with one click
skills
skills contains 18 collected skills from nearform, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use this skill when writing or reviewing BDD/Cucumber feature files and step definitions. It keeps Gherkin declarative and behaviour-focused, keeps step definitions thin, and delegates all framework mechanics (selectors, waiting, network, assertions) to the matching framework skill.
Generate reviewer-ready, traceable test cases from Jira issues using an available Jira MCP server.
Compress a supplied text (pasted or a file path) to its load-bearing minimum: remove filler, keep every claim, qualifier and scope. EXPLICIT INVOCATION ONLY: use only when the user names the skill; never auto-trigger on generic requests to shorten or tighten text, and never apply to your own chat replies.
Compact the current conversation into a handoff markdown document for another agent or session to pick up. Use when handing off a side task, spawning a prototype session, passing work to a different agent (Cursor, Codex, GitHub Copilot CLI, Claude Code), or keeping the current session focused while continuing work elsewhere. Also use when the user says handoff, hand off, or wants a handoff document.
Scaffold a new Python project that follows modern best practices, using uv by default to initialize and manage the project (with pip/venv, pipenv, or manual fallbacks if uv isn't available). Sets up ruff (lint + format), mypy type checking, pre-commit, a tests/ folder with pytest, and optionally Docker, a CI workflow, coverage, placeholder structure, and a git repo with .gitignore. Use when the user wants to start/create/bootstrap a new Python project, says "set up a Python project", "init a python repo", "new python project with best practices", or similar.
Use this skill when writing, reviewing, or refactoring database queries with @nearform/sql — Nearform's tagged-template library that produces SQL-injection-safe parameterized queries for pg, mysql, and mysql2. Covers installation, the SQL tag (.text/.sql/.values/.debug), helpers (glue, map, unsafe, quoteIdent), Fastify integration, dynamic/bulk queries, and security best practices. Trigger terms: SQL, query, parameterized query, SQL injection, pg, postgres, mysql, @nearform/sql, glue, quoteIdent.
Rules and frameworks for writing high-quality LLM system prompts. Use this skill whenever you are authoring, reviewing, editing, or optimizing a system prompt — including when generating a system prompt as part of building an agent, tool, or workflow. Trigger on any task that involves writing instructions for an LLM, crafting a system message, tuning prompt wording, or reviewing an existing prompt for quality. Even if the user doesn't say 'system prompt' explicitly, use this skill when the output will be consumed as LLM instructions.
Assess security advisories against a Git repository by creating an isolated worktree, building a PoC exploit, and validating whether the described vulnerability is real and exploitable. Use when given a CVE, GitHub Security Advisory, or vulnerability description to verify.
Use this skill when writing, reviewing, or maintaining automated tests to ensure they are deterministic, reliable, and maintainable across frameworks.
Use this skill when writing or reviewing Cypress tests to apply Cypress-specific best practices for reliable, idiomatic test code.
Use this skill when writing, reviewing, or maintaining k6 performance tests to validate system behaviour under load using k6 best practices.
Use this skill when writing, reviewing, or maintaining Pact contract tests to ensure compatibility between the consumer and provider using Pact best practices.
Use this skill when working with Playwright tests and applying best practices for reliable, parallel-safe test automation.
Use this skill when improving the maintainability, readability, organization, and architecture of existing automated tests without changing their behaviour.
Use this skill when reviewing automated tests to diagnose quality, reliability, and standards issues. Produces a verdict and actionable findings; does not restructure code.
Use this skill when writing, reviewing, or maintaining WebdriverIO web and mobile tests.
Build an interlinked markdown knowledge graph of an unfamiliar codebase and explore it. Scans the project, extracts modules/functions/relationships, writes one-concept-per-note Obsidian/Quartz/Foam-compatible markdown with [[wikilinks]] and backlinks, maps architecture and domain, and offers a guided tour. Adaptively asks which capabilities you want — knowledge notes, a Quartz graph viewer, a query/explore interface, incremental re-analysis on commits — and provisions only those. Use when onboarding to a new project, reverse-engineering legacy or undocumented code, ramping a teammate, or answering 'how does this whole system fit together and where does X live?'. Trigger on 'understand this codebase', 'map this repo', 'onboard me to', or 'build a knowledge base of this project'.
Enforces Clean Architecture layering for TypeScript factory-based codebases. Use when creating, refactoring, or reviewing handlers, services, domains, and repositories. Covers layer responsibilities, factory function rules, when to create vs inline logic, and file size heuristics for splitting. Trigger terms: service, domain, repository, handler, factory, clean architecture, layer separation, SRP, refactor, split file, too many lines.