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Found 1,603 Skills
One-stop creation of SecondMe integration projects, executing initialization, requirement definition, and project generation in sequence
Use when implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata management, data quality, and complianceUse when ", " mentioned.
Guide for implementing parsers with error recovery for new languages in Biome. Use when creating parsers for JavaScript, CSS, JSON, HTML, GraphQL, or adding new language support. Examples:<example>User needs to add parsing support for a new language</example><example>User wants to implement error recovery in parser</example><example>User is writing grammar definitions in .ungram format</example>
Defines the end users as city field-operations workers and guides mobile-first, highly usable task-management UX decisions. OHØJ
Create and manage SLOs in Elastic Observability using the Kibana API. Use when defining SLIs, setting error budgets, or managing SLO lifecycle.
Guides LLM agents through large-scale coding tasks using a spec-driven, phase-by-phase methodology covering requirement definition, planning, algorithm design, and implementation with OOP principles and language-specific coding standards. Use when starting a new software project, implementing a complex feature, refactoring existing code, or when you need a disciplined step-by-step approach to any non-trivial coding task.
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
Design and implement workflow automation with task routing approval chains and SLA monitoring for securities operations. Use when building a new operational workflow for account opening maintenance transfers or corporate actions, implementing task routing logic based on type priority or capacity, designing multi-level approval chains with dollar thresholds and delegation of authority, defining escalation rules for aging work items approaching SLA breach, selecting a workflow engine or BPM platform like Camunda Pega or ServiceNow, modeling an operational process as a state machine with defined transitions, adding audit trail and logging for SEC Rule 17a-3 or FINRA supervisory obligations, migrating from email-and-spreadsheet tracking to a structured workflow system, or measuring cycle time throughput queue depth and rework rate.
Use when working with Fresh framework, creating routes or handlers in Fresh, building web UIs with Preact, or adding Tailwind CSS in Deno. Covers Fresh 2.x project structure, route handlers, islands, createDefine, PageProps, context patterns, and Fresh 1.x to 2.x migration. Essential for any Fresh-related question.
Type-safe ORM for Cloudflare D1 databases using Drizzle. Use when: building D1 database schemas, writing type-safe SQL queries, managing migrations with Drizzle Kit, defining table relations, implementing prepared statements, using D1 batch API, or encountering D1_ERROR, transaction errors, foreign key constraint failures, or schema inference issues. Keywords: drizzle orm, drizzle d1, type-safe sql, drizzle schema, drizzle migrations, drizzle kit, orm cloudflare, d1 orm, drizzle typescript, drizzle relations, drizzle transactions, drizzle query builder, schema definition, prepared statements, drizzle batch, migration management, relational queries, drizzle joins, D1_ERROR, BEGIN TRANSACTION d1, foreign key constraint, migration failed, schema not found, d1 binding error, schema design, database indexes, soft deletes, uuid primary keys, enum constraints, performance optimization, naming conventions, schema testing
Guide product managers through structured PRD (Product Requirements Document) creation by orchestrating problem framing, user research synthesis, solution definition, and success criteria into a cohes
Creates Rails models using TDD approach - spec first, then migration, then model. Use when creating new models, adding model validations, defining associations, or setting up database tables.