Skills

Drafts accurate, well-supported answers to vendor security and compliance questionnaires (SIG, CAIQ, custom due-diligence forms). Maps each question to existing policies and control evidence, writes clear responses, and flags any question where the honest answer is unknown or a control is missing rather than overstating posture.

Writes clear, calm customer-facing incident communications during an active outage: status-page updates, in-app banners, and stakeholder emails. Adapts the message to the incident phase (investigating, identified, monitoring, resolved), states impact and scope honestly without leaking sensitive detail, and keeps a consistent tone across updates.

Generates JSON Schema (Draft 7 through 2020-12) from example payloads, TypeScript types, or a natural-language description of a data shape. Infers types, required fields, formats, and constraints, and can add descriptions and enums to produce a validation-ready schema.

Guides a git bisect session to isolate the commit that introduced a regression. Helps define a reliable good/bad test, drives the bisect steps, interprets results, and can suggest an automated test script for `git bisect run`, then explains the offending change once the culprit commit is found.

Synthesizes user research, interviews, and survey data into clear, evidence-based user personas. Clusters behaviors and needs, names each persona, and captures goals, pain points, motivations, and representative scenarios, keeping the output grounded in the source data rather than invented detail.

Designs reliable AI-assisted business and engineering automations with triggers, approvals, idempotency, observability, exception handling, and human handoff points.

Designs reliable JSON and typed outputs for LLM features, including schemas, validation, recovery paths, versioning, examples, and contracts for downstream consumers.

Defines versioned data contracts between producers and consumers, with ownership, schemas, quality expectations, compatibility rules, and operational change management.

Turns merged work, pull requests, issues, and user-visible behavior changes into accurate, audience-specific release notes with breaking-change and upgrade guidance.

Synthesizes interviews, support tickets, reviews, and survey responses into evidence-based themes, opportunities, representative quotes, confidence levels, and product actions.

Produces clear, reviewable architecture decision records that capture context, alternatives, trade-offs, consequences, rollout steps, and reversal criteria.

Designs trustworthy product analytics events, properties, identity rules, validation, privacy boundaries, dashboards, and governance for product and growth decisions.

Converts a loosely defined opportunity into testable product requirements, user journeys, scope boundaries, assumptions, risks, success metrics, and discovery questions.

Produces blameless, actionable incident postmortems with a precise timeline, contributing factors, impact, decisions, corrective actions, owners, and measurable follow-through.

Ürün arayüzlerini semantik yapı, klavye kullanımı, odak davranışı, renk kontrastı, ekran okuyucular ve formlar dahil olmak üzere pratik erişilebilirlik gereksinimlerine göre denetler.

Builds regression suites for prompts and agent instructions so teams can detect quality, safety, format, and tool-selection regressions before deploying changes.

Bilinmeyen bir repository'yi mimari, kurallar, yerel kurulum, önemli çalışma yolları ve güvenli ilk değişiklikler hakkında kısa bir mühendislik rehberine dönüştürür.

Turns analysis results into a clear narrative for a specific audience. Selects the key message, orders findings for impact, recommends the right chart for each point, writes plain-language takeaways, and frames actionable recommendations. Helps analysts move from raw numbers to a memo or slide narrative executives can act on.

Helps turn a game concept into a structured game design document. Captures the core loop, mechanics, progression, economy, controls, level structure, art and audio direction, and target platform and audience. Keeps scope realistic, flags dependencies and risks, and produces a living GDD that a small team can build from.

Produces operational runbooks for services and common incidents. Documents prerequisites, step-by-step diagnosis and remediation, exact commands, verification checks, rollback steps, and escalation paths. Structures each runbook so an on-call engineer can follow it under pressure, and keeps destructive steps clearly flagged with safeguards.

Designs and implements rate limiting for APIs and services. Recommends an algorithm (token bucket, leaky bucket, fixed or sliding window) for the use case, defines per-key and per-endpoint limits, plans distributed enforcement with Redis, and specifies response headers and 429 handling with retry-after. Produces a design plus reference implementation.