Sumpa Labs
Official@sumpalabs · United States of America
Sumpa Labs specializes in high-end software development for O&G, Analytics and Machine Learning tooling
Agent Skills by Sumpa Labs
Showing 13 vetted skills indexed across 1 GitHub repositories.
setup-matt-pocock-skills
Configure repo-specific context for Matt Pocock engineering skills.
hf-cli
Automate Hugging Face Hub resource management via the official hf CLI.
improve-codebase-architecture
Identify shallow, tightly-coupled modules for consolidation aligned with ADRs and domain glossary.
triage
Classify GitHub issues and generate durable agent briefs.
diagnose
Diagnose software bugs through a structured six-phase hypothesis-driven workflow.
to-issues
Break down project plans and PRDs into assignable issues with acceptance criteria.
zoom-out
Generate module relationship maps and caller graphs using a project's domain glossary.
write-a-skill
Create agent skills with compliant SKILL.md structure and resource bundling.
grill-with-docs
Validate feature plans against CONTEXT.md terminology and create ADR documents.
caveman
Strip filler words from AI responses to reduce token consumption.
tdd
Guide red-green-refactor cycles with behavior-focused integration tests.
grill-me
Interrogate plan and design decision trees to surface hidden gaps.
to-prd
Synthesize project conversations and codebase context into structured PRDs.
Frequently Asked Questions About Sumpa Labs
FAQPage SchemaWhat specific engineering tasks does Sumpa Labs enable?▼
Sumpa Labs enables systematic codebase architecture improvement, generation of module relationship maps, and the synthesis of project requirements into structured documentation. It facilitates rigorous bug diagnosis through hypothesis-driven cycles and ensures feature plans align with established domain terminology and architectural decision records.
Which personas benefit most from these engineering capabilities?▼
These capabilities are designed for software architects, technical leads, and senior engineers managing complex, modular codebases. The functionality supports those responsible for maintaining high-quality documentation, enforcing architectural standards, and ensuring that project plans remain consistent with the underlying codebase context.
What are the prerequisites for implementing these architectural practices?▼
Implementation requires an existing codebase with established documentation, specifically a domain glossary and architectural decision records. Users must maintain structured project context files to enable the mapping of module relationships and the validation of feature plans against current technical constraints.