Total 51,165 skills
Showing 12 of 51165 skills
Attach judges to AI Config variations for automatic LLM-as-a-judge evaluation. Create custom judges, configure sampling rates, and monitor quality scores.
Use when creating a plan using Plan model and enhancing structured design plans in Cursor Plan mode for Java implementations. Use when the user wants to create a plan, design an implementation, structure a development plan, or use plan mode for outside-in TDD, feature implementation, or refactoring work. Part of the skills-for-java project
Review uncommitted or recently changed files for privacy-by-design rule violations (based on privacy laws like GDPR and LGPD) before committing.
Programmatic JDBC in Quarkus with Agroal DataSource, parameterized SQL, transactions, batching, and Dev Services. Part of the skills-for-java project
Generate standup talking points from One Horizon task data. Supports personal and team scope. Use when asked "prep my standup", "what should I say", "give me my standup update", "team standup summary", or "what should we cover in standup". Requires One Horizon MCP.
Load this skill for any up-fetch task: `up(fetch, getDefaultOptions?)`, `upfetch(url, options?)`. Covers dynamic defaults, auth, request shaping, validation, error handling, lifecycle timing, and runtime caveats.
Look up a Korean postcode from a known address with the official ePost road-name search page. Use when the user knows the address but wants the postal code quickly.
Overview The Instagram Agent allows users to extract data from Instagram, including posts, profiles, hashtags and comments, to bypass limitations of manual research. By using the Instagram Agent, bu
A skill for reviewing a specific diff and showing the findings as comments inside difit (the diff viewer). Use it to review branch diffs, commit diffs, or GitHub PRs, then preload findings or code explanations into difit with `--comment` before launching it for the user.
Build AI agents with Pydantic AI — tools, capabilities, structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, stream output, define agents from YAML, or test agent behavior.
Checkpoint - Pre-publish review with multi-layer deep analysis. Triggers: Preparing to publish an npm package, requiring pre-release review, or checking code change quality. Review Layers: - Per-Change: In-depth analysis of each change group (up to 10 Agents) - Holistic: Parallel review by 5 roles (Architecture/Development/Testing/Security/Documentation) - Synthesis: 1 Agent summarizes review results Commands: - /把关 - Start pre-publish review - /把关 check - Check unpublished changes - /把关 version - Recommend version upgrade - /把关 report - Generate review report - /review - English command Capabilities: Unpublished change detection, in-depth per-change analysis, multi-role review, version recommendation, release risk assessment.
Enrich.so platform help — real-time B2B data enrichment API with 50+ data points per lookup and success-based billing. Key capabilities: reverse email lookup, LinkedIn profile enrichment, email/phone finders, company data, similar company search, employee search, IP to company, and bulk enrichment. Use when enriching contacts by email or LinkedIn URL, finding emails/phones from name+company, looking up company data, running bulk enrichment, or working with the Enrich.so API. Do NOT use for cross-platform enrichment strategy (use /sales-enrich), email deliverability strategy (use /sales-deliverability), or prospect list strategy (use /sales-prospect-list).