Skill UI

This guide provides a rigorous methodology for achieving scientific reproducibility in technical and user experience papers (e.g., UIST). It details three essential 'ledgers': the Build Ledger (pinning software, hardware, and environment dependencies), the Measurement Ledger (defining precise protocols for metrics like latency and accuracy), and the Study Ledger (documenting human evaluation tasks). Following these protocols ensures that external researchers can accurately rebuild the artifact and validate reported results.

A comprehensive guide for strengthening the reproducibility of academic papers, especially those involving systems claims (e.g., power usage, latency). It details maintaining a 'recipe ledger' for all reported metrics, ensuring constraint-aware measurement of environmental variables, and managing data/artifact consistency across the entire two-round revision process.

Evidence-first deep reading skill. Extracts claims, evidence, assumptions, and counterarguments from books, articles, PDFs, and document sets; builds argument trees, evidence ledgers, and knowledge maps; supports Feynman-based learning and recall. Ideal for in-depth comprehension and durable learning.

A comprehensive tool guiding the entire professional content lifecycle for LinkedIn. It helps users select the optimal post format, drafts engaging content by focusing on powerful hooks, and performs deep linting checks (mechanics, integrity, accessibility). It also features sophisticated repurposing capabilities, splitting long sources and managing a reuse ledger to ensure content consistency and high quality.

Simulates real beta readers who meet a draft cold and under time pressure: a skim gate, a no-lookahead timed read with quit points, next-day recall, and a trust ledger of the implied author. Reports where the reading broke so authors decide what to fix before publishing.

Turn a plain "implement X for me" request into a working artifact: build a running end-to-end spine first, then add one feature per rung, recording every under-determined decision in an assumption ledger before its dependent code, with cross-model review to catch the rest.

Capture and retrieve durable artifact records with provenance and retention. Supports profiles like stdout, report, and receipt using immutable evidence. Use `yy ledger` CLI for secure evidence management without publishing or deploying.

Atlas Ledger is a critical companion designed to provide lasting 'memory' to project contracts. It automatically processes detected deviations or 'drift' (e.g., from audits or reviews) and distills these instances into formal, actionable contract clauses (WHEN/DON'T/INSTEAD). These clauses are written to a persistent project memory file, Atlas.md. This mechanism ensures that lessons learned from failure are systematically captured, allowing future contract cycles to incorporate these rules, thereby strengthening overall project governance and reliability.

This skill enables independent auditing of AI agent, gateway, or automation workflow runs. It reconstructs events from traces, checkpoints, and tool calls to verify success claims without trusting self-reports. Users establish contracts, build claim ledgers, normalize evidence, rank witnesses, and assign verdicts like proven or contradicted. It ensures integrity in multi-step automation and separates autonomous success from human-assisted outcomes.

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 security-testing methodology for hunting fintech-specific GraphQL flaws such as ledger desync, decimal rounding abuse, idempotency replay, source-account IDOR and KYC field authorization gaps. For authorized assessments only.

Manage tasks with the YYLO Ledger CLI: create, list, search, get, mark, update, archive and merge tasks with dependency tracking, ready ordering, cold archive packs and opt-in cross-project routing.