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 17 hours ago
48,622 skills
- skill-content-gap-analysisZJU-REAL/Easel分析社媒赛道的内容空白，发现高需求低竞争的蓝海选题机会。 当用户说"蓝海选题""内容空白""没人做的选题""选题机会""高需求低竞争""差异化选题""内容缺口"时使用。 和 skill-competitor-analysis 的区别：本 SKILL 从赛道供需交叉验证找蓝海选题空白； competitor-analysis 拆解具体竞品账号的内容策略。OtherNo warnings★ 4.3K↓ —
- x-twitter-scraperdavepoon/buildwithclaudeX (Twitter) data extraction and monitoring via Xquik: tweet search, user lookup, follower extraction, giveaway draws, trending topics, account monitoring with webhooks, reply/retweet/quote extraction, community and Space data, follow checks. 22 MCP tools + REST API.BrowserNo warnings★ 3.7K↓ —
- speckit-analyzeforyourhealth111-pixel/Vibe-SkillsPerform cross-artifact consistency analysis across spec.md, plan.md, and tasks.md. Use after task generation to identify gaps, duplications, and inconsistencies before implementation.PlanningNo warnings★ 3.8K↓ —
- narrative-quality-auditoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "audit our brand narrative" or "is this message on-canon"; runs separate typed TALE truth, system, or effectiveness profiles and never averages them into one composite. Checks differentiation, canon, landing consistency, and evidence integrity. Not for launch readiness — use launch-readiness-auditor; not for social operations — use social-quality-auditor. 品牌叙事分层审计/发布前一致性放行OtherNo warnings★ 3K↓ —
- yt-researchjeremylongshore/tons-of-skills-marketplaceAnalyze competitor YouTube coverage and video opportunities using sourced observations with explicit sampling limits. Use when researching channels or a niche before ideation. Trigger with "research channels" or "competitive video research".ScienceNo warnings★ 2.9K↓ —
- runway-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce Runway credit waste through current pricing, duplicate prevention, model policy, and measured usage without publishing stale price tables. Use when reviewing spend. Trigger with: "optimize Runway cost", "Runway credit usage", "reduce Runway spend".OtherNo warnings★ 2.9K↓ —
- ton-vulnerability-scannertrailofbits/skillsScans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.SecurityNo warnings★ 7.9K↓ —
- golang-google-wiresamber/cc-skills-golangCompile-time dependency injection in Golang using google/wire — wire.NewSet, wire.Build, wire.Bind (interface→concrete), wire.Struct, wire.Value, wire.InterfaceValue, wire.FieldsOf, cleanup functions, //go:build wireinject injector files, and generated wire_gen.go. Apply when using or adopting google/wire, when the codebase imports `github.com/google/wire`, or when wiring an application graph at compile time via `wire.Build`. For runtime DI with reflection, see `samber/cc-skills-golang@golang-uber-dig` skill.DesignNo warnings★ 3.7K↓ —
- golang-uber-fxsamber/cc-skills-golangGolang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.OtherNo warnings★ 3.7K↓ —
- blast-radiusmichael-denyer/pstack-claudeFind what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', reviewing a small diff you don't trust, or a brief that asserts something about existing code ('make X public', 'X already handles Y') before you design against that assertion.DesignNo warnings★ 3.7K↓ —
- interrogatemichael-denyer/pstack-claudeUse for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Adversaries try to break a change or design, and only findings proven by a run survive.TestingNo warnings★ 3.7K↓ —
- golang-namingsamber/cc-skills-golangGo (Golang) naming conventions — covers packages, constructors, structs, interfaces, constants, enums, errors, booleans, receivers, getters/setters, functional options, acronyms, test functions, and subtest names. Use this skill when writing new Go code, reviewing or refactoring, choosing between naming alternatives (New vs NewTypeName, isConnected vs connected, ErrNotFound vs NotFoundError, StatusReady vs StatusUnknown at iota 0), debating Go package names (utils/helpers anti-patterns), or asking about Go naming best practices. Also trigger when the user mentions MixedCaps vs snake_case, ALL_CAPS constants, Get-prefix on getters, or error string casing. Do NOT use for general Go implementation questions that don't involve naming decisions.TestingNo warnings★ 3.7K↓ —
- wiki-history-ingestAr9av/obsidian-wikiRoute generic agent-history ingestion requests to the appropriate specialized history-ingest skill. Use when the user asks to ingest AI-agent history without directly selecting the underlying agent-specific skill.PlanningNo warnings★ 3.6K↓ —
- doca-gpunetioNVIDIA/skillsUse this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.EngineeringNo warnings★ 3.8K↓ —
- gemininowork-studio/notfair-pluginCross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini on Google Ads strategy, SEO best practices, or implementation questions). Use when the user says "gemini review", "ask gemini", "gemini challenge", "second opinion from gemini", "consult gemini", "stress test with gemini", "what would gemini say", "cross-model review", or "get another opinion". Voice aliases: "gem", "gemini check". Especially useful for Google Ads changes, SEO metadata updates, campaign structure decisions, keyword strategies, and bid/budget changes — Gemini has native Google ecosystem knowledge that complements Claude's analysis.TestingNo warnings★ 4.1K↓ —
- zero-tech-debtjeremylongshore/tons-of-skills-marketplaceRefactor a feature toward its intended product architecture, removing obsolete flows and unnecessary abstractions while preserving required behavior and contracts. Use when a structural redesign or tech-debt cleanup is requested. Trigger with "refactor properly", "remove legacy" or "zero-tech-debt"; use a focused patch for hotfixes and security backports.SecurityNo warnings★ 2.9K↓ —
- doca-capsNVIDIA/skillsUse this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host — listing DOCA devices and PCIe addresses, listing representor devices, asking which DOCA libraries are available on the current OS, checking per-device per-library capabilities, scoping output to a specific PCIe address, or capturing a side-effect-free capability snapshot for debug or install smoke-test. Trigger even when the user does not explicitly mention "doca_caps" or "capabilities print tool" — typical implicit phrasings include "what does DOCA actually see on this box", "is my BlueField PF visible to DOCA", "is Flow available on my RHEL host", "enumerate VF representors for pf0", "doca_caps: command not found", or "empty output for RDMA, is the tool broken". Refuse and route elsewhere for DOCA installation (doca-setup owns it; never walk the steps), library-internal capability matrices (Flow pipe creation, RDMA verbs features), streaming telemetry / DTS, or modifying the shipped binary.TestingNo warnings★ 3.8K↓ —
- doca-fireflyNVIDIA/skillsUse this skill when the user is operating the DOCA Firefly Service container on BlueField — picking the four PTP configuration axes (role / profile / domain / interface), wiring the BlueField PHC + host follower + consumer workload pairing, deciding whether PTP-grade time is even needed (vs. chrony / NTP), or debugging a Firefly deployment where PTP isn't syncing or the host clock isn't following. Trigger even when the user does not explicitly mention "DOCA Firefly" or "PTP" — typical implicit phrasings include "container green but PTP never advances past LISTENING", "Firefly says synced but the host clock still drifts", "sync acquired but offset is tens of microseconds", "my Rivermax SMPTE workload needs PTP", or "is chrony good enough". Refuse and route elsewhere for installing DOCA, host-side chrony / ptp4l config bodies, PTP topology / boundary-clock design, building DOCA apps that read the disciplined PHC, or other DOCA services (DMS, Flow-Inspector, HBN) — those belong to other skills.DevOpsNo warnings★ 3.8K↓ —
- ctf-ai-mlljagiello/ctf-skillsProvides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.OtherNo warnings★ 3.6K↓ —
- cross-linkerAr9av/obsidian-wikiFind and add missing cross-references between wiki pages. Use when pages are disconnected or after large ingestion. This modifies pages to add links; use wiki-lint for report-oriented structural auditing.OtherNo warnings★ 3.6K↓ —
- provider-configurationhashicorp/agent-skillsImplement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform identity), unknown-value guards in Configure(), secret redaction, configure-time credential validation, and diagnostics that name every source tried. Use when implementing or reviewing a provider's Configure method or provider schema, adding authentication options (API keys, tokens, profiles, credentials files, assume-role), deciding how a provider should resolve credentials, debugging "no valid credential sources" or missing-credentials errors, or unit testing credential resolution.OfficialTestingNo warnings★ 911↓ —
- dag-librarycode-yeongyu/oh-my-openagentStores a DAG definition once and re-runs it by name, instead of pasting the definition into every run. Use when the user wants to save a DAG, run a saved one, or schedule the same multi-agent graph repeatedly.OtherNo warnings★ 70.6K↓ —
- cursor-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate your first project using Cursor AI features: Tab, Chat, Composer, and Inline Edit. Triggers on "cursor hello world", "first cursor project", "cursor getting started", "try cursor ai", "cursor basics", "cursor tutorial".WritingNo warnings★ 2.9K↓ —
- speckit-tasksforyourhealth111-pixel/Vibe-SkillsBreak down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.PlanningNo warnings★ 3.8K↓ —
tao-train-bevfusion
NVIDIA/skills
OtherUpdated 3 days ago
From the author
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".
Install
npx skills add NVIDIA/skills --skill tao-train-bevfusion -a claude-code
Installs to .claude/skills/tao-train-bevfusion/ · 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 (16)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_dataset_convert.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- schemas/dataset_convert.schema.json
- schemas/evaluate.schema.json
- schemas/inference.schema.json
- +4 more