Review the current branch for bugs, intent fit, and test coverage; run or write tests; commit focused work; open or update a PR.

Audit a Cursor plugin for marketplace readiness. Use when validating manifests, component metadata, discovery paths, and submission quality before publishing.

Request a code review for a commit and present the results

Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.

Two-mode writing guide — exports a paste-ready style prompt for coding agents (handoff mode) or reviews a draft against the documentation quality rubric (review mode).

Post-completion self-review for coding agents that runs simplify, harden, and micro-documentation passes on non-trivial code changes. Use when: a coding task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.

Validate shell builtins against GTFOBins attack patterns to ensure exploits are blocked by the sandbox

Write and evolve technical specifications — grounded design documents for a project, epic, or story. Record hard-to-reverse decisions as ADRs. Push back when the design isn't yet grounded in the codebase.

This skill should be used when the user says "swift", "arness code swift", "quick change", "small change", "just do this", "quick feature", "quick implementation", "swift fix", "implement this quickly", "add this quickly", "simple change", "just implement this", "arn-code-swift", "swift mode", "quick task", or wants a lightweight, pattern-aware implementation for a small feature or enhancement (1-8 files) without going through the full Arness pipeline. Bridges the gap between raw Claude Code and the full feature-spec/plan pipeline. Includes architectural assessment, targeted testing, and pattern compliance review.

This skill should be used when the user says "manage environments", "arn infra env", "infra env", "environment setup", "configure environments", "set up staging", "set up production", "environment management", "create environment", "environment promotion", "promote to staging", "promote to production", "environment isolation", "configure dev staging prod", "environment-specific config", "tfvars per environment", "arn-infra-env", or wants to configure, create, or manage infrastructure environments (dev/staging/production) with isolation strategies, variable overrides, and promotion rules.

Brainstorm an inspiring, achievable, and emotional product vision that motivates teams and aligns stakeholders. Use when defining or refining a product vision, creating a vision statement, or aligning the team around a shared direction.

Skills covering Upstash Search quick starts, core concepts, and TypeScript/JavaScript SDK usage. Use when a user asks how to get started, how indexing works, or how to use the TS client.

Google Cloud Platform infrastructure patterns and best practices. Use when designing or implementing GCP solutions including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.

Save investigation findings to a markdown report file. Use after completing triage, enrichment, or investigation to create a permanent record. Generates timestamped files in ./reports/ directory.

Perform exhaustive analysis of a critical IOC. Use when an IOC needs Tier 2+ investigation beyond basic enrichment - includes GTI pivoting, deep SIEM searches, correlation with related entities, and threat attribution. For escalated IOCs requiring comprehensive investigation.

Maximize context window efficiency, reduce latency, and prevent lost-in-middle issues through strategic masking and compaction. Use when token budgets are tight, tool outputs flood the context, conversations drift from intent, or latency spikes from cache misses.

Use when interpreting scientific graphs and charts, explaining data visualizations for research presentations, writing figure captions for publications, or analyzing trends in clinical research data. Converts complex visual data into clear, accurate explanations for academic papers, clinical reports, and public presentations.