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.
45,604 skills from 2,205 repositories · updated 5 hours ago
44,573 skills
- angular-architectJeffallan/claude-skillsGenerates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance. Use when building Angular 17+ applications with standalone components or signals, setting up NgRx stores, establishing RxJS reactive patterns, performance tuning, or writing Angular tests for enterprise apps.PlanningNo warnings★ 12.1K↓ —
- embedded-systemsJeffallan/claude-skillsUse when developing firmware for microcontrollers, implementing RTOS applications, or optimizing power consumption. Invoke for STM32, ESP32, FreeRTOS, bare-metal, power optimization, real-time systems, configure peripherals, write interrupt handlers, implement DMA transfers, debug timing issues.WritingNo warnings★ 12.1K↓ —
- prompt-optimizergetsentry/skillsCreates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.OfficialOtherNo warnings★ 1.1K↓ —
- ml-pipelineJeffallan/claude-skillsDesigns and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.DevOpsNo warnings★ 12.1K↓ —
- observability-k8s-investigationelastic/agent-skillsInvestigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scope.OfficialDevOpsNo warnings★ 600↓ —Also in 1 other repo
- poster-heronexu-io/html-anything竖版海报 / 朋友圈分享图, 强视觉冲击OtherNo warnings★ 9.2K↓ —Also in 1 other repo
- security-reviewerJeffallan/claude-skillsIdentifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance. Use when conducting security audits, reviewing code for vulnerabilities, or analyzing infrastructure security. Invoke for SAST scans, penetration testing, DevSecOps practices, cloud security reviews, dependency audits, secrets scanning, or compliance checks. Produces vulnerability reports, prioritized recommendations, and compliance checklists.SecurityNo warnings★ 12.1K↓ —
- find-bugsgetsentry/skillsFind bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.OfficialSecurityNo warnings★ 1.1K↓ —Also in 1 other repo
- kibana-agent-builderelastic/agent-skillsCreate and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools already exist.OfficialTestingNo warnings★ 600↓ —Also in 1 other repo
- pandas-proJeffallan/claude-skillsPerforms pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.DataNo warnings★ 12.1K↓ —
- dogfoodmvschwarz/openrigSystematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.TestingNo warnings★ 8.2K↓ —Also in 1 other repo
- waitlist-pagenexu-io/html-anything极简产品预发布落地页, 含邮箱捕获、logo、装饰图层OtherNo warnings★ 9.2K↓ —Also in 1 other repo
- requirements-writermvschwarz/openrigUse when converting PM intake into a slice SPEC.md with observable acceptance outcomes, explicit scope, and advisory sibling build dependencies.WritingNo warnings★ 8.2K↓ —Also in 1 other repo
- pr-writergetsentry/skillsCreate or refresh reviewer-facing PR titles and descriptions. Use when opening a PR, updating its title or body, or preparing branch changes for review.OfficialWritingNo warnings★ 1.1K↓ —
- human-in-the-loopmvschwarz/openrigUse when classifying a slice closeout (auto-continue / human gate / park), routing a real decision to a human, or designing a human queue/dashboard surface. Treats humans as durable network participants with attention surfaces, queues, and decision records — escalation lands as a durable attention item, not a chat message. Approval is NOT required for every clean closeout; the default RSI conveyor continues unless an explicit human gate is reached.OtherNo warnings★ 8.2K↓ —Also in 1 other repo
- issue-root-resolutionGentleman-Programming/gentle-aiTrigger: root audit, atacar la raíz, issue roots, backlog roots, mechanism map, deletion-driven fix, resolver issues de raíz, close outdated issues. Audit and resolve issue clusters by verified root cause.OtherNo warnings★ 8K↓ —
- openrig-skillsmvschwarz/openrigUse when an agent running inside OpenRig needs the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on another machine, rig packaging, an OpenRig upgrade, systematic debugging, queue triage, or implementation planning; also when the agent doesn't know what applies or nothing is projected on cold boot. Installing, starting or updating OpenRig, getting back to a team or bringing a stopped one back from a person's own session is the rigs skill.PlanningNo warnings★ 8.2K↓ —Also in 2 other repos
- pr-screenshotsgetsentry/skillsCapture screenshots of the Sentry UI in a web browser, lay them out in a pull request description as before/after tables, and upload them with `gh --attach`.OfficialDesignNo warnings★ 1.1K↓ —
- ads-dnaAgriciDaniel/claude-adsExtract a public-safe brand and offer profile for paid advertising from an authorized website and operator input. Triggers on: brand DNA, brand profile, brand identity, brand style, brand colors, brand voice, visual identity, style guide, website brand analysis.MarketingNo warnings★ 10.4K↓ —Also in 1 other repo
- rig-lifecyclemvschwarz/openrigUse when reasoning about the rig lifecycle operations family (create / start / stop / resume / restore / snapshot / release / unclaim / destroy), reading or trusting `rig ps` / lifecycle projections after recovery, or designing proof for a lifecycle scenario. Covers the 4 failure modes (auto-restore creates partial rig; projections report healthier than reality; provider auth treated as impl work; resume succeeds for one runtime fails another) plus the restore-honesty rule (failed resume is FAILED loudly — no auto fresh fallback).OtherNo warnings★ 8.2K↓ —Also in 1 other repo
- realtimeelevenlabs/skillsUse ElevenLabs Realtime models (`eleven_realtime_v1_mini`, `eleven_realtime_v1_max`), the low-latency models built for voice conversation. Use when the user wants to create an ElevenAgents agent on a Realtime model or switch an existing agent's Voice mode to Realtime, set `conversation_config.realtime_model`, choose between Realtime Mini and Max, or debug a Realtime agent that won't publish or transfer. Also use when migrating a voice app built on OpenAI's Realtime API and SDK (`@openai/agents-realtime`, `gpt-realtime`) to the OpenAI-compatible ElevenLabs Realtime API, including the `client_secrets` mint, the WebSocket transport, and audio after leaving WebRTC (closes with 4001/4003, no audio). Not for choosing an agent's LLM or TTS model in Custom mode, Scribe realtime speech-to-text, or migrating Chat Completions or Responses API text calls.OfficialMediaNo warnings★ 508↓ —
- answering-natural-language-questions-with-dbtdbt-labs/dbt-agent-skillsWrites and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.OfficialDataNo warnings★ 746↓ —
- vitessplanetscale/database-skillsVitess best practices, query optimization, and connection troubleshooting for PlanetScale Vitess databases. Load when working with Vitess databases, sharding, VSchema configuration, keyspace management, or MySQL scaling issues.OfficialDataNo warnings★ 727↓ —
- elasticsearch-anomaly-detection-explainerelastic/agent-skillsExplain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores.OfficialOtherNo warnings★ 600↓ —Also in 1 other repo
offensive-toctou
SnailSploit/Claude-Red
DevOpsUpdated Oct 12, 2026
From the author
Time-of-Check / Time-of-Use (TOCTOU) race condition exploitation methodology across binary, kernel, filesystem, web, and container layers. Covers symbolic-link races (open/access/stat split), file-descriptor races, fopen/realpath traversal races, /proc and procfs races, FUSE-backed slow-fs races to widen the window, ptrace and signal races, kernel double-fetch / userspace pointer races, container/runc/symlink escape primitives, kubernetes admission/authz TOCTOU, web auth-vs-authz TOCTOU, JWT-claim TOCTOU at gateway vs service, payment/idempotency races, and modern race-amplification techniques (single-packet attack, slow loris, FUSE pause, cgroup freeze, scheduler shaping). Use when you've identified a 'check then act' pattern in code, when fuzzing for race conditions, or when exploiting concurrency bugs in privileged binaries / kernel / orchestrators.
Install
npx skills add SnailSploit/Claude-Red --skill offensive-toctou -a claude-code
Installs to .claude/skills/offensive-toctou/ · 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 onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 92
Security100
Provenance87
Maintenance100
Licence100
Adoption61
Files (1)
- SKILL.md