com um clique
bagofwords
bagofwords contém 8 skills coletadas de bagofwords1, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Add a new data source / connection type (e.g. a SQL Server-like database) end to end — client with get_schemas/execute_query, config + credentials schemas, registry entry, icon, tests — plus the verification steps. Also covers adding or updating an MCP connector (a preset, not a new type). Use when adding or significantly extending a connector.
Add a new LLM model to the preset catalog, or a whole new LLM provider — with the mandatory pre-flight verification of model id, pricing, and context window against the provider's official docs. Use when asked to add/update LLM models, providers, or pricing.
Build a runnable reproduce→fix→verify loop for a bug or feature in a fresh sandbox, and record it as a feedback-loop doc. Use when investigating a reported bug, validating a root cause, or proving a fix works — before and after the change.
The locale/i18n architecture of bagofwords — catalogs, resolution order, RTL, backend contracts — and the procedures for adding strings, adding a locale, or translating UI. Use when adding/changing user-facing strings, working on RTL, emails, localized errors, or anything locale-related.
Capture mandatory before/after screenshots (and videos/GIFs for flows) for any change touching UI/UX, and attach them to the PR. Use whenever a change touches frontend/pages, components, layouts, or assets.
Update the product docs at docs.bagofwords.com (Mintlify) with text and fresh screenshots after a user-facing change ships. Use when a merged change alters user-visible behavior, adds a feature, or when asked to update/refresh documentation.
Run a live QA pass over the app — first map all user-facing functionality, then boot the full stack and manually exercise flows with Playwright, recording pass/fail evidence and filing a QA report. Use for release QA, post-merge smoke passes, or "QA the app / this area" requests.
Query, visualize, and analyze data in a Bag of Words (BOW) workspace via the bagofwords MCP tools. Use for creating reports, running tracked queries, and building dashboards.