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.
13,203 skills from 383 repositories · updated 24 minutes ago
13,094 skills
- vercel-react-best-practicesCherryHQ/cherry-studioReact and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.EngineeringNo warnings★ 52.8K↓ —
- repo-story-timegithub/awesome-copilotGenerate a comprehensive repository summary and narrative story from commit historyEngineeringNo warnings★ 40.3K↓ —
- angular-migrationwshobson/agentsMigrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.PlanningNo warnings★ 41.4K↓ —
- paypal-integrationwshobson/agentsIntegrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.OtherNo warnings★ 41.4K↓ —
- team-composition-patternswshobson/agentsDesign optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.SecurityNo warnings★ 41.4K↓ —
- linkerd-patternswshobson/agentsImplement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.SecurityNo warnings★ 41.4K↓ —
- llm-evaluationwshobson/agentsImplement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.TestingNo warnings★ 41.4K↓ —
- airflow-dag-patternswshobson/agentsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.TestingNo warnings★ 41.4K↓ —
- loopysickn33/agentic-awesome-skillsDiscover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication.OtherNo warnings★ 48.2K↓ —
- find-bugssickn33/agentic-awesome-skillsFind bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.SecurityNo warnings★ 48.2K↓ —
- githubsickn33/agentic-awesome-skillsUse the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.EngineeringNo warnings★ 48.2K↓ —
- parallel-debuggingwshobson/agentsDebug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.EngineeringNo warnings★ 41.4K↓ —
- spark-environment-setupwshobson/agentsSet up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.OtherNo warnings★ 41.4K↓ —
- scanwshobson/agentsScans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand-anything + context-mode when available, falls back to native tools otherwise. Only updates AGENTS.md on detected architectural changes with human confirmation.PlanningNo warnings★ 41.4K↓ —
- stripe-integrationwshobson/agentsImplement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.LegalNo warnings★ 41.4K↓ —
- scientific-critical-thinkingK-Dense-AI/scientific-agent-skillsEvaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer review writing belongs to peer-review.ScienceNo warnings★ 53.4K↓ —
- hunt-corssickn33/agentic-awesome-skillsHunt CORS MisconfigurationOtherNo warnings★ 48.2K↓ —
- fal-audiosickn33/agentic-awesome-skillsText-to-speech and speech-to-text using fal.ai audio modelsMediaNo warnings★ 48.2K↓ —
- julia-prosickn33/agentic-awesome-skillsMaster Julia 1.10+ with modern features, performance optimization, multiple dispatch, and production-ready practices.OtherNo warnings★ 48.2K↓ —
- folklore-variant-evidenceK-Dense-AI/scientific-agent-skillsRetrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.ScienceNo warnings★ 53.4K↓ —
- hunt-csrfsickn33/agentic-awesome-skillsHunting skill for csrf vulnerabilities.SecurityNo warnings★ 48.2K↓ —
- mobile-ios-designwshobson/agentsMaster iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.DesignNo warnings★ 41.4K↓ —
- jqsickn33/agentic-awesome-skillsExpert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.OtherNo warnings★ 48.2K↓ —
- pwn-chainsickn33/agentic-awesome-skillsGo from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets.DataNo warnings★ 48.2K↓ —
scientific-critical-thinking
K-Dense-AI/scientific-agent-skills
From the author
Evaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer review writing belongs to peer-review.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill scientific-critical-thinking -a claude-code
Installs to .claude/skills/scientific-critical-thinking/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 95
Files (9)
- SKILL.md
- references/common_biases.md
- references/core_capabilities.md
- references/evidence_hierarchy.md
- references/experimental_design.md
- references/logical_fallacies.md
- references/review_sources.md
- references/scientific_method.md
- references/statistical_pitfalls.md