Results for “e-e-a-t”

Decompõe o roadmap em ações atômicas com IDs sequenciais, dependências e marcador de paralelismo. Use quando o usuário digitar "/reversa-to-do", "reversa-to-do", "decompor em tarefas" ou pedir para virar o roadmap em uma lista executável. Quarto skill do ciclo forward, depois de `/reversa-plan`.

Review any business decision, plan, or strategy through the minimalist entrepreneur lens, providing a gut-check and simplification advice.

Runs focused experiments to validate feasibility of an idea, saving artifacts to .planning/spikes/ and supporting both idea and frontier modes.

Execute phased plans with multiple independent tasks per phase by fanning out one agent per task, reconciling outcomes per wave, gating between phases with verify commands, and emitting a phase × outcome report. Triggers include "execute this plan", "work through these phases", "swarm over this backlog", "parallelize this plan".

Extract paginated video lists for a TikTok hashtag, including author profiles, engagement stats, music, and video metadata.

Create, transition, query, and link WorkItems — tasks, stories, bugs, epics. Use when the user asks to add, update, query, or link work items — backlog items, tasks, bugs, user stories, or epics.

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.

Map growth strategies across market penetration, market development, product development, and diversification to evaluate expansion opportunities.

Onboard enterprise customers from contract to value realization using a four-phase framework that prevents churn and the Week 4 ghosting pattern.

Embody the voice and decision-making framework of Jeff Bezos to analyze business problems, craft customer-obsessed strategies, and apply long-term thinking.

Build a minimum viable product using the minimalist entrepreneur approach: manual first, then processized, then productized.

Discovers and applies curated prompts from the prompts.chat collection to optimize AI interactions, prompt engineering, and workflow integration.

Search academic papers and scholarly articles via AIsa Scholar endpoint. Supports year range filtering for targeted research. Use when: the user needs web search, research, source discovery, or content extraction.

Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists.

Generates a concise, executive-ready performance summary covering key metrics, trends, and what's driving movement, using Adobe Analytics data.

Model software around the business domain using bounded contexts, aggregates, and ubiquitous language, with scoring and diagnostic tools for evaluating domain model quality.

Build and maintain one coherent company story across all audiences — employees, investors, customers, candidates, and partners. Detects narrative contradictions and ensures the same truth is framed for each audience's needs.

Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots to keep product decisions grounded in evidence.

Esboça a abordagem técnica como delta sobre o legado, gerando roadmap, investigation, data-delta, onboarding e interfaces da feature ativa. Use quando o usuário digitar "/reversa-plan", "reversa-plan", "esboçar plano técnico" ou pedir para virar requirements em desenho de solução. Terceiro skill do ciclo forward, depois de `/reversa-requirements` e (opcionalmente) `/reversa-clarify`.

Document end-to-end business processes in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time.

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.

Build structured communication templates for malware incidents including stakeholder notifications, executive briefings, technical advisories, and regulatory disclosures with severity-based escalation procedures.

Build evidence and narratives that connect design decisions to measurable user, product, and business outcomes.

Discover, profile, and evaluate MCP servers for a given domain or purpose. Use when searching for MCP servers to add to a project, comparing server capabilities, enriching the local registry cache, or evaluating whether a server suite covers a stated need. Covers cache-first discovery, remote registry scanning, deep server profiling, and gap analysis.

Discover and inventory undocumented API endpoints by comparing live traffic against OpenAPI specs, scanning code repositories, and analyzing cloud configurations.

Prüft Fristen, Form, Zuständigkeit, Rechtsweg und Sofortmaßnahmen bei Energie-Transaktionen und Due Diligence; liefert eine Fristen- und Risikoampel mit Sofortschritten.

Simulates Elon Musk with psychological depth and high-fidelity communication, applying first principles thinking, physics-based reasoning, characteristic humor, and authentic controversial opinions.

Guides users through downloading weather/climate data via Earth2Studio data source APIs, verifying variable support via the lexicon system, and generating a working Python fetch script.

Map user Jobs-to-Be-Done with functional, emotional, and social dimensions plus outcome expectations to reframe product decisions around user motivations.

Audits game user experience across HUD clarity, menu navigation, tutorial effectiveness, control responsiveness, camera systems, feedback loops, loading screens, and settings completeness. Detects game engine (Unity UGUI/UI Toolkit, Unreal UMG, Godot Control, web-based), maps all UI screens and input contexts.

Prioritize stakeholders using two complementary grids to set engagement strategy and surface whose voice needs elevating.

Mines a codebase for evidence-backed improvement opportunities, forcing two escalation gates to surface breakthrough ideas, and outputs a ranked portfolio with a plan seed without implementing.

Review an open GitHub issue for a selected repository against the current codebase, then either close it as already implemented with an evidence comment, label it needs clarification with an explanatory comment, or create a fleshed-out Jira story in the requested board/project when the remaining work is clear. Use when triaging GitHub issues into Jira backlog work or closing stale implemented GitHub issues.

Discover and install complementary skills from the inference.sh registry to expand AI agent capabilities.

Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.

Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring. Use when a user needs help with project plans, project status reports, risk assessments, resource allocation, project roadmaps, milestone tracking, team capacity planning, portfolio health reviews, program management, or executive-level project reporting — especially for enterprise-scale initiatives with multiple workstreams, complex dependencies, or multi-million dollar budgets.