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home/skills/tag/productivity
skill tag

productivity▌

6,493 indexed skills · max 10 per page

skills (6493)

tushare-finance

stanleychanh/tushare-finance-skill-for-claude-code · Productivity

2

Access 220+ Chinese financial market data APIs covering stocks, indices, funds, futures, and macroeconomic indicators. \n \n Supports A-shares, Hong Kong stocks, US stocks, funds, futures, bonds, and macro data (GDP, CPI) through Tushare Pro \n Requires Tushare Token configuration via environment variable; Python dependencies include tushare and pandas \n Data returned as pandas DataFrames with standardized date format (YYYYMMDD) and stock code format (ts_code) \n Organized interface documentati

symfony:quality-checks

makfly/superpowers-symfony · Productivity

2

symfony:quality-checks

sentiment-analysis-trading

omer-metin/skills-for-antigravity · Productivity

2

Role: Alternative Data & Sentiment Analyst

drizzle-orm

bobmatnyc/claude-mpm-skills · Productivity

2

Type-safe SQL ORM for TypeScript with zero runtime overhead and edge-runtime optimization. \n \n Supports PostgreSQL, MySQL, and SQLite with compile-time type inference from schema definitions; no code generation required \n Includes relational queries, transactions, filtering, joins, pagination, and aggregation with SQL-like syntax \n Drizzle Kit provides schema migrations, introspection, and a built-in database GUI (Drizzle Studio) \n Significantly smaller bundle size (~35KB vs ~230KB) and fas

gemini-image-gen

jezweb/claude-skills · Productivity

2

Generate contextual images for web projects using the Gemini API. Produces hero backgrounds, OG cards, placeholder photos, textures, and style-matched variants.

senior-security

davila7/claude-code-templates · Productivity

2

Comprehensive security toolkit for threat modeling, penetration testing, security auditing, and cryptography implementation. \n \n Three core automated scripts: Threat Modeler for scaffolding and best practices, Security Auditor for deep analysis and recommendations, and Pentest Automator for expert-level testing automation \n Includes reference documentation covering security architecture patterns, penetration testing workflows, and cryptography implementation with code examples and anti-patter

humanizer

blader/humanizer · Productivity

2

Detect and rewrite AI-generated writing patterns to sound natural and human. \n \n Identifies 24 distinct AI writing tells including inflated significance, promotional language, vague attributions, em dash overuse, copula avoidance, and excessive hedging \n Rewrites problematic sections while preserving meaning, tone, and core message \n Adds personality and voice by varying sentence rhythm, using specific details, acknowledging complexity, and injecting opinions where appropriate \n Includes an

meme-factory

softaworks/agent-toolkit · Productivity

2

Generate memes using 100+ templates from the memegen.link API with custom text and styling. \n \n Supports popular templates like Drake, Buzz Lightyear, Success, and Fine, each suited to specific messaging contexts (comparisons, celebrations, irony, uncertainty) \n Text encoding handles spaces, newlines, special characters, and quotes through simple character substitution ( _ for spaces, ~q for question marks, etc.) \n Includes dimension and layout options for platform-specific sizing (1200x630

scrapling

hyperpuncher/dotagents · Productivity

2

Scrapling is a powerful Python web scraping library with a comprehensive CLI for extracting data from websites directly from the terminal without writing code. The primary use case is the extract command group for quick data extraction.

ralph-loop

andrelandgraf/fullstackrecipes · Productivity

2

Automated agent-driven development loop that executes AI agents against user story acceptance criteria. \n \n Structures features as JSON-formatted user stories with testable acceptance criteria that agents can verify and track \n Runs AI agents in a continuous loop to implement features, check acceptance criteria, and log progress for subsequent agent iterations \n Requires prerequisite setup of AI coding agent configuration and user stories framework before running the Ralph agent loop \n Inte

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