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Found 276 Skills
Guide for adding new linting/formatting tools to lintro. Use when implementing shellcheck, shfmt, sqlfluff, taplo, semgrep, gitleaks, or any new tool plugin.
Code review assistance with linting, style checking, and best practices
Patterns for Atlas database schema management covering HCL/SQL schema definitions, versioned and declarative migrations, linting analyzers, testing, and project configuration. Use when working with atlas.hcl, .hcl schema files, Atlas CLI commands, or database migrations.
Check whether a tenant's DEPLOYED Sumsub config actually satisfies a regulation/policy document — tracing each requirement to where it is collected, scored, and ENFORCED, and flagging "collected-but-not-enforced" gaps. TRIGGER when the user has a regulation/policy/requirements doc (PDF or text) and wants to verify the live config matches it, audit a client's setup against compliance rules, "does my config satisfy this regulation", "check conformance / gap analysis", or close the loop after configuring with the create-* skills. SKIP for building config (sumsub-create-*) or for generating a config plan from a regulation (sumsub-analyze-regulation). For pure hygiene linting with no regulation, run this skill's bundled lint_config.py sub-pass directly.
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (47+ rules) then six parallel deep- analysis agents covering bindings, layout, loaders, delegates, states, and performance. Optionally invokes system qmllint for type-level checks. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only -- never modifies code.
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Provides CI/CD pipeline configuration using GitHub Actions for Golang projects. Covers testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines. Use this whenever setting up CI for a Go project, configuring workflows, adding linters or security scanners, setting up Dependabot or Renovate, automating releases, or improving an existing CI pipeline. Also use when the user wants to add quality gates to their Go project.
Use when a workflow, recipe, or capability needs to be packaged as an agent skill, or when an existing skill needs scaffolding, validation, linting, or evals. Covers requests to build, create, generate, scaffold, check, or evaluate a skill: a folder holding SKILL.md, scripts, tests, a task graph, CI, and eval cases. Applies even when the request says playbook, runbook, or reusable workflow instead of skill.
Complete QA, playtesting, and code quality team for game development. Use when evaluating player experience, fun factor, game feel, code quality, test coverage, refactoring, performance testing, or build validation. Covers playtesting methodologies, UX research, unit/integration/e2e testing, code review, linting, accessibility, and continuous quality assurance. Triggers on requests for testing, QA, playtesting, code review, refactoring, bug tracking, or quality validation.
Generate Makefiles with testing, linting, formatting, and automation targets for new projects.
Use when the user wants to create, generate, or set up a GitHub Actions workflow. Handles CI/CD pipelines, testing, deployment, linting, security scanning, release automation, Docker builds, scheduled tasks, and any custom workflow for any language or framework.
The foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki. Based on Andrej Karpathy's LLM Wiki architecture. Use this skill whenever the user wants to understand the wiki pattern, set up a new knowledge base, or needs guidance on the three-layer architecture (raw sources → wiki → schema). Also use when discussing knowledge management strategy, wiki structure decisions, or how to organize distilled knowledge. This is the "theory" skill — other skills handle specific operations (ingesting, querying, linting).