crawlberg
Crawl, scrape, and convert websites to Markdown using the local crawlberg CLI and its MCP server. Use when the user wants to fetch a page, follow links across…
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Updated 11-05 00:16
17,418 results
Crawl, scrape, and convert websites to Markdown using the local crawlberg CLI and its MCP server. Use when the user wants to fetch a page, follow links across…
Celebrity Filter — Use distilled character skills as "analytical lenses", linking them with the data analysis engine to produce analysis reports with the character's distinctive way of thinking. Input: analysis task (data + goal) + distilled skill (character perspective), Output: an analysis report refracted through that character's thinking framework. Trigger words: analyze from XX's perspective / look at it from XX's angle / how would XX see it / analyze in Munger's way / celebrity filter /…
Data Lead agent coordinating Data Engineers, Data Governance specialists, and Database Admins. Use this skill for building ETL/ELT pipelines, lakehouse…
Deterministic library-first regression — fit a CSV against the calculator-primitive witness library (unary, affine `a·w(x)+b` with constant snapping, depth-2…
Migrate Databricks Workflows (Lakeflow Jobs) to idiomatic ZenML pipelines. Handles concept mapping (Job->pipeline, Task->step, task values->artifact), notebook…
Use when Codex needs to inspect, search, compare, or troubleshoot AI model metadata with the published modelinfo CLI. Trigger for tasks such as looking up a…
Used when outputting data analysis reports. Suitable for business analysis reports, weekly reports, special analyses, and decision support. Integrates insights + recommendations + action items.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for cloud metadata services, instance identity, workload identity, link-local…
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for SSRF reachability, internal route probing, metadata-service access, credential…
Use when implementing persistence / ORM / Repository pattern / N+1 prevention / transaction management. Covers all mainstream ORMs (JPA/Hibernate / TypeORM / Prisma / Django ORM / SQLAlchemy / GORM / ActiveRecord / EF Core).
Used for data visualization and dashboard design. Suitable for chart selection, dashboard layout, and BI tool usage.
Used when designing a metric system. Applies to North Star Metrics, the AARRR pirate model, funnel metrics, and the GSM (Goals-Signals-Metrics) framework. Helps teams start from business goals and build a metric system that is quantifiable, trackable, and actionable.
Used when reviewing SQL, analyzing slow queries, and proposing query optimization suggestions. Suitable for execution plan analysis, N+1, pagination and sorting, aggregation and filtering, and query rewriting. Combines EXPLAIN interpretation, ESR reverse inference, and ORM trap identification.
Used for SQL data analysis. Suitable for business metric queries, funnel analysis, retention calculation, window functions, and CTE recursion.
Use when the user wants to create, list, describe, or drop databases in Milvus.
Use when the user wants to trigger, describe, or list refresh jobs for an external collection (a collection backed by an external data source such as Vector…
Use when the user wants to import bulk data into a Milvus collection via Zilliz Cloud import jobs, or manage import stages (pre-uploaded file holders that…
Use when the user wants to create, list, load, release, or drop partitions in a Milvus collection.
Write a reference documentation page for a specific data type in a ZIO library. Use when the user asks to document a data type, write an API reference for a…
Identify overdue invoices most likely heading toward write-off, while a save is still possible. Use when the user asks about bad debt, write-off risk, invoices…
Run the full analyst pipeline end-to-end — sales performance, collection performance, and subscription growth — then synthesise all three into a single…
Classify free-text cancel reasons into canonical buckets (price, feature_gap, temporary, quality, business_end, duplicate_account, unknown) using the YAML…
Decompose churn into voluntary (customers who chose to leave) vs involuntary (failed payments) and identify which plans and products are driving losses. Use…
Build the retention cohort — at-risk (non-renewing) or recently churned subscriptions normalized with cancel reason, LTV, LTD, plan, and MRR. Use for any…