AI agents skills set

A set of AI agent skills designed to solve research and development tasks.

Skills Overview

Research

General-purpose research and ideation skills.

Skill	Description
explore	Enter explore mode — a thinking partner for exploring ideas, investigating problems, and clarifying requirements before implementation.
scamper	Transform existing ideas into improved variants using the SCAMPER method (Substitute, Combine, Adapt, Modify, Put to other use, Eliminate, Reverse).
triz-solver	Solve inventive engineering, product, process, or system-design problems using TRIZ methodology and contradiction resolution.
vibe-research	Iterative research copilot for exploratory "vibe research" — progressively sharpens broad topics into high-value lines of inquiry.

Engineering Research

Skills that automate the Iterative Engineering Research Methodology — from initial brief to final report. See engineering/README.md for the full workflow.

Skill	Description
research-init	Bootstrap a new research project: create the directory structure, populate the brief, and register the project in the index.
research-prior-art	Search for and catalog existing work — papers, CVEs, tools, talks, blogs, standards — with relevance ratings.
research-hypothesis	Create, update, and manage hypothesis cards and the hypothesis graph (Mermaid DAG + catalog).
research-experiment	Guide experiment design, execution tracking, and result recording for a research hypothesis.
research-decision	Analyze hypothesis results and recommend continue, pivot, kill, or fork decisions.
research-synthesis	Execute the synthesis phase: determine report mode, walk the hypothesis graph, and generate the final report.
research-status	Generate a comprehensive status overview of a research project.

Idiomatic Go

Skills for writing idiomatic, correct, and performant Go code.

Skill	Description
go-code-organization	Well-organized Go code and projects — variable scoping, nested control flow, and project structure.
go-concurrency-foundations	Foundational concurrency concepts — concurrency vs parallelism, goroutine scheduling, and channel semantics.
go-concurrency-practice	Practical Go concurrency rules — goroutines, channels, mutexes, and synchronization patterns.
go-control-structures	Correct usage of range loops, break statements, and defer in loops.
go-data-types	Common mistakes with basic data types, slices, and maps.
go-error-management	Go error management — panic usage, error wrapping, and checking error types and values.
go-functions-methods	Best practices for Go functions and methods — receivers, named results, nil receivers, and defer.
go-optimizations	Performance-sensitive Go code — CPU cache, escape analysis, allocation reduction, profiling, and GC tuning.
go-standard-library	Common Go standard library mistakes — time.Duration, JSON handling, and HTTP pitfalls.
go-strings	Correct and efficient Go string code — iteration, concatenation, and conversions.
go-testing-mistakes	Common Go testing mistakes — test categorization, race detection, and test execution.

Quick Start

Installation

These skills can be installed using the Skills CLI from skills.sh:

# Install all skills collection
npx skills add v0lka/skills --all
# Install a specific skill
npx skills add v0lka/skills --skill <skill-name>

Manual Usage

To use a skill manually, reference the agent skills documentation or load it via your AI agent interface.

License

MIT License — see LICENSE for details.