GitHub
spec-templates
Provides reusable markdown templates and outlines for OpenSpec proposals, design docs, ADRs, READMEs, and changelogs.
ricardoroche AI Skills
GitHub ↗Explorez les skills IA publiés de ricardoroche et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
28Étoiles des dépôts des skills indexés
28Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
code-review-framework
Automatically applies when reviewing code. Ensures structured review checklist covering correctness, security, performance, maintainability, testing, and documentation.
GitHub
docs-style
Automatically applies when drafting or revising documentation to enforce repository voice, clarity, and navigation patterns.
GitHub
git-workflow-standards
Automatically applies when working with git. Ensures conventional commits, branch naming, PR templates, release workflow, and version control best practices.
GitHub
performance-profiling
Automatically applies when profiling Python performance. Ensures proper use of profiling tools, async profiling, benchmarking, memory analysis, and optimization strategies.
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.
GitHub
pydantic-models
Automatically applies when creating data models for API responses and validation. Uses Pydantic BaseModel with validators, field definitions, and proper serialization.
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).
GitHub
dependency-management
Automatically applies when managing Python dependencies. Ensures proper use of uv/Poetry, lock files, version constraints, conflict resolution, and dependency security.
GitHub
query-optimization
Automatically applies when optimizing database queries. Ensures EXPLAIN analysis, proper indexing, N+1 prevention, query performance monitoring, and efficient SQL patterns.
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.
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.
GitHub
monitoring-alerting
Automatically applies when implementing monitoring and alerting. Ensures proper metric instrumentation, alerts, SLO/SLI definition, dashboards, and observability patterns.
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.
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.
GitHub
pytest-patterns
Automatically applies when writing pytest tests. Ensures proper use of fixtures, parametrize, marks, mocking, async tests, and follows testing best practices.
GitHub
openspec-authoring
Enforces OpenSpec authoring conventions including metadata blocks, section ordering, requirement/scenario structure, and validation steps.
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.
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.
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.
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.
GitHub
database-migrations
Automatically applies when working with database migrations. Ensures proper Alembic patterns, upgrade/downgrade scripts, data migrations, rollback safety, and migration testing.
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.
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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.