TerminalSkil
1053 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
TerminalSkillspreact
Preact is a 3kB alternative to React with the same modern API — components, hooks, and JSX — plus first-class fine-grained reactivity through @preact/signals. Use when a user wants to build a performance-critical web app, embedded widget, or mobile-first site with a smaller bundle than React, wants to add reactive signals state, or wants to reuse an existing React component library on top of Preact via the preact/compat layer.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprediction-markets
Build tools and dashboards for prediction markets — Polymarket, Manifold, Kalshi, and Metaculus. Use when tasks involve fetching prediction market data, building probability dashboards, analyzing market liquidity, creating trading bots for prediction markets, visualizing event probabilities, or tracking forecasting accuracy. Covers both API integration and market analysis.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprefect
Prefect is a Python workflow orchestration framework that turns functions into observable, retryable, schedulable data pipelines. Use when asked to "orchestrate a Python pipeline", "schedule a flow with cron", "add retries and caching to tasks", "deploy a Prefect flow", "run a worker" or "alert when a flow fails". Covers Prefect 3.x flows and tasks, cache policies, flow.serve, work pools with workers, the prefect deploy CLI, blocks, variables and failure hooks.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprettier
Prettier is an opinionated code formatter that enforces a consistent style across your entire codebase. Unlike linters that flag problems for you to fix, Prettier rewrites your code automatically. It supports JavaScript, TypeScript, HTML, CSS, JSON, Markdown, YAML, and many other languages. By removing style debates from code review, Prettier lets teams focus on logic and architecture instead of arguing about tabs versus spaces or trailing commas.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillspricing-strategy
Sets and reworks software pricing: which unit to charge for, how to split features and limits into plans, where to set each price, and how to move new and existing customers to it. Covers a first price for a product with no customers yet, diagnosis of the weak lever from billing and usage data, willingness-to-pay research, revenue modelling, and the migration and notice plan. Use when someone says "how much should I charge", "pricing tiers", "packaging", "value metric", "per seat or usage-based"
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprisma
Prisma ORM is a TypeScript database toolkit with a declarative schema, a generated type-safe client, and a migration system for PostgreSQL, MySQL/MariaDB, SQLite, SQL Server, CockroachDB and MongoDB. Use when someone asks to "set up Prisma", "write a Prisma schema", "run a Prisma migration", "query with Prisma Client", "fix Prisma 7 adapter errors", or "upgrade from prisma-client-js".
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproduct-analytics
Frameworks and queries for measuring a software product: North Star and input metrics, AARRR funnels, retention cohorts, and A/B test design with sample-size math. Use when someone asks to "define product metrics", "find our aha moment", "analyze retention", "build a funnel", "size an A/B test" or "why are users churning".
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproduct-discovery
Expert guidance for product discovery, the continuous process of deciding what to build based on evidence rather than opinions. Helps product teams identify assumptions, design experiments, conduct user interviews, build opportunity solution trees, and prioritize what to validate next — following frameworks from Teresa Torres (Continuous Discovery Habits) and Alberto Savoia (The Right It).
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproduct-marketing-context
Creates and maintains .claude/product-marketing-context.md, one sourced file that records what the product is, who buys it, what they use instead, the proof behind each claim, customer wording, pricing and goals, so later marketing tasks read facts instead of asking again or guessing. Drafts it from the repository and site, interviews the user for the gaps, tags every statement with its source, and checks the file with a script. Use when someone says "set up marketing context", "product context"
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproduct-strategy
Expert guidance for product strategy, helping product leaders define product vision, craft positioning, analyze competitive landscapes, choose pricing models, and build outcome-driven roadmaps. Applies frameworks from Marty Cagan (Empowered), April Dunford (Obviously Awesome), Gibson Biddle (DHM Model), and Reforge.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproductivity-mental-models
Apply proven mental models to boost personal and team productivity — focus techniques, decision frameworks, and task management principles. Use when: improving personal productivity, making better decisions faster, coaching teams on effective work habits.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprogrammatic-seo
Plans, builds and vets sets of search landing pages generated from a dataset and a template: integration, location, directory and glossary pages. Decides whether a page set deserves to exist, sets the data each page must carry, checks it against Google's spam policies on scaled content, doorway pages and site reputation, gates thin pages before publishing, rolls out in batches and reads Search Console to see what was indexed or dropped. Use when someone says "programmatic SEO", "generate pages a
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproject-skill-audit
Audits a repository to decide which agent skills it should have: inventories the skills and instruction files already present, mines session history, memory, scripts and commits for procedures that keep being repeated, and returns a ranked list of skills to create, update, merge or retire, each backed by evidence. Also says what should be an instruction-file rule, a hook or a script instead of a skill. Use when the user asks "what skills should this project have", "audit our skills", "are our sk
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprometheus-alertmanager
Configure Prometheus Alertmanager for alert routing, grouping, silencing, and notification delivery. Use when a user needs to set up alert receivers (Slack, PagerDuty, email), define routing trees, manage silences and inhibition rules, or troubleshoot alert delivery pipelines.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprompt-engineering
Prompt engineering techniques for LLMs — zero-shot, few-shot, chain-of-thought, ReAct, and structured prompting. Use when designing prompts for AI features, improving LLM output quality, building reliable AI pipelines, or getting consistent structured responses from language models.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprompt-tester
Design, test, and iterate on AI prompts systematically using structured evaluation criteria. Use when building AI features, optimizing agent instructions, comparing prompt variants, or evaluating output quality across edge cases. Trigger words: prompt engineering, prompt testing, eval, LLM evaluation, prompt comparison, A/B test prompts, prompt optimization, system prompt, instruction tuning.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillspromptfoo
Promptfoo is an open-source framework that tests and evaluates LLM prompts systematically. Use when someone asks to "test my prompts", "evaluate LLM output", "Promptfoo", "prompt regression testing", "compare LLM models", "LLM evaluation framework", or "benchmark prompts against test cases". Covers test cases, assertions, model comparison, red-teaming, and CI integration.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprompts-chat
Browse, search, and self-host a community prompt library with 1000+ curated prompts. Use when: finding proven prompts for specific tasks, building a team prompt library, learning prompt patterns from community-tested examples.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsproposal-writer
Create compelling business proposals that win deals and partnerships. Use when a user asks to write a proposal, draft a business proposal, create a project proposal, prepare a bid, write a pitch document, or generate a partnership proposal. Produces structured, persuasive documents ready for client delivery.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillsprotobuf
Define data schemas with Protocol Buffers (protobuf), Google's language-neutral binary serialization format, and generate typed code for TypeScript, Go, Python and other languages. Use when the user asks about ".proto files", "protobuf schema", "gRPC service definition", "buf generate", "protoc", "binary serialization", or how to change a schema without breaking existing clients (field numbers, reserved fields, backward compatibility).
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillspulumi
Assists with defining and managing cloud infrastructure using Pulumi with TypeScript, Python, Go, or C. Use when provisioning AWS, GCP, Azure, or Kubernetes resources with real programming languages instead of HCL. Trigger words: pulumi, infrastructure as code, iac, pulumi up, pulumi stack, cloud infrastructure, component resource.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillspuppeteer
Automate browsers and scrape dynamic websites with Puppeteer. Use when a user asks to scrape JavaScript-rendered pages, automate browser interactions, take screenshots of web pages, generate PDFs from URLs, test web UIs, fill out forms programmatically, crawl SPAs, extract data from dynamic sites, automate login flows, or build web scrapers that need a real browser. Covers headless Chrome, page navigation, DOM interaction, network interception, screenshots, PDF generation.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillspusher
Pusher Channels is a hosted real-time messaging service: your server triggers events over HTTP and browsers receive them over WebSockets, with no socket infrastructure to run. Use this skill when a user wants to add live notifications, dashboards, chat, typing indicators or online-presence lists with pusher / pusher-js, authorize private and presence channels, send batch triggers, or verify Pusher webhooks.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott
TerminalSkillspydantic
Pydantic validates and serializes Python data using type hints: define a model class and it parses, coerces and checks input, then dumps it back to dicts or JSON. Use when a user asks to validate API request bodies, parse JSON, load typed settings from environment variables, define data models, write custom validators, parse tagged unions of event types, or migrate code from Pydantic v1 to v2.
- installazioni
- 0
- GitHub Stars
- 180
- Aggiornato
- 25 ott