiro-verify-completiongotalab/cc-sddVerify completion and success claims with fresh evidence. Use before claiming a task is complete, a fix works, tests pass, or a feature is ready for GO.TestingNo warnings★ 3.7K↓ —
- nemo-rl-docsNVIDIA/skillsDocumentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation.TestingNo warnings★ 3.8K↓ —
- comprehensive-research-agentforyourhealth111-pixel/Vibe-SkillsEnsure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool callsScienceNo warnings★ 3.8K↓ —
exa-sdk-patterns
jeremylongshore/tons-of-skills-marketplace
EngineeringUpdated 23 hours ago
From the author
Isolate exa-js or exa-py behind an application-owned adapter that preserves current request semantics and safe evidence. Use when operating or reviewing this Exa boundary. Trigger with "Exa sdk patterns", "review Exa sdk patterns", or "fix Exa sdk patterns".
Install
npx skills add jeremylongshore/tons-of-skills-marketplace --skill exa-sdk-patterns -a claude-code
Installs to .claude/skills/exa-sdk-patterns/ · 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 90
Security100
Provenance82
Maintenance100
Licence100
Adoption55
Files (2)
- SKILL.md
- references/official-docs.md