Skill UI

This skill is designed to rewrite a previous, lengthy response into a significantly more concise version. It ensures that the core meaning and all essential information are preserved, making it perfect for users who need a quick summary or a TLDR (Too Long; Didn't Read) version without losing critical details.

This skill utilizes the Taisly Agent Kit to manage the entire workflow for publishing approved short-form videos across major platforms, including TikTok, Instagram Reels, YouTube Shorts, X, and Facebook. It facilitates agent-assisted publishing by ensuring coordination of captions, metadata, and campaign details. A critical feature is the mandatory explicit confirmation gate, which prevents any state-changing publishing action without explicit user approval, prioritizing safety and compliance.

A powerful tool for conversational time tracking. Users simply report time spent in plain language (e.g., "read papers 2h, gym 1h"), and the skill parses this into structured rows (Activity, Minutes, Date) within your Notion database. It ensures data integrity by flagging any uncertain details as 'To-confirm' rows and batch-asking questions, preventing data fabrication. Use it for logging daily activities or performing time reviews.

This advanced trading journal captures the full context of a trade, recording not only the fill price and P&L, but also the initial thesis, the defined plan (stop/target), and the emotional state at the time of entry. It integrates with Notion to log and review trades, grading the quality of decisions and execution against the user's own plan, ensuring users learn from process, not just profit.

This tool manages the formal documentation of significant architectural decisions (ADRs). It automatically assigns sequential numbering, generates structured Markdown files (ADR-NNN), and registers the decision in the AgentDB graph. Use it when documenting technology choices, API designs, or data model changes to maintain a clear, traceable, and centralized history of system evolution.

This skill builds and maintains a persistent index and dependency graph for Architecture Decision Records (ADRs). It processes both v3-style and YAML plugin-style formats, storing ADR content in the `adr-patterns` namespace and relationships (like supersedes, amends, depends-on) in `adr-edges`. It is essential for synchronizing the graph when ADRs are updated, imported, or when bootstrapping ADR tracking on an existing codebase.

This tool reviews code changes (via diff) against accepted Architecture Decision Records (ADRs) to detect potential architectural drift, compliance violations, and adherence issues. It simulates a pre-merge check, ensuring that new code respects established architectural constraints and decisions made by the team. Ideal for CI/CD pipelines and mandatory code reviews.

This tool reads the persisted ADR graph to surface critical data integrity issues. It detects dangling references (links to non-existent ADRs), conflicting supersede cycles (A supersedes B and B supersedes A), and status mismatches. It is essential for CI/CD pipelines and post-indexing validation to ensure architectural decision records are consistent and reliable.

A lightweight CLI tool for systematically comparing various coding AI agents (such as Claude Code, Aider, and Codex) head-to-head. It measures crucial metrics—pass rate, API cost, execution time, and consistency—on reproducible tasks defined via YAML manifests. Use this to objectively select the best agent for your codebase or to validate model updates before production deployment.

This comprehensive guide outlines best practices for building reliable and robust AI agent harnesses. It covers optimizing action spaces, defining structured tools, managing observation formats, and implementing essential error recovery contracts. Use these principles to dramatically improve agent completion rates, manage context budgets effectively, and transition AI prototypes into stable, production-grade autonomous systems.

Adds x402 payment execution for AI agents with task budgets, spending controls, and non-custodial wallets. Supports Base via agentwallet-sdk and X Layer via OKX payment protocols for controlled API and service payments.

Generates a precise, evidence-based installation plan for a project's component catalog (ECC). Instead of loading a full, noisy bundle, this skill analyzes the repository's actual code structure, dependencies, and CI/CD evidence to classify skills, rules, and commands into 'DAILY' (essential) and 'LIBRARY' (referenceable) buckets. It ensures only necessary components are active, optimizing the development environment.