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 19 hours ago
49,492 skills
- typeuibergside/typeuiUse TypeUI with OpenClaw to access project design skills, brand kits, UI prompts, and layout variations through the TypeUI MCP server when creating or refining user interfaces.DesignNo warnings★ 2.2K↓ —
- flowkitK-Dense-AI/scientific-agent-skillsAnalyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO.EngineeringNo warnings★ 56.1K↓ —Also in 2 other repos
- lamindbK-Dense-AI/scientific-agent-skillsManages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.ScienceNo warnings★ 56.1K↓ —Also in 2 other repos
- relionK-Dense-AI/scientific-agent-skillsValidates and executes RELION single-particle cryo-EM refinement and half-map postprocessing. Supports STAR optics/acquisition checks, particle-stack consistency, gold-standard half sets, soft-mask validation, diagnostic Fourier shell correlation, and restart guidance.OtherNo warnings★ 56.1K↓ —Also in 2 other repos
- cloud-monitoring-alert-configurationNewgoogle/skillsConfigures Cloud Monitoring alerting policies using Terraform and PromQL across Cloud Run, Google Kubernetes Engine (GKE), Compute Engine, AI Hypercomputer reservations, Vertex AI Agent Engine, and generic Google Cloud resources. Use when creating, reviewing, migrating, or deduplicating Terraform alerting policies for latency, traffic, error rates, saturation, host or reservation maintenance, GPU XID insights, or AI agent telemetry. Don't use for standalone PromQL query authoring without alerting, log querying, or billing cost audits.OfficialDevOpsNo warnings★ 21.9K↓ —
- taxcbrock84/headcountStructures the tax questions a growing business faces — corporate income, sales and use, payroll, nexus, and the obligations created by hiring or selling somewhere new. Use this to work out what a new state or country obligates you to, prepare for a tax filing or audit, understand sales tax on your product, or check what a remote hire or new market triggers.FinanceNo warnings★ 2.6K↓ —
- molfeatK-Dense-AI/scientific-agent-skillsFeaturizes small molecules with Molfeat for QSAR/QSPR, chemical similarity, virtual screening, and molecular ML. Covers ECFP/MACCS fingerprints, RDKit descriptors, pharmacophores, pretrained embeddings, configuration persistence, and molecule-to-label alignment.ScienceNo warnings★ 56.1K↓ —Also in 2 other repos
- service-level-managementcbrock84/headcountDefines and manages service levels — setting targets that reflect what customers need, measuring honestly, and handling breaches. Use this to write or negotiate an SLA, decide what to measure and at what threshold, respond to a missed service level, or work out why a service that meets its targets still has unhappy customers.WritingNo warnings★ 2.6K↓ —
- zxLeoYeAI/agent-master-skillsComprehensive guide for writing shell scripts with Google zx — a tool for writing better scripts using JavaScript/TypeScript. Use when writing, debugging, or refactoring zx scripts (.mjs, .js, .ts files using zx), executing shell commands from JavaScript, working with ProcessPromise/ProcessOutput APIs, piping streams, configuring zx options, or using zx CLI. Do NOT use for general Node.js questions unrelated to shell scripting.WritingNo warnings★ 2.2K↓ —
- assuredworkloads-environment-assessorgoogle/skillsDiscover Google Cloud resource telemetry and effective Org Policies, evaluate brownfield workloads against sovereign data boundary and compliance standards (EU Data Boundary with Support, FedRAMP Moderate/High, DoD IL4/IL5, ITAR, CJIS, US/EU Regional Data Boundaries), and recommend the optimal Assured Workloads Framework. Use when asked to: "assess my environment for compliance", "which Assured Workloads framework should I use?", "check if my folder is ready for EU sovereignty", "evaluate compliance posture for folders/123 or projects/xyz", or "discover compliance gaps before deployment". Do NOT use for live mutating policy deployments, generating deep audit reports via Cloud Audit Manager, generating remediation scripts, or authoring custom Assured Workloads frameworks.OfficialDevOpsNo warnings★ 21.9K↓ —
- jobs-to-be-donewondelai/skillsDiscover what customers truly need by analyzing the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", "product-market fit", "switching behavior", "milkshake moment", or "functional vs emotional jobs". Also trigger when investigating why users choose competitors, designing features around real customer needs, or reframing a value proposition. Covers JTBD interviews, competition analysis, and jobs-oriented roadmaps. For product positioning, see obviously-awesome. For rapid validation, see design-sprint. For non-leading interview technique, see mom-test.TestingNo warnings★ 2.6K↓ —Also in 2 other repos
- redteam-qualitygateKlotzkette/claude-fuer-deutsches-rechtFür Patentrecht Red Team: prüft Ergebnis, Beweislast und Gegenposition; Ergebnis: Gegenprüfung mit Beweis- und Fristencheck.OtherNo warnings★ 1.8K↓ —
- voice-of-customercbrock84/headcountBuilds the loop from what customers say to what gets changed — collecting feedback, distinguishing signal from noise, routing it to owners, and closing the loop back to the customer. Use this to set up a feedback program, design or interpret CSAT/NPS, decide what customer feedback deserves action, get product to act on recurring issues, or diagnose why feedback is collected but nothing changes.DesignNo warnings★ 2.6K↓ —
- team-topologieswondelai/skillsOrganize business and technology teams for fast flow using Skelton & Pais's "Team Topologies". Use when the user mentions "team topologies", "Conway's law", "platform team", "stream-aligned team", "team boundaries", "cognitive load", "how should we split teams", "who owns this service", "team dependencies", or "reorg". Also trigger when reorganizing engineering teams, aligning team and service boundaries, splitting a monolith and deciding ownership, reducing cross-team handoffs, or designing an internal platform. Covers the four team types, three interaction modes, the inverse Conway maneuver, and fracture planes. For bounded contexts, see domain-driven-design. For dependency direction in code, see clean-architecture.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- dev-retrocodeaholicguy/ai-devkitAI DevKit · Run an evidence-based retrospective on finished work (feature, session, incident) and turn friction into durable fixes, automation first. Use when users ask for a retro, lessons learned, post-mortem, or "what went wrong", or when another skill offers one after a feature or fix.OtherNo warnings★ 1.7K↓ —
- qutipK-Dense-AI/scientific-agent-skillsSimulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.PlanningNo warnings★ 56.1K↓ —Also in 2 other repos
- unterlagen-lueckenKlotzkette/claude-fuer-deutsches-rechtFür Unterlagen und Lücken: ordnet Akte, Belege und Lücken; Ergebnis: Dokumentenmatrix mit Nachforderungsliste. Fachgebiet: Energierecht.OtherNo warnings★ 1.8K↓ —
- readgzhLeoYeAI/agent-master-skillsReadGZH — Let AI read full-text WeChat Official Account articles. Supports standard articles and image-post formats.MediaNo warnings★ 2.2K↓ —
- pylabrobotK-Dense-AI/scientific-agent-skillsDevelops and reviews PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Supports PyLabRobot protocols and API questions; keep physical execution behind an explicit operator safety gate.PlanningNo warnings★ 56.1K↓ —
- ressort-bmjvKlotzkette/claude-fuer-deutsches-rechtFür Ressort-Heranführung BMJV: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- seedance-sports-extremeLearnPrompt/awesome-seedanceThe clip lives or dies on the action loop. Write every link from run-up to landing in order, name the physics you want by part, and spend the negative list on flying, hovering and teleporting. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Sports and extreme stunts; 中文触发词: 体育与极限运动, 体育, 极限运动, 跑酷, 滑板), or asks how published cases of this type were prompted. Read references/cases.md before drafting.MediaNo warnings★ 2.4K↓ —
- design-postgis-tablestimescale/pg-aiguideComprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applicationsDesignNo warnings★ 1.9K↓ —
- matchmsK-Dense-AI/scientific-agent-skillsProcesses, cleans, compares, and searches tandem mass spectra with matchms. Use for MS/MS file I/O, metadata harmonization, peak filtering, spectral similarity, library matching, score matrices, and molecular-similarity networks. Use pyopenms instead for LC-MS feature detection or proteomics pipelines.PlanningNo warnings★ 56.1K↓ —Also in 2 other repos
- learning-and-developmentcbrock84/headcountBuilds capability — skills gaps, career frameworks, training that transfers to the job, and internal mobility. Use this to design a career ladder, close a capability gap, decide whether to build or hire a skill, structure onboarding into a role, or work out why training keeps failing to change anything.DesignNo warnings★ 2.6K↓ —
monetizing-innovation
wondelai/skills
DesignUpdated 3 days ago
From the author
Design products and pricing around validated willingness to pay, from Ramanujam & Tacke's "Monetizing Innovation". Use when the user mentions "pricing", "how much should we charge", "willingness to pay", "pricing page", "packaging", "freemium vs free trial", "are we leaving money on the table", "nobody buys at this price", "price increase", or "good-better-best". Also trigger when designing or auditing pricing and packaging, validating willingness to pay before building, segmenting customers by value, or choosing between subscription, usage-based, and freemium models. Covers price-before-product, willingness-to-pay talks, the four failures (feature shock, minivation, hidden gem, undead), leader/filler/killer packaging, and behavioral pricing. For offers and guarantees, see hundred-million-offers. For what customers value, see jobs-to-be-done.
Install
npx skills add wondelai/skills --skill monetizing-innovation -a claude-code
Installs to .claude/skills/monetizing-innovation/ · 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
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Why 89
Security100
Provenance81
Maintenance100
Licence100
Adoption54
Files (6)
- SKILL.md
- references/case-studies.md
- references/four-failures.md
- references/monetization-models.md
- references/packaging-tiers.md
- references/wtp-conversations.md