FIT Lab - AI
Official@fitlab-ai
FIT Lab provides structured lifecycle management for GitHub-based software engineering, encompassing issue tracking, dependency remediation, and release orchestration.
Agent Skills by FIT Lab - AI
Showing 29 vetted skills indexed across 1 GitHub repositories.
fitlab-aiplan-task
Generate technical design plans and implementation roadmaps for human review.
fitlab-aiimplement-task
Automates task implementation from approved plans and outputs a report file.
fitlab-aicommit
Automate Git commits with conventional messages and task updates.
fitlab-aicreate-issue
Create a GitHub issue from task.md and write the issue_number back.
fitlab-aiimport-dependabot
Import Dependabot security alerts and create structured remediation task skeletons.
fitlab-aitest
Run a Node.js project's full test suite with compilation checks and unit tests.
fitlab-airestore-task
Restore local task workspace files from Issue comments marked with sync-issue tokens.
fitlab-aiblock-task
Block tasks under .agents/workspace/active and record the blocking reason.
fitlab-aiimport-issue
Import a GitHub Issue into a new task with metadata and lifecycle tracking.
fitlab-aiinit-milestones
Create and update GitHub milestones from version baselines via gh CLI.
fitlab-aiclose-codescan
Close GitHub Code Scanning alerts with justification and audit logging.
fitlab-aiarchive-tasks
Archive completed tasks into date-organized directories and rebuild manifests.
fitlab-airelease
Automate end-to-end version release workflows with X.Y.Z validation, testing, and tagging.
fitlab-aianalyze-task
Generate requirements analysis documents from task.md files.
fitlab-aicheck-task
Extract task metadata from task.md and report workflow status with next actions.
fitlab-aicreate-task
Convert natural-language descriptions into structured tasks with branch metadata.
fitlab-aiclose-dependabot
Close Dependabot security alerts with a logged justification.
fitlab-aicomplete-task
Validate prerequisites, update metadata, and archive completed tasks.
fitlab-aiinit-labels
Initialize standardized GitHub Labels for a repository with idempotent updates.
fitlab-aicreate-release-note
Generate release notes from merged pull requests and commits within a version range.
fitlab-aicancel-task
Cancel active or blocked tasks and archive them under completed/ with status and timestamps.
fitlab-aiupgrade-dependency
Upgrade a specified dependency to a new version and validate via install, build, and tests.
fitlab-aicreate-pr
Create pull requests from local git and GitHub CLI with task metadata.
fitlab-airefine-title
Refine issue or PR titles into Conventional Commits format.
Frequently Asked Questions About FIT Lab - AI
FAQPage SchemaWhat specific engineering tasks does FIT Lab support?▼
FIT Lab supports technical design planning, GitHub issue lifecycle management, dependency version upgrades, security alert remediation, and end-to-end release validation. It enables teams to convert natural-language requirements into structured tasks, execute unit and integration tests, and maintain standardized repository metadata.
Which personas benefit most from these capabilities?▼
Software engineers, DevOps practitioners, and technical leads benefit from these capabilities. The system is designed for teams managing high-velocity repositories who require standardized issue tracking, consistent commit formatting, and rigorous security alert remediation processes within their existing development environment.
What are the prerequisites for deploying these capabilities?▼
Deployment requires a GitHub repository environment and access to the GitHub CLI. The system relies on local task workspace files, specifically task.md files for metadata, and assumes a Node.js environment for executing test suites and dependency validation routines.