Everything galdr can do

.galdr/ project structure

PROJECT.md, TASKS.md, BUGS.md, PLAN.md, DECISIONS.md, CONSTRAINTS.md

File-first (no cloud)

Everything lives in your repo. Commits with your code.

MIT License

Free forever. Fork, extend, distribute.

Multi-AI support

Claude Code, Cursor, Codex, Gemini CLI, OpenCode

Git-native workflow

No accounts, no databases, no telemetry

PROJECT.md session injection

Agents read mission, goals, and constraints at start

CONSTRAINTS.md enforcement

Hard rules agents check before marking tasks done

DECISIONS.md audit trail

Append-only log of architectural choices and rationale

TASKS.md master index

Single source of truth for all work items

Individual task files

tasks/ folder with spec, acceptance criteria, status history

Status lifecycle

pending → in-progress → awaiting-verification → complete

Priority + dependency system

Critical/High/Medium/Low; blocked-by dependencies

Subsystem ownership

Tasks linked to subsystem specs for ownership tracking

Sprint/batch planning

Complexity scoring and sprint load estimation

Adversarial implement/verify split

The agent that writes code cannot mark it done

@g-go-code implement command

Structured autonomous implementation loop

@g-go-review verify command

Independent verification in a fresh session

Acceptance criteria gate

Agent walks every AC item before marking [🔍]

Bug-discovery gate

Pre-existing bugs must be logged before task can close

Stub/TODO scan

Implementation scanner blocks tasks with unresolved TODOs

Task management skill

g-skl-tasks: create, update, status transitions

Bug tracking skill

g-skl-bugs: BUGS.md + bugs/ lifecycle

Feature management skill

g-skl-features: staging → specced → committed → shipped

Code review skill

g-skl-code-review: security, quality, performance review

Git commit skill

g-skl-git-commit: conventional commits with task refs

Project health skill

g-skl-medkit: detect and repair .galdr/ structure

Status skill

g-skl-status: session context, active tasks, phase

Platform crawl skill

g-skl-platform-crawl: crawl4ai web crawler into vault

Harvest skill

g-skl-harvest: analyze GitHub repos for adoptable patterns

URL ingest skill

g-skl-ingest-url: one-time URL → research/articles/

YouTube ingest skill

g-skl-ingest-youtube: transcript + analysis → vault

Docs ingest skill

g-skl-ingest-docs: periodic platform doc refresh

Reverse spec skill

g-skl-reverse-spec: analyze external repos → FEATURES.md

Project topology linking

Parent/child/sibling project registration

Cross-project task ordering

@g-pcac-order: push tasks from parent to child

Child-to-parent requests

@g-pcac-ask: blocked tasks request parent action

FYI notifications

@g-pcac-notify: lightweight cross-project messaging

Sibling contract sync

@g-pcac-sync: advisory peer-to-peer coordination

Spawn child project

@g-pcac-spawn: create new galdr project linked to parent

File/asset transfer

@g-pcac-move / @g-pcac-send-to: cross-repo asset migration

Event hooks (hooks.json)

Trigger scripts on agent events: session start, task done, commit

Pre-built hooks

g-hk-setup-user, g-hk-validate-shell

42 MCP tools

Unified server exposed to all AI agents via Docker

Agent memory — semantic search

memory_search: vector search across all sessions

Agent memory — session capture

memory_capture_session: AI self-reports summaries

MediaWiki integration

mediawiki_page, mediawiki_search: full wiki R/W

Oracle DB tools

oracle_query, oracle_execute: source + target DB access

Platform docs search

platform_docs_search: crawled Cursor/Claude/Gemini docs

Project health scoring

galdr_health_report: 0–100 score with per-subsystem breakdown

Task validation gate

galdr_validate_task: validates against PROJECT_CONSTRAINTS.md

Docker Compose runtime

Runs locally, no cloud required