SpurLab AI
Official@getspur
AI development environment
Agent Skills by SpurLab AI
Showing 49 vetted skills indexed across 1 GitHub repositories.
brain-review-gate
Validate worker output against beads state and audit requirements.
plan-task-discipline
Enforce DAG-based task transitions and file scope boundaries in git worktrees.
test-driven-development
Enforce a Red-Green-Refactor cycle requiring failing tests before code implementation.
systematic-debugging
Systematizes bug identification and resolution using a four-phase scientific debugging methodology.
brain-delegation-claude-code-acp
Configures Claude Code to route tasks among SPUR agents via mapped delegation tools.
brain-delegation-claude-code
Delegate software development tasks to specialized worker agents via SPUR CLI.
beads-lifecycle
Standardize coding agent task lifecycle management with a status state machine and label vocabulary.
open-design
Create UI prototypes and slide decks through Jute notebook cells.
spur-way
Enforce beads as the source of truth for multi-agent task delegation.
performance-investigation
Profile CLI applications and binary workloads to quantify on-CPU and off-CPU bottlenecks.
code-explore
Provides graph-based navigation and analysis of codebases for structured querying and impact assessment.
worker-mention-routing
Route tasks to @-mentioned agents and validate worker availability.
brain-delegation-gemini
Guide Gemini to delegate tasks across specialized agents in the SPUR framework.
brain-delegation-kiro
Coordinate task decomposition and tool-based delegation to specialized coding agents.
brainstorming
Guide structured design specification creation with beads-tracked epics.
writing-plans
Generate beads-backed Directed Acyclic Graph implementation plans for multi-agent orchestration.
brain-delegation
Standardizes delegation of coding tasks to specialized agents in the SPUR environment.
requesting-code-review
Dispatch specialized subagents to evaluate git-based code changes before merge.
receiving-code-review
Validate code review feedback against the project's code graph and analytical database.
worker-signals
Standardize blocker, scope drift, and architectural risk reporting in multi-agent coding environments.
spur-analyst
Analyze codebase metadata as a property graph using DuckDB and DuckPGQ.
writing-skills
Create and maintain AI agent skills using Test-Driven Development cycles.
brain-delegation-codex
Enforce delegation-first strategies for complex coding tasks in multi-agent orchestration.
verification-before-completion
Enforces verification of code changes, test results, and build statuses before completion.
Frequently Asked Questions About SpurLab AI
FAQPage SchemaWhat specific tasks can I perform using SpurLab's environment?▼
You can orchestrate multi-agent development, perform graph-based codebase analysis using DuckDB, enforce test-driven development cycles, and validate logical invariants using Z3 model-finding to ensure code integrity.
Which personas benefit most from this development environment?▼
Software engineers, technical leads, and systems architects managing complex, multi-agent coding environments benefit from the structured task delegation, rigorous verification gates, and codebase visibility provided by the platform.
What are the core prerequisites for running these development skills?▼
The environment requires a local repository setup, familiarity with DAG-based task structures, and the configuration of specialized worker agents to handle delegated development, testing, and analysis responsibilities.