AGENT SKILLS · WYPOSAŻENIE MISJI
Przydatne Agent Skills ocenione według realnego użycia
Porównuj zweryfikowane Skills: ich zastosowanie, zawartość pakietu, liczbę instalacji i wiarygodność źródła.
- ZAKRES KATALOGU
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- Skills
- 23 389
- repozytoria
- 3599
- ostatnia synchronizacja
- 6 lis 2026
TerminalSkillszustand
Zustand is a small state-management library for React: a store is a hook, components subscribe to slices of it with selectors, and no context provider is needed. Use when a user asks to "add a Zustand store", "share state between components without Redux", "persist state to localStorage", "fix Maximum update depth exceeded after upgrading to Zustand v5", "use Zustand with Next.js", or wants the persist, devtools, immer or subscribeWithSelector middleware. Covers the v5 API: typed stores, useShal
- Instalacje
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- GitHub Stars
- 192
- Aktualizacja
- 5 lis
livekitbuilding-livekit-agents
Builds voice and chat AI agents with LiveKit Agents and LiveKit Cloud. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping contex
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
livekitdebugging-livekit-agents
Drives a live multi-turn conversation with a LiveKit agent running locally, using lk agent debugger. Use when the user says "test my agent", "try my agent", "does this work", or "why did it call that tool", after editing an agent to check how it behaves, or when an agent on a speech-to-speech model or one that mishears users needs checking. The default for a bare "test"; for regression tests use testing-livekit-agents, for graded runs running-livekit-simulations.
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
livekitoperating-livekit-agents
Deploys and operates a LiveKit agent in production: shipping a version to LiveKit Cloud and rolling it back, secrets and configuration, the worker process model and prewarming, safe async inside worker processes, provider timeouts and degradation, graceful shutdown, SDK upgrades, and observability. Use when the user says "deploy my agent", "roll back the deployment", "tail the agent logs", "the first call after a restart is slow", "attached to a different loop / event loop is closed", "prewarm t
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
livekitreading-livekit-docs
Looks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: "does LiveKit support X", "what changed in agents 1.8", "what are the arguments to Y", "how much does LiveKit cost", "find an example of Z in the LiveKit repos", or before writing any LiveKit code. Other LiveKit skills load this one first. Covers the LiveKit Docs MCP serve
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
livekitrunning-livekit-simulations
Runs LiveKit agent simulations and acts on the results. Use when the user says "run my simulations", "regression test my agent before deploying", "run the scenarios", "use lk agent simulate", "did my agent pass", "why did this scenario fail", "run simulations in CI", "test the audio pipeline", "check turn-taking and interruptions", or wants to check whole-conversation behavior before shipping. Covers text and audio mode and what each catches, running against a local or deployed agent, degraded-a
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
livekittesting-livekit-agents
Writes turn-level tests for a LiveKit agent in the user''s normal test suite: pytest (Python) or Vitest (Node.js). Use when the user asks to "write tests for my agent", "add a test for this tool", "test the handoff", "pin this bug", "why does my agent test fail", or after building or changing agent behavior that needs regression coverage. Covers the SDK''s test session harness, assertions on messages, tool calls and handoffs, LLM judging of a reply against an intent, mocking tools, multi-turn te
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
livekitwriting-livekit-scenarios
Creates and maintains the scenarios a LiveKit agent simulation runs, and wires the agent to consume them. Use when the user asks "what should I test", "generate simulation scenarios", "write scenarios for my agent", "add a scenario for X", "organize my scenario files", "my simulations are flaky", "the scenario hits my real database", "seed state per scenario", "it passed but booked the wrong thing", "grade the final state", or wants to stress-test a flow before shipping. Covers generating a base
- Instalacje
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- GitHub Stars
- 74
- Aktualizacja
- 5 lis
mariadbmariadb-mcp
How to connect AI agents to MariaDB using the Model Context Protocol (MCP). Use when setting up MCP with MariaDB, connecting Claude Code, Cursor, or other AI tools to a MariaDB database, enabling natural language database queries, or building AI applications that need live database access. The MariaDB MCP Server lets agents query schemas, run read-only SQL, and perform semantic search against MariaDB.
- Instalacje
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- GitHub Stars
- 17
- Aktualizacja
- 13 paź
mariadbmariadb-vector
Best practices for using vectors and AI with MariaDB. Use when writing SQL involving VECTOR columns, building RAG or semantic search with MariaDB, choosing embedding models, designing vector indexes, or integrating MariaDB with AI frameworks like LangChain, LlamaIndex, or Spring AI. Also use when the user mentions MariaDB and any of: vectors, embeddings, similarity search, nearest neighbor, AI, RAG, or LLM. IMPORTANT — MariaDB has native built-in vector support since version 11.7; it is NOT a pl
- Instalacje
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- GitHub Stars
- 17
- Aktualizacja
- 13 paź
brandonburrusvisual-plan
This skill should be used whenever a plan for non-trivial work is being produced, presented, or proposed (a feature, design, refactor, migration, or any multi-step task), including in plan mode and together with whatever planning skill produced the plan. It is the default way to deliver a plan: instead of a wall of text, it renders the plan as MDX to a scannable, self-contained HTML page (diagrams, phases, file-change maps, comparisons) via the vplan CLI. It applies when the user says "plan this
- Instalacje
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- GitHub Stars
- 16
- Aktualizacja
- 15 wrz
fishaudiofish-audio-api
Write direct HTTP / WebSocket calls to the Fish Audio platform (TTS, ASR, voice design, voice models, wallet, real-time TTS streaming) without depending on the Python or JavaScript SDK. Use when the user asks to call Fish Audio from curl, a language without an official SDK, an edge/runtime environment that cannot install the SDK, or when they explicitly want raw REST / WebSocket code. Covers authentication, endpoint URLs, required headers, request / response schemas, MessagePack vs JSON vs multi
- Instalacje
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- GitHub Stars
- 12
- Aktualizacja
- 5 lis
fishaudiofish-audio-sdk
Write code with the official Fish Audio SDKs, Python (fishaudio, PyPI fish-audio-sdk) and JavaScript/TypeScript (fish-audio). Use when the user wants text-to-speech, speech-to-text, voice cloning / voice-model management, or realtime WebSocket TTS through the installed SDK rather than raw HTTP. Covers install and auth, sync + async Python, the TypeScript client, exact method signatures and defaults, model selection (including the S2.1 typing caveat), the real exception types, and the Python↔Java
- Instalacje
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- GitHub Stars
- 12
- Aktualizacja
- 5 lis
docusealcodocuseal-cli
Manage DocuSeal e-signature workflows from the terminal via the DocuSeal CLI - create templates from PDF/DOCX/HTML, send documents for signing, track submissions, and update submitters. Use when the user wants to run DocuSeal commands in the shell, scripts, or CI/CD pipelines. Always load this skill before running docuseal commands.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 30 paź
stefanoskarakasisbrand-voice
Builds a persona-adaptive Voice & Tone guide (brand attributes, tone shifts by buyer type and channel, forbidden language), then deepens brain Section 4. Trigger with "how should we sound", "voice guide", "our copy feels off", "we sound like everyone else", "adapt tone for", or any request to define, apply, or audit how the brand communicates.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasisbuyer-personas
Maps the enterprise buying committee (Economic Buyer, Champion, Technical Evaluator, End User, Procurement) before any messaging, then builds Dunford-structured, alternatives-anchored personas ready for positioning-messaging. Trigger with "map our buying committee", "who do we need to win over", "build our buyer personas", "who kills our deals", or any request to identify or profile the people involved in a B2B purchase.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasiscustomer-stories
Runs a B2B customer story from kickoff to customer approval: kickoff questions, internal brief, interview questions, a draft in one fixed structure, the customer review pack and an audit, with every stat and quote checked. Trigger on: "write a customer story", "kick off a case study", "customer interview questions", "prepare the customer review", "audit this customer story". Related: interview-summary, proof-points, writing-assistant.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasisexperiment-ideas
Generates several concrete, cost-efficient growth ideas, each with a channel, core message and cost-efficiency rationale, grounded in your brain's ICP, alternatives and market context. Trigger with "give me marketing ideas", "brainstorm growth tactics", "what should we try", "cheap ways to promote this", or any request to generate raw campaign or channel ideas before committing to one to test.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasisgaccs-brief
Builds, pressure-tests and outputs a complete GACCS Brief (Goals, Audience, Creative, Channels, Stakeholders) for any marketing, GTM or enablement project. Use whenever a PMM mentions a campaign, launch, content piece, event or enablement asset, or says "I need to write a brief", "help me think through this campaign", "I'm planning a launch", "where do I even start with this". Trigger on: "GACCS brief", "campaign brief", "I need a brief", "help me structure this project", "write a brief for", or
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasisgo-to-market-strategy
Assigns a launch tier (T1–T4) using a four-signal framework and generates a complete GTM brief with positioning angles, channel strategy, success metrics and competitive context. Use when planning a launch or deciding how much GTM investment an initiative deserves.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasisgtm-motions
Scores your GTM motion stack (Inbound, Outbound, Paid, Community, Partner, ABM, PLG) against ICP deal economics with blocking gates, then selects one primary and at most one secondary motion. Trigger with "which GTM motions should we use", "inbound vs outbound", "PLG vs sales-led", or any request to select or sequence acquisition channels.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasisinterview-summary
Turns raw customer interview transcripts into structured discovery outputs anchored in JTBD theory, with signal-level pattern detection and confidence scoring. Trigger on: "summarize interview", "process transcript", "interview summary", "what did customers say", "synthesize discovery", "interview debrief", "JTBD analysis", "customer insight", "research synthesis", or any request to process, structure, or extract meaning from a customer or prospect interview.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasismarket-context
Builds the "why now" layer (market maturity, macro forces, buying triggers, narrative arc, category moment), then deepens brain Section 5. Trigger with "why now", "what's our market context", "define our category", "market narrative", "what macro trends support us", "buying triggers", or any request to define, update, or audit the market forces that make your positioning credible.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis
stefanoskarakasismessage-house
Turns your existing positioning into one clean table: your core story at the top, your 3 supporting reasons to believe it below. Use when someone asks to "build a message house," "put our messaging in a message house," or wants positioning laid out as one scannable page.
- Instalacje
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- GitHub Stars
- 9
- Aktualizacja
- 3 lis