Agent Skills catalog · page 184
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stevengonsalvez/agents-in-a-box
ainb-fleet:fleet-needs
Workflow-backed Jarvis control panel. Runs the deterministic `hangar` workflow with verb=needs (discover → enrich → prioritize), renders the Jarvis HUD from its render-ready cards, fires AskUserQuestion per blocked session, and routes each answer back via tmux send-keys (broker fallback only). Requires the workflow gate (CLAUDE_CODE_WORKFLOWS=1). If the gate is off, fall back to the prompt-driven `/ainb-fleet:needs` skill.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-ai-bi-genie
Use this skill to statically review AI/BI Genie agent and dashboard design: agent scoping (30-table limit), instructions and trusted assets, metric-view correctness, dashboard limits and rendering, benchmark design and honest accuracy reading, and the critical 'Individual data' versus 'Share data' permission decision. Reads agent and dashboard configuration, schema, metric definitions, and benchmark results only; it never executes any agent query and never runs a dashboard. Highest consequence:
VincentChuWaiChow/vanguard-frontier-agentic
databricks-data-protection-privacy
Use this skill to review Databricks data protection and privacy design for regulatory alignment and least-privilege enforcement: row filters and column masks, ABAC policies, data classification, deletion and GDPR erasure mechanics, Delta Sharing egress, residency and Geo constraints, and customer-managed encryption. Reads schemas, mask/filter definitions, classification results, sharing configs, and encryption settings only; never executes masks or deletes data.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-data-quality-observability
Use this skill to design and verify data quality expectations, table constraints, Lakehouse Monitoring, freshness detection, event-log interrogation, quality SLAs, and downstream quality signaling for Lakeflow pipelines. Reads pipeline source, table schema, expectations, monitor configuration, and event-log queries only; never executes pipelines and never assumes metric availability without verification.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-developer-platform
Use this skill to review a Declarative Automation Bundle configuration, authentication setup, and deployment flow against production readiness criteria: bundle structure, deployment modes, run-as identity boundaries, variable resolution timing, OAuth and environment-variable authentication, Terraform versus direct deployment, Git folder segregation, and CI/CD gate design. Reads bundle configuration, CI/CD workflows, and Git branch structure; never executes commands, never deploys, and never acce
VincentChuWaiChow/vanguard-frontier-agentic
databricks-finops-cost
Use this skill to statically review Databricks cost and cost-attribution: system.billing.usage and system.billing.list_prices for correct joins, custom-tag-based attribution with coverage-confidence reporting, DBU uptime charging semantics, serverless versus classic cost comparison validity, budgets and their non-enforcing nature, compute policies and idle controls, and instance-pool cost floors. Reads billing system tables, compute config, and policies only; it never executes queries and never
VincentChuWaiChow/vanguard-frontier-agentic
databricks-genai-evaluation-observability
Use this skill to review generative-AI evaluation, tracing, and observability design on Databricks: MLflow Tracing instrumentation and span design, trace storage and governance, `mlflow.genai.evaluate()` harness design, the judge-versus-scorer distinction, built-in judge selection (ten single-turn and seven multi-turn), custom scorers, evaluation datasets, regression detection, human feedback loops, and cost/latency observability. Treats every LLM judge as an instrument with error.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-identity-network-security
Use this skill to review Databricks identity and network security design for proper admin separation, SCIM/federation configuration, credential hygiene, and network boundary enforcement: admin roles, service-principal posture, OAuth vs PAT, token lifecycle, IP access lists, serverless network policies, secret scopes, and best practices. Reads configuration only; never creates, updates, or rotates credentials.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-lakeflow-pipeline-engineering
Use this skill to design Lakeflow Spark Declarative Pipelines: medallion layering, Lakeflow Jobs orchestration and task dependencies, Delta table layout (liquid clustering, deletion vectors, Predictive Optimization), Auto Loader ingestion, schema evolution and `_rescued_data`, materialized views versus streaming tables, and backfill strategy. Reads pipeline source, table metadata, and job definitions only; never executes pipelines and never assumes feature availability without checking the docum
VincentChuWaiChow/vanguard-frontier-agentic
databricks-mlops
Use this skill to review machine-learning model lifecycle on Databricks: MLflow 3 with Unity Catalog as default registry, alias-based promotion and champion/challenger patterns, feature-store design with point-in-time correctness, Model Serving endpoint configuration and traffic management, inference-table auto-logging with at-least-once guarantees, batch inference with `ai_query()`, and cross-environment promotion paths. Establishes evidence linking tests to production deployments without execu
VincentChuWaiChow/vanguard-frontier-agentic
databricks-platform-architecture
Use this skill to review Databricks account and workspace topology for scalability and Well-Architected alignment: metastore-per-region constraint, workspace segmentation ratios, serverless vs classic placement, catalog organisation, cross-region and cross-organisation access patterns, and platform quota headroom. Reads workspace inventory and compute/metastore assignments only; never accesses live workspaces or requires credentials.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-platform-reliability
Use this skill to diagnose and design platform reliability using system-table evidence, job and pipeline execution review, cluster policies, instance pools, quota headroom, and disaster-recovery posture: job timeouts and retries, run-history retention, managed DR design, incident-evidence preservation, and quota limits. Reads job and pipeline definitions, cluster policies, system-table schemas, and incident logs; never executes queries or triggers live operations.
VincentChuWaiChow/vanguard-frontier-agentic
databricks-sql-performance
Use this skill to statically review SQL warehouse and query performance: warehouse type and sizing for concurrency, Photon and Predictive I/O applicability, three-tier caching semantics and when a cached result is misleading, query-profile reading for skew and spill, data layout via liquid clustering and data skipping, and materialized-view refresh timing. Reads warehouse configuration, schema, query text, query profiles, query history, and ANALYZE output only; it never executes any query and ne
VincentChuWaiChow/vanguard-frontier-agentic
databricks-unity-catalog-governance
Use this skill to review Unity Catalog governance design for privilege correctness, ownership clarity, and least-privilege enforcement: three-level namespace design, GRANT inheritance, ownership, workspace-catalog binding, governed tags, storage credentials, and audit completeness. Reads UC metadata and privilege assignments only; never executes grants and never requires credentials.
treasure-data/td-skills
email-campaign
This skill should be used when the user asks to "create an email", "build an email campaign", "design an email template", "generate an email for a segment", "preview an email", or "push an email to Engage". Generates enterprise-grade HTML email templates with live preview in Treasure Studio and natural language editing, then pushes the final version to Treasure Engage.
upex-galaxy/agentic-qa-boilerplate
git-flow-master
End-to-end Git operator for any branching strategy. Auto-detects the project's strategy (solo-main, main+integration, enterprise multi-branch, trunk-based, GitFlow, GitHub Flow, GitLab Flow, SDET integration-trunk for chained test-automation suites) from .git config, branches, and the `git_strategy:` block in `.agents/project.yaml`, then adapts every commit, branch, push, PR, conflict-fix, and chained-PR action to that strategy. Use this skill whenever the user wants to: create a branch (`crear
ommakes/Skills
metrics-tagging
Analyze UI mockups, screenshots, or prototype frames to identify all trackable interactions and generate a complete analytics event taxonomy table, including multi-step task/flow completion events. Use this skill whenever a designer uploads a screen, mockup, prototype screenshot, or UI frame and wants to know what should be tagged, what events to fire, or how to document analytics for handoff. Also trigger when someone asks to "tag this screen," "identify events," "create a tagging spec," "what
upex-galaxy/agentic-qa-boilerplate
pr-review-lead
Acts as a QA Lead / QA Architect reviewing a pull request's test-automation work against this repo's KATA doctrine (or the target repo's own doctrine, if it has one) and general QA best practices — grounding every finding in a concrete doctrine citation or code location, never a guess. Use whenever the user wants to review, audit, or give feedback on a colleague's or a teammate's PR, whether it lives in THIS repo or an external repo the user points at (owner/repo#PR via gh). Triggers on: revisa
VincentChuWaiChow/vanguard-frontier-agentic
product-analytics-experimentation-review
Review frontend analytics instrumentation and A/B or multivariate experiment configurations for event-schema correctness, sample-ratio-mismatch risk, statistically valid stopping rules, and consent-gated privacy compliance before shipping a tracking or experiment change.
VincentChuWaiChow/vanguard-frontier-agentic
salesforce-bulk-data-ops-skill
Generates scripts for Salesforce bulk data operations: mass owner reassignment, record deduplication (Apex MergeOpportunities pattern), mass field update, batch close stale records, contact deactivation, and lead conversion. Outputs both Data Loader CSV transformation templates and Anonymous Apex scripts ready for sf apex run. T0 generation only — T2 dry-run execution requires salesforce-deployment-validator-skill. TRIGGER when: user says reassign owners, mass update field, deduplicate records,
VincentChuWaiChow/vanguard-frontier-agentic
salesforce-soql-generator-skill
Generates SOQL queries from natural-language requirements without executing them. T0 generation skill — emits ready-to-paste SOQL with selectivity analysis, governor-limit guidance, and a 100-point quality score. Pairs with salesforce-soql-explorer-skill for live execution. TRIGGER when: user describes a query in plain English, asks for SOQL syntax help, needs an aggregate or relationship query, wants a pipeline hygiene query, needs report-equivalent SOQL. Trigger phrases: "write SOQL for", "how
VincentChuWaiChow/vanguard-frontier-agentic
snowflake-bcdr-resilience
Use this skill to test whether a Snowflake recovery claim is provable: replication versus failover groups and their membership, edition and region constraints, Client Redirect, RPO and RTO tracked as requested/feasible/proven, the dependency matrix outside Snowflake, DR drill scope and evidence, failover preconditions and data-loss window, and failback design. Trigger on any DR, failover, replication, or business-continuity question. Static review only: it never promotes or fails over anything,
VincentChuWaiChow/vanguard-frontier-agentic
snowflake-business-value-adoption-strategist
Use this skill to test whether a Snowflake initiative removes a business constraint anyone owns: value hypothesis, pre-work baseline, benefit modelling by credibility category, unit economics, causal attribution, adoption, time to value, decision latency, alternatives including do-nothing, benefit realization, and translation into executive KPIs. Trigger when an initiative is proposed, prioritized, or being justified — and especially when the justification is that Snowflake supports the capabili
VincentChuWaiChow/vanguard-frontier-agentic
snowflake-cortex-ai-agent-security-governor
Use this skill to review the security and governance boundary of Snowflake AI: Cortex Agents and their identity and effective data reach, CORTEX_USER versus CORTEX_AGENT_USER and AI-function privileges including grants to PUBLIC, Cortex Search corpora as an untrusted-content surface, Cortex Analyst semantic exposure, tools and MCP connectors as privilege grants, prompt and indirect prompt injection, exfiltration paths, guardrails, adversarial evaluation, observability, and cost per successful ta