research_topic_skill
- Go
5
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill lookatitude/beluga-ai --skill research_topic- SKILL.md5.7 KB
Overview
This skill guides systematic research of a Go codebase to discover implementation patterns, trace execution flows, and produce evidence-based recommendations. It frames a research question, maps relevant areas, inspects files and tests, identifies recurring patterns, and delivers a concise, actionable report. The outputs scale from quick summaries to deep analysis depending on time budget.
How this skill works
You start by defining a clear research question and expected deliverable, then map the code areas relevant to that question (core packages, interfaces, providers, tests, examples, docs). For each file visited the skill documents purpose, key types/functions, notable snippets, and observed patterns with file:line evidence. It traces code paths from entry points to completion, compares alternative approaches when needed, and produces a summary with recommendations and open questions.
When to use it
- Evaluating how a feature is implemented across the codebase
- Choosing between multiple architectural approaches used in different packages
- Documenting patterns for onboarding or refactors
- Preparing design recommendations backed by code evidence
- Auditing test coverage and usage patterns
Best practices
- Start with a focused research question and define the decision it will inform
- Include file:line references and real code snippets for every key claim
- Review tests and examples to validate observed behavior
- Trace full execution paths for critical flows, not just isolated functions
- Document assumptions and open questions to guide follow-ups
Example use cases
- Quick Research (≤1 hour): 2–3 sentence summary, one key finding with file:line, and a single recommendation
- Standard Research (1–4 hours): executive summary, findings with evidence, and a comparison of options
- Deep Research (>4 hours): full report with multiple code traces, pattern catalog, and detailed recommendations
- Pattern discovery: find and document registries, factory patterns, tracing, and error handling across packages
- Refactor planning: identify hotspots, code owners, and tests to run before changes
FAQ
I produce short summaries, standard reports with findings and comparisons, or full deep-research documents with traces and pattern catalogs depending on the time budget.
How do you ensure findings are evidence-based?
Every finding cites file:line and includes actual code snippets when possible. Tests and examples are reviewed to validate observed behavior and edge cases.
