Your AI coding agent starts every session knowing your repos, your clients, and how you work — a plain git repo of markdown + YAML it reads at session start, independent of model or frontend. Context compounds instead of restarting. MIT.
Agent Claude Code
Processes document intake in batches — scans filesystem and mail sources, classifies documents against routing rules, previews moves, executes approved moves, and logs to the audit trail. Use for large file/mail archiving batches that would dump too many filenames into the main session context, or when the user says…
Agent Claude Code
Investigates code-level issues in the agency's Python stack (Django, FastAPI, SQLAlchemy) — debugging, log analysis, query optimization, test-coverage gaps. Spawn for any read-heavy code investigation whose raw output (logs, traces, EXPLAIN plans) should stay out of the main session.
Agent Claude Code
Runs and verifies deployments for the agency's two client stacks — BigCorp on AWS (Terraform, Lambda, RDS) and StartupXYZ on Vercel — including CI pipelines, migrations, and secret management. Spawn for deploy execution, rollback prep, or infrastructure checks.
Agent Claude Code
Keeps the agency's multi-client task boards clean — GitHub Projects V2 sync, field updates, weekly client status prep, iteration planning. Spawn for board grooming or status-report collection across BigCorp, StartupXYZ, and internal work.
Agent Claude Code
Single entry point for the example-org engagement — board grooming on the example-board GitHub Project, status-report prep for the example-team mandant, and routing per rules/org/example-routing.md. Spawn for board sync, weekly status collection, or any example-org coordination that would dump too much raw output into…