Results for “e-e-a-t”

Design a refund, credit, and goodwill framework that separates owed redress from discretionary gestures, sets agent authority based on actual distributions, and enables consistent, auditable outcomes without escalating every request.

Creates a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting.

Exports a platform feature as a product constitution and data reference, including data model, API contracts, and acceptance criteria, for use in AI prototyping tools.

Create OR review a page-brief — the artifact BETWEEN a wireflow and the full PRD. It turns each unique page/screen of a product into documented requirements TIED TO JOBS: a self-contained board card per page (what the page is accountable for, the job-tagged checklist of what it must let you do, the journeys it appears in, what it connects to, and the acceptance criteria that say how you'd know it's right). It is the "PRD per page", not a sitemap — and it stops ABOVE the screen: no components, no layout, no hierarchy. Use whenever the user wants to "spec the pages", "document each screen", turn a wireflow + live design into per-page requirements, or asks "what does this page need to do / which jobs pass through it" — even if they never say "page-brief". Natural NEXT STEP after the wireflow skill. ALSO use it to REVIEW an existing page-brief / screen catalog. In the A-Team pipeline this is a definition-phase skill: output lands in docs/features/<slug>/briefs/pages/, job codes are the durable [[NN]] ids from doc

Requires node, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `aisa-tavily`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Search the web and extract public page content through AIsa's Tavily-backed API relay. Use when: the user needs open-web research, source discovery, current news lookup, or public URL content extraction. Supports concise result sets, deeper research, and news-focused queries.

Extracts the user's true intent through one-question-at-a-time interviews, surfacing hidden assumptions before any plan or code is written.

Identify what to measure, test, or track to de-risk a product or AI idea across internal and external risk dimensions.

Performs a gap analysis between two artifacts (a current state and a desired state) and produces a plain-language, stakeholder-readable report indexed by stable gap IDs. Use when the user wants to compare, evaluate, audit, or reconcile one artifact against another. Does not investigate runtime bugs — use investigate. Does not assess module-level architecture — use architectural-analysis. Does not research open-ended options with no second artifact to compare against — use research.

Configures and troubleshoots the Salesforce Path component, including key fields, guidance text, confetti, and page placement.

Lark/Feishu CLI router: match intent, then Read the Entry file under lark-*/ (e.g. lark-doc/lark-doc.md). Covers docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, note, event via lark-cli. Use when operating Feishu/Lark workspace resources, messaging, docs, calendars, tasks, OKRs, or Miaoda deploys.

Agente final do time Code New Project Agents do Reversa. Decompõe um PRD em componentes lógicos e gera specs SDD (Spec-Driven Development) por componente, com score automático de qualidade. Use quando o usuário digitar "/reversa-spec-sdd", "reversa-spec-sdd" ou quando invocado pelo orquestrador `/reversa-new`. Lê `_reversa_sdd/prd.md` e produz `_reversa_sdd/sdd/<componente>.md`. Ao concluir, faz handoff para `/reversa-forward`. Também pode ser usado avulso para avaliar uma spec existente (modo de avaliação) ou para gerar spec única a partir de qualquer entrada que o usuário forneça. Entrega: arquivos `.md` no formato SDD com score de qualidade (0 a 100) e análise de gaps.

Editor-chefe do Time Reversa Docs. Gera index.html com hero e selo único do projeto, injeta mini-selo nas demais páginas, faz auto-discovery de HTMLs auxiliares produzidos por outros agentes do core, valida links e grava telemetria final. Ative com /reversa-docs-publisher, reversa-docs-publisher, regenerar index, refazer selo, atualizar índice.

Use when designing, building, or debugging a Model Context Protocol (MCP) server in Node/TypeScript. Triggers: stdio JSON-RPC handshake, tool descriptions as discovery surface, lazy startup vs eager catalog loading, telemetry placement, schema design for tool inputs (zod), tool naming conventions for discoverability, error handling that does not leak stack traces, MCP client compatibility (Claude Desktop, Claude Code, Cursor), local resource fetching, secrets and env var handling, distributing as npm + claude mcp add. NOT for MCP client implementation, MCP HTTP transport (different surface), Anthropic Agent SDK building, or non-MCP plugin systems.

Reviews a product document (PRD, spec, design brief) BEFORE implementation to surface holes — undefined edge cases, missing states, policy gaps — by attacking what the document is SILENT about (things unwritten, and things written only for the happy path). Acts as a strict "sign-off manager," ruling Approve / Conditional / Reject and producing a polite, forwardable question list. Works for planners/PMs (self-review before sharing), engineers (blocking questions before coding), and designers (screen states with no mockup). Use whenever the user wants a spec/PRD/plan/brief checked for readiness or gaps, or says "review this spec", "find holes in this PRD", "poke holes in this", "is this plan good to build?", "can I start implementing this?", "what states/edge cases am I missing?", "what should I ask the PM before coding?", "run devil", or pastes/links a planning document and asks whether it's ready to act on. Do NOT use it to: write or draft a new spec, summarize or translate a document, estimate/break down tic

Reads BA and TechLead artifacts to produce a sprint plan, task breakdown, and story point estimates, creating one tracked todo per sprint task for live pipeline tracking.

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Move issues and external pull requests through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.

Builds a Power × Interest stakeholder map and generates a communication plan per quadrant. Use when managing a complex launch, aligning cross-functional teams, or preparing stakeholder engagement strategy. Triggers on: stakeholder management, stakeholder map, stakeholder alignment, communication plan, power interest grid, cross-functional alignment, executive alignment, managing up.

Guide product managers through breaking down epics into user stories using the Humanizing Work methodology with 9 splitting patterns.

Compute fully-loaded cost-to-serve per channel, channel ROI under cash/LTV/marginal lenses, and optimal channel mix subject to strategic constraints for quarterly channel reviews.

Use when building, refactoring, or documenting Graft apps and proxies, including when asked to create a tool server, API server, dual-protocol server, or MCP-HTTP bridge. Graft's core thesis: define tools once and serve them as both HTTP REST endpoints and MCP tools from the same server, with discovery, docs, and OpenAPI generated automatically. Covers concrete actions such as defining tools and handlers, configuring authentication middleware, setting up HTTP and stdio transports, generating OpenAPI documentation, wrapping existing APIs via proxy mode, and wiring up the full CLI workflow.

Define company values and culture for a minimalist business, drawing on principles from The Minimalist Entrepreneur.

Provides a structured reasoning protocol for diagnosing complex relationships, organizations, institutions, public disputes, or long-term evolution using the CrossFrame framework, with explicit invocation required.

Record and analyze post-trade outcomes for trading signals, tracking false positives, missed opportunities, and regime mismatches to generate feedback for signal aggregation and skill improvement.

Produces an attorney-ready memo from a corpus of legal documents supplied by the user. Use when a user shows up with a folder, zip, or vault of case documents and asks for a case summary, case evaluation, litigation package, intake memo, matter overview, or "can you summarize this case for me." The skill ingests the corpus into a searchable index, OCRs anything non-searchable, inventories and diagnoses the practice area, loads the appropriate practice-area playbook module(s) (PI/tort, commercial litigation, IP infringement, or user-authored extensions), iteratively searches the corpus across eight core dimensions plus any module-specific dimensions, defers specialized document clusters (depositions, medical records, discovery, liens) to dedicated sibling skills, and synthesizes a cited memo.

Provides evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflows for sales snapshots, pricing comparisons, duplicate-charge diagnosis, or code-backed billing reality.

Guide product managers through a complete discovery cycle from problem hypothesis to validated solution using problem framing, customer interviews, synthesis, and experimentation.

Turns a raw idea into four linked planning files through a five-phase pipeline: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with kill criteria.

Create a six-frame storyboard that shows a user's journey from problem to solution, using a classic narrative arc to build empathy and align stakeholders.

Expert product strategy advisor for Senior PMs. Use this skill — proactively and without waiting to be asked — whenever defining a product vision, setting quarterly OKRs, building a roadmap, choosing between competing bets, entering a new product area, or when stakeholders disagree on direction. Also triggers for: "what should we prioritize", "we need a north star", "how do we choose between X and Y", "roadmap conflict", "what are our bets this quarter", "strategy alignment", "choosing what NOT to build", "three bets with trade-offs", "stakeholder misalignment on direction", "product direction for next quarter", "OKR planning". Produces a decision-focused strategy doc: North Star metric, Opportunity Tree, three bets with explicit trade-offs (including do nothing), and a recommended bet with its key assumption.

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

Advocate for design quality, scope, and time with cross-functional partners and leadership using evidence and shared goals.

Guides collaborative dialogue to turn ideas into designs and specs, exploring intent and requirements before any implementation.

Synthesizes recent conversations about any topic across Reddit, Hacker News, the open web, and optionally X/Twitter into a single briefing with citations, engagement metrics, and cross-platform pattern analysis.

Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats for market sizing.

Creates concise early UX discovery artifacts for PRD development, customer development, new product ideas, feature bets, and redesigns. Use when the user asks to hypothesize an ideal customer profile, generate proto-personas, write customer problem or jobs-to-be-done hypotheses, create journey maps, shape value propositions, or turn product context into design-sprint-style customer insight artifacts for product and engineering teams.