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 12 hours ago
48,622 skills
- 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↓ —
- flyio-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect a bounded, redacted Fly.io support bundle for release, Machine, health, volume, network, and platform incidents. Use when escalating a reproducible problem. Trigger with: "build Fly debug bundle", "collect Fly support evidence", "sanitize Fly incident data".EngineeringNo warnings★ 2.9K↓ —
- doca-perftestNewNVIDIA/skillsUse this skill when the user is running DOCA Perftest (doca_perftest), the RDMA benchmark that measures bandwidth, message rate and latency for RDMA verbs, point-to-point or across a cluster, with an optional DOCA Verbs backend (-r dv) or GPUNetIO engine (--engine gpunetio). Trigger even when the user does not say "DOCA Perftest" — implicit phrasings include "how do I benchmark RDMA write bandwidth with DOCA", "run ib_write_bw but across 8 nodes", "perftest says the device is busy", "my latency numbers differ between client and server", "launch the server over SSH", or "run an all-to-all RDMA test from a JSON scenario". Refuse and route elsewhere for DOCA install (doca-setup), DOCA Bench (doca-bench), and application-level throughput.TestingNo warnings★ 3.8K↓ —
- splitting-datasetsjeremylongshore/tons-of-skills-marketplaceProcess split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.TestingNo warnings★ 2.9K↓ —
- hunt-regressionstrailofbits/skillsUse when discovering possible regressions from a pinned change and its callers before reproduction.OtherNo warnings★ 7.9K↓ —
- narrative-enablement-kitaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "make everyone tell the same story", "write our elevator pitch ladder", or "build a spokesperson Q&A and approved boilerplate pack"; derives from the narrative-registry canon, message house, and brand voice a repeatable enablement kit — an elevator ladder (10-second / 30-second / 2-minute), a spokesperson Q&A (tough questions with on-canon answers), an approved boilerplate/bio pack (25 / 50 / 100-word), and a do/don't language sheet — so sales, support, founders, and partners repeat one consistent story. Not for the launch-day runbook — use launch-day-conductor; not for finished per-channel copy — use content-writer or each discipline creative builder; not for launch-window battle cards — use sales-enablement-kit; this kit never adjudicates a claim. 叙事赋能包/电梯梯度/发言人问答/审定样板/该说不该说WritingNo warnings★ 3K↓ —
- metabolomics-workbench-databaseforyourhealth111-pixel/Vibe-SkillsAccess NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.DataNo warnings★ 3.8K↓ —
- remove-bgZJU-REAL/Easel图片去背景 / 抠图 / 换背景:用 AI 语义分割把主体从背景抠出,输出透明 PNG,或直接换成纯色(电商白底)/ 新场景背景。无需绿幕。当用户说 去背景、抠图、抠图换背景、去掉背景、透明背景、白底图、换背景、抠人像、抠产品、扣图、KO图、商品白底 时使用。基于 shared/scripts/remove_bg.py(rembg u2net)。与 green-screen 区别:green-screen 处理绿幕视频,本 SKILL 处理任意图片;与 ecom-details-image 区别:那个出电商视觉方案,本 SKILL 只做抠图。MediaNo warnings★ 4.3K↓ —
- testing-handbook-generatortrailofbits/skillsGenerates Claude Code skills from the Trail of Bits Testing Handbook (appsec.guide), analyzing handbook pages and emitting SKILL.md files with the structure each skill type requires. Use when creating or refreshing a skill from handbook content, or when the user names the testing handbook or appsec.guide. Not for answering security testing questions — the generated skills cover those.TestingNo warnings★ 7.9K↓ —
- audience-belief-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言PlanningNo warnings★ 3K↓ —
- work-with-prcode-yeongyu/oh-my-openagentFull PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the smallest atomic, independently-mergeable PRs and builds the independent ones concurrently via one worktree per PR driven by parallel subagents or a team. Unbounded loop: any failing gate sends you back to fix-and-re-QA inside that PR's worktree. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'split into atomic PRs', 'parallel PRs', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.TestingNo warnings★ 70.6K↓ —Also in 1 other repo
- critiqueplugin87/ux-ui-agent-skillsAdversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.DesignNo warnings★ 3.1K↓ —
- atheristrailofbits/skillsSets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.EngineeringNo warnings★ 7.9K↓ —
- trailmark-structuraltrailofbits/skillsRuns full Trailmark structural analysis by building a graph, running `preanalysis()`, and reporting hotspots, taint, blast radius, privilege boundaries, attack surface, and version-gated Trailmark 0.4+/0.5+ data such as proxy counts, subgraph edges, type/reference summaries, and entrypoint attributes. Use when vivisect needs detailed structural data for a target. Triggers: structural analysis, blast radius, taint analysis, complexity hotspots, proxy nodes, type references.ProductivityNo warnings★ 7.9K↓ —
- ketchup-videoNewmichael-denyer/pstack-claudeCatch the user up like /ketchup, with a short subtitled video of slides for what happened and the waiting calls as text under it. Use for /ketchup-video.MediaNo warnings★ 3.7K↓ —
- design-screenplugin87/ux-ui-agent-skillsDesign or build a page, screen, landing page, website, app or UI from a request - the whole job, end to end. Use this for "design a landing page", "build a settings screen", "make me a website", "design the onboarding", "ออกแบบหน้าเว็บ", "ทำหน้า landing", "ออกแบบ UI", "ทำแอป". It runs the pipeline no single skill covers: the house doctrine, a written Brief Inference so the result is not the statistical mean, a committed visual direction, tokens, build, the objective gates, then an adversarial critic. Hands off to data-dashboard for dense data screens, redesign for existing UI, and image-to-code when a reference image is given.DesignNo warnings★ 3.1K↓ —
- gsd:profile-userdavepoon/buildwithclaudeGenerate developer behavioral profile and create Claude-discoverable artifactsOtherNo warnings★ 3.7K↓ —
- golang-databasesamber/cc-skills-golangComprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite; for database testing; or for questions about database/sql, sqlx, or pgx. Does NOT generate database schemas or migration SQL.DataNo warnings★ 3.7K↓ —
- mutation-testingtrailofbits/skillsConfigures mewt or muton campaigns, analyzes surviving mutants, and investigates bugs exposed by testing gaps. Use when setting up mutation testing, reviewing campaign results, identifying equivalent mutants, or finding bugs from surviving mutations.TestingNo warnings★ 7.9K↓ —
- fondo-install-authjeremylongshore/tons-of-skills-marketplaceSet up Fondo account and configure integrations with Gusto, QuickBooks, and bank accounts for automated startup bookkeeping and R&D tax credits. Trigger: "setup fondo", "fondo account", "fondo integrations", "connect fondo".FinanceNo warnings★ 2.9K↓ —
- principle-outcome-oriented-executionbacknotprop/pstackApply during planned rewrites and migrations with explicit phase boundaries. Converge on the target architecture; don't preserve smooth intermediate states with throwaway compatibility code.PlanningNo warnings★ 3.3K↓ —Also in 2 other repos
- golang-testingsamber/cc-skills-golangProduction-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI, or debugging flaky/slow tests. For testify-specific APIs see `samber/cc-skills-golang@golang-stretchr-testify`; for measurement methodology see `samber/cc-skills-golang@golang-benchmark`.TestingNo warnings★ 3.7K↓ —
- 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↓ —
- golang-uber-fxsamber/cc-skills-golangGolang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.OtherNo warnings★ 3.7K↓ —
garden-inbox
paperclipai/paperclip
From the author
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections. Use when asked to garden, clean up, prune, or tidy a Paperclip inbox without changing issues, branches, or workspaces.
Install
npx skills add paperclipai/paperclip --skill garden-inbox -a claude-code
Installs to .claude/skills/garden-inbox/ · 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
- Ships scripts we have not reviewedLow
Why 90
Files (3)
- SKILL.md
- scripts/garden-inbox.mjs
- scripts/garden-inbox.test.mjs