Skill UI

This skill allows users to mine their extensive coding history across various AI agents (Claude, Codex, Gemini, etc.) into a persistent, structured corpus. It surfaces reproducible workflows as evidence and interactively helps the user forge these past practices into reusable, installed skills across their agent ecosystem. It is designed to synthesize judgment from raw transcripts into actionable, portable skills.

This skill provides a systematic framework for diagnosing and proposing structural repairs for organizational failures. It moves beyond personal blame by analyzing complex dynamics such as team structures, project bottlenecks, authority chains, and governance gaps. It generates actionable memos and low-risk pilot plans, ensuring solutions address systemic root causes rather than individual shortcomings. Best used when CrossFrame Suite routes explicit organizational tasks.

Produces a comprehensive and structured change management plan for any organizational transformation or system rollout. This skill guides users through critical phases, including stakeholder analysis, impact assessment, communication strategy, training plan development, and resistance mitigation, ensuring a high probability of successful adoption.

This skill helps transform a product initiative into a comprehensive, structured influence plan. It maps key stakeholders, identifies their primary concerns and decision authority, and recommends the optimal conversation sequence. It generates tailored talking points and objection handling strategies to ensure alignment and secure buy-in from complex organizational groups.

A comprehensive framework designed to help content creators and marketers plan, structure, and write highly shareable, high-reach social media content. It teaches the psychology behind sharing, provides proven hook formulas (e.g., contrarian statements, specific numbers), and builds a repeatable system to maximize engagement and organic reach across platforms like LinkedIn, TikTok, and Instagram.

This skill enables the creation and maintenance of highly structured, configurable research wikis. It manages source provenance, compiling raw source materials into organized concept pages, index maps, and derived artifacts. Ideal for systematically documenting complex knowledge bases, such as research notes, product documentation, or domain studies, ensuring full traceability and consistency.

This skill details how to monitor Certificate Transparency (CT) logs using industry tools like crt.sh and Certstream. By analyzing publicly issued SSL/TLS certificates, users can proactively detect lookalike domains, unauthorized certificate issuance for owned assets, and early-stage phishing infrastructure targeting their organization. Ideal for SOC analysts and threat hunters.

This framework manages the ingestion, organization, synchronization, and search of knowledge across multiple storage layers, including local files, persistent memory, vector stores, and Git repositories. It provides a structured approach for ensuring knowledge durability, deduplication, and maintaining a 'single source of truth' across complex development and operational contexts.

Tree Ring Memory is a local-first, framework-agnostic layer for managing durable knowledge in AI agents. It provides structured methods for recalling past decisions, recording evidence, auditing project state, and deliberately forgetting information, ensuring the core project memory remains clean and actionable without relying on raw conversation transcripts.

This powerful tool monitors target keyword rankings across major search engines (e.g., Google) and tracks the presence and ownership of various SERP features (such as AI Overviews, Featured Snippets, and Local Packs). It establishes performance baselines and generates critical alerts when rankings drop significantly, or when the structure of search results changes, providing comprehensive visibility into organic search health.

This guide teaches authors how to structure scientific manuscripts by correctly partitioning core findings, decisive evidence, and the main narrative into the body text, while moving exhaustive datasets, full protocols, and secondary characterization into the Supporting Information (SI). It ensures the main paper is stand-alone and convincing.

A comprehensive guide for authors writing the Related Work section for high-impact journals (e.g., Acta Electronica Sinica). It teaches how to structure the review critically, moving beyond mere chronology to organize by technical path, defining scope, articulating clear technical deficiencies, and precisely positioning the paper's novelty against state-of-the-art methods.