Search Results: llm

Found 1,294 Skills

vibekanban

Vibe Kanban orchestration platform for AI coding agents: workspaces, sessions, task management, code review, git worktrees, multi-agent support. Keywords: Vibe Kanban, AI agents, Claude Code, Codex, Gemini, kanban board, git worktree, code review, MCP server, workspaces, sessions.

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Product & Designsimhacker/moollm

dog

Canine interactions, loyalty mechanics, and pack dynamics

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Backend Developmentbrojonat/llmsrules

fastapi-service

Build FastAPI services with JWT auth, structlog, and Prometheus metrics. Use when creating or modifying a Python HTTP server, adding authentication, structured logging, or instrumentation to a FastAPI app.

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Automationsimhacker/moollm

self-repair

Missing state triggers repair, not failure.

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AI & Machine Learningakiojin/llmlb

mcp-server-development

Expert guidance for building MCP (Model Context Protocol) servers using the TypeScript SDK. Use when developing MCP servers, implementing tools/resources/prompts, or working with the @modelcontextprotocol/sdk package. Covers server initialization, request handlers, Zod schemas, error handling, and JSON-RPC patterns.

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Tools & Utilitiessimhacker/moollm

format-design

How to design formats that succeed — simplicity, community, timing

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Version Controltestacode/llm-toolkit

worktree-manager

Gestiona git worktrees en .worktrees/. Usa cuando el usuario diga "crear worktree", "nuevo branch en paralelo", "trabajar en otra feature", "limpiar worktrees", "listar worktrees", o quiera desarrollo paralelo sin cambiar de branch.

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Code Qualitysimhacker/moollm

code-review

Systematic code analysis with evidence collection

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Backend Developmentbrojonat/llmsrules

air-go

Hot-reload Go apps with cosmtrek/air during development. Use when setting up dev workflows for Go HTTP servers, configuring .air.toml, or debugging hot-reload issues with SQLite, port binding, or file watchers.

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AI & Machine Learningbrojonat/llmsrules

multilabel-classification

Build a production-ready multilabel classifier on tabular data using XGBoost wrapped in MultiOutputClassifier. Use when each row can have multiple labels simultaneously (tags, attributes, gene functions, content moderation categories, multi-disease detection). Covers hamming loss, per-label metrics, label co-occurrence, MultiOutputClassifier vs ClassifierChain, and per-label SHAP. Default to this for any tabular multilabel problem.

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1 scripts/Checked

Automationjackwener/opencli

opencli-browser

Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.

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AI & Machine Learningjackwener/opencli

opencli-operate

Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.

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