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 4 hours ago
48,622 skills
- hexanon-x402-apisdavepoon/buildwithclaudePay-per-call access to the Hexanon family of eight x402 APIs for autonomous agents — no signup, no API keys, USDC on Base. Covers US/Canada vehicle & VIN intelligence (Vindex), e-commerce demand signals (Demandex), Polymarket whale intelligence (OrcaTrace), GitHub trending-repo digests (gitBeacon), narrative intelligence (Signalis), Moltbook community digests (Moltalyzer), x402 seller conformance scanning (x402lint), and Polymarket weather-market signals (Isocast).EngineeringNo warnings★ 3.7K↓ —
- automate-memichael-denyer/pstack-claudeUse for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via plugin-dev:skill-development + unslop, optionally pulling fresh evidence from recent transcripts.OtherNo warnings★ 3.7K↓ —
- navan-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze Navan travel, expense, integration, and operating costs without freezing mutable prices. Use when setting budgets or evaluating workflow tradeoffs. Trigger with "reduce Navan cost", "Navan budget", or "control travel spend".ProductivityNo warnings★ 2.9K↓ —
- earnings-previewhimself65/finance-skillsBuild a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season preview — and whenever a ticker comes up in the context of upcoming earnings, even without the word "preview". For results that are already out, use earnings-recap.FinanceNo warnings★ 3.5K↓ —
- slideshow-videoZJU-REAL/Easel图片相册 → 视频:把一组图片做成带 Ken Burns 缓慢缩放、图间转场、背景音乐和逐图字幕的视频,自动适配平台画幅(竖版/方形/横版)。当用户说 图片转视频、图片做成视频、相册视频、照片视频、一组图生成视频、图片轮播视频、幻灯片视频、把这几张图做成短视频、图集成片、卡点图片视频 时使用。基于 shared/scripts/slideshow.py 确定性 ffmpeg 封装。与 auto-short-video 区别:auto-short-video 从一句话主题自动生成配图/配音成片,本 SKILL 用用户已有的图片直接拼成视频。MediaNo warnings★ 4.3K↓ —
- miro-debug-bundlejeremylongshore/tons-of-skills-marketplaceDesign and implement a repository-side Miro diagnostic-bundle workflow with bounded metadata and automatic redaction. Use when escalating a Miro failure. Trigger with "build Miro debug bundle".EngineeringNo warnings★ 2.9K↓ —
- thermo-nuclear-reviewmichael-denyer/pstack-claudeComprehensive security and correctness audit of a branch's changes. Use for thermo nuclear, thermonuclear, or deep review requests, or branch/PR diff audits focused on bugs, breaking changes, security issues, devex regressions, and feature-gate leaks.EngineeringNo warnings★ 3.7K↓ —
- company-valuationhimself65/finance-skillsEstimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.FinanceNo warnings★ 3.5K↓ —
- i4h-workflow-validateNVIDIA/skillsRun the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.ProductivityNo warnings★ 3.8K↓ —
- video-chaptersZJU-REAL/Easel视频章节 / 时间戳目录:给中长视频自动生成章节划分和时间戳目录,用于 B站分P/YouTube 章节/视频描述区,方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py(带时间轴转录),章节划分与命名由 LLM 完成。与 video-to-article 区别:那个把视频改写成成篇图文,本 SKILL 只出章节时间戳目录。MediaNo warnings★ 4.3K↓ —
- address-sanitizertrailofbits/skillsBuilds and runs code under AddressSanitizer to catch buffer overflows, use-after-free, and other memory errors during fuzzing or tests. Covers -fsanitize=address builds, ASAN_OPTIONS, reading the crash report, LeakSanitizer, and the overhead and platform trade-offs. Use when fuzzing C/C++ or Rust that has unsafe blocks or FFI, when debugging a memory corruption crash, or when reading an ASan stack trace.TestingNo warnings★ 7.9K↓ —
- i4h-workflow-finetuneNVIDIA/skillsFine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.ProductivityNo warnings★ 3.8K↓ —
- tts-voiceoverZJU-REAL/Easel文字转语音配音:把文案/脚本合成为 AI 语音口播、旁白、朗读音频。**配了 VOICE_PROVIDER 默认走闭源云 TTS(CosyVoice2 等,有情感、像真人),edge 仅无 key 时兜底**(edge 偏机械/AI 味);同步输出分句 SRT 字幕、mp3/wav/m4a。合成后可与 BGM 混音或加到视频作旁白。当用户说“配音”“文字转语音”“TTS”“AI 配音”“口播语音”“旁白”“朗读”“把这段文字读出来”“生成语音”“语音合成”时使用。OtherNo warnings★ 4.3K↓ —
- meme-generatorZJU-REAL/Easel表情包 / Meme 生成:给图片加经典上下大字(白字黑边)做梗图,或在图上/下加配文条做反应图('当…的时候'格式)。中英文都支持,自动换行和字号自适应。当用户说 表情包、做表情包、meme、梗图、reaction 图、配图加字、给这张图加字、做个梗、反应图、当xx的时候 时使用。基于 shared/scripts/meme_ops.py(Pillow)。与 card-quote 区别:card-quote 做精致金句卡片,meme-generator 做梗图/表情包;与 image-editing watermark 区别:那个加水印,本 SKILL 加梗字。MediaNo warnings★ 4.3K↓ —
- theboardroomdavepoon/buildwithclaudeConvene an AI executive board of directors (CEO, CFO, COO, CLO, CISO sub-agent personas) to vet a business idea, product concept, new service offering, M&A target, or operational initiative — and deliver an integrated board memo with a Go/No-Go recommendation. Use this skill whenever the user wants an idea vetted, stress-tested, or reviewed from multiple executive perspectives; asks to "present this to the board," "run this by the boardroom," "vet this idea," "poke holes in this plan," or "prep me for a board meeting"; or shares a business plan, pitch, proposal, or initiative document and asks for structured executive feedback. Also trigger when the user asks for a Go/No-Go decision, risk review across finance/legal/security/operations, or preparation for presenting an initiative to real leadership.SecurityNo warnings★ 3.7K↓ —
- lindy-rate-limitsjeremylongshore/tons-of-skills-marketplaceManage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls. Trigger with phrases like "lindy rate limit", "lindy credits", "lindy quota", "lindy throttling", "lindy API limits".EngineeringNo warnings★ 2.9K↓ —
- lindy-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or optimizing budget allocation across agents. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget", "lindy credits".OtherNo warnings★ 2.9K↓ —
- finance-sentimenthimself65/finance-skillsFetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how many Reddit mentions or Polymarket bets a company has, whether Reddit, X, and news agree, or wants to compare stock buzz and sentiment across tickers. Read-only: it never places trades or modifies anything.FinanceNo warnings★ 3.5K↓ —
- auto-subtitleZJU-REAL/Easel自动字幕 / 语音转字幕:把音频或视频里的语音识别成字幕文件(SRT/ASS/TXT/JSON),可选把字幕烧录进视频。当用户说自动字幕、语音转字幕、视频加字幕、上字幕、转录、听写、字幕文件、生成字幕、烧字幕时使用。OtherNo warnings★ 4.3K↓ —
- batch-processZJU-REAL/Easel批量处理:对一个目录里的一批图片/视频/音频统一套用同一操作——批量压缩、加水印、转格式、缩放、转比例、音量归一化等。当用户说 批量处理、批量压缩、批量加水印、批量转格式、一批图片/视频、给这个文件夹、全部转成、批量缩放、批量转竖版、整个目录 时使用。基于 shared/scripts/batch_process.py(委派 image_ops/video_ops/audio_ops)。与 image-editing/video-editing/audio-editing 区别:那些处理单文件,本 SKILL 批量套用到整个目录。MediaNo warnings★ 4.3K↓ —
- i4h-workflow-train-rlNVIDIA/skillsUse when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.ProductivityNo warnings★ 3.8K↓ —
- unslopmichael-denyer/pstack-claudeCut AI tells from any writing.WritingNo warnings★ 3.7K↓ —
- hypothesis-testerjeremylongshore/tons-of-skills-marketplaceStructured hypothesis formulation, experiment design, and results interpretation for Product Managers. Use when the user needs to validate an assumption, design an A/B test, or evaluate results. Trigger with "hypothesis", "A/B test", "experiment", "validate assumption", "test this", or "should we ship".TestingNo warnings★ 2.9K↓ —
- ops-lineardavepoon/buildwithclaudeLinear command center. Shows current sprint, creates/updates issues, manages priorities, syncs with GSD phases.OtherNo warnings★ 3.7K↓ —
memory
jeremylongshore/tons-of-skills-marketplace
From the author
Use when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.
Install
npx skills add jeremylongshore/tons-of-skills-marketplace --skill memory -a claude-code
Installs to .claude/skills/memory/ · 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 (6)
- .claude-plugin/plugin.json
- .source.json
- LICENSE
- README.md
- SKILL.md
- package.json