Results for “pre-read”

Generates premium, app-native mobile screen images and flow images for iOS, Android, and cross-platform products, with strong emphasis on readability, consistency, and art-directed design.

Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency, high-risk controls, general-purpose AI obligations, governance, and implementation milestones. Use when an organization needs to triage an AI use case, vendor, model, product, or portfolio for Regulation (EU) 2024/1689; prepare an AI inventory, gap register, implementation roadmap, or counsel briefing; assess provider, deployer, importer, distributor, product-manufacturer, authorised-representative, or GPAI-provider responsibilities; or re-check readiness after regulatory or product changes.

Guide PMs through the transition to Director with adaptive coaching across preparing, interviewing, landing, and recalibrating phases.

Drafts stipulated ESI protocols for federal e-discovery. Produces court-ready agreements governing preservation, collection, processing, review, and production of electronically stored information under FRCP Rules 26, 34, 37 and Sedona Principles. Trigger when formalizing ESI procedures between parties during the discovery phase.

Checks how well a Linear cycle is prepared. Reports per-person load in working days against available days, tickets with no estimate, tickets nobody is assigned to, oversized tickets that need splitting, work that did not finish last cycle, on-call rotation cost, and how groomed the backlog behind the cycle is. Invoke when the user says "cyclotic", "cyclotic prep", "cyclotic prep next", "cyclotic review", "cyclotic init", "cyclotic configure", "cyclotic for" a person's name, "cyclotic show cards", "cyclotic list tickets", "cyclotic explain" a person's name, or adds "-v" or "verbose" to any of those. Also invoke when the user asks whether a cycle or sprint is ready, who is over or under capacity, what carried over from last cycle, which tickets still need estimates, how the backlog looks going into planning, what is in the cycle and at what sizes, or how one person's load adds up. Read-only against Linear.

Loads Therapeutics Data Commons (TDC, PyTDC) AI-ready drug-discovery datasets and benchmarks — ADME, toxicity, drug-target interaction (DTI), scaffold splits, and molecular oracles for therapeutic ML and pharmacological prediction. Use when fetching a standardized benchmark dataset, applying scaffold or cold-split evaluation, or sourcing labeled molecules for ADMET, toxicity, or DTI modeling. Sources data, splits, and oracles only — defer molecular featurization (ECFP/fingerprints), model training, and transformers to a molecular-ML skill (e.g. deepchem). Part of the AlterLab Academic Skills suite.

Translates stakeholder feature requests into validated outcome statements before any work is committed. Use this skill — proactively and without waiting to be asked — whenever a stakeholder, exec, or customer arrives with a pre-packaged solution: "we need a dashboard", "add a Slack notification", "build an export feature", "create a report", "let's add a filter", "can we just add X". Also triggers for: "how do I push back on this request", "what outcome does this feature solve", "outcome vs output", "outcomes not features", "what are we really trying to achieve", "we're being a feature factory", "I need to reframe this as a problem", "the stakeholder is pushing a specific solution", "discovery before delivery", "assumption testing", "translate this request into an outcome", "ship outcomes not features". Runs the 'One Framework. Four Questions.' protocol (Liatti + Cagan + Torres): Behavior Change → Assumption Test → Cheapest Test → Success Metric. Produces an Outcome Brief with embedded AI prompts ready to pas