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All Skills

Total 56,906 skills, AI & Machine Learning has 9463 skills

Categories

Showing 12 of 9463 skills

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AI & Machine Learningjohnlindquist/claude

packx

Bundle code context for AI. ALWAYS use --limit 49k unless user explicitly requests otherwise. Use for creating shareable code bundles and preparing context for LLMs.

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AI & Machine Learningparcadei/continuous-claud...

sub-agents

Create and configure Claude Code sub-agents with custom prompts, tools, and models

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14
AI & Machine Learningparcadei/continuous-claud...

parallel-agents

Parallel Agent Orchestration

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14
AI & Machine Learningparcadei/continuous-claud...

skill-upgrader

Upgrade any skill to v5 Hybrid format using decision theory + modal logic

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AI & Machine Learningparcadei/continuous-claud...

mot

System health check (MOT) for skills, agents, hooks, and memory

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AI & Machine Learningparcadei/continuous-claud...

validate-agent

Validation agent that validates plan tech choices against current best practices

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14
AI & Machine Learningpsylch/better-skills

skill-creator

Create new agent skills with best-practice templates. Guides through skill level selection (L0 pure prompt, L0+ with helper scripts, L1 with business scripts), environment strategy (stdlib/uv/venv), and generates ready-to-edit project files following runtime UX best practices. This skill should be used when creating a new skill, scaffolding a skill project, initializing skill templates, or when the user says 'help me build a skill', 'create a skill', '创建技能', '新建 skill'.

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6 scripts/Checked
AI & Machine Learninglaurigates/claude-plugins

health-plugins

Diagnose and fix plugin registry issues including orphaned entries and project-scope conflicts (addresses Claude Code issue

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14
AI & Machine Learningorientpine/honeypot

analyst-common-stock

주식/ETF 분석 에이전트 공통 규칙. 웹검색 직접 호출, 원문 인용, 교차 검증 프로토콜을 정의합니다. 환각 방지의 핵심 방어선.

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14
AI & Machine Learningmgratzer/bloomery

bloomery

Interactive tutorial that guides engineers through building their own coding agent (agentic loop) from scratch using raw HTTP calls to an LLM API. Supports Gemini, OpenAI (and compatible endpoints), and Anthropic. Supports TypeScript, Python, Go, and Ruby. Detects progress automatically. Use when someone says "build an agent", "teach me agents", or "/build-agent".

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AI & Machine Learningbout3fiddy/agents

housekeeping

Repository housekeeping workflows for AGENTS/CLAUDE architecture, progressive disclosure, and migration of legacy monolithic instruction files.

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14
AI & Machine Learningkazukinagata/shinkoku

reading-payment-statement

Reads images of payment statements and returns structured data. It can be called by other skills or directly by users.

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