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.
47,966 skills from 2,309 repositories · updated 4 hours ago
47,964 skills
- hive.terminal-tools-job-controladen-hive/hiveUse when launching anything that runs longer than a minute, anything that streams logs, anything you want to keep running while doing other work — or when terminal_exec auto-backgrounded on you and returned a job_id. Teaches the start→poll→wait pattern with terminal_job_logs offset bookkeeping, bounded blocking polls, platform-specific process control via terminal_job_manage capabilities, and the hard rule that jobs die when the terminal-tools server restarts. Read before calling terminal_job_start, or right after terminal_exec auto-backgrounded.PlanningNo warnings★ 11.1K↓ —
- firebase-hosting-basicsfirebase/agent-skillsDeploys and configures classic Firebase Hosting for static websites, single-page apps (SPAs), and microservices. Use when deploying static sites/SPAs, setting up custom domains, configuring firebase.json hosting settings (redirects, rewrites, headers, multi-site), or managing preview channels. Don't use for Firebase App Hosting (Next.js/SSR), Auth, Firestore queries/rules, Data Connect, or Crashlytics.OfficialDevOpsNo warnings★ 493↓ —
- firebase-auth-basicsfirebase/agent-skillsGuide for setting up and using Firebase Authentication. Use this skill when the user's app requires user sign-in, user management, or secure data access using auth rules.OfficialOtherNo warnings★ 493↓ —
- sound-effectselevenlabs/skillsGenerate sound effects from text descriptions using ElevenLabs. Use when creating sound effects, generating audio textures, producing ambient sounds, cinematic impacts, UI sounds, or any audio that isn't speech. Supports looping, duration control, and prompt influence tuning.OfficialDesignNo warnings★ 520↓ —
- 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★ 603↓ —Also in 1 other repo
- rdd-defect-workflowGentleman-Programming/gentle-aiTrigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.ProductivityNo warnings★ 8.1K↓ —Also in 1 other repo
- cognitive-doc-designGentleman-Programming/gentle-aiDesign docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.DesignNo warnings★ 8.1K↓ —Also in 1 other repo
- elasticsearch-onboardingelastic/agent-skillsHelp developers new to Elasticsearch get from zero to a working search experience. Guide them through understanding their intent, mapping their data, and building a search experience with best practices baked in. Use this when the user shows intent to build search-related functionality, asks about Elasticsearch-related concepts for their use case, or expresses the need for help getting started with Elasticsearch.OfficialOtherNo warnings★ 603↓ —Also in 1 other repo
- presentation-creatorgetsentry/skillsCreate data-driven presentation slides using React, Vite, and Recharts with Sentry branding. Use when asked to "create a presentation", "build slides", "make a deck", "create a data presentation", "build a Sentry presentation". Scaffolds a complete slide-based app with charts, animations, and single-file HTML output.OfficialDocumentsNo warnings★ 1.1K↓ —
- secret-serializationgetsentry/skillsFinds secrets, tokens, passwords, and API keys that can leak through generated serialization: Python dataclass repr and asdict, attrs, pydantic model_dump, NamedTuple, JavaScript JSON.stringify and util.inspect, structured logs, tracing spans, and error reports. Use when asked to "check for secret serialization", "credential in repr", "repr=False audit", "secret in spans", "token in logs", or when a change adds a credential field to a dataclass, model, or config object, or adds code that stringifies whole objects or every kwarg into telemetry.OfficialEngineeringNo warnings★ 1.1K↓ —
- security-ml-integrationsNewelastic/agent-skillsInstall and manage Elastic security ML integration packages (beaconing, ded, dga, lmd, pad, problemchild). Handles the full lifecycle: pre-flight checks, Fleet package install, component templates, ingest pipelines, transforms, data views, ML anomaly detection jobs, and detection rules. Use when a user asks to install, set up, check the status of, or troubleshoot a security ML integration package.OfficialSecurityNo warnings★ 603↓ —Also in 1 other repo
- kibana-workflowselastic/agent-skillsAuthor, validate, test, run, and inspect Elastic Workflow YAML definitions. Use when the user wants to turn natural language into a Kibana workflow, fix workflow YAML, understand triggers or steps, or run a quick test loop against a real Kibana.OfficialTestingNo warnings★ 603↓ —Also in 1 other repo
- mission-slice-sopmvschwarz/openrigUse when starting, building, handing off, restoring, or closing a mission or slice under the default lightweight SDLC.OtherNo warnings★ 8.3K↓ —
- ai-visibilityRyze-AI-Adgent/open-seo-mcp-skillsMeasure real AI-engine visibility — traffic from ChatGPT, Perplexity, Claude, Gemini and which pages they cite — from actual GA4 referral data, not prompt sampling. Use when asked "AI visibility", "GEO/AEO check", "do LLMs cite us", "traffic from ChatGPT", or "how do we show up in AI search".OtherNo warnings★ 8.1K↓ —
- software-for-agentsmvschwarz/openrigUse when older OpenRig instructions name software-for-agents or describe agent-in-the-middle or studio software under the former skill name.OtherNo warnings★ 8.3K↓ —
- retiring-and-inheriting-a-seatmvschwarz/openrigUse when you are a sitting agent near your context threshold (~85%) and a PLANNED seat transition is due — retire deliberately and hand your seat to a fresh successor primed from a packet, rather than let compaction degrade you. Covers the handover packet, the append-only lineage ledger (one row per tenure), physical-seat continuity, the do-not-over-inherit framing, the optional warm-handoff window, and wake-v0 (consulting a retired predecessor). NOT for unplanned compaction/crash recovery (session-compaction-and-restore / claude-compaction-restore) and NOT the seat-binding primitive mechanics (seat-continuity-and-handover).PlanningNo warnings★ 8.3K↓ —
- hive.image-generationaden-hive/hiveRequired before calling image_generate. Create and edit images from a prompt — generate an image, make a picture / logo / illustration / icon / banner / poster / thumbnail / hero image / mockup / product shot / social graphic, or edit / restyle / combine existing images from reference images. Uses OpenAI gpt-image-2 through the Hive image service, billed to the user's Hive credits like an LLM call (no API key needed). Teaches the exact call shape, the quality/cost tradeoff (quality="low" is the default and cheapest), reference-image editing, how to show the result to the user with attach_file, and the failure modes (out of credits, model unavailable, moderation).MediaNo warnings★ 11.1K↓ —
- context-engineeringmvschwarz/openrigUse when designing, reviewing, or debugging how an agent's context window gets filled, pruned, or shared — choosing what loads at boot versus on demand, sizing an install or an always-loaded file, fixing an agent that drifts, repeats itself, or forgets constraints mid-task, planning compaction or summarization, deciding single-agent versus subagents, engineering handoffs between agents, or picking a tool loadout. NOT for rewording a prompt's tone, choosing which model to pin, or debugging business logic — those are adjacent moments this skill does not serve. Historical 2024–2025 snapshot; not normative for present-day frontier models — see the Status section.ProductivityNo warnings★ 8.3K↓ —Also in 1 other repo
- 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★ 8.3K↓ —Also in 1 other repo
- rails-expertJeffallan/claude-skillsRails 7+ specialist that optimizes Active Record queries with includes/eager_load, implements Turbo Frames and Turbo Streams for partial page updates, configures Action Cable for WebSocket connections, sets up Sidekiq workers for background job processing, and writes comprehensive RSpec test suites. Use when building Rails 7+ web applications with Hotwire, real-time features, or background job processing. Invoke for Active Record optimization, Turbo Frames/Streams, Action Cable, Sidekiq, RSpec Rails.TestingNo warnings★ 12.1K↓ —
- openrig-cmuxmvschwarz/openrigUse when opening OpenRig fleet terminals into cmux — turning a rig, pod, mission, slice, or saved view into live agent tiles via `rig terminal --provider cmux`, or driving cmux on an agent's request. Same OpenRig view semantics as openrig-herdr (the verbs, honest-partial/degrade, read-only cross-rig, scroll/copy, same-size-only duplicates); cmux is the **best-effort** provider (herdr is the default and the proof-gated one). Prefer openrig-herdr unless cmux is specifically wanted.PlanningNo warnings★ 8.3K↓ —Also in 1 other repo
- verification-before-completionjnMetaCode/superpowers-zh在宣称工作完成、已修复或测试通过之前使用,在提交或创建 PR 之前——必须运行验证命令并确认输出后才能声称成功;始终用证据支撑断言OtherNo warnings★ 8.4K↓ —
- test-driven-developmentjnMetaCode/superpowers-zh在实现任何功能或修复 bug 时使用,在编写实现代码之前TestingNo warnings★ 8.4K↓ —
- writing-plansjnMetaCode/superpowers-zh当你有规格说明或需求用于多步骤任务时使用,在动手写代码之前WritingNo warnings★ 8.4K↓ —
offensive-vuln-classes
SnailSploit/Claude-Red
From the author
claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a specific attack surface — from SQLi to shellcode, EDR evasion to exploit development.
The frontmatter could not be read (no frontmatter); the folder name is shown instead.
Install
npx skills add SnailSploit/Claude-Red --skill offensive-vuln-classes -a claude-code
Installs to .claude/skills/offensive-vuln-classes/ · 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
No warnings.
Why 92
Files (1)
- SKILL.md