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
- sentry-load-scalejeremylongshore/tons-of-skills-marketplaceScale Sentry for high-traffic applications handling millions of events per day. Use when optimizing SDK performance at high volume, implementing adaptive sampling, managing quotas and costs at scale, or deploying Sentry across multi-region infrastructure. Trigger with phrases like "sentry high traffic", "scale sentry", "sentry millions events", "sentry high volume", "sentry quota management", "sentry load test".TestingNo warnings★ 2.9K↓ —
- sharpenmichael-denyer/pstack-claudeMake a task deeper, not bigger, then rewrite the prompt. Use for /sharpen.ProductivityNo warnings★ 3.7K↓ —
- scientific-brainstormingforyourhealth111-pixel/Vibe-SkillsOpen-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.ScienceNo warnings★ 3.8K↓ —
- content-gap-analysisaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use keyword-research. 内容缺口/选题规划ScienceNo warnings★ 3K↓ —
- doca-dmaNVIDIA/skillsUse this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_mmap regions (plus doca_mmap_export_* for cross-peer copies), driving the progress engine, or debugging DOCA_ERROR_* returns. Trigger even when the user does not explicitly mention "DOCA DMA" or "doca_mmap" — typical implicit phrasings include "memcpy host buffer to BlueField without using the CPU", "offload a bulk copy to the DPU", "copy returns NOT_PERMITTED on first submit", "buffer too big for one DMA task", "task submitted but no completion", or "scatter-gather copy between two memory regions". Refuse and route elsewhere for cross-network copies (DOCA RDMA), producer/consumer messaging (DOCA Comch), DOCA Core / progress-engine internals, or DOCA install — those belong to other skills.EngineeringNo warnings★ 3.8K↓ —
- forgetdavepoon/buildwithclaudeDelete a memory from Origin by ID. Destructive and cannot be undone — prefer `/capture` with `supersedes` for corrections. Invoked as `/forget <source_id>`.ProductivityNo warnings★ 3.7K↓ —
- skill-profile-managerZJU-REAL/Easel管理账号画像全生命周期：创建空白画像、编辑六维字段、更新记忆、切换、导出和对比。 当用户说“新建/编辑/更新/切换/导出/对比画像、写进画像记忆”时使用。 首次从社媒数据生成画像用 skill-profile-builder；只提炼语言风格用 skill-voice-builder；品牌首次入驻引导用 skill-brand-onboarding。OtherNo warnings★ 4.3K↓ —
- security-guardrailsdavepoon/buildwithclaudeAdversarial defense layer for the mortgage plugin — protects against prompt injection, system prompt extraction, PII leakage, workflow bypass, and social engineering attacks.SecurityNo warnings★ 3.7K↓ —
- figma-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Figma REST API rate limits with exponential backoff and request queuing. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput for Figma. Trigger with phrases like "figma rate limit", "figma throttling", "figma 429", "figma retry", "figma backoff".DesignNo warnings★ 2.9K↓ —
- finta-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Finta plan selection and feature usage. Trigger with phrases like "finta cost", "finta pricing", "finta plan selection".PlanningNo warnings★ 2.9K↓ —
- LQF_Machine_Learning_Expert_Guideforyourhealth111-pixel/Vibe-SkillsLQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.EngineeringNo warnings★ 3.8K↓ —
- kiro-validate-implgotalab/cc-sddValidate feature-level integration after all tasks are implemented. Checks cross-task consistency, full test suite, and overall spec coverage.TestingNo warnings★ 3.7K↓ —
- scientific-critical-thinkingforyourhealth111-pixel/Vibe-SkillsEvaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.ScienceNo warnings★ 3.8K↓ —
- trailmarktrailofbits/skillsBuilds and queries multi-language source and binary code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, entry point enumeration, proxy/unresolved-call tracking, type/reference queries, structural traversal, graph diffs, audit augmentation, declared cross-language/FFI/external links via `.trailmark/links.toml`, and SQL schema graphs. Use when analyzing call paths, mapping attack surface, finding complexity hotspots, enumerating entry points, tracing taint propagation, measuring blast radius, importing SARIF/weAudit/binary findings, linking source graphs across language or RPC boundaries, or building a code graph for audit prioritization. Feature-gate version-specific Trailmark APIs before using them; prefer `trailmark.parse.detect_languages()` or `--language auto` when the target language is unknown or polyglot.SecurityNo warnings★ 7.9K↓ —
- miro-common-errorsjeremylongshore/tons-of-skills-marketplaceDiagnose Miro OAuth and REST failures from status, context, scopes, rate headers, and safe evidence. Use when a Miro integration returns errors. Trigger with "debug Miro API error".EngineeringNo warnings★ 2.9K↓ —
- research-grantsforyourhealth111-pixel/Vibe-SkillsWrite competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.ScienceNo warnings★ 3.8K↓ —
- canva-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce unnecessary Canva Connect operations using measured request, retry, cache, and premium-feature evidence. Use when reviewing usage, trial-quota pressure, deduplication, or budget guardrails. Trigger with: "reduce Canva usage", "Canva quota planning", "optimize Canva calls".PlanningNo warnings★ 2.9K↓ —
- apify-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger with "apify cost", "apify billing", "reduce apify costs", "apify pricing", "apify expensive", "apify budget", "compute units".ProductivityNo warnings★ 2.9K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OfficialDataNo warnings★ 34.3K↓ —
- hive.terminal-tools-pty-sessionsaden-hive/hiveUse when you need state across calls — building env vars, navigating with cd, driving REPLs (python -i, mysql, psql, node), or responding to interactive prompts (sudo password, ssh host-key confirmation, mysql connection). Teaches the prompt-sentinel exec pattern (default mode), raw I/O for REPLs (raw_send=True then read_only=True), the one-in-flight-per-session rule, and the close-or-leak-against-the-cap discipline. Bash on macOS — never zsh; explicit shell=/bin/zsh is rejected. Read before calling terminal_pty_open.DataNo warnings★ 11.1K↓ —
- anima-hello-worldjeremylongshore/tons-of-skills-marketplaceGenerate reviewable React or HTML code from a Figma design using the Anima SDK. Use when testing design-to-code conversion, learning Anima's code output format, or building your first automated design-to-code pipeline. Trigger with: "anima hello world", "anima example", "figma to react", "figma to code", "anima generate code".TestingNo 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↓ —Also in 3 other repos
- cc-sdd-new-agentgotalab/cc-sddAdd or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end. Use when introducing a new agent, adding a subagent-capable variant, or evaluating migration of an existing supported agent to skills-based templates.EngineeringNo warnings★ 3.7K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestingNo warnings★ 3.7K↓ —
ai-video-gen
ZJU-REAL/Easel
MediaUpdated Oct 25, 2026
From the author
AI 视频生成：文生视频 / 图生视频 / 数字人首帧驱动。通过可插拔 provider（通义万相 Wan / 火山 Seedance / 快手可灵 / OpenAI 兼容）异步生成视频，用户自备 API key。当用户说 AI 视频生成、文生视频、图生视频、AI 生成视频、AI 短视频、让图片动起来、数字人视频、生成一段视频 时使用。与 video-strategy（选型/策略）、video-editing（剪辑处理）、clipify（切片）区别：本 SKILL 是从 0 用 AI 生成新视频。
Install
npx skills add ZJU-REAL/Easel --skill ai-video-gen -a claude-code
Installs to .claude/skills/ai-video-gen/ · 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 (2)
- EASEL-META.md
- SKILL.md