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.
46,100 skills from 2,198 repositories · updated 15 hours ago
45,010 skills
- baoyu-wechat-summaryJimLiu/baoyu-skillsSummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.ProductivityNo warnings★ 27.1K↓ —
- email-sequence-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "design a welcome flow", "set up an abandoned-cart sequence", "build a light re-engagement branch inside a lifecycle flow", or "plan a cold-outbound sequence"; produces general lifecycle automation flows (welcome, cart, browse-abandon, post-purchase, in-flow re-engagement, B2B cold outbound) with trigger, step timing, branch/exit conditions, goal, frequency governance (send caps, quiet hours, fatigue guardrail), a sunset path, and a SEND N-dimension score. Not for the closed-loop win-back / re-consent (re-permission) program on a lapsed cohort — use reactivation-specialist; not for writing each email's copy — use email-creative-builder; not for computing EQS or the N1 unsubscribe veto — use email-quality-auditor. 邮件自动化流程设计/购物车挽回/流失召回序列ProductivityNo warnings★ 3K↓ —
- doca-gpunetioUpdatedNVIDIA/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↓ —
- clade-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Anthropic rate limits — understand tiers, implement backoff, Use when working with rate-limits patterns. optimize throughput, and monitor usage. Trigger with "anthropic rate limit", "claude 429", "anthropic throttling", "anthropic usage limits", "claude tokens per minute".OtherNo warnings★ 2.9K↓ —
- terraform-testhashicorp/agent-skillsComprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshooting Terraform test syntax and execution.OfficialTestingNo warnings★ 909↓ —
- short-drama-knowhowzenstory-ai/drama-skills维护者专用的短剧 know-how 学习、验证与生命周期治理。仅在维护者明确要求从其当前会话提供的授权只读文本源学习完整短剧项目链，并把私有观察逐步转成去标识、去复刻、经盲测与独立审查的公共 reference、rubric 或 synthetic fixture 候选时使用；不用于普通创作、公开运行时取数、媒体生成或粗略数据分析。OtherNo warnings★ 3.5K↓ —
- gohighlevelnowork-studio/notfair-pluginOperate connected GoHighLevel CRM accounts through the NotFair MCP. Use for GoHighLevel, HighLevel, GHL contacts, conversations, opportunities, calendars, pipelines, tags, tasks, forms, invoices, products, or approved CRM changes.ProductivityNo warnings★ 4.1K↓ —
- hsb-ip-packetizerNVIDIA/skillsChoose or explain HSB Sensor RX packetizer fields for HOLOLINK_def.svh. Do not use for full defs, validation, or runtime APB programming.OtherNo warnings★ 3.8K↓ —
- ulw-researchcode-yeongyu/oh-my-openagentRuns maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research or a deep investigation, including any 'ulw' research wording.ScienceNo warnings★ 70.5K↓ —
- upstream-patchespulumi/agent-skillsCreate, amend, remove, and rebase patches for Terraform provider submodules using `./scripts/upstream.sh`. Use when `upgrade-provider` or manual patch work needs owning-patch lookup, patch conflict fixes, patch/hunk removal, or upstream rebase.OfficialDevOpsNo warnings★ 78↓ —
- triage-issue-reportsbacknotprop/pstackTriage Slack issue reports with one thread-only verdict, evidence review, cause-aware routing, tracker dedupe, and fail-closed ticket creation. Use only from the configured Benny triage automation.EngineeringNo warnings★ 3.1K↓ —
- short-drama-storyboardUpdatedzenstory-ai/drama-skills把中文短剧剧本和视觉设定写成有戏剧职责、连续性边界与冻结关键帧提示词的分镜 Markdown。用户提出“拆分镜/设计镜头/做镜头表”“场次视觉计划/调度故事板”“比较导演方案”“写首帧/关键帧提示词”或检查轴线、站位、视线、持物连续性时使用；不生成媒体。OtherNo warnings★ 3.5K↓ —
- short-drama-reviewzenstory-ai/drama-skills审查短剧项目中的原著分析、故事、剧本、视觉设定、图片提示词、分镜、冻结关键帧、视频提示词和已有媒体。用户提出“审稿/检查剧本”“检查资产或连续性”“检查图片/视频提示词”“检查原著分析”“审查模板感”“根据生产观察做项目校准”时使用；只写审查问题、结论和修订要求，不代替负责人修改来源文件。EngineeringNo warnings★ 3.5K↓ —Also in 1 other repo
- finta-sdk-patternsjeremylongshore/tons-of-skills-marketplaceIntegration patterns for Finta fundraising CRM with email and calendar APIs. Use when building automated investor outreach, syncing data from Finta exports, or creating custom fundraising dashboards. Trigger with phrases like "finta integration", "finta patterns", "finta automation", "finta data pipeline".DataNo warnings★ 2.9K↓ —
- receiving-code-reviewforyourhealth111-pixel/Vibe-SkillsReview-feedback handling route for CodeRabbit, GitHub, PR, or human reviewer comments. Use before implementing suggestions to verify each finding. Do not use for a fresh code review, security audit, TDD, or final completion evidence.EngineeringNo warnings★ 3.8K↓ —
- optimizing-promptsjeremylongshore/tons-of-skills-marketplaceExecute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.OtherNo warnings★ 2.9K↓ —
- 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↓ —
- contributejeremylongshore/tons-of-skills-marketplaceRead-only OSS contribution audit and routing skill. Inspects public GitHub issues, pull requests, repository policy, duplicate work, and contribution readiness without creating files or changing GitHub state. Use when a user asks what is in flight, whether an issue is suitable, or wants a safe first look before preparing or publishing a contribution. Trigger with "/contribute", "audit my contributions", or "qualify this issue".OtherNo warnings★ 2.9K↓ —
- adjudicate-regressiontrailofbits/skillsUse when deciding whether source and live reproduction evidence establish a new regression or an exclusion.OtherNo warnings★ 7.9K↓ —
- 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↓ —
- pulumi-overviewpulumi/agent-skillsUse this skill for any task that creates, modifies, inspects, or destroys cloud infrastructure or SaaS configuration, from one-off CLI operations to full multi-resource projects, across providers in the Pulumi ecosystem. A typical project spans many providers (AWS or Azure or GCP, Kubernetes, Cloudflare, Auth0, Datadog, Vercel, and others), and Pulumi drives them through one CLI, one state model, and one credential layer. Trigger even when the user does not name Pulumi; phrasings like "deploy this app," "provision a database," "stand up a VPC," "configure Auth0," "set up Datadog monitoring," or "tear down staging" qualify. Also trigger for tasks that migrate, port, or convert existing infrastructure code (Terraform, CloudFormation, CDK, Bicep, ARM) to Pulumi. Do not trigger for application runtime code that reads or writes data via cloud SDKs; that is application code, not infrastructure.OfficialDevOpsNo warnings★ 78↓ —
- wiki-ingestAr9av/obsidian-wikiIngest new documents, raw text, folders, or URLs into the Obsidian wiki as distilled, linked knowledge. Use for general wiki ingestion when no more specific ingest skill applies, including processing _raw/ staged content.PlanningNo warnings★ 3.6K↓ —
- lcx-doctorcode-yeongyu/oh-my-openagentDiagnose LazyCodex and Codex CLI installation health against the latest sources. Use whenever the user asks for a doctor or health check, says LazyCodex, lazycodex-ai, omo-codex, or Codex behaves oddly after an install, update, or config change, suspects a stale, drifted, or broken setup, or wants the local install audited and compared with the latest LazyCodex and Codex code.EngineeringNo warnings★ 70.5K↓ —
- principle-foundational-thinkingbacknotprop/pstackApply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.WritingNo warnings★ 3.1K↓ —Also in 2 other repos
provider-actions
hashicorp/agent-skills
OfficialDevOpsUpdated 2 days ago
From the author
Implement Terraform Provider actions using the Plugin Framework. Use when developing imperative operations that execute at lifecycle events (before/after create, update, destroy).
Install
npx skills add hashicorp/agent-skills --skill provider-actions -a claude-code
Installs to .claude/skills/provider-actions/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (MPL-2.0) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: MPL-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance100
Maintenance100
Licence80
Adoption48
Files (1)
- SKILL.md