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 16 hours ago
47,548 skills
- virtualization-operationscbrock84/headcountRuns the hypervisor layer beneath the servers — host capacity and consolidation ratios, VM sprawl, snapshot discipline, resilience and live migration, and licensing that counts cores rather than instances. Use this to size or expand a cluster, work out why VMs are slow when the hosts look idle, clean up sprawl, set snapshot and template policy, or decide what stays virtualized and what moves to cloud.OtherNo warnings★ 2.6K↓ —
- gke-alert-configurationgoogle/skillsConfigures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using Multi-Window Multi-Burn-Rate SLO alerts, memory saturation, and cluster health such as CrashLoopBackOff and Node NotReady conditions. Don't use for non-GKE compute runtimes such as standalone Compute Engine VMs or standalone Cloud Run services without GKE.OfficialDevOpsNo warnings★ 21.8K↓ —
- biopythonK-Dense-AI/scientific-agent-skillsProvides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.ScienceNo warnings★ 55.6K↓ —Also in 1 other repo
- huashu-video-outlinealchaincyf/huashu-skills快速生成2-3个视频大纲方案，含标题、封面建议和结构设计。当用户提到"视频大纲"、"视频结构"、"脚本大纲"、"视频选题"时使用。MediaNo warnings★ 2.2K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OfficialMediaNo warnings★ 11.2K↓ —
- pmf-strategykostja94/marketing-skillsWhen the user wants to validate product-market fit, measure PMF, or plan before scaling. Also use when the user mentions "PMF," "product-market fit," "product market fit," "Sean Ellis test," "very disappointed," "vitamin vs painkiller," "PMF validation," "premature scaling," or "validate before scale." For GTM after validation, use gtm-strategy.TestingNo warnings★ 1.1K↓ —
- django-tddhashgraph-online/awesome-codex-pluginsDjango testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.TestingNo warnings★ 1.5K↓ —
- brooks-debthyhmrright/brooks-lintTech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks "why is this so hard to change?", "what should we fix first?", or "how do I justify refactoring to management?". Do NOT trigger for: server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime — "health" in those contexts is infrastructure, not code quality. Also not for single-function refactoring questions.DevOpsNo warnings★ 1.6K↓ —
- agentlas-operationsagentlas-ai/Agentlas-OSAgentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.OtherNo warnings★ 1.6K↓ —
- agentlas-callagentlas-ai/Agentlas-OSPrepare explicitly named Agentlas Hub or Cloud agents.OtherNo warnings★ 1.6K↓ —
- skill-lifecycle-promotionagentlas-ai/Agentlas-OSUse when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- brooks-testhyhmrright/brooks-lintTest quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow execution, poor readability. Triggers when: user asks about test quality, shares test files for review, or expresses frustration: "tests keep breaking whenever I change anything", "our tests take forever", "tests pass but bugs still reach production", or "we have too many mocks". Do NOT trigger for: writing new tests from scratch (use the regular test-writing workflow) or testing framework/syntax questions — this skill reviews an existing suite for structural quality problems, not individual test authoring.TestingNo warnings★ 1.6K↓ —
- agentlas-buildagentlas-ai/Agentlas-OSUse when the user types /agentlas-build, /agentlas build, or /hep-build to design, build, and package a single agent or multi-agent team.DesignNo warnings★ 1.6K↓ —
- agentlas-hubagentlas-ai/Agentlas-OSStaff a task only from public Agentlas Hub agents.ProductivityNo warnings★ 1.6K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ScienceNo warnings★ 1.3K↓ —
- skill-evalhashgraph-online/awesome-codex-pluginsMeasure whether a skill helps by comparing runs with and without it. Use when: reading skill A/B results or deciding to keep, revise or remove one.OtherNo warnings★ 1.5K↓ —Also in 2 other repos
- launch-nemo-rlNVIDIA/skillsPlaybook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.DevOpsNo warnings★ 3.8K↓ —
- self-evolving-single-agentagentlas-ai/Agentlas-OSUse when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.ScienceNo warnings★ 1.6K↓ —Also in 4 other repos
- compliance-osalirezarezvani/claude-skillsUse when running several compliance frameworks at once: which apply, where controls overlap, a mock audit or one evidence checklist. Runs framework_selector.py, cross_framework_mapper.py, audit_simulator.py and evidence_pool_generator.py.LegalNo warnings★ 29.1K↓ —
- pinme-authglitternetwork/pinmeUse when a PinMe project (Worker TypeScript) needs to integrate user authentication — creating email/password users, verifying id_tokens, querying user info, or listing users via Identity Platform auth proxy APIs.EngineeringNo warnings★ 3.8K↓ —
- paper-search-usagefcakyon/claude-codex-settingsThis skill should be used when the user asks to "search for papers", "find research papers", "search arXiv", "search PubMed", "look up a DOI", "download a paper", "search IEEE", or "search Scopus".ScienceNo warnings★ 1.2K↓ —
- ceo-advisoralirezarezvani/claude-skillsUse for CEO-level questions: company strategy, board and investor management, fundraising, org design or culture. Models scenarios with financial_scenario_analyzer.py and strategy with strategy_analyzer.py.DesignNo warnings★ 29.1K↓ —
- minutes-searchsilverstein/minutesSearch past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".PlanningNo warnings★ 1.6K↓ —Also in 1 other repo
- scenario-chatgpt-pet-updatescenario-labs/skillsUse when changing an existing ChatGPT pet or Codex pet sprite sheet with Scenario: fixing a broken row, frame, jump or edge, regenerating one animation state, adding the sixteen look directions to a 1536x1872 v1 sheet, giving the pet a new outfit, color or accessory, renaming it in its pet.json, or checking a pet sheet and previewing it as an animated GIF.MediaNo warnings★ 1.4K↓ —
feature-launch-playbook
rampstackco/claude-skills
PlanningUpdated 6 days ago
From the author
The operational playbook for launching a feature well. Positioning, internal alignment, customer comms, sales enablement, support readiness, rollout strategy, monitoring with pre-defined rollback triggers, post-launch measurement against spec hypotheses, and the discipline that distinguishes shipping from releasing from actually launching. Triggers on launch plan, feature launch, launch checklist, ship vs release, rollout strategy, gradual rollout, sales enablement, support readiness, launch announcement, post-launch measurement, launch failure, declared victory too early. Also triggers when planning a launch (any size, any segment), auditing an existing launch process, fixing the we shipped it but the metric did not move problem, or building a launch checklist for the team.
Install
npx skills add rampstackco/claude-skills --skill feature-launch-playbook -a claude-code
Installs to .claude/skills/feature-launch-playbook/ · 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 88
Security100
Provenance76
Maintenance100
Licence100
Adoption49
Files (12)
- README.md
- SKILL.md
- references/common-launch-failures.md
- references/customer-comms-playbook.md
- references/internal-alignment-checklist.md
- references/launch-tier-decision.md
- references/monitoring-readiness-checklist.md
- references/positioning-canvas.md
- references/post-launch-measurement-framework.md
- references/rollout-strategy-patterns.md
- references/sales-enablement-template.md
- references/support-readiness-checklist.md