Claude Skills Online Marketplace

Works out where respondents abandon a WebAsk survey and explains why. Use when someone complains about few responses, low conversion, many incomplete submissions, or asks why the...

Explains what a WebAsk survey showed: pulls the summary, slices and exports and turns them into conclusions. Use when someone asks about survey results, wants to compare periods,...

Prepares WebAsk survey results for handing to someone else — a public link to the report, summary or responses, a PDF or Word file, or an AI report with conclusions. Use when...

Estimates how many responses a WebAsk survey needs and whether conclusions can already be drawn. Use when someone asks whether there is enough data, how much longer to wait, or...

Shows the history of a WebAsk survey over time: when it was published, when responses came in, where the spikes and drops are. Use when someone asks why responses stopped, what...

Analyses the quality of leads collected by a WebAsk survey: how many reached the contact question, which questions scare people off, and how leads differ by channel. Use when a...

Analyses free-text answers from a WebAsk survey: finds themes, counts frequency and picks representative quotes. Use when someone asks to read the comments, understand what...

Compares WebAsk survey results against each other: one questionnaire across periods, or different surveys in the account. Use when someone asks whether things improved, how...

Checks the quality of collected WebAsk responses: too-fast submissions, flat-lined answers, duplicates and junk text. Use when someone doubts the data, suspects manipulation, or...

Reviews the state of a WebAsk account in one report: abandoned surveys, missing notifications, approaching limits and storage. Use when someone asks to tidy things up, understand...

Puts collected WebAsk responses in order: removes test and junk submissions, adds notes and tags, restores accidentally deleted ones. Use when someone asks to clean up responses,...

Compares A/B variants of a WebAsk survey and checks whether the difference is real or within noise. Use when someone asks which variant performs better or is about to make a...

Data platform CLI orchestration driven by dataforge.manifest.yaml. Authenticate to zones, discover and trigger jobs (schema changes, pipeline loads, ad-hoc scripts), execute SQL,...

Cold-start manifest discovery engine. Reads a minimal seed dataforge.manifest.yaml (Tier 1 + optional Tier 2 overrides), auto-discovers all remaining configuration via the...

Mandatory standards reference for any manifest-driven metric store. MUST be read before ANY modification to pipeline code, SQL, schema, or job configuration files. Enforces naming...

Manifest-driven data pipeline toolkit: four cooperating skills that discover a warehouse, enforce pipeline standards, run every query through one platform interface, and build...

Universal 7-phase metric pipeline builder. Autonomously discovers upstream data, reasons about metric requirements as a data analyst, engineers pipeline code as a data engineer,...

Scrape Reddit posts, comments, subreddits and users with the harshmaur/reddit-scraper Apify Actor. No Reddit API key. Keyword search, date windows, full threads.

Compare MLB players using Crawlora Statcast leaderboards and player statistics with board-specific discovery, season, role, qualification, metric units, and sample controls. Use...

Compare football players using Crawlora FotMob profiles, player-specific season statistics, and bounded match samples. Use for role-aware form comparisons, statistical scouting...