Skill UI

Continuous file-based planning system for multi-step AI agents. Maintains task_plan.md, findings.md, and progress.md files on disk, injecting project-specific planning context into lifecycle hooks. Auto-restore reads project planning files only. Can explicitly check local agent session metadata with session-catchup.py --metadata, or issue limited nonce-framed excerpts with --replay. Optional controlled mode requests continuation only when supported by host, never executes declared Markdown commands. Does not include a data upload path over the network. Used for research or work requiring 5+...

Integrate Benchling's Python SDK and REST v2 API to automate life-science lab data: registry entities (DNA, RNA, proteins), inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries.

High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Supports overlap, nearest, merge, coverage, complement and subtract for BED/VCF/BAM/GFF files, with streaming and cloud-native access as a faster bioframe alternative.

Read, validate, and safely export protocols.io protocol data using official REST endpoints, or create non-executing mutation plans. The bundled Python client makes bounded authenticated GET requests only when --execute is supplied.

Query the U.S. Treasury Fiscal Data REST API for federal financial data without an API key. Access national debt, Treasury statements, auctions, interest rates, exchange rates, savings bonds, and government revenue/spending statistics.

A comprehensive reference architecture detailing how to automate Apple Notes on macOS. Since there is no public REST API, this system relies on a layered approach using Node.js, JXA scripting via osascript, local SQLite caching, and FSEvents polling. It outlines best practices for creating robust, local automation solutions for note management and data export.

This guide provides a set of production-grade TypeScript patterns for robust interaction with the Attio REST API. It covers essential best practices including typed clients, automatic retry mechanisms with exponential backoff, cursor-based pagination iterators, and multi-tenant factory implementation, ensuring reliable and scalable API integration. Use these patterns to handle common API challenges like rate limiting and large datasets efficiently.

This guide provides comprehensive steps to install and configure authentication for the BambooHR REST API. It utilizes HTTP Basic Authentication, requiring users to set up environment variables with their API key and company domain. The content includes setup instructions for Node.js and Python, along with full code examples for verifying a successful connection and retrieving employee directory data.

A comprehensive diagnostic tool designed to collect all necessary evidence for troubleshooting persistent Figma REST API issues or preparing detailed support tickets. It automatically tests connectivity, checks rate limit status, captures environment information, and redacts sensitive data, providing a clean, actionable archive for developers and QA teams.

This comprehensive guide details the ten most common mistakes and anti-patterns encountered when integrating with the Figma REST and Plugin APIs. It covers critical topics such as preventing oversized data fetches, managing rate limits, securing tokens, handling color format conversions, and optimizing data sync using webhooks instead of polling. Essential for code reviews and onboarding. Use when reviewing Figma code, onboarding new developers, or auditing an existing Figma integration.

A comprehensive guide to implementing Role-Based Access Control (RBAC) in ClickHouse. Learn how to manage user authentication, define hierarchical roles, enforce row-level security (RLS) for tenant isolation, restrict data access via column-level grants, and manage resource consumption using quotas and settings profiles. Essential for multi-tenant SaaS and secure data analytics platforms.

This comprehensive guide outlines advanced strategies for optimizing interactions with the Attio REST API. Techniques covered include implementing LRU caching for schemas, using batch queries to avoid N+1 problems, efficient pagination (including streaming), and optimizing connection pooling via keep-alive. It helps developers maximize API throughput, minimize latency, and reliably process large volumes of data.