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.
49,492 skills from 2,391 repositories · updated 9 hours ago
49,492 skills
- huashu-article-editalchaincyf/huashu-skills标准化文章编辑流程，确保修改范围明确、进度可追踪、变更有记录。当用户说"编辑文章"、"修改文章"、"调整内容"、"改一下这篇"时使用此技能。WritingNo warnings★ 2.2K↓ —
- polarsK-Dense-AI/scientific-agent-skillsHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.DataNo warnings★ 56.1K↓ —Also in 2 other repos
- scenario-mai-imagescenario-labs/skillsUse when generating or editing images with Microsoft MAI Image models on Scenario via MCP: photoreal or stylized text-to-image with legible in-image typography, posters, packaging, magazine covers, ads, key art, or instruction-based editing such as text swaps, recoloring, object removal or replacement, background swaps, lighting changes, and full restyles. Keywords: MAI Image 2.5, 2.5 Pro, 2.5 Edit, 2.5 Pro Edit, Microsoft, txt2img, img2img, typography, text rendering, image edit.MediaNo warnings★ 2.2K↓ —
- google-cloud-filestore-auditinggoogle/skillsAudits Filestore instances on Google Cloud across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOT_SQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS). Use when assessing storage health posture, auditing NFS export permissions, identifying unprotected file shares, or validating zone failure domains. Don't use for Cloud Storage buckets, Persistent Disk, or NetApp Volumes.OfficialSecurityNo warnings★ 21.9K↓ —
- scenario-ad-variantsscenario-labs/skillsUse when making multiple independent ad or campaign edits from existing footage with Scenario: hook, CTA, copy, end-card, placement, or targeted visual variants. Also for revising one variant or resuming a partially completed batch. Not for a new commercial from a still image, ordinary single-clip grading, or automatic Cartesian combinations.MarketingNo warnings★ 2.2K↓ —
- arcgis-to-portaljsdatopian/portaljsMigrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to Parquet, pushes everything to Cloudflare R2 via Git LFS, appends dual-tier datasets.json entries, and writes a source-vs-derived parity report. Use to move a City or sector ArcGIS Hub open-data portal onto PortalJS with no server-side compute.DevOpsNo warnings★ 2.4K↓ —
- scenario-meshyscenario-labs/skillsUse when creating or refining 3D assets with Meshy models on Scenario via MCP: image-to-3D from one photo or 1-4 multi-view angles, text-to-3D, retexturing an existing GLB, remeshing to a target polycount, UV unwrapping, auto-rigging a humanoid character, or applying a library animation clip. Keywords: Meshy 7 and Meshy 6, Ultra mode, Smart Topology, PBR maps, texture prompt, triangle or quad topology, game-ready mesh, A-pose, T-pose, GLB pipeline.MediaNo warnings★ 2.2K↓ —
- note-takinginkeep/open-knowledgeHow to work in a Plain Notes project (the `plain-notes` starter pack): a flat notes/ folder plus a daily/ journal. The 'I just want to write' layout. Read when the project has these folders, OR when asked to jot a note, capture a quick thought, or write today's journal entry. Carries the linking habit and daily-entry behavior so templates and folder descriptions stay minimal. Complements the platform `open-knowledge` skill; does not replace it.ProductivityNo warnings★ 4.8K↓ —
- spark-memory-thermal-opswshobson/agentsManage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.ProductivityNo warnings★ 42.2K↓ —
- polarssickn33/agentic-awesome-skillsExpression-based DataFrame library for Python and Rust. Use for eager or lazy tabular analytics, ETL, and pandas migration; streaming support and memory needs depend on the query.DataNo warnings★ 49.1K↓ —
- open-knowledge-write-skillinkeep/open-knowledgeUse when the user wants to create, author, write, or design a new Agent Skill (a SKILL.md) — for OpenKnowledge or for their editors — including requests like 'help me write a skill', 'make a skill that…', 'turn this workflow into a skill', or improving an existing skill's triggering and discipline. Also use when capturing reusable agent guidance that should live as an installable skill rather than a one-off prompt. Covers choosing scope (project vs global), authoring inside a plugin or skills-distribution repo (write in the repo's own layout, never install), the SKILL.md frontmatter contract, progressive-disclosure structure, evaluating the skill, and installing it into the user's editors.WritingNo warnings★ 4.8K↓ —
- cloud-monitoring-promql-querygoogle/skillsGenerates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Use when asked to create, generate, write, or format PromQL queries, PromQL strings, or PromQL aggregations for Cloud Monitoring metrics and resources. Don't use for raw metric discovery or metric selection.OfficialWritingNo warnings★ 21.9K↓ —
- matlabK-Dense-AI/scientific-agent-skillsBuilds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.TestingNo warnings★ 56.1K↓ —Also in 2 other repos
- excelKlotzkette/claude-fuer-deutsches-rechtFür Excel-Anlagen und Zahlenbausteine: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.DocumentsNo warnings★ 1.8K↓ —
- open-knowledgeinkeep/open-knowledgeAuthoritative agent-runtime contract for working inside an OpenKnowledge project — a markdown-CRDT knowledge base exposed over MCP. Use whenever reading, listing, searching, editing, or linting any `.md` or `.mdx` file in the project, and before any `mcp__open-knowledge*` tool call (`exec`, `search`, `write`, `edit`, `lint`, and the rest). Installed by `ok init`, so its presence means this is an OpenKnowledge project and it governs every markdown file here. Covers the read/write tool surface, grounding and linking rules, folder/template conventions, the live browser preview, and the rule that OK's MCP tools — never native file tools — handle in-scope markdown.BrowserNo warnings★ 4.8K↓ —
- sympysickn33/agentic-awesome-skillsSymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.EngineeringNo warnings★ 49.1K↓ —
- sp3ndLeoYeAI/agent-master-skillsBuy products from Amazon using USDC on Solana. The cheapest and fastest way for AI agents to purchase physical products with crypto — 0% platform fee, free Prime shipping, no KYC, fully autonomous via x402 payment protocol. Supports 200+ countries across 22 Amazon marketplaces.FinanceNo warnings★ 2.2K↓ —
- scenario-video-adsscenario-labs/skillsUse when producing a video ad with Scenario from a product shot or brand assets: a mobile 9:16 or landscape 16:9 commercial, a TikTok, Reels, Shorts, YouTube, or CTV spot, or campaign creative needing a creative brief, storyboard, cinematic camera work, brand-faithful product footage, music and voiceover, captions, ad variants, budget planning, or platform delivery specs. Keywords: video ad, commercial, product video, advert, hook, CTA, end card, campaign, ad creative.MediaNo warnings★ 2.2K↓ —
- diarysickn33/agentic-awesome-skillsUnified Diary System: A context-preserving automated logger for multi-project development.ProductivityNo warnings★ 49.1K↓ —
- mirrord-cimetalbear-co/mirrordHelp users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in CI using mirrord to connect to staging/shared clusters.TestingNo warnings★ 5.4K↓ —
- agent-platform-eval-flywheelgoogle/skillsMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.OfficialDevOpsNo warnings★ 21.9K↓ —
- kaltstart-triageKlotzkette/claude-fuer-deutsches-rechtHauptworkflow für Notariatsmitarbeiter: führt Kundenunterlagen bis zur konkreten Urkunden- oder Anmeldevorlage an den Notar. Wählt zwischen Entwurf, Änderung und Vollzug, übernimmt belegte Daten und steuert nur den benötigten Fachskill samt gezielten Rückfragen.OtherNo warnings★ 1.8K↓ —
- deep-researchfeiskyer/claude-code-settingsMulti-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".ScienceNo warnings★ 1.7K↓ —
- lernsitzungKlotzkette/claude-fuer-deutsches-rechtFür Lerneinheit: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
escalation-management
cbrock84/headcount
DesignUpdated Oct 18, 2026
From the author
Handles customer situations that have exceeded normal support — severity assessment, incident communication, executive escalation, and recovering a relationship after a failure. Use this when a customer issue is escalating or has gone to leadership, during a customer-affecting outage, when a major account is at risk, when a relationship needs repairing after a failure, or to design the escalation path itself.
Install
npx skills add cbrock84/headcount --skill escalation-management -a claude-code
Installs to .claude/skills/escalation-management/ · 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 89
Security100
Provenance80
Maintenance100
Licence100
Adoption53
Files (2)
- SKILL.md
- references/sources.md