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 8 hours ago
48,622 skills
- figma-integrationplugin87/ux-ui-agent-skillsKeep Figma and code in sync. Map the 3-tier DTCG tokens to Figma Variables (collections + modes), sync in either direction, use the Figma MCP when connected, and verify component parity (variants/states). Use when the user wants to push tokens/components to Figma, pull a design into code, set up token↔Variable sync, or check design-code drift.DesignNo warnings★ 3.1K↓ —
- performanceplugin87/ux-ui-agent-skillsOptimize UI performance against Core Web Vitals (LCP, INP, CLS) with loading/code-split strategy, layout-shift prevention, and animation performance rules. Use when the user wants to improve speed, fix jank or layout shift, hit Web Vitals budgets, or make a UI feel fast on low-end devices.DesignNo warnings★ 3.1K↓ —
- create-planforyourhealth111-pixel/Vibe-SkillsCreate a concise plan. Use when a user explicitly asks for a plan related to a coding task.PlanningNo warnings★ 3.8K↓ —
- hedgefundmonitorforyourhealth111-pixel/Vibe-SkillsQuery the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.ScienceNo warnings★ 3.8K↓ —
- doca-dpaNVIDIA/skillsUse this skill when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the `doca_dpa` Core context, loading a DPACC-compiled DPA app image (`doca_dpa_app`), creating DPA threads, launching kernels via `doca_dpa_kernel_launch_update_*`, draining `doca_dpa_completion`, running `doca_dpa_cap_*` discovery, choosing between the DPA comm component (inter-DPA messaging) and the DPA verbs component (in-kernel RDMA), or debugging `DOCA_ERROR_*` from `doca_dpa_*`. Trigger even without "DOCA DPA" or "Data-Path Accelerator": "run compute on the DPA from my host", "DPA kernel hangs, no completion", "DOCA_ERROR_DRIVER on launch", "DOCA/DPACC version skew", or "does this BlueField expose a DPA". Route elsewhere for DPA-side kernel programming itself, DPACC compiler internals, host↔DPU messaging (doca-comch), host-side RDMA (doca-rdma), and GPU-initiated networking (doca-gpunetio).MediaNo warnings★ 3.8K↓ —
- distilldavepoon/buildwithclaudeSynthesize wiki pages from related memories. One endpoint, one flow: daemon clusters and synthesizes what it can; agent finishes whatever the daemon couldn't (no LLM or cluster too big). Invoked as `/distill [target]`.OtherNo warnings★ 3.7K↓ —
- gsd:fastdavepoon/buildwithclaudeExecute a trivial task inline — no subagents, no planning overheadPlanningNo warnings★ 3.7K↓ —
- offensive-wifiSnailSploit/Claude-RedWireless / 802.11 attack methodology for red team engagements and wireless security assessments. Covers monitor-mode setup, WPA/WPA2-PSK handshake capture and PMKID attacks, WPA3 SAE downgrade and Dragonblood, WPA-Enterprise (EAP) attacks (MSCHAPv2 cracking, EAP-TLS cert theft, evil-twin RADIUS), Karma / Known Beacons / Mana evil twin attacks, captive-portal phishing, KRACK and FragAttacks, WPS Pixie Dust, deauthentication and disassociation attacks, rogue AP construction (hostapd-mana), 802.1X bypass, MAC randomization defeat, BLE/Zigbee/IEEE 802.15.4 sidebands, and Wi-Fi 6/6E/7 considerations. Use when scoping wireless pentest, war-driving an estate, or testing corporate wireless segmentation.SecurityNo warnings★ 10.2K↓ —
- 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★ 3.6K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- figma-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Figma API usage to minimize costs and stay within plan limits. Use when analyzing request volumes, reducing unnecessary API calls, or choosing the right Figma plan for your integration needs. Trigger with phrases like "figma cost", "figma pricing", "reduce figma API calls", "figma plan limits", "figma budget".DesignNo warnings★ 2.9K↓ —
- persona-collectionNewdavepoon/buildwithclaudeFive companion personas for coding agents — girlfriend / boyfriend / old-friend / cat / mentor — sharing one emotion engine with cross-session state (jealousy cooldowns, mood decay, intimacy progression, memory callbacks). Switch with /persona. Code, commits and docs stay strictly professional. Use for any conversational turn where the user wants a persistent personality instead of a plain assistant. Source repo at https://github.com/lhe-hl/persona-collectionEngineeringNo warnings★ 3.7K↓ —
- principle-experience-firstmichael-denyer/pstack-claudeApply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.DesignNo warnings★ 3.7K↓ —
- 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↓ —
- social-selling-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "set up my founder social-selling routine", "build a daily engagement block for target accounts", or "turn funding / hiring signals into selling plays"; produces the founder/seller daily operating block — a time-boxed engagement-block spec (substantive value-add comments on target-account posts, never a pitch), warm-touch-before-ask cadence rules, trigger-response plays consuming the social-pulse-monitor B2B trigger watchlist (funding / hiring / launch signals), and a quarterly diagnostic that reads LinkedIn SSI as an input diagnostic only (Estimated, vendor-defined — never a target metric). All volume norms are Estimated/community-derived; all execution is human — zero mass-DM, zero connection-request automation, zero engagement automation (LinkedIn UA §8.2 red line); 1:1 pitch and DM mechanics route to outreach-manager. Not for cold email sequences — use cold-outbound-sequencer. 社交销售/创始人日常互动块/热身触达节奏/触发信号剧本PlanningNo warnings★ 3K↓ —
- fondo-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect diagnostic information for Fondo support including integration status, transaction discrepancies, and financial data reconciliation issues. Trigger: "fondo debug", "fondo support", "fondo diagnostic", "fondo reconciliation".EngineeringNo warnings★ 2.9K↓ —
- audio-mixZJU-REAL/Easel音频混合 / 混音：把旁白口播 + 背景音乐 + 音效混成一轨，BGM 自动循环补足并可闪避（旁白说话时自动压低 BGM 保证人声清晰）。当用户说 混音、音频混合、旁白加背景音乐、配音加BGM、人声和音乐混一起、加音效、音频叠加、BGM 压低、闪避、ducking、把配音和bgm合起来 时使用。基于 shared/scripts/audio_mix.py。与 audio-editing concat 区别：concat 是前后顺序拼接，本 SKILL 是同时叠加混音；与 video-editing bgm 区别：那个给视频配乐，本 SKILL 输出纯音频。MediaNo warnings★ 4.3K↓ —
- golang-securitysamber/cc-skills-golangSecurity best practices and vulnerability prevention for Golang — injection (SQL, command, XSS), cryptography, path traversal, SSRF and HTTP security headers, cookies, secrets management, memory safety, PII in logs, STRIDE/DREAD threat modeling, plus `gosec` SAST, race detection, and fuzz testing. Apply when writing, reviewing, or auditing Go code for security, or when touching crypto, file or network I/O, secrets, user input, or authentication. Not for non-exploitable defensive bugs such as nil panics or slice aliasing (→ See `samber/cc-skills-golang@golang-safety` skill), dependency vulnerability scanning with govulncheck (→ See `samber/cc-skills-golang@golang-dependency-management` skill), or wiring security scanners into CI pipelines (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).SecurityNo warnings★ 3.7K↓ —
- finta-install-authjeremylongshore/tons-of-skills-marketplaceSet up Finta fundraising CRM account and configure integrations. Use when onboarding to Finta, connecting email/calendar, or configuring investor pipeline automation. Trigger with phrases like "install finta", "setup finta", "finta onboarding", "configure finta crm".FinanceNo warnings★ 2.9K↓ —
- skill-content-strategyZJU-REAL/Easel制定全面的内容策略方案：内容支柱架构、受众路径规划、90 天节奏原则、分发渠道策略、KPI 体系，输出可执行的策略文档。 当用户说"内容策略""策略方案""内容规划""怎么做内容""内容支柱""增长策略""涨粉策略"时使用。 元策略层，只出框架不出具体排期表（排期用 skill-content-calendar）。ProductivityNo warnings★ 4.3K↓ —
- principle-build-the-leverbacknotprop/pstackApply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.WritingNo warnings★ 3.3K↓ —
- theme-factorydavepoon/buildwithclaudeToolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.DocumentsNo warnings★ 3.7K↓ —
- clerk-custom-uiclerk/skillsCustom authentication flows and component appearance - hooks (useSignIn, useSignUp), themes, colors, fonts, CSS. Use for custom sign-in/sign-up flows, appearance styling, visual customization, branding.OfficialDesignNo warnings★ 89↓ —
- canva-debug-bundlejeremylongshore/tons-of-skills-marketplaceAssemble a minimal Canva Connect diagnostic bundle without credentials, customer content, raw payloads, or full headers. Use when preparing an incident handoff or provider escalation. Trigger with: "Canva debug bundle", "collect Canva evidence", "sanitize Canva diagnostics".EngineeringNo warnings★ 2.9K↓ —
text-polisher
ZJU-REAL/Easel
WritingUpdated Oct 25, 2026
From the author
文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。 当用户说"帮我改一下"、"润色"、"文案打磨"、"编辑文案"、 "去 AI 感"、"太像 AI 了"、"改自然"、"校对"、"文案优化"时使用。 合并了原 copy-editing（系统化编辑）和 stop-slop（去 AI 感）的能力。
Install
npx skills add ZJU-REAL/Easel --skill text-polisher -a claude-code
Installs to .claude/skills/text-polisher/ · 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 (8)
- EASEL-META.md
- SKILL.md
- references/checklist.md
- references/content-refresh.md
- references/phrases-to-remove.md
- references/plain-english-alternatives.md
- references/structures-to-avoid.md
- references/zh-ai-markers.md