अपने एजेंट के लिए सही क्षमता खोजें।
Apply production-ready Flexport API patterns for TypeScript and Python. Use when building typed HTTP clients, implementing pagination, or establishing team coding standards for Flexport logistics integration. Trigger: "flexport SDK patterns", "flexport best practices", "flexport client wrapper".
Apply production-ready Framer SDK patterns for TypeScript and Python. Use when implementing Framer integrations, refactoring SDK usage, or establishing team coding standards for Framer. Trigger with phrases like "framer SDK patterns", "framer best practices", "framer code patterns", "idiomatic framer".
Apply production-ready Grammarly SDK patterns for TypeScript and Python. Use when implementing Grammarly integrations, refactoring SDK usage, or establishing team coding standards for Grammarly. Trigger with phrases like "grammarly SDK patterns", "grammarly best practices", "grammarly code patterns", "idiomatic grammarly".
Apply production-ready Hex SDK patterns for TypeScript and Python. Use when implementing Hex integrations, refactoring SDK usage, or establishing team coding standards for Hex. Trigger with phrases like "hex SDK patterns", "hex best practices", "hex code patterns", "idiomatic hex".
Apply production-ready Hootsuite SDK patterns for TypeScript and Python. Use when implementing Hootsuite integrations, refactoring SDK usage, or establishing team coding standards for Hootsuite. Trigger with phrases like "hootsuite SDK patterns", "hootsuite best practices", "hootsuite code patterns", "idiomatic hootsuite".
Apply production-ready @notionhq/client SDK patterns for TypeScript and Python. Use when implementing Notion integrations, building database queries with filters and sorts, handling pagination, constructing rich text blocks, or establishing team coding standards for Notion API usage. Trigger with "notion SDK patterns", "notion best practices", "notion code patterns", "idiomatic notion", "notion typescript", "notion python SDK".
Apply production-ready Palantir Foundry SDK patterns for Python and TypeScript. Use when implementing Foundry integrations, refactoring SDK usage, or establishing team coding standards for Foundry API calls. Trigger with phrases like "palantir SDK patterns", "foundry best practices", "palantir code patterns", "idiomatic foundry SDK".
Apply production-ready Salesforce jsforce patterns for TypeScript and Python. Use when implementing Salesforce integrations, refactoring SDK usage, or establishing team coding standards for Salesforce. Trigger with phrases like "salesforce SDK patterns", "jsforce best practices", "salesforce code patterns", "idiomatic salesforce", "salesforce typescript".
Apply production-ready Snowflake SDK patterns for snowflake-sdk and snowflake-connector-python. Use when implementing connection pooling, async execute wrappers, streaming results, or establishing team coding standards for Snowflake. Trigger with phrases like "snowflake SDK patterns", "snowflake best practices", "snowflake code patterns", "idiomatic snowflake", "snowflake connection pool".
Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit. Handles test generation from source code, coverage report parsing (LCOV/JSON/XML), quality scoring, and framework conversion for TypeScript, JavaScript, Python, and Java projects.
Comprehensive guide for porting UI components from R's bslib package to py-shiny. Use this skill when: (1) User asks to "port this feature" or "port a component" and mentions bslib or links to a bslib PR (e.g., github.com/rstudio/bslib/pull/...), (2) Porting a new component from bslib to py-shiny, (3) Adding a new input, output, or UI component that exists in bslib, (4) Implementing feature parity with bslib, (5) Working on bslib-related features or components. Covers the complete workflow including understanding source implementation, creating Python equivalents, vendoring assets (SCSS, CSS, JavaScript), creating tests, documentation, and all necessary project files.
Walk through the full Shiny for Python release train interactively, phase by phase. Use when the user says "release", "start a release", "py-shiny release", "release train", or wants to publish new versions of py-shiny and its ecosystem packages (py-htmltools, py-shinyswatch, py-shinywidgets, shinylive, py-shinylive, r-shinylive). Guides through version bumps, CI checks, tagging, PyPI publishing, conda-forge, Huggingface, site updates, and blog post publication.
Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gate
Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gate
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
