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 15 hours ago
48,622 skills
- principle-test-behavior-not-implementationbacknotprop/pstackApply when you write, change, or keep a test. Assert what the code's users can observe, so that the test fails when that behavior breaks and keeps passing when only the internals change.TestingNo warnings★ 3.3K↓ —Also in 1 other repo
- principle-attack-the-premisebacknotprop/pstackApply when two or more fixes that share one premise have failed the same gate. Write the premise down and test it directly before you write another fix that assumes it.TestingNo warnings★ 3.3K↓ —
- gsd:nextdavepoon/buildwithclaudeAutomatically advance to the next logical step in the GSD workflowProductivityNo warnings★ 3.7K↓ —
- i4h-workflow-dataset-mimicNVIDIA/skillsExpand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.ProductivityNo warnings★ 3.8K↓ —
- trailmark-summarytrailofbits/skillsRuns a Trailmark summary analysis on a codebase. Returns auto-detected languages, entry point count, and dependency list. Use when vivisect or galvanize needs a quick structural overview. Triggers: trailmark summary, code summary, structural overview.ProductivityNo warnings★ 7.9K↓ —
- gsd:mvp-phasedavepoon/buildwithclaudePlan an MVP-mode phase — captures an "As a / I want to / So that" user story, runs SPIDR splitting, then delegates to plan-phasePlanningNo warnings★ 3.7K↓ —
- agentic-actions-auditortrailofbits/skillsAudits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.SecurityNo warnings★ 7.9K↓ —
- speak-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect diagnostic information for Speak API issues: auth verification, audio format validation, session inspection, and network testing. Use when implementing debug bundle features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak debug bundle", "speak debug bundle".EngineeringNo warnings★ 2.9K↓ —
- gsd:inboxdavepoon/buildwithclaudeTriage and review all open GitHub issues and PRs against project templates and contribution guidelinesEngineeringNo warnings★ 3.7K↓ —
- 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★ 3.3K↓ —Also in 2 other repos
- principle-make-operations-idempotentbacknotprop/pstackApply when designing commands, lifecycle steps, or processing loops that run amid crashes, restarts, and retries. Converge to the same end state regardless of partial prior runs.OtherNo warnings★ 3.3K↓ —Also in 1 other repo
- nemo-relay-get-startedNVIDIA/skillsUse this skill when first-time NeMo Relay users want help selecting and following an appropriate quick-start guide or verifying their first working integration. Do not use it for production rollout or broad integration development.OtherNo warnings★ 3.8K↓ —
- golang-samber-oopssamber/cc-skills-golangStructured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports github.com/samber/oops.ProductivityNo warnings★ 3.7K↓ —
- holoscan-install-sourceNVIDIA/skillsBuild and verify Holoscan SDK 5.x from an explicit source ref with the repository run wrapper; use for Early Access or SDK development.OtherNo warnings★ 3.8K↓ —
- i4h-workflow-scene-editNVIDIA/skillsEdit an existing workflow Scene or task contract. Use for assets, layout, cameras, randomization, task text, or success rules; do not use to create a new workflow.WritingNo warnings★ 3.8K↓ —
- jetson-video-benchmarkNVIDIA/skillsUse when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning estimate when representative media is absent. Also use for a video request limited to PSNR or SSIM, to apply the terminal scope response.MediaNo warnings★ 3.8K↓ —
- opsdavepoon/buildwithclaudeBusiness operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.DevOpsNo warnings★ 3.7K↓ —
- 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↓ —
- jetson-video-recipeNVIDIA/skillsUse when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.MediaNo warnings★ 3.8K↓ —
- tao-launch-workflowNVIDIA/skillsThe mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".ProductivityNo warnings★ 3.8K↓ —
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 98.9K↓ —
- nvflare-orientNVIDIA/skillsRoute open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.MarketingNo warnings★ 3.8K↓ —
- launch-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "log this launch", query a launch date/embargo, record a stage transition, or update submissions/outcomes; curates launch facts through the append-only launches event stream with optimistic revisions and derived dossier/calendar views. Not for RAMP scoring — use launch-readiness-auditor; not for planning tier/window — use launch-tier-planner. 发布台账/发布日历/阶段与禁运期记录PlanningNo warnings★ 3K↓ —
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".OtherNo warnings★ 3.8K↓ —
skill-article-outline
ZJU-REAL/Easel
WritingUpdated Oct 25, 2026
From the author
生成长文大纲：基于搜索分析生成 H2/H3 标题结构、段落字数目标、图表位置和 FAQ 规划，适用于公众号文章、知乎专栏、博客。 当用户说"文章大纲""长文结构""公众号大纲""知乎回答框架""写作提纲""文章框架""H2/H3 结构"时使用。
Install
npx skills add ZJU-REAL/Easel --skill skill-article-outline -a claude-code
Installs to .claude/skills/skill-article-outline/ · 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