Loading...
Loading...
Found 112 Skills
Generate conventional commit messages based on git diff analysis. Use when you need to create well-structured commit messages following conventional commit format.
Design and generate property-based tests (PBT) for changed files in the current git branch. Extracts specifications, designs properties (invariants, round-trip, idempotence, metamorphic, monotonicity, reference model), builds generator strategies, implements tests, and self-scores against a rubric (24/30+ required). Supports fast-check (TS/JS), hypothesis (Python), and proptest (Rust). Use when: (1) "write property tests for my changes", (2) "add PBT", (3) "property-based test", (4) after implementing pure functions, validators, parsers, or formatters to verify invariants.
Find branch coverage gaps in changed code and fix them by writing missing tests. Two analysis layers: Source ↔ Test (logic branches vs test cases) and Spec ↔ Test (requirement scenarios vs test cases, when a spec file is provided). Use when verifying test completeness after implementing a feature or fixing a bug, when auditing whether tests match a spec, or when suspecting untested branches.
Use when reviewing code, pull requests, branches, diffs, or changed files for quality, correctness, security, performance, and style issues.
Auto-generates conventional commit messages from git diffs with tiered format enforcement. Analyzes staged changes to produce meaningful commit messages following Conventional Commits specification.
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".
Removes AI-generated code slop from git diffs to maintain code quality
Start a code review session by launching the diffx server and opening the browser UI. Use when the user invokes /diffx-start-review.
Review AI-agent-implemented code specifically, in four ordered passes for convention-fit, agent-slop signatures, requirement-completeness, then correctness, against the working tree or the branch diff, findings ranked by severity and backed by quoted evidence. Use when the user says "review this code", "review my changes", "review this diff", "check the agent's work", "/reviewkit", or wants a self-review of AI-written changes before commit or PR, even if they don't name the passes.
Simplify and refine code for clarity, consistency, and maintainability
Utiliza esta habilidad para analizar cambios locales en el repositorio Git, redactar mensajes de commit profesionales en español y ejecutar commit/push de forma segura.
Detects optimal commit type from git changes. Use when analyzing commits, determining commit type, or before committing.