FuseBase
Official@fusebase-dev
Offers a structured framework for enterprise application development, focusing on rigorous documentation, architectural governance, and secure backend integration.
Agent Skills by FuseBase
Showing 52 vetted skills indexed across 1 GitHub repositories.
repo-onboarding-context-map
Inspect a repository and generate a repo-context.md file with commands and protected paths.
comment-policy
Remove redundant code comments while retaining tripwires and retrieval pointers.
documentation-budget
Classify AI-consumed documentation requests into five risk-aligned tiers.
phase-audit
Audit all slices in a completed project phase against specifications.
fusebase-flow-health-check
Diagnose Fusebase Flow installation health by ownership layer with verdict codes.
task-delegation
Coordinate parallel AI agent tasks with role-based delegation and verification rules.
role-discipline
Enforce role-specific behavioral guardrails and refusal protocols for FuseBase Flow development workflows.
handoff
Generate a standardized 16-section handoff document capturing coding session state.
module-size-discipline
Enforce configurable line-count limits on source code files during implementation.
code-review
Review code diffs against project specs, decisions, and FLOW_RULES.
product-docs-first
Generate structured per-app product documentation before implementation begins.
client-vs-internal
Classify app surfaces as client-facing, internal, or shared using docs/audience.md.
lightweight-lane
Classify small code changes and run a streamlined build-verify-deploy workflow.
liveness-discipline
Enforce liveness safeguards for long-running background tasks with bounded timeouts.
app-quality-patterns
Provide cross-project quality patterns for LLM-built app workflows.
smoke-testing
Enforce post-deploy smoke tests verifying operator-visible outcomes with ground-truth diagnostics.
zoom-out
Enforces root-cause analysis before code changes to prevent recurring bug patches and code drift.
validation-and-qa
Enforce deterministic pre-deploy code validation gates for FuseBase Flow workflows.
token-economy
Audit AI agent sessions for redundant token consumption against FR-26 rules.
release-deploy-reporting
Generate auditable deploy handoff documents and validate post-deploy artifacts.
product-apps-decomposition
Decompose a single product into multiple focused applications for optimal architecture.
git-history-diagnostic
Locate the regression-causing commit via git bisection and output its diff.
project-onboarding
Capture project vision, audience, and success criteria into standardized artifacts.
business-logic-guardian
Check planned code changes against documented business logic files.
Frequently Asked Questions About FuseBase
FAQPage SchemaWhat specific tasks can developers perform using FuseBase?▼
Developers can initialize application projects, configure Hono-based backends, manage secure environment variables, and enforce strict UI standards using Tailwind CSS and shadcn/ui. It also enables automated repository context mapping, git history diagnostics, and cross-app API contract testing.
Which engineering personas benefit most from this framework?▼
Full-stack engineers and technical leads focused on enterprise-grade application stability benefit most. It is designed for teams requiring rigorous documentation, standardized handoff procedures, and deterministic validation gates to maintain high-quality codebases across complex, multi-app product architectures.
What are the primary prerequisites for deploying FuseBase applications?▼
Deployment requires a configured environment supporting Hono-based backends, Vite build configurations, and integration with the FuseBase Gate for MCP-based service discovery. Developers must maintain project-specific business logic in markdown files to enable the framework's validation and governance features.