Skill UI

A specialized writing tool for generating Chinese critical essays, public commentaries, and concept essays based on the CrossFrame framework. It structures analysis, concept mapping, and evidence boundaries before drafting high-quality, long-form articles.

This skill provides a highly rigorous framework for analyzing complex public issues, platform governance, and institutional compliance. It is designed to structure evidence boundaries, assess procedural justice, and track public commitments by synthesizing source ledgers and multiple data points. It is intended as a specialized sub-routine triggered by the main CrossFrame suite, not for standalone use. Key focus areas include source verification, identifying weak signals, and mitigating AI compliance performance risks.

A specialized quality gate skill designed to review complex, multi-source outputs generated by the CrossFrame framework. It rigorously checks reasoning fidelity, evidence boundaries, source anchors, and structural continuity. Use this when advanced verification of logical rigor and source integrity is required, ensuring outputs meet strict internal protocols and avoid common structural failures.

This skill builds a deep psychological profile of target customers based on motivations, fears, identity, and trust barriers. It goes beyond demographics to understand emotional drivers and worldview. Use this before positioning, copywriting, or funnel design to create evidence-grounded profiles that downstream skills can consume. It applies frameworks like self-determination theory and identity mapping to infer the psychological structure underlying consumer behavior.

Expert in root cause analysis for errors, test failures, and unexpected behavior. Captures error messages, identifies reproduction steps, isolates failure locations, implements minimal fixes, and verifies solutions. Provides root cause explanations, evidence, code fixes, testing approaches, and prevention recommendations.

Diagnose failures from reproduction steps, traces, logs, and code; test hypotheses and verify a scoped fix without inventing production evidence. Suitable for evidence-driven debugging of reproducible or intermittent incidents.

Diagnose Android overheating, idle heat, thermal throttling, charging or radio heat, and abnormal battery drain using read-only ADB evidence and approval gates. Includes safety stops and controlled comparisons.

This skill performs security-focused code reviews for pull requests, commits, and diffs. It prioritizes high-risk areas like authentication, cryptography, and external calls. The process is evidence-based, utilizing git history and line numbers to back findings with attack scenarios. It adapts to codebase size and generates comprehensive markdown reports for audit trails.

Authorized digital forensics workflow: memory dumps with Volatility, disk and super-timelines, PCAP investigation with tshark, Windows artifact triage, and chain-of-custody evidence preservation.

Ditto mines user words from local coding-agent session logs to create private work, design, and writing profiles. It requires explicit user approval before mining begins and keeps all data local. This skill routes a compatible Ditto runtime to extract patterns from real coding history rather than questionnaires, ensuring privacy and evidence-backed personalization for AI agents.

Generates structured technical deliverables from completed security analysis: reverse-engineering reports, penetration-test reports, CTF write-ups, and signature-analysis docs with evidence-backed sections, Mermaid diagrams, and vendor-style templates.

Turns articles, books, PDFs, and web pages into evidence-first reading reports. Five modes (quick, deep, map, feynman, book) separate claims, evidence, data, assumptions, counterarguments, and limitations, with knowledge maps, confidence tags, and Feynman recall checks.