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Found 778 Skills
Identifies API latency hotspots and bottlenecks with profiling tools, slow endpoint detection, suspected causes, and fix roadmap. Use for "latency profiling", "performance bottlenecks", "slow APIs", or "backend performance".
LoRA, full fine-tuning, DPO preference tuning, VLM training, function-calling tuning, reasoning tuning, and BYOM uploads on Together AI. Reach for it whenever the user wants to adapt a model on custom data rather than only run inference, evaluate outputs, or host an existing model.
Efficiently add Malli schemas to API endpoints in the Metabase codebase with proper patterns, validation timing, and error handling
This skill should be used when the user asks to "create api endpoint", "django ninja", "django api", "add endpoint", "rest api django", "ninja router", "api schemas", or mentions API development, endpoint organization, or Pydantic schemas in Django projects. Provides Django Ninja patterns with 1-endpoint-per-file organization.
Use when designing API endpoints. Use when using wrong HTTP methods. Use when POST is used for reads.
Generate project documentation from codebase analysis — ARCHITECTURE.md, API_ENDPOINTS.md, DATABASE_SCHEMA.md. Reads source code, schema files, routes, and config to produce accurate, structured docs. Use when starting a project, onboarding contributors, or when docs are missing or stale. Triggers: 'generate docs', 'document architecture', 'create api docs', 'document schema', 'project documentation', 'write architecture doc'.
Create, tune, and manage Elastic Security detection rules (SIEM and Endpoint). Use for false positives, exceptions, new coverage, noisy rules, or rule management via Kibana API.
Guide for integrating with the OpenJung (OEJTS) personality test API - a free, open-source alternative to MBTI. Use when building applications that need personality assessment, integrating MBTI-style tests, or working with the OpenJung API endpoints. Covers: (1) Fetching test questions, (2) Submitting answers and calculating results, (3) Understanding the scoring system, (4) Recording test sessions, (5) Retrieving aggregate statistics.
Manage Databricks Model Serving endpoints via CLI. Use when asked to create, configure, query, or manage model serving endpoints for LLM inference, custom models, or external models.
Registers external HTTP endpoints as iii functions using registerFunction(meta, HttpInvocationConfig). Use when adapting legacy APIs, third-party webhooks, or immutable services into triggerable iii functions, especially when prompts ask for endpoint maps like { path, id } iterated into registerFunction calls.
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".
Create API endpoints with Encore Go.