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 15 hours ago
48,622 skills
- copilot-history-ingestAr9av/obsidian-wikiIngest GitHub Copilot CLI/session history into Obsidian as distilled knowledge. Use for importing or mining Copilot history; not for general Copilot help, simple session search, or backup.EngineeringNo warnings★ 3.6K↓ —
- wiki-dedupAr9av/obsidian-wikiDetect and merge wiki pages representing the same concept under different names. Use for page-identity deduplication and consolidation. Destructive merges require confirmation; not for link repair or general linting.OtherNo warnings★ 3.6K↓ —
- gh-clitrailofbits/skillsEnforces authenticated gh CLI workflows over unauthenticated curl, WebFetch, and MCP fetch patterns. Use when working with GitHub URLs, API access, pull requests, or issues.EngineeringNo warnings★ 7.9K↓ —
- libfuzzertrailofbits/skillsSets up and runs libFuzzer, the coverage-guided fuzzer built into LLVM, on C/C++ code that compiles with Clang. Covers harness structure, -fsanitize=fuzzer builds, corpus and dictionary management, sanitizer integration, and campaign triage. Use when writing or debugging an LLVMFuzzerTestOneInput harness, starting fuzzing on a C/C++ library, choosing between libFuzzer and AFL++, or working out why a libFuzzer run finds nothing.MarketingNo warnings★ 7.9K↓ —
- gsd:verify-workdavepoon/buildwithclaudeValidate built features through conversational UATOtherNo warnings★ 3.7K↓ —
- metric-calculatorforyourhealth111-pixel/Vibe-SkillsCompute well-defined metrics from existing formulas, datasets, or test outputs. Use as an explicit/manual helper when the metric definition is already known, not for choosing the overall analysis owner or dashboard strategy.TestingNo warnings★ 3.8K↓ —
- doca-dtsNewNVIDIA/skillsDeploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.DevOpsNo warnings★ 3.8K↓ —
- spenddavepoon/buildwithclaudeShow current Claude Code spend by project and branch via BudgetClawEngineeringNo warnings★ 3.7K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanningNo warnings★ 3.7K↓ —Also in 5 other repos
- semgrep-rule-creatortrailofbits/skillsCreates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.SecurityNo warnings★ 7.9K↓ —
- remove-bgZJU-REAL/Easel图片去背景 / 抠图 / 换背景：用 AI 语义分割把主体从背景抠出，输出透明 PNG，或直接换成纯色（电商白底）/ 新场景背景。无需绿幕。当用户说 去背景、抠图、抠图换背景、去掉背景、透明背景、白底图、换背景、抠人像、抠产品、扣图、KO图、商品白底 时使用。基于 shared/scripts/remove_bg.py（rembg u2net）。与 green-screen 区别：green-screen 处理绿幕视频，本 SKILL 处理任意图片；与 ecom-details-image 区别：那个出电商视觉方案，本 SKILL 只做抠图。MediaNo warnings★ 4.3K↓ —
- kiro-spec-initgotalab/cc-sddInitialize a new specification with detailed project descriptionPlanningNo warnings★ 3.7K↓ —
- wiki-agentAr9av/obsidian-wikiSearch one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.PlanningNo warnings★ 3.6K↓ —
- mindmapZJU-REAL/Easel思维导图：把 Markdown 大纲（标题层级 + 列表）渲染成可交互思维导图 HTML，可选导出 PNG。适合知识结构、内容框架、SWOT、脑图梳理。当用户说 思维导图、脑图、mindmap、知识导图、大纲图、把要点做成脑图、内容结构图、SWOT图、树状图 时使用。基于 shared/scripts/mindmap.py（markmap 自包含 HTML + Chromium 渲染 PNG）。与 chart-visualization/infographic 区别：那些做数据图表/信息图，本 SKILL 专做层级大纲思维导图。OtherNo warnings★ 4.3K↓ —
- clari-rate-limitsjeremylongshore/tons-of-skills-marketplaceAnalyze and schedule Clari exports, ingestion jobs, and Copilot reads within provider concurrency and quota controls. Use when preventing 429 responses or coordinating workers. Trigger with: "handle Clari rate limits", "schedule Clari jobs", "recover from Clari 429".OtherNo warnings★ 2.9K↓ —
- 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↓ —
- gsd:code-reviewdavepoon/buildwithclaudeReview source files changed during a phase for bugs, security issues, and code quality problemsEngineeringNo warnings★ 3.7K↓ —
- nemo-fabric-integrateNVIDIA/skillsUse this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.DevOpsNo warnings★ 3.8K↓ —
- clerk-rate-limitsjeremylongshore/tons-of-skills-marketplaceUnderstand and manage Clerk rate limits and quotas. Use when hitting rate limits, optimizing API usage, or planning for high-traffic scenarios. Trigger with phrases like "clerk rate limit", "clerk quota", "clerk API limits", "clerk throttling".PlanningNo warnings★ 2.9K↓ —
- kiro-validate-implgotalab/cc-sddValidate feature-level integration after all tasks are implemented. Checks cross-task consistency, full test suite, and overall spec coverage.TestingNo warnings★ 3.7K↓ —Also in 5 other repos
- reproduce-and-fix-issuesbacknotprop/pstackReproduce triaged Slack bugs through a configured app-control adapter, verify existing fixes, and open a bounded draft pull request only after before-and-after proof. Use only from the configured Benny repro automation.EngineeringNo warnings★ 3.3K↓ —
- dynamic-content-personalizeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "personalize the email", "add merge tags / dynamic content", "set up conditional blocks per segment", or "make first-name and product-recommendation fields fall back safely"; produces a merge-tag map with per-tag fallbacks, conditional-block rules with per-segment variations, a fallback-safety audit, and a PII guard on what may render, informing the SEND E (Engagement/personalization) dimension. Not for building the segments — use list-segment-builder; not for writing the base copy — use email-creative-builder; not for scoring EQS or running vetoes — use email-quality-auditor. 邮件个性化/合并标签/条件内容块/兜底默认值MediaNo warnings★ 3K↓ —
- 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↓ —
- dispatchdavepoon/buildwithclaudeDelegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code. Say 'check with codex' or 'ask gemini for a second opinion' and Claude runs the other agent, keeps a topic-aware session, and critiques the result.EngineeringNo warnings★ 3.7K↓ —
tao-train-rtdetr
NVIDIA/skills
DevOpsUpdated 3 days ago
From the author
RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".
Install
npx skills add NVIDIA/skills --skill tao-train-rtdetr -a claude-code
Installs to .claude/skills/tao-train-rtdetr/ · 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 (25)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_evaluate.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_deploy_inference.yaml
- references/spec_template_distill.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_inference.yaml
- +13 more