Rechercher

PythonReactSEOPDF

1plco AI Skills

GitHub ↗

Explorez les skills IA publiés de 1plco et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

7

Étoiles des dépôts des skills indexés

7

Forks du dépôt

0

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

7 skills

Explorer

GitHub

mapbox

1plco

Geospatial services for geocoding, directions, distance matrices, and route optimization using the Mapbox API. Use when tasks require: (1) Converting addresses to coordinates or vice versa, (2) Calculating driv...

GitHub

claude

1plco

AI-powered natural language processing, text generation, JSON extraction from unstructured data, and image analysis using the Anthropic Claude API. Use when tasks require: (1) Writing or processing natural lang...

GitHub

browser-use

1plco

AI-powered browser automation for web scraping, form filling, data extraction, research, and any task requiring browser interaction. Executes natural language instructions as browser actions using vision and LL...

GitHub

phonic

1plco

AI telephone agent for outbound calls including sales, appointments, surveys, reminders, and data collection. Initiates calls with inline agent configuration (system_prompt, voice), monitors completion via poll...

GitHub

fulcrum-sdk

1plco

Dispatch milestones to user-facing timeline. Use when completing significant steps: starting major phases, calling external APIs, creating external references, completing database operations, or validating Pyda...

GitHub

sql

1plco

Database querying and analysis using SQLAlchemy 2.0+ with support for PostgreSQL, MySQL, SQLite, and SQL Server. Use when tasks require: (1) Querying databases via SQL, (2) Reading data into DataFrames for anal...

GitHub

internal-db

1plco

Persist data across ticket executions using MotherDuck/DuckDB. Use when tasks require: (1) Storing workflow state that persists between tickets, (2) Caching expensive computations or API results, (3) Maintainin...

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.