Survey errors can interrupt response collection and reduce data quality after launch. This skill reviews WebAsk settings and returns prioritized findings before you share the link.

Open survey responses are difficult to compare as long lists of comments. This skill organizes WebAsk responses into themes with counts, percentages, and representative quotes.

Survey completion counts can hide missing or unusable contact details. This skill guides assistants through WebAsk reports to assess contact quality, compare channels, and prioritize improvements.

Launching a survey requires coordinated copy, channel links, and offline materials. This skill prepares WebAsk launch assets and checks response notifications before you distribute them.

Suspicious survey responses can distort results and weaken decisions. This skill guides checks of WebAsk responses and compares key metrics before recommending exclusions.

Missing survey deliveries can leave teams without leads, notifications, or spreadsheet updates. This skill guides status checks, service-specific diagnosis, and supported retries after repairs.

Survey scores can mislead when questionnaire changes, sample sizes, and seasonal differences are ignored. This skill guides WebAsk comparisons using version history, response distributions, and shared survey metrics.

Test submissions and duplicate responses can distort survey reports and complicate follow-up. This skill guides preview-based WebAsk cleanup with reversible hiding, response tags, and explicit approval before deletion.

Missed survey notifications can leave teams unaware of new responses. This skill guides assistants through WebAsk notification setup, recipient verification, and delivery troubleshooting.

Inactive surveys, missing notifications, and account limits can leave important responses unnoticed. This skill guides a read-only WebAsk review with prioritized findings and concrete recommendations.

Small survey samples can make random differences look like meaningful improvements. This skill guides comparisons using outcome counts, percentage-point differences, and checks for comparable groups.

Technical plans often drift from product intent or the current codebase. This skill researches repository structure and turns constraints into an actionable TECH.md implementation plan.

Turn ambiguous feature requests into structured product specifications that align design, engineering, and review. This skill defines user-visible behavior, scope, references, open questions, and handoff details in a consistent PRODUCT.md format.

Substantial feature work can become ambiguous when product intent, technical decisions, and implementation drift apart. This skill guides agents through practical product and technical specifications that stay aligned with shipped work.

Spec-triggered documentation created drafts for features that had not shipped. This retired skill explains the failure and directs users to release-gated alternatives.

Moving an existing agent workflow into Factory can create duplicate roles, broken paths, or conflicting handoffs. This skill guides a focused migration into an existing Factory repository and validates the resulting configuration.

CI failures can hide the first useful error among checks, logs, and repeated noise. This skill gathers relevant GitHub evidence and produces a prioritized plan for repair.

Complex media requests require the correct MediaKit domain and command contract. This skill routes requests and explains shared CLI setup, modes, inputs, and task polling.

Image workflows often need several tools for resizing, quality, editing, understanding, and privacy. This skill routes requests to the appropriate MediaKit image command and reference.

Media editing tasks often require many specialized commands and careful parameter choices. This skill routes requests to the right MediaKit operation and guides reliable media assembly.