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.
48,622 skills from 2,355 repositories · updated 8 hours ago
48,622 skills
- feedbackdavepoon/buildwithclaudeTurn post-task feedback—even blunt or angry feedback—into an evidence-based, approval-gated improvement plan for the agent/user workflow. Use after agent work goes wrong, misses expectations, creates friction, or should improve in future. Never mutate during the feedback turn.PlanningNo warnings★ 3.7K↓ —
- postwiredavepoon/buildwithclaudePublish and schedule to TikTok, Instagram, YouTube, LinkedIn, X, Bluesky, Mastodon, Facebook, Threads, Reddit, Telegram and Discord through one PostWire API call — writing a separate, native version of the post for each network instead of sending identical text everywhere. Use when the user wants to publish or schedule one idea across several platforms, wants per-network captions, or wants to know why a post was rejected before it is sent.MarketingNo warnings★ 3.7K↓ —
- ops-doctordavepoon/buildwithclaudeHealth check and auto-repair for the ops plugin. Diagnoses manifest errors, broken permissions, invalid configs, stale caches, and missing files — then spawns an agent to fix everything automatically.OtherNo warnings★ 3.7K↓ —
- principle-sequence-verifiable-unitsbacknotprop/pstackApply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs. Break work into small units that each end in a verifiable state, check each before the next, and order delivery so the sequence proves itself to a reviewer.WritingNo warnings★ 3.3K↓ —
- 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↓ —
- 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★ 98.9K↓ —
- thumbgatedavepoon/buildwithclaudeA single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClawEngineeringNo warnings★ 3.7K↓ —
- internal-commsdavepoon/buildwithclaudeA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).WritingNo warnings★ 3.7K↓ —
- awesome-chatgpttaishi-i/awesome-ChatGPT-repositoriesSearch this repository's awesome-ChatGPT-repositories list for open-source ChatGPT and LLM projects such as RAG frameworks, agents, chatbots, CLIs, prompts, and browser extensions. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, or AI development; not for editing or adding list entries.BrowserNo warnings★ 3.3K↓ —
- ops-inboxdavepoon/buildwithclaudeFull inbox management across all channels — WhatsApp (wacli), Email (Gmail MCP), Slack (MCP), Telegram (user-auth MCP), Discord (webhook + REST read), Notion (MCP — comments, mentions, assigned tasks). Scans FULL inbox (not just unread), identifies messages needing replies, archives handled conversations.ProductivityNo warnings★ 3.7K↓ —
- obsidian-basesdavepoon/buildwithclaudeCreate and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.ProductivityNo warnings★ 3.7K↓ —
- hubspot-authjeremylongshore/tons-of-skills-marketplaceAuthenticate production HubSpot integrations and survive the auth-side failures — 30-min token expiry storms, 500K daily rate-limit burnout, scope drift, token leakage in commits, multi-portal credential routing, OAuth refresh-token decay. Use when hardening token caching, rotating private app credentials, building a multi-portal credential router, or recovering from 429/403 auth cascades. Trigger with "hubspot auth", "hubspot token cache", "hubspot rate limit", "hubspot scope drift", "hubspot multi-portal", "hubspot OAuth refresh".OtherNo warnings★ 2.9K↓ —
- managing-python-releaseskajisho5/ffmpeg-skillManages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, writing changelogs, automating release pipelines, or communicating breaking changes.EngineeringNo warnings★ 4.2K↓ —
- golang-observabilitysamber/cc-skills-golangGolang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See `samber/cc-skills-golang@golang-benchmark` and `samber/cc-skills-golang@golang-performance` skills).DevOpsNo warnings★ 3.7K↓ —
- uctm-initdavepoon/buildwithclaudeInitialize uc-taskmanager for the current project. Creates works/ directory and configures Bash permissions in .claude/settings.local.json. Use when the user says "uctm init", "initialize uctm", "uctm 초기화", or "초기화".OtherNo warnings★ 3.7K↓ —
- cleanup-codejeremylongshore/tons-of-skills-marketplaceComprehensive codebase cleanup across 11 quality dimensions: dead code, duplication, weak types, circular deps, defensive cruft, legacy code, AI slop, type consolidation, security, performance, and async patterns. Analyzes code with confidence scoring and verifies changes with build/test gates. Use when codebase has accumulated tech debt, after major feature work, before releases, or when code quality metrics are declining. Trigger with "/cleanup-code-code", "clean up the codebase", "remove dead code", "fix code quality".EngineeringNo warnings★ 2.9K↓ —
- memory-bridgeAr9av/obsidian-wikiBrowse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.ProductivityNo warnings★ 3.6K↓ —
- gsd:list-workspacesdavepoon/buildwithclaudeList active GSD workspaces and their statusOtherNo warnings★ 3.7K↓ —
- sympyforyourhealth111-pixel/Vibe-SkillsUse this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.ScienceNo warnings★ 3.8K↓ —Also in 1 other repo
- ops-yolodavepoon/buildwithclaudeYOLO mode. Spawns 4 parallel C-suite agents (CEO, CTO, CFO, COO). Each analyzes the business from their perspective using ALL available data. Produces unfiltered Hard Truths report. After user types YOLO, autonomously runs the business for a day using /loop.OtherNo warnings★ 3.7K↓ —
- clawringdavepoon/buildwithclaudePhone calling skill for OpenClaw: agent makes real outbound phone calls to users for alerts, briefings, reminders, and urgent notifications. Managed service, no Twilio setup needed. 100+ countries, 70+ voices.OtherNo warnings★ 3.7K↓ —
- jetson-video-pipelineNVIDIA/skillsUse when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.MediaNo warnings★ 3.8K↓ —
- html-wireframeplannotator/effective-htmlDirect-invocation specialist for low-fidelity, self-contained HTML wireframes that test information hierarchy, content, navigation, task flow, and responsive structure before visual design. Use when the user explicitly invokes html-wireframe or the broad html skill routes a wireframe request here. Do not activate independently from a general request. Do not use for polished mockups or production-like interaction; use html-prototype for those.TestingNo warnings★ 3.8K↓ —
- kiro-discoverygotalab/cc-sddEntry point for new work. Determines the best action path or work decomposition (update existing spec, create new spec, mixed decomposition, or no spec needed) and refines ideas through structured dialogue.PlanningNo warnings★ 3.7K↓ —
tao-generate-anomalies
NVIDIA/skills
OtherUpdated 2 days ago
From the author
Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.
Install
npx skills add NVIDIA/skills --skill tao-generate-anomalies -a claude-code
Installs to .claude/skills/tao-generate-anomalies/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (22)
- BENCHMARK.md
- SKILL.md
- assets/ag_config.yaml
- assets/defect_spec_template.jsonl
- config/skillspector-baseline.yaml
- evals/evals.json
- references/datasets.md
- references/docker.md
- references/error-handling.md
- references/eval.md
- references/finetune-commands.md
- references/finetune.md
- +10 more