Skill UI

This skill provides a critical audit layer governing the transition of AI-generated legal output from analysis to real-world consequence. It mandates a rigorous check of evidence sufficiency, institutional authority, procedural adherence, and visible uncertainty before any output can become a reliance, recommendation, or executed commitment. It is essential for high-stakes legal workflows, such as contract review, compliance findings, or drafting final advice.

A comprehensive framework for developing a sustainable LinkedIn presence. It guides users through three critical phases: defining a robust positioning brief (pillars and exclusions), establishing a realistic posting cadence priced against a 'bad week,' and determining newsletter viability with a long-term commitment. Essential for career changers, consultants, or thought leaders seeking structured growth.

This agent is dedicated to systematically exploring technical ideas, such as new features, refactoring, or bug fixes, *before* committing to code changes. It investigates the existing codebase, analyzes current architecture, compares multiple potential approaches (including pros, cons, and effort), and generates a structured 'exploration' report with a clear recommendation and identified risks. It ensures thorough planning and risk mitigation during the design phase.

Plan commits and PRs as reviewable work units instead of file-type chunks. Covers splitting rules, work-unit checklists, doc/test co-location, and chained PR strategies for healthy review load.

This skill helps maintainers verify reported bugs in the mcp-toolbox project. It involves analyzing issue reports, checking versions and configurations, and attempting local reproduction to determine if the bug is real, fixed, or misconfigured. The process requires citing specific evidence like file paths and commit SHAs to support verdicts such as confirmed, already-fixed, or client-side issues. It ensures efficient bug triage without unnecessary infrastructure setup.

This skill compares accessibility violations on a live page against a baseline, such as uncommitted changes or a specific branch. It reports new violations introduced, fixed violations, and pre-existing counts without modifying the source code. It is useful for developers to assess the impact of code changes on web accessibility standards like WCAG before committing.

Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome"). Lists open commitments, grades outcomes, and enforces provenance discipline so only reality or owner validation counts.

Orchestrate bounded coding tasks by delegating them to the Google Antigravity CLI (agy), then independently review the diff, re-run project gates, and commit the result yourself.

This skill enables an orchestrator agent to delegate bounded coding tasks to a separate Aider implementer. The orchestrator retains review and landing responsibility, writing the brief while Aider performs the typing. It disables Aider's default auto-commit behavior to ensure the diff remains reviewable before landing. Requires Aider CLI, Node 18+, and git. Supports local or hosted models with proper API configuration.

Generate concise, user-facing App Store release notes from git history since the last tag, triaging commits into clear benefit-focused bullets.

This skill reconstructs the detailed workflow behind a specific coding artifact (like a feature or PR). By analyzing local `ax` agent traces, it connects commits, sessions, skills, and tool calls into a concise, evidence-grounded narrative. It is used when needing to understand the step-by-step process and key decisions that led to a result.

Before You Build acts as a crucial checkpoint in the AI coding workflow. It prevents premature implementation by rigorously assessing product risk—analyzing market demand, existing user workflows, switching costs, and distribution channels. Instead of writing code, it guides the user to define core assumptions and propose the smallest, most effective validation test (e.g., landing page test, user interview) before committing resources.