Work-specific capabilities for the Black Duck Data Science team: LLM Gateway management, Atlassian/Confluence/JIRA workflows, data analytics patterns, and content creation guidelines.
Atlassian Confluence and JIRA workflows — page creation, issue management, URL verification patterns
Weeknotes and blog post creation for the Black Duck Data Science team — structure, workflow, formatting
Black Duck data product analytics — catalog structure, Spark SQL patterns, common gotchas, query standards
Execute SQL queries against Databricks and retrieve actual results via the SQL Statement Execution API
LLM Gateway management — user onboarding, budget bumps, model access, manage.py CLI patterns
External network access
Connects to servers outside your machine
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Work-specific capabilities for the Black Duck Data Science team: LLM Gateway management, Atlassian/Confluence/JIRA workflows, data analytics patterns, and content creation guidelines.
Note: This plugin contains internal tooling references, org-specific IDs, and Black Duck infrastructure details. Not intended for use outside the Black Duck / Synopsys context.
professional-contextTeam and org context: Andrew Bolster (Sr Manager R&D Engineering), Tim Cave, Conor Norris, reports to Drew Streib. Primary projects (LLM Gateway, SuperDuck, Databricks, Service-MCP, MCP Integrations). MCP tool configuration — Atlassian cloudId/space IDs, Service-MCP, WorkIQ. Tool preferences and key constraints.
/data-science:professional-context
gateway-managementLLM Gateway CLI operations via scripts/manage.py. User listing, targeted lookup, user creation (with automatic bd-staff team assignment on core), budget bumps, usage summary. Budget request workflow via WorkIQ Teams queries. Alternative data source via Service-MCP SQL. Budget warning thresholds.
/data-science:gateway-management
atlassian-workflowsConfluence and JIRA operations. Page creation with mandatory ai-generated label. Weeknote publication (personal space ~bolster, parent folder 841482874). URL verification via CQL before linking. JIRA issue creation/search/transition. Formatting standards. Large-query agent delegation guidance.
/data-science:atlassian-workflows
data-analyticsBlack Duck security data product analytics. Three-catalog architecture (data_product_marts, data_product_intermediate, data_product_staging). Scale context (~4K customers → ~2.8M findings → ~20M scans). Common gotchas (duplicate records, VARIANT columns requiring STRING cast). Analysis workflow, Spark SQL standards, common query patterns including LLM Gateway.
/data-science:data-analytics
content-creationWeeknote and blog post creation. Two-stage workflow (research in ~/WEEKNOTE.md, editorial for publishing). Weeknote structure (Successes/Failures/Blockers/In-Flight). Formatting requirements, date calculation, LLM Gateway metrics sourcing. Monthly blog post structure, YAML frontmatter. WorkIQ query patterns for research. Mermaid Gantt chart pitfalls.
/data-science:content-creation
project-managementJIRA project management for the DS project (cloudId: 739838e2-f328-4f14-a533-3f7d49323638). Ticket reference format (DS-###), when to create tickets, JQL search patterns, issue transitions. Blocker and in-flight formatting conventions. WorkIQ for Teams communication lookup.
/data-science:project-management
databricks-queryExecute SQL against the BD Databricks workspace and retrieve actual results. SQL Statement Execution API 2.0 pattern (not jobs/notebooks), workspace config (profile blackduck_general, warehouse ID), synchronous vs async query modes, wait_timeout constraints, result format, auth recovery.
/data-science:databricks-query
polarisAdd Black Duck Polaris SAST+SCA security scanning to any repo. One-time setup commands (gh variable set / gh secret set), generic polaris.yml template, GitHub Actions workflow with SARIF upload, local scripts/polaris-scan.sh with auto Bridge CLI download, .gitignore additions, and language-specific notes (standard Python, UV inline scripts workaround, non-Python projects, Makefile false-positive).
/data-science:polaris
cd plugins/data-science
claude plugin validate .
npx claudepluginhub bd-vitalstatistix/claude-marketplace --plugin data-scienceA growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review