kevinnft

vLLM: high-throughput LLM serving, OpenAI API, quantization.

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AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.

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Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.

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lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).

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llama.cpp local GGUF inference + HF Hub model discovery.

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Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.

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Build a throwaway prototype to flush out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.

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Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.

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Audit social media accounts (TikTok, IG, etc.): scrape profiles, calculate engagement metrics, diagnose performance drops, interpret analytics screenshots.

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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

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REST/GraphQL API testing with automated validation — test endpoints, validate responses, check status codes, and ensure API contracts

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Use when you have a spec or requirements for a multi-step task, before touching code

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Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

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Reverse engineer and security-test Telegram bots — API analysis, callback interception, exploit discovery, and vulnerability documentation

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Comprehensive workflow for contributing features to open-source IDE and coding tool projects

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Analyze credential pooling operations and API reseller business models — economics, risks, detection patterns, and sustainability

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Use when implementing any feature or bugfix, before writing implementation code

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Karpathy's LLM Wiki: build/query interlinked markdown KB.

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Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

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Use when executing implementation plans with independent tasks in the current session

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Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

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Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

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