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.
48,330 skills from 2,326 repositories · updated 23 hours ago
48,425 skills
- gsd:audit-fixdavepoon/buildwithclaudeAutonomous audit-to-fix pipeline — find issues, classify, fix, test, commitTestingNo warnings★ 3.7K↓ —
- conversion-value-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "set up conversion values so tROAS optimizes profit not orders", "map margin onto my purchase value", "build value rules for lead / phone / signup conversions", or "stop bidding to revenue when I care about profit"; defines and QAs the conversion VALUE model — per-conversion values, margin/net-value adjustment, static-vs-dynamic value rules, proxy values for non-revenue actions, and a value-vs-count sanity check — as a value-model spec plus a pre-launch value QA sheet. Not for whether the tag fires or UTMs are clean — use conversion-signal-qa; not for cross-platform double-count de-dup — use attribution-reconciler; not for scoring R1/R2 — that is a scored veto in ad-account-auditor. 付费广告转化价值建模/利润出价/价值规则QAMarketingNo warnings★ 3K↓ —
- 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↓ —
- social-creative-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "turn this idea into posts for every platform", "write the X thread / LinkedIn post / 小红书 note", or "spec the carousel slides"; turns one idea into N platform-native ready-to-paste packages — post/thread, caption, Threads text, 小红书 note, link post with first-comment placement — each adapted per the dated platform norm card (never verbatim cross-posting), every product claim held to approved claims-ledger wording or flagged [needs source], every variant tagged {formula | hook family | CTA type | signal optimized}, plus a carousel slide-spec mode (intro/content/outro slide roles, per-element char budgets, 小红书 3:4 / IG 4:5 / LinkedIn document PDF artboards, text-safe-zone + alt-text checklist). Not for creator deliverable briefs — use brief-generator; not for repurposing existing assets with paid boost — use content-amplifier. 社媒文案/一稿多发改写/小红书笔记/轮播图脚本DocumentsNo warnings★ 3K↓ —
- omomomocode-yeongyu/oh-my-openagentEaster egg command - about oh-my-opencode. Triggers: omomomo, about, easter egg.OtherNo warnings★ 70.6K↓ —
- exa-local-dev-loopjeremylongshore/tons-of-skills-marketplaceBuild and test an Exa adapter locally using schema fixtures, recorded content-free envelopes, and an explicit opt-in live lane. Use when operating or reviewing this Exa boundary. Trigger with "Exa local dev loop", "review Exa local dev loop", or "fix Exa local dev loop".TestingNo warnings★ 2.9K↓ —
- 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↓ —
- geo-optimizernowork-studio/notfair-pluginGenerative Engine Optimization (GEO) — make content rank in AI search answers from ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Audits existing content, rewrites for AI citation, and produces per-engine strategy. Use when asked to "optimize for AI search", "rank in ChatGPT", "GEO audit", "improve AI citations", "rank in Perplexity", "AI Overview optimization", "AI Overview ranking", "LLM SEO", "answer engine optimization", "AEO", "get cited by AI", "GEO", "generative engine optimization", "show up in ChatGPT", "appear in AI answers", "be cited by Perplexity", "SGE optimization", "Search Generative Experience", or "make my content show up in AI answers". Distinct from regular SEO — this targets generative engines, not traditional Google rankings.MarketingNo warnings★ 4.1K↓ —
- offensive-data-exfiltrationSnailSploit/Claude-RedDense methodology covering DNS exfiltration (dnscat2, iodine, dns2tcp), HTTPS tunneling (domain fronting, CDN abuse, legitimate service channels), ICMP tunneling (icmpsh, ptunnel-ng), cloud storage dead drops (S3 presigned URLs, Azure Blob SAS tokens, GCS signed URLs), email-based exfil (SMTP, EWS, draft method), steganography (image, audio, document metadata), encoding/encryption (base64 chunking, XOR, AES), covert channels (custom protocol tunneling, HTTP header encoding, timing channels), and data staging (compression, splitting, encryption). Tools: dnscat2, iodine, dns2tcp, PacketWhisper, chisel, stunnel, icmpsh, ptunnel-ng, steghide, zsteg, OpenStego. MITRE ATT&CK: T1048 (Exfiltration Over Alternative Protocol), T1041 (Exfiltration Over C2 Channel), T1567 (Exfiltration Over Web Service), T1029 (Scheduled Transfer), T1030 (Data Transfer Size Limits), T1132 (Data Encoding), T1001 (Data Obfuscation). Use when planning or executing data exfiltration during authorized red team engagements or post-exploitationDevOpsNo warnings★ 10.2K↓ —
- bid-strategy-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "pick a bid strategy", "set a tCPA/tROAS target", or "plan the learning-phase entry"; produces a bid-strategy choice (tCPA / tROAS / max-conversions / manual CPC), the starting target math, a portfolio grouping map, and a learning-phase entry plan. Not for splitting the budget across campaigns — use budget-optimizer; not for in-flight pacing/scale moves — use budget-pacing-monitor; not for scoring the account — use ad-account-auditor. 出价策略/tCPA目标/tROAS/学习期PlanningNo warnings★ 3K↓ —
- narrative-drift-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘PlanningNo warnings★ 3K↓ —
- dashboarddavepoon/buildwithclaudeView all tracked vulnerabilities and their current statusSecurityNo warnings★ 3.7K↓ —
- surveysdavepoon/buildwithclaudeManages the founder's survey-based validation — crafting the right questions, deploying a survey to the internet, and analyzing results against hypotheses. Use when the founder wants to run a survey, create survey questions, validate hypotheses at scale, check how a survey is going, understand whether a survey is the right tool right now, or deploy a question set to get quantitative signal. Also bring this up if you believe that creating a survey to collect quantitative evidence may be useful at this point.DevOpsNo warnings★ 3.7K↓ —
- vastai-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable. Use when selecting offers, setting spot policy, cleaning idle resources, or reconciling invoices. Trigger with: "optimize Vast.ai cost", "find Vast.ai cost leaks", "compare Vast.ai offers".PlanningNo warnings★ 2.9K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestingNo warnings★ 3.7K↓ —
- jetson-init-sourceNVIDIA/skillsSet up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.MediaNo warnings★ 3.8K↓ —
- file-to-codejeremylongshore/tons-of-skills-marketplaceGenerates production-ready code from file specifications such as CSV files, JSON schemas, SQL DDL, protobuf definitions, or requirements documents. Use when the user wants to convert a data file or specification into working code. Trigger with phrases like "generate code from this CSV", "create an API from this schema", "build a parser for this file", or "turn this spec into code".EngineeringNo warnings★ 2.9K↓ —
- adobe-load-scalejeremylongshore/tons-of-skills-marketplaceDerive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Use when the task requires adobe capacity and load envelope. Trigger with "load test Adobe", "scale Firefly jobs", or "Adobe capacity plan".TestingNo warnings★ 2.9K↓ —
- asana-automationdavepoon/buildwithclaudeAutomate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate EARS-format requirements based on project description and steering context. Use when generating requirements from project description.PlanningNo warnings★ 3.7K↓ —
- using-ovnewtonNVIDIA/skillsConnect the Newton physics engine to an Omniverse simulation or ovstage with ovnewton. Use when importing a populated ovstage into Newton, stepping its physics, synchronizing stage edits, or publishing simulation state for Omniverse rendering.MediaNo warnings★ 3.8K↓ —
- debriefdavepoon/buildwithclaudeAlias for `/origin:handoff` — symmetric brief/debrief naming. Same behavior: end-of-session ritual that writes session log + project status + granular MCP captures. Invoked as `/debrief`. Use when the user prefers the brief/debrief pair over brief/handoff.WritingNo warnings★ 3.7K↓ —
- 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↓ —
- browser-automationdavepoon/buildwithclaudeUse when the user asks to do something on a real website, such as open a page, click through a flow, fill or submit a form, log in, extract data, take screenshots, or run a Skyvern workflow. Calls the Skyvern MCP server.BrowserNo warnings★ 3.7K↓ —
sepia-hemingway
Nanako0129/sepia
WritingUpdated 4 hours ago
From the author
Use when a user asks to write or revise fiction in the Hemingway manner, or asks for strong de-AI on a story; applies Sepia's built-in Hemingway voice profile.
Install
npx skills add Nanako0129/sepia --skill sepia-hemingway -a claude-code
Installs to .claude/skills/sepia-hemingway/ · 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: MIT
Safety checks on SKILL.md
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Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption56
Files (1)
- SKILL.md