GitHub
spec-templates
Provides reusable markdown templates and outlines for OpenSpec proposals, design docs, ADRs, READMEs, and changelogs.
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ricardoroche AI Skills
GitHub ↗浏览 ricardoroche 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
28收录技能的仓库 Stars 合计
28仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
code-review-framework
Automatically applies when reviewing code. Ensures structured review checklist covering correctness, security, performance, maintainability, testing, and documentation.
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GitHub
docs-style
Automatically applies when drafting or revising documentation to enforce repository voice, clarity, and navigation patterns.
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GitHub
git-workflow-standards
Automatically applies when working with git. Ensures conventional commits, branch naming, PR templates, release workflow, and version control best practices.
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GitHub
performance-profiling
Automatically applies when profiling Python performance. Ensures proper use of profiling tools, async profiling, benchmarking, memory analysis, and optimization strategies.
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GitHub
async-await-checker
Automatically applies when writing Python functions that call async operations. Ensures proper async/await pattern usage (not asyncio.run) to prevent event loop errors.
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GitHub
pydantic-models
Automatically applies when creating data models for API responses and validation. Uses Pydantic BaseModel with validators, field definitions, and proper serialization.
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GitHub
structured-errors
Automatically applies when writing error handling in APIs and tools. Ensures errors are returned as structured JSON with error, request_id, and timestamp (not plain strings).
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GitHub
dependency-management
Automatically applies when managing Python dependencies. Ensures proper use of uv/Poetry, lock files, version constraints, conflict resolution, and dependency security.
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GitHub
query-optimization
Automatically applies when optimizing database queries. Ensures EXPLAIN analysis, proper indexing, N+1 prevention, query performance monitoring, and efficient SQL patterns.
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GitHub
model-selection
Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.
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GitHub
evaluation-metrics
Automatically applies when evaluating LLM performance. Ensures proper eval datasets, metrics computation, A/B testing, LLM-as-judge patterns, and experiment tracking.
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GitHub
monitoring-alerting
Automatically applies when implementing monitoring and alerting. Ensures proper metric instrumentation, alerts, SLO/SLI definition, dashboards, and observability patterns.
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GitHub
pii-redaction
Automatically applies when logging sensitive data. Ensures PII (phone numbers, emails, IDs, payment data) is redacted in all logs and outputs for compliance.
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GitHub
observability-logging
Automatically applies when adding logging and observability. Ensures structured logging, OpenTelemetry tracing, LLM-specific metrics (tokens, cost, latency), and proper log correlation.
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GitHub
pytest-patterns
Automatically applies when writing pytest tests. Ensures proper use of fixtures, parametrize, marks, mocking, async tests, and follows testing best practices.
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GitHub
openspec-authoring
Enforces OpenSpec authoring conventions including metadata blocks, section ordering, requirement/scenario structure, and validation steps.
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GitHub
dynaconf-config
Automatically applies when adding configuration settings. Ensures proper dynaconf pattern with @env, @int, @bool type casting in settings.toml and environment-specific overrides.
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GitHub
type-safety
Automatically applies when writing Python code to enforce comprehensive type hints. Ensures mypy compatibility, proper generic types, and type safety best practices.
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GitHub
ai-security
Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.
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GitHub
docstring-format
Automatically applies when writing function docstrings. Uses Google-style format with Args, Returns, Raises, Examples, and Security Note sections for proper documentation.
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GitHub
database-migrations
Automatically applies when working with database migrations. Ensures proper Alembic patterns, upgrade/downgrade scripts, data migrations, rollback safety, and migration testing.
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GitHub
fastapi-patterns
Automatically applies when creating FastAPI endpoints, routers, and API structures. Enforces best practices for endpoint definitions, dependency injection, error handling, and documentation.
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GitHub
llm-app-architecture
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses, token management, retry logic, and error handling.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。