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Found 1,660 Skills
End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
Foundation patterns for the `hubspot` CLI — JSONL piping, batch read, pagination, dry-run/digest/confirm for destructive ops, and `hubspot history` for recovery. Every other skill builds on this one.
Use when you need to implement acceptance tests from a Gherkin .feature file for Quarkus applications — including @acceptance scenarios, @QuarkusTest, BaseAcceptanceTest with QuarkusTestResourceLifecycleManager for Testcontainers and WireMock, REST Assured for full HTTP pipeline testing, WireMock JSON mapping files (classpath:wiremock/mappings/), *AT suffix naming, and Maven Surefire/Failsafe three-tier split. Requires the .feature file in context. This should trigger for requests such as Implement Quarkus acceptance tests from a Gherkin feature file; Set up BaseAcceptanceTest with Testcontainers and WireMock for Quarkus; Create WireMock JSON mapping files for external HTTP stubs in Quarkus acceptance tests; Configure Maven *AT naming convention and Failsafe plugin for Quarkus acceptance tests. Part of cursor-rules-java project
Automated AI content pipeline from research to video generation using Claude/OpenAI and Remotion
Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.
Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.
Authoring & setting up Rust projects — idiomatic Rust (ownership/borrowing/cloning patterns, Result error handling, clippy config, static vs dynamic dispatch, performance, doc tests) plus project scaffolding (Cargo.toml, multi-crate workspaces, CI pipelines, rustfmt). Use when writing Rust code or starting/restructuring a Rust project.
End-to-end ETL pipeline for Harvard Art Museums API with SQL analytics and Streamlit visualization
End-to-end data engineering pipeline with Harvard Art Museums API, ETL processing, SQL analytics, and Streamlit visualization
Build end-to-end ETL pipelines with Harvard Art Museums API, SQL analytics, and Streamlit visualization
When the user wants help with outbound sales prospecting, lead sourcing, or pipeline building. Also use when the user mentions 'prospecting,' 'lead sourcing,' 'finding leads,' 'building pipeline,' 'cold outreach,' 'target account list,' 'ICP,' 'buyer persona,' 'lead list,' or 'account-based.' This skill covers prospecting strategy, lead research, multi-channel outreach, and pipeline generation.
Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.