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.
48,168 skills from 2,325 repositories · updated 20 hours ago
48,168 skills
- principle-type-system-disciplinebacknotprop/pstackApply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, exhaust variants, derive from authoritative schemas.WritingNo warnings★ 3.3K↓ —
- kiro-verify-completiongotalab/cc-sddVerify completion and success claims with fresh evidence. Use before claiming a task is complete, a fix works, tests pass, or a feature is ready for GO.TestingNo warnings★ 3.7K↓ —
- setup-bennybacknotprop/pstackConfigure Benny and prepare its triage and repro automations. Use when installing Benny or changing its Slack, tracker, repository, routing, control, model, or budget settings.OtherNo warnings★ 3.3K↓ —
- think-harderforyourhealth111-pixel/Vibe-Skills4-phase structured analysis wrapper for vibe pre-routing (compatible with claude-code-settings think-harder semantics).EngineeringNo warnings★ 3.8K↓ —
- principle-boundary-disciplinebacknotprop/pstackApply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.EngineeringNo warnings★ 3.3K↓ —Also in 2 other repos
- kiro-verify-completiongotalab/cc-sddVerify completion and success claims with fresh evidence. Use before claiming a task is complete, a fix works, tests pass, or a feature is ready for GO.TestingNo warnings★ 3.7K↓ —Also in 7 other repos
- 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↓ —
- 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↓ —
- 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↓ —
- variant-analysistrailofbits/skillsHunts for the other instances of a bug already found — the variants of one root cause across a codebase. Use immediately after a vulnerability, logic bug, or bad pattern turns up in a specific file and the question becomes where else it occurs, including the bare conversational form ("are there others like this?", "is this the same bug?"). Also for generalizing one known instance into a CodeQL or Semgrep query for its whole pattern family, and for triaging a set of look-alike candidates against a known root cause. Not for initial discovery with no bug in hand.SecurityNo warnings★ 7.9K↓ —
- reproducing-ci-locallykajisho5/ffmpeg-skillRun the CI gate on your machine so it agrees with the runner — deriving the exact command, paths, markers, and env from the workflow file instead of the Makefile, unblocking gate steps that short-circuit and hide the next failure, pinning the linter version CI resolves, building the interpreter/toolchain environment the runner builds, and confirming the run is green instead of explaining a red job away. Use when a check passes locally but fails in CI (or the reverse), when a lint/format job goes red on an untouched file, when setting up a local dev loop for an unfamiliar repo, or before pushing a branch you expect to merge.ProductivityNo warnings★ 4.1K↓ —
- technical-writingbacknotprop/pstackLayered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.WritingNo warnings★ 3.3K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- request-progressthedotmack/claude-memGroup recent conversations into overall requests, review each one's progress from memory, sort each into one of the owner's focus areas, and write the build story, so My Work shows progress meters, shipping velocity and learned working preferences. Use when asked to "group requests", "group by overall request", "review request progress", "refresh progress", "build story", "shipping velocity", or "how do I like to work with agents".WritingNo warnings★ 107.2K↓ —
- evals-contextforyourhealth111-pixel/Vibe-SkillsProvides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).ProductivityNo warnings★ 3.8K↓ —
- setup-pstackbacknotprop/pstackConfigure which models pstack uses per role and at what reasoning budget. Detects your available models and writes an always-applied rule that overrides the skill defaults. Use for /setup-pstack, "configure pstack models", "pstack budget", or changing pstack's model choices.WritingNo warnings★ 3.3K↓ —
- 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★ 4.2K↓ —
- skill-strategy-advisorZJU-REAL/Easel基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、 行业趋势，给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、 画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。 和 skill-content-strategy 的区别：content-strategy 从零制定策略， strategy-advisor 基于现有数据做迭代优化。OtherNo warnings★ 4.2K↓ —
- reproduce-regressiontrailofbits/skillsUse when deploying before/after systems and building a live-system PoC for a regression candidate.DevOpsNo warnings★ 7.9K↓ —
- skill-brand-onboardingZJU-REAL/Easel创作者/品牌入驻：通过结构化访谈收集视觉风格、内容调性、受众画像和运营目标，生成完整的账号画像档案。 当用户说"账号入驻""建档案""新账号建立画像""品牌入驻""从零建号""完善账号信息""onboarding"时使用。 产出覆盖多维度的完整账号档案；只建声音画像用 skill-voice-builder，只建受众画像用 skill-audience-profiler。OtherNo warnings★ 4.2K↓ —
- template-skillanthropics/skillsReplace with description of the skill and when Claude should use it.OfficialOtherNo warnings★ 185.7K↓ —Also in 9 other repos
- skill-kuaishou-uploadZJU-REAL/Easel快手视频发布：把竖版短视频发布到快手创作者中心。当用户说"发快手""上传快手""快手投稿" "发布到快手""快手视频发布"时使用。基于通用浏览器发布框架（Playwright + 登录态持久化）。TestingNo warnings★ 4.2K↓ —
- skill-channels-uploadZJU-REAL/Easel微信视频号发布：把竖版短视频发布到微信视频号（channels.weixin.qq.com）。当用户说 "发视频号""上传视频号""视频号发布""发到微信视频号""视频号投稿"时使用。基于通用浏览器 发布框架（Playwright + 登录态持久化），微信扫码登录。TestingNo warnings★ 4.2K↓ —
- 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
interrogate
backnotprop/pstack
TestingUpdated 4 days ago
From the author
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Adversaries try to break a change or design, and only findings proven by a run survive.
Install
npx skills add backnotprop/pstack --skill interrogate -a claude-code
Installs to .claude/skills/interrogate/ · 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: MIT
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance82
Maintenance100
Licence100
Adoption56
Files (1)
- SKILL.md