Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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koan-bootstrap
Auto-registration via KoanAutoRegistrar, minimal Program.cs, "Reference = Intent" pattern
majiayu000/claude-skill-registry 163
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repository-pattern
Use repositories to encapsulate database queries and provide a clean interface for data access Use when designing system architecture. Architecture category skill.
majiayu000/claude-skill-registry 163
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managing-auth-pipeline
Handles the authentication flow including Login, Signup, OAuth, and Password Recovery. Use when building auth pages or logic.
majiayu000/claude-skill-registry 163
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rename-slide
majiayu000/claude-skill-registry 163
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agentuity-cli-cloud-db-logs
Get query logs for a specific database. Requires authentication. Use for Agentuity cloud platform operations
majiayu000/claude-skill-registry 163
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coreml
Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models, KV-cache, multi-function models, MLTensor.
majiayu000/claude-skill-registry 163
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0200-dorgonman-kano-agent-backlog-s
majiayu000/claude-skill-registry 163
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统一网络请求封装 (Axios)
蓝鲸双协议兼容的 Axios 封装，自动处理旧版和新版 HTTP 协议
majiayu000/claude-skill-registry 163
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cfn-project-management
Backlog and changelog management for CFN projects
majiayu000/claude-skill-registry 163
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runpod-ops
Provision, manage, and terminate RunPod GPU instances for LLM training. Use when user says "spin up GPU", "create RunPod instance", "terminate pod", "check GPU status", "provision training server", or needs cloud GPU resources.
majiayu000/claude-skill-registry 163
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python-pytest-patterns
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
majiayu000/claude-skill-registry 163
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git-workflow-helper
Handle common git scenarios, conflicts, and hook failures
majiayu000/claude-skill-registry 163
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digitalocean-app-deployment
DigitalOcean App Platform deployment using doctl CLI for containerized applications, web services, static sites, and databases. Includes app spec generation, deployment orchestration, environment management, domain configuration, and health monitoring. Use when deploying to App Platform, managing app specs, configuring databases, or when user mentions App Platform, app spec, managed deployment, or PaaS deployment.
majiayu000/claude-skill-registry 163
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clojure-malli
Data validation with Malli schemas in Clojure. Use when working with: (0)
malli, (1) data validation or coercion, (2) defining schemas for maps,
collections, or domain models, (3) API request/response validation, (4) form
validation, (5) runtime type checking, or when the user mentions malli,
schemas, validation, data contracts, or data integrity.
majiayu000/claude-skill-registry 163
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sys-defining-goals
Transforms business strategy (canvas) or natural language into a single measurable goal. Classifies input, extracts intent, derives target using formulas, writes goal file. Does NOT decompose - use sys-decomposing-goals for hierarchy.
majiayu000/claude-skill-registry 163
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flutter-expert
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
majiayu000/claude-skill-registry 163
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chromatic-walk
3 parallel agents explore codebase improvements via GF(3) balanced prime geodesics
majiayu000/claude-skill-registry 163
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worktree
This skill should be used when the user asks to "create a worktree", "add a worktree", "set up a worktree", mentions "git worktree", or wants to work on multiple branches simultaneously.
majiayu000/claude-skill-registry 163
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Starmap Manager
Manage starmap data assets for Stapledons Voyage. Use when downloading star catalogs, galactic backgrounds, or processing astronomical data. (project)
majiayu000/claude-skill-registry 163
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gemini-rlm-min
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
majiayu000/claude-skill-registry 163
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kaizen
Continuous improvement methodology for SignalRoom. Use after incidents, when reviewing processes, or when looking for ways to prevent repeat problems. Implements structured retrospectives and improvement cycles.
majiayu000/claude-skill-registry 163
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automotive-expert
Expert-level automotive systems, connected vehicles, fleet management, telematics, ADAS, and automotive software
majiayu000/claude-skill-registry 163
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prd-done
Complete PRD implementation workflow - create branch, push changes, create PR, merge, and close issue
majiayu000/claude-skill-registry 163
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cpu-gpu-performance-athola-claude-night-market
majiayu000/claude-skill-registry 163