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 5 hours ago
48,622 skills
- socialclawdavepoon/buildwithclaudeSocial media scheduling and publishing for AI agents. Use when the user wants to schedule posts, connect social accounts, upload media, or publish campaigns to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest through SocialClaw.MarketingNo warnings★ 3.7K↓ —
- ketchupmichael-denyer/pstack-claudeCatch the user up on what changed in this chat since their last message, in plain words and small visuals. List every item waiting on them with what they need to decide it from the reply alone. Use for /ketchup.OtherNo warnings★ 3.7K↓ —
- tao-run-dinov3-ssl-deftNVIDIA/skillsRun iterative DINOv3 SSL DEFT data selection and retraining from an unlabeled pool, using GRIT or multi-task weakness and fixed-encoder retrieval. Use for active-learning-style DINOv3 mining, not plain pretraining/fine-tuning (tao-train-dinov3) or AOI/PAS DEFT.ProductivityNo warnings★ 3.8K↓ —
- ops-daemondavepoon/buildwithclaudeCheck claude-ops background daemon end-to-end and auto-fix common issues. Detects stale plist paths after plugin upgrades, missing service commands, dead processes, corrupt health files, and bash version mismatches.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↓ —
- prompt-improverjeremylongshore/tons-of-skills-marketplaceAnalyze and improve plugin prompts, skill definitions, and command instructions for clarity, safety, and effectiveness. Use when the user asks to "improve a prompt", "review a skill", "enhance instructions", "make this prompt better", "optimize this command", or "audit prompt quality".EngineeringNo warnings★ 2.9K↓ —
- skill-profile-builderZJU-REAL/Easel首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找 profile-manager。OtherNo warnings★ 4.3K↓ —
- doca-bf3-deploymentNVIDIA/skillsUse this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with bfb-install from the host, the host-to-DPU TMFIFO management channel (tmfifo_net0, the 192.168.100.x convention), RShim daemon state and console-over-rshim, DPU mode selection (DPU/embedded-function vs separated-host/NIC mode) via mlxconfig, post-BFB recovery, a six-state BlueField-state classifier, and verifying the install (cat /etc/mlnx-release plus version checks). Trigger even when the user does not say "BF3" — typical phrasings include {push a BFB to my BlueField-3}, {bfb-install exited 0 but the DPU never came back}, {ping 192.168.100.2 works but ssh fails}, or {is DOCA on the host or the Arm side?}. BFB reflash, mlxconfig set, mode changes, and firmware burns are destructive: require explicit target-bound confirmation and load doca-hardware-safety. App launch, container deploy, env install, and the BF4 BMC-Redfish path route elsewhere.DevOpsNo warnings★ 3.8K↓ —
- tao-finetune-kumo-anomalyNVIDIA/skillsKumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly", "sdk/anomaly_analysis", or "TSDiffuser_Generic".OtherNo warnings★ 3.8K↓ —
- skill-xhs-comment-replyZJU-REAL/Easel小红书评论互动运营:列出我的笔记、抓取某条笔记下的评论、按画像语气逐条回复、以及删除评论 (含自己发的回复)。基于 Playwright + 持久化登录态,headless 即可运行,与 skill-xhs-publisher 共用同一登录态。评论抓取走接口响应拦截(稳);回复/删除走 DOM 文本定位(无坐标)+ 逐字符输入反检测; 带已回复去重、逐条间隔防风控、dry-run 预演。用 notes 列笔记或 fetch --url 贴链接,免手动拆 token。 触发:抓小红书评论 / 回复评论 / 删除评论 / 删评 / 维护评论区 / 看我某条笔记的评论。TestingNo warnings★ 4.3K↓ —
- stakeholder-updatejeremylongshore/tons-of-skills-marketplaceCreate and review stakeholder status updates, progress reports, and executive summaries. Use when the user needs to write concise upward communication. Trigger with "stakeholder update", "status update", "progress report", "update leadership", "weekly update", or "executive summary".WritingNo warnings★ 2.9K↓ —
- gsd:notedavepoon/buildwithclaudeZero-friction idea capture. Append, list, or promote notes to todos.ProductivityNo warnings★ 3.7K↓ —
- nvshmem-enable-tmaNVIDIA/skillsPrepare or review NVSHMEM CUDA kernels for TMA SMEM registration and direct-SMEM transfers. Do not use for unrelated CUDA tuning.EngineeringNo warnings★ 3.8K↓ —
- castai-rate-limitsjeremylongshore/tons-of-skills-marketplaceBuild a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget. Use when a job receives 429 responses, polls CAST AI, or fans out across clusters and organizations. Trigger with: "handle CAST AI rate limits", "stop CAST AI 429s", "make CAST AI polling safe".PlanningNo warnings★ 2.9K↓ —
- card-xiaohongshuZJU-REAL/Easel把已有卡片文案渲染为 1080×1440 小红书竖版知识卡片组,并按 card-design 选择视觉风格。当用户说“渲染/制作小红书卡片、知识卡、滑动卡片组”时使用。整套笔记策划与文案用 xhs-note-creator;横版金句卡用 card-quote。DesignNo warnings★ 4.3K↓ —
- glass-shard-titleheygen-com/hyperframesGlass shards fly in through fog and tile themselves into the headline. HyperFrames block, 1920×1080, 12.16s, 19 variables.OfficialOtherNo warnings★ 76.9K↓ —
- remediationdavepoon/buildwithclaudeGet a context-aware remediation plan for a vulnerability with fix verification stepsSecurityNo warnings★ 3.7K↓ —
- golang-benchmarksamber/cc-skills-golangGolang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.FinanceNo warnings★ 3.7K↓ —
- golang-goplssamber/cc-skills-golangGolang semantic code intelligence via `gopls`, the official Go language server — go-to-definition, find references, call/implementation hierarchy, workspace symbol search, package API discovery, diagnostics, safe rename, refactors (extract/inline/fill/rewrite code actions), formatting, and generated tests. Reaches an agent via gopls's own MCP server (`go_*` tools), Claude Code's native `LSP` tool, or the `gopls` CLI. Use when navigating or refactoring Go code — jumping to a definition, finding call sites before a rename, understanding a file's or package's dependencies, running diagnostics after an edit, or extracting/inlining/renaming. Not for the published ecosystem — packages not in your `go.mod`, versions, licenses, importers — → See `samber/cc-skills-golang@golang-pkg-go-dev` skill (`godig`). Not for a whole-tree vulnerability audit → See `samber/cc-skills-golang@golang-security` skill (`govulncheck`).SecurityNo warnings★ 3.7K↓ —
- anima-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Anima SDK debug evidence for support tickets and troubleshooting. Use when filing Anima support requests, debugging code generation issues, or collecting diagnostic data for the Anima team. Trigger with: "anima debug bundle", "anima support ticket", "anima diagnostics".EngineeringNo warnings★ 2.9K↓ —
- castai-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan. Use when investigating spend, validating savings claims, applying private-price adjustments, or prioritizing workloads and clusters. Trigger with: "tune CAST AI costs", "verify CAST AI savings", "reduce Kubernetes spend with CAST AI".DevOpsNo warnings★ 2.9K↓ —
- unslopmichael-denyer/pstack-claudeCut AI tells from any writing.WritingNo warnings★ 3.7K↓ —
- cohere-hello-worldjeremylongshore/tons-of-skills-marketplaceRun bounded Cohere v2 Chat, Embed, or Rerank requests with current model discovery and explicit validation. Use when proving a new Cohere setup. Trigger with "Cohere hello world", "Cohere quickstart", or "test Cohere API".TestingNo warnings★ 2.9K↓ —
- zoom-automationdavepoon/buildwithclaudeAutomate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.OtherNo warnings★ 3.7K↓ —
golang-data-structures
samber/cc-skills-golang
From the author
Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals. Not for applying optimization patterns once profiling has identified a bottleneck (→ See `samber/cc-skills-golang@golang-performance` skill).
Install
npx skills add samber/cc-skills-golang --skill golang-data-structures -a claude-code
Installs to .claude/skills/golang-data-structures/ · 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 90
Files (7)
- SKILL.md
- evals/evals.json
- references/containers.md
- references/generics.md
- references/map-internals.md
- references/pointers.md
- references/slice-internals.md